Undergraduate Teaching 2025-26

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Engineering Tripos Part IIB, 4E3: Business Innovation in a Digital Age, 2022-23

Module Leader

Karla Sayegh

Timing and Structure

Michaelmas term. Assessment: Coursework / 1 Individual Paper 100%

Aims

The aims of the course are to:

  • Analyse the approaches, challenges and trade-offs involved in developing and implementing digital innovation
  • Examine how digital technologies such as platforms, artificial intelligence (AI) and big data are transforming work and organizations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the distinctive characteristics of digital technologies
  • explain how digital platforms have changed strategic thinking, firm economics and business models
  • analyse how different types of organizations can create, navigate and leverage ecosystems for innovation
  • explain the benefits and challenges of open innovation in established firms
  • explain the mechanisms and challenges of knowledge collaboration for innovation
  • evaluate the potential of data and algorithms in transforming knowledge work
  • understand the planned and unintended consequences of digital technologies in organizations
  • think critically about the organisational and societal challenges triggered by the emergence of new technologies

Content

Now more than ever, emerging digital technologies, such as robotics, cloud computing, quantum computing, digital platforms and sophisticated learning algorithms that exploit massive trace data, are enabling innovation in unprecedented ways. Digital innovation has not only transformed products and services but has also upended business models, ways of working, forms of organizing and the ability to access ideas and expertise. However, digitally-enabled innovation is challenging because organizations may need to shift away from the very capabilities that underpinned their past successes. In the digital era, managers and professionals need to think differently about fundamental aspects of their business such as its strategy and associated business models, marketing approaches, organizational structures and incentives, cultures and the coordination of expertise. 

In this module, you will learn about digital platforms and ecosystems, artificial intelligence (AI), open innovation and knowledge integration and how they have transformed strategy-making, decision-making, business models, collaboration, expertise, work and organizing. You will also analyse the challenges and trade-offs involved in developing, implementing and scaling digital transformation initiatives. Finally, you will apply key concepts and analytical tools to real world business problems through interactive discussions of case studies.

MODULE OUTLINE

Session 1: Introduction to innovation in a digital age

Session 2: Platforms and ecosystems – part 1

Session 3: Platforms and ecosystems – part 2

Session 4: Algorithms and work

Session 5: Open innovation

Session 6: Knowledge collaboration for innovation

Session 7: Technology and the changing nature of work

Session 8: Student presentations and peer-reviews

Please note that all sessions will be highly interactive and discussion-based. In every session, we will sense-make about real business problems via case studies both collectively and in small groups. Therefore, you are expected to come to class having prepared the assigned case study for that session.

 

MODULE OUTLINE

Session 1: Introduction to innovation in a digital age

- Understanding what innovation means

- Identifying the distinctive characteristics of digital technologies 

- Introduction to the course, what to expect and how we will work

 

Pre-reading

Garud, R., Tuertscher, P., & Van de Ven, A. H. (2013).

Perspectives on innovation processes. The Academy of Management Annals, 7(1), 775-819.

 

Yoo, Y. et al. (2012)

“Organizing for Innovation in the Digitized World.” Organization Science, 23(5): pp. 1398-1408.

 

 

Supplemental reading

Christensen, C.M  et al. (2015)

“What Is Disruptive Innovation?” Harvard Business Review. 2-11.

 

Christensen, C.M  et al. (2013)

Christensen, Clayton M. The innovator's dilemma: when new technologies cause great firms to fail. Harvard Business Review Press, 2013. Chapter 11.

 

 

Session 2: Digital innovation: Platforms and ecosystems

- The new logic platforms: strategy, structure, business models

- How to launch and scale platforms

- Leveraging ecosystems

 

Pre-reading

Van Alstyne, M., Parker, G., and Choudhary, S. (2016)

‘Pipelines, platforms, and the new rules of strategy.” Harvard Business Review.

 

Jacobides, M. (2019)

“In the platform economy, what’s your strategy?” Harvard Business Review.

 

 

Case Study

Markovich, S., Meagher,E. (2015)

“OurCrowd: Growing a Crowdfunding Platform in a VC World.” Harvard Business Publishing.

 

 

Supplemental reading

Cusumano, M. A., Yoffie, D. B., and Gawer, A. (2020)

“The Future of Platforms.” MIT Sloan Management Review, 61(3): pp. 46-54

 

McGrath, R. and McManus, R. (2020)

“Discovery-Driven Digital Transformation:  Learning Your Way to a New Business Model” Harvard Business Review. 98(3): pp. 124-133

 

 

 

Session 3: Platforms and ecosystems (cont’d)

- How to launch a platform

- How to grow and scale a platform

- The importance of context

 

Pre-reading

Wu, A., Clough, D, and Kaletsky, S. (2019)

“Nascent Platform Strategy: Overcoming the Chicken-or-Egg Dilemma.” Harvard Business Review.

 

Hagiu, A. (2014) “Strategic decisions for multi-sided platforms.” MIT Sloan Management Review  

Zhu, F. and Iansiti, M.

“Why Some Platforms Thrive and Others Don't” Harvard Business Review

 

 

Case Study

Jelassi, T., Kordy, A., Ode, H., Podkolzine, R., and Vamala, S. (2018)

“Nestle: Developing a Digital Nutrition Platform For Japan.” Harvard Business Publishing.

 

 

 

Supplemental reading

Yoffie, D. B., Gawer, A., & Cusumano, M. A. (2019)

“A study of more than 250 platforms a reveal why most fail.” Harvard Business Review.

 

Cennamo, C. and Sekol, D (2021) “Can the EU Regulate Platforms Without Stifling Innovation?” Harvard Business Publishing.  

 

Session 4: Data and Algorithms

- Big data and business intelligence

- Ethical issues of algorithmic and data-driven ways of working

- Digital transformation with AI

 

Pre-reading

Faraj, S., Pachidi, S., & Sayegh, K. (2018)

 “Working and organizing in the age of the learning algorithm.” Information and Organization, 28(1): pp. 62-70

 

Foutaine, T., McCarthy, B.,& Saleh, T. (2019)

“Building the AI-powered Organziation: Technology isn’t the biggest challenge; Culture Is.” Harvard Business Review.

 

Case study

Greenstein, S. & Gulick, S.

“Zebra Medical Vision.” Harvard Business Publishing.

 

 

 

Supplemental reading

Lebovitz, S, Levina, N., Lifshitz-Assaf, H., (2021) 

“Is AI ground truth really true?” MISQ, 45(3): pp. 1501-1525

 

Mohlmann, M. and Henfridsson, O. (2019)

“What people hate about being managed by algorithms” Harvard Business Publishing.

 

Joshi, M., Su, N., Austin, R. (2021) "Why so many data science projects fail to deliver” MIT Sloan Management Review.  

 

Session 5: Open innovation

- What is open innovation (OI)

- How to design and execute an OI initiative – OI as digital transformation

- Challenges to open collaboration

 

Pre-reading

Boudreau, K. J., & Lakhani, K. R. (2013).

“Using the Crowd as an Innovation Partner.” Harvard Business Review,” 91(4), 60-69.

 

King, A., & Lakhani, K. R. (2013).

“Using open innovation to identify the best ideas. MIT Sloan Management Review,” 55(1), 41

 

Lifshitz-Assaf, H., Tushman, M., & Lakhani, K. R. (2018)

 

“A study of NASA scientists shows how to overcome barriers to open innovation.” Harvard Business Review.

 

Case study

Lakhani, K. Hutter, K., Pokrywa, H.S., Füller, J.

Open Innovation at Siemens. Harvard Business Publishing. 613100-PDF-ENG

 

 

Session 6: Knowledge collaboration for Innovation

- The role of knowledge in innovation

- Producing novel products, services and processes across knowledge boundaries

- Cross-functional teams and complex collaboration

 

Pre-reading

Carlile, P. (2004)

“Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge Across Boundaries” Organization Science.

 

Faraj, S., Sayegh, K., and Rouleau, L. (2018)

 “Knowledge collaboration in organizations: from information processing to social knowing.” In: Galliers, R.D. and Stein, M.K. (eds.) The Routledge companion to management information systems. London: Taylor and Francis, pp.370-386.

 

Case Study                                                                                                                             

Garvin, D. and Taahilyani, R.  (2011)

“Mindtree: A community of communities.”  Harvard Business Publishing.

 

 

 

Session 7: Digital innovation and the changing nature of work and organising

- Technology bringing about new ways of working and organizing

- Collaborating with technology

- Organizational and cultural barriers and enablers to digital innovation

 

Required reading

Faraj, S., Renno, W., & Bhardwaj, A. (2021).

“Unto the breach: What the COVID-19 pandemic exposes about digitalization.” Information and Organization, 31(1).

 

Bailey, D. E., & Barley, S. R. (2020).

"Beyond design and use: How scholars should study intelligent technologies." Information and Organization 30(2).

 

Pisano, G. (2019)

 "The Hard Truth About Innovative Cultures." Harvard Business Review.

 

Case study

Pachidi, S., Berends, H., Faraj, S., & Huysman, M. (2021).

Make way for the algorithms: Symbolic actions and change in a regime of knowing. Organization Science, 32(1), 18-41.

 

 

Session 8: Student presentations

Learning points of the session:

- Practice presentation skills

- Receive feedback on individual paper

- Practice reviewing skills

 

Preparation before the session:

Prepare the slides of your presentation (10 min) and practise.

Send your slides to the lecturer and to your reviewer in advance

Read the slides of your classmate and prepare feedback (max 5 min).

 

During the session:

You will present the main ideas of your paper to the class.

You will receive feedback from the lecturer and a classmate.

You will provide feedback to each other on how each paper can be further developed.

 

 

Further notes

REQUIRED READING

All students are required to read a number of articles (~3-4) before each session. There are three types of readings:

  • Academic journal articles. Articles in peer-reviewed academic journals focused on producing novel theoretical contributions to the field of organisational studies and information systems.
  • Practitioner articles. Based on research, these articles focus on the implications of theory for the practice of management. They often provide actionable guidance regarding salient organisational issues or problems.
  • (Teaching) Case studies are analytical narratives of real-world business problems/challenges/dilemmas facing a protagonist in an organization. They are designed to offer valuable, contextualized application of concepts and analytical tools. Learning is achieved through collective in-class discussion based on analysis, data-driven argumentation and creative exchanges. Cases provide the context for problem framing, external/internal analysis and well-argued solutions. They also allow for concepts and frameworks to be applied in order to arrive at well-reasoned recommendations.

 

Coursework

COURSEWORK

 

The 4E3 module will be assessed by the following means:

  • Written paper, individual (100% of total mark). This component of the assessment is made up of a final term paper.

 

Coursework

Format

Due date & marks

Final term paper

The individual paper assignment will include a 2,500-3,000 word paper on an agreed upon topic. Students will investigate and report on how digital technology is driving innovation and change in a particular industry or domain of the student’s choosing (e.g. digital goods in the entertainment sector, mobile applications in banking or heathcare etc.). Students are expected to apply the concepts discussed in class and where appropriate, explicitly draw on the articles provided in the module as well as other relevant articles from their own research. The written submission needs to be grounded in the appropriate literature on the topic. Please, make sure that your work is carefully referenced in accordance with the Harvard system. (http://www.blogs.jbs.cam.ac.uk/infolib/2013/10/04/advice-on-plagiarism-a...).

Learning objectives: 

  • Deepen understandings of the concepts, frameworks and/or tools on digital innovation.
  • Apply approaches and lessons learned from the class to a specific phenomenon.
  • Improve analytical and writing skills.

 

 

Individual

Report

anonymously marked

 

TBA  (via moodle)

 [60/60]

 

 

 

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 22/11/2022 14:24

Engineering Tripos Part IIB, 4E3: Business Innovation in a Digital Age, 2017-18

Module Leader

Stella Pachidi

Lecturer

Stella Pachidi

Timing and Structure

Michaelmas term. Assessment: Coursework / 1 Individual Paper 65% / 1 Individual Presentation & Review 10% / Group Case Study Analysis 25%

Aims

The aims of the course are to:

  • Get acquainted with the practices and processes of innovating in the digital era.
  • Get exposed to various impacts of digital innovations on individuals, organisations and industries.
  • Develop a critical thinking about the role of technology in social and organisational change more generally.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand different aspects of business innovation, including product innovation, process innovation and business model innovation
  • understand the distinctive character of digital technologies as integral enablers of digital innovation
  • get acquainted with the organisational aspects of digital innovation
  • understand digital platform thinking
  • explore how organizations create ecosystems to innovate
  • get to know the possible advantages and challenges of analytics and big data
  • critically reflect on how data-based practices influence decision making and power relations
  • understand how digital technologies allow for the emergence of new practices
  • analyse how digital innovation relates to industry transformation
  • think critically about the organisational and societal changes triggered by the emergence of new technologies
  • understand how IT helps organisations improve their internal operations and achieve competitive advantage
  • analyse how organisational members appropriate new technologies introduced in the workplace
  • critically assess how digital technologies afford new ways of organising and change the nature of work
  • understand how open innovation can help organizations enhance their innovative capabilities

Content

The aim of this course is twofold: First, students will get acquainted with the practices and processes of innovating in the digital era. Second, students will be exposed to various impacts of digital innovations on individuals, organisations and industries, and will develop a critical thinking about the role of technology in social and organisational change more generally.

 

The course examines how firms are adopting a plethora of images for innovation in order to effectively compete globally in a digital age. Innovation is recognised as a multi-dimensional concept which must be strategically managed in the firm. Process innovation remains important and is increasingly enabled by knowledge and service design. Furthermore, firms must be creative in developing a more holistic view of business model innovation if they hope to achieve some level of sustainable competitive advantage. In so doing, firms are adopting new strategies and are increasingly looking at different forms of collaboration and partnering across the globe. They need to develop strategies for leveraging university-industry partnerships particularly where emerging industries are developing. Firms should also develop an open approach to innovation in both opening up their innovations for collaborative exploitation by partners, as well as developing competence and capabilities in building and leveraging an ecosystem for innovation. Finally, firms are increasingly seeking to innovate in new markets in the most unlikely of places, such as at the ‘bottom of the pyramid’. These approaches to innovation require a shift in mindset, significant experimentation and the formation of new local-global collaborative partnerships for innovation. 

 

LECTURE SYLLABUS

 

Session 1: Wednesday 11 October, 15:00-17:00

·       Introduction to Innovation in a Digital Age

·       Structure: lecture and class discussion

 

Session 2: Wednesday 18 October, 15:00-17:00

·       Digital Innovation: Platforms and Ecosystems

·       Structure: lecture and class discussion

 

Session 3: Wednesday 25 October, 15:00-17:00

·       Data and Information in the Digital Age

·       Structure: lecture, group presentation and class discussion

 

Session 4: Wednesday 1 November, 15:00-17:00

·       Business model innovation and industry transformation

·       Structure: lecture, group presentation and class discussion

 

Session 5: Wednesday 8 November, 15:00-17:00

·       Knowledge and Innovation

·       Structure: lecture, group presentation and class discussion

 

Session 6: Wednesday 15 November, 15:00-17:00

·       Digital Innovation and the changing nature of work and organising

·       Structure: lecture, group presentation and class discussion

 

Session 7: Wednesday 22 November, 15:00-17:00

·       Digital transformations and open innovation

·       Structure: guest lecture, group presentation and class discussion

 

Session 8: Wednesday 29 November, 15:00-17:00

·       Student presentations

 

·       Structure: Each individual presentation will be followed by a short discussion in the class. 

Session 1: Introduction to Innovation in a Digital Age

Session 1: Introduction to Innovation in a Digital Age

 

Learning points of the session:

 

- Introduction to different types of business innovation

- Disruptive innovation

- Discuss the shifting role of digital technology

- How digital technologies change the way companies innovate

- Get to know Business Information Systems

- Get a grip of how digital technologies change social and organisational life

 

Mandatory reading material and preparation before the session

 

Background reading

Garud, R., Tuertscher, P., & Van de Ven, A. H. (2013).

Perspectives on innovation processes. The Academy of Management Annals, 7(1), 775-819.

E-article via Taylor & Francis online

Lucas Jr, H. C. et al. (2013)

“Impactful Research on Transformational Information Technology: An Opportunity to Inform New Audiences.” MIS Quarterly, 37(2): pp. 371-382

E-article via Business Source Complete

 

Reading after the lecture (optional)

 

Christensen, C. M., Raynor, M. and McDonald, R. (2015)

“What is Disruptive Innovation?” Harvard Business Review, 93(12): pp. 44-53

 

E-article via Business Source Complete

Wang, P. (2010)

“Chasing the Hottest IT: Effects of Information Technology Fashion on Organizations.” MIS Quarterly, 34(1): pp. 63-85

E-article via Business Source Complete

Drucker, P. F. (1998)

“The Discipline of Innovation.” Harvard Business Review, 76(6): pp. 149-157

E-article via Business Source Complete

Iansiti, M. and Lakhani, K. R. (2014)

“Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business.” Harvard Business Review, 92(11): pp. 90-99

E-article via Business Source Complete

 

 

 

 

Session 2: Digital Innovation: Platforms and Ecosystems

Session 2: Digital Innovation: Platforms and Ecosystems

 

Learning points of the session:

 

-What is digital innovation?

-The architecture of digital innovation

-Generativity and digital platforms

-Innovating in ecosystems

 

Mandatory reading material and preparation before the session

 

Background reading

Yoo, Y., Henfridsson, O. and Lyytinen, K. (2010)

“Research Commentary - The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research.” Information Systems Research, 21(4): pp. 724-735

E-article via Business Source Complete

Yoo, Y. et al. (2012)

“Organizing for Innovation in the Digitized World.” Organization Science, 23(5): pp. 1398-1408

E-article via Informs

 

 

Reading after the lecture (optional)

 

Ghazawneh, A. and Henfridsson, O. (2013)

“Balancing Platform Control and External Contribution in Third-Party Development: The Boundary Resources Model.” Information Systems Journal, 23(2): pp. 173-192

E-article via Business Source Complete

Weill, P. and Woerner, S. L. (2015)

“Thriving in an Increasingly Digital Ecosystem.” MIT Sloan Management Review, 56(4): pp. 27-34

E-article via ABI Inform Complete

Evans, D. S., Hagiu, A. and Schmalensee, R. (2006)

Invisible Engines: How Software Platforms Drive Innovation and Transform Industries. Cambridge, MA: MIT Press

E-book via MIT Press

 

Printed book at: QA76.76.A63 E92 2006

Henfridsson, O., Mathiassen, L. and Svahn, F. (2014)

“Managing Technological Change in the Digital Age: The Role of Architectural Frames.” Journal of Information Technology, 29(1): pp. 27-43

E-article via ABI Inform Complete

 

 

 

Session 3: Data and Information in the Digital Age

Session 3: Data and Information in the Digital Age

 

Learning points of the session:

 

- The power of data - enhancing business intelligence using IS

- Gaining competitive advantage with big data

- Ethical issues of data-based ways of working

- IT and organisational issues: decision making, power and control

 

Mandatory reading material and preparation before the session

 

Background reading

Pachidi, S., & Huysman, M. (2017)

 “Organizational intelligence in the digital age”. In (Galliers, R., & Stein, M.-K.) The Routledge Companion to Management Information Systems. Forthcoming

 

Case study

Applegate, L. M. et al. (2012)

Bonnier: Digitalizing the Media Business. Harvard Business School, 9-813-073

VLE

 

 

Reading after the lecture (optional)

 

Newell, S. and Marabelli, M. (2015)

“Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification’.” The Journal of Strategic Information Systems, 24(1): pp. 3-14

E-article via ScienceDirect

Valacich, J. and Schneider, C. (2015)

Information Systems Today: Managing in the Digital World. 7th ed. Boston: Pearson

Ch. 6 ‘Enhancing Business Intelligence using Information Systems’

Printed book at: T58.5.V34 2016

LaValle, S. et al. (2011)

“Big Data, Analytics and the Path from Insights to Value.” MIT Sloan Management Review, 52(2): pp. 21-32

E-article via ABI Inform Complete

Zuboff, S. (2015)

“Big Other: Surveillance Capitalism and the Prospects of an Information Civilization.” Journal of Information Technology, 30(1): pp. 75-89

E-article via Palgrave

 

 

Session 4: Business model innovation and industry transformation

Session 4: Business model innovation and industry transformation

 

Learning points of the session:

 

- Business model innovation

- Emergence of new practices and impact for the industry

- Understand the relationship of digital innovation and industry transformation

 

Mandatory reading material and preparation before the session

 

Background reading

Teece, D. J. (2010)

“Business Models, Business Strategy and Innovation.” Long Range Planning, 43(2-3): pp. 172-194

E-article via ScienceDirect

Case study

Thompson, M. (2015)

NHS Jobs: Using digital platforms to transform recruitment across the English & Welsh National Health Service

Case 315-268-1

VLE

 

Reading after the lecture (optional)

 

 

 

 

Amit, R. and Zott, C. (2012)

“Creating Value Through Business Model Innovation.” MIT Sloan Management Review, 53(3): pp. 41-49

E-article via ABI Inform Complete

Orlikowski, W. J. and Scott, S. V. (2013)

“What Happens When Evaluation Goes Online? Exploring Apparatuses of Valuation in the Travel Sector.” Organization Science, 25(3): pp. 868-891

E-article via Informs

Barrett, M. et al. (2015)

“Service Innovation in the Digital Age: Key Contributions and Future Directions.” MIS Quarterly, 39(1): pp. 135-154

E-article via Business Source Complete

 

 

 

 

Session 5: Knowledge and Innovation

Session 5: Knowledge and Innovation

 

Learning points of the session:

 

- Knowledge and organisation

- Cross-functional teams and complex collaboration

- Collaboration and innovation across organisational boundaries

 

 

Mandatory reading material and preparation before the session

 

Background reading

Carlile, P. (2004)

Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge Across Boundaries

E-article via JSTOR

Case study

Barrett, M., Kim, H.S.A.. & Prince, K.

M-PESA Power : Leveraging Service Innovation in Emerging Economies

911-007-1

VLE

 

 

Reading after the lecture (optional)

 

Brown, J. S. and Duguid, P. (2001)

“Knowledge and Organization: A Social-Practice Perspective.” Organization Science, 12(2): pp. 198-213

E-article via Business Source Complete

Seely Brown, J. and Duguid. P. (2000)

The Social Life of Information. Boston: Harvard Business School Press

Ch. 3

Printed book at: HM851.B76

Dougherty, D. and Dunne, D. D. (2012)

“Digital Science and Knowledge Boundaries in Complex Innovation.” Organization Science, 23(5): pp.1467-1484

E-article via Informs

Lee, J. and Berente, N. (2012)

“Digital Innovation and the Division of Innovative Labor: Digital Controls in the Automotive Industry.” Organization Science, 23(5): pp. 1428-1447

E-article via Informs

Catmull, E. (2008)

“How Pixar Fosters Collective Creativity.” Harvard Business Review, 86(9): pp. 64-72

E-article via Business Source Complete

 

 

 

Session 6: Digital Innovation and the changing nature of work and organising

Session 6: Digital Innovation and the changing nature of work and organising

 

Learning points of the session:

 

- IT in the workplace

- New ways of organizing

- Collaborating with IT

- Mobility and teleworking

- Virtual work

 

Mandatory reading material and preparation before the session

 

Background reading

Zammuto, R. F. et al. (2007)

“Information Technology and the Changing
Fabric of Organization.” Organization Science, 18(5): pp. 749-762

E-article via Business Source Complete

 

 

 

Case study

Pachidi, S. (2017)

“Introducing data analytics in TelCo Sales Medium”

 

VLE

 

Reading after the lecture (optional)

 

Bailey, D. E., Leonardi, P. M. and Barley, S. R. (2012)

“The Lure of the Virtual.” Organization Science, 23(5): pp. 1485-1504

 

E-article via Informs

Orlikowski, W. (1992)

Learning From Notes: Organizational Issues in Groupware Implementation. Sloan School of Business, MIT

E-paper via MIT

Boudreau, M-C. and Robey, D. (2005)

“Enacting Integrated Information Technology: A Human Agency Perspective.” Organization Science, 16(1): pp. 3-18

E-article via Business Source Complete

Malhotra, A., Majchrzak, A., Carman, R., & Lott, V. (2001).

Radical innovation without collocation: A case study at Boeing-Rocketdyne. MIS Quarterly,25(2): pp. 229-249.

E-article via JSTOR

Barley, S. R., Meyerson, D. E. and Grodal, S. (2011)

“E-mail as a Source and Symbol of Stress.” Organization Science, 22(4): pp. 887-906

E-article via Informs

 

Session 7: Digital Business Transformation and Open Innovation: Guest Lecture

Session 7: Digital Business Transformation and Open Innovation: Guest Lecture

 

Learning points of the session:

 

- Understand how digital technologies can support business processes

- How digital technologies can help gain competitive advantage

- The relationship between digital technologies and organisational change

- Transforming organisations with digital technologies: Resistance and workarounds

 

 

Mandatory reading material and preparation before the session

 

Background reading

Garud, R., Kumaraswamy, A., & Sambamurthy, V. (2006)

Emergent by design: Performance and transformation at Infosys Technologies. Organization Science, 17(2), 277-286.

E-article via JSTOR

Boudreau, K. J., & Lakhani, K. R. (2013).

Using the Crowd as an Innovation Partner. Harvard Business Review, 91(4), 60-69.

E-article via Business Source Complete

Case study

Lakhani, K. Hutter, K., Pokrywa, H.S., Füller, J.

Open Innovation at Siemens.

9-613-100

VLE

 

 

 

 

Reading after the lecture (optional)

 

Van Alstyne, M. W., Parker, G. G., & Choudary, S. P. (2016).

Pipelines, Platforms, and the New Rules of Strategy. Harvard Business Review, 94(4)

E-article via Business Source Complete

Afuah, A., & Tucci, C. L. (2012).

CROWDSOURCING AS A SOLUTION TO DISTANT SEARCH. Academy of Management Review, 37(3), 355-375

E-article via Business Source Complete

Hargadon A and Sutton RI. (1997).

Technology brokering and innovation in a product development firm. Administrative Science Quarterly 42: 716-749.

E-article via ABI Inform Complete

Jeppesen, L. B. and K. R. Lakhani (2010).

"Marginality and Problem-Solving Effectiveness in Broadcast Search." Organization Science 21(5): 1016-1033.

E-article via JSTOR

 

 

Session 8 : Student Presentations

Session 8: Student Presentations

 

Learning points of the session:

 

Practise presentation skills

Receive feedback on individual paper

Practise reviewing skills

 

Preparation before the session

 

Prepare the slides of your presentation (5min) and practise. Send your slides with notes below each slide to the lecturer by 10:00am on Monday 27 November.

Further notes

REQUIRED READING

All students are required to read a number of papers before each session. These can be found in the course outline. There are four types of reading material:

·       Background reading material is necessary for the students to follow the lecture and must be read in advance.

·       Case studies are reports from studies on real cases performed and reported by scholars. All students are expected to have read the case studies in advance, in order to participate in class discussion.

·       Optional reading material can be read after each session and is expected to help the students in understanding the topic further, as well as in preparing their individual papers.

 

Coursework

The 4E3 module will be assessed by the following means:

  • Written paper, individual (60% of total mark). This component of the assessment is made up of a final term paper.
  • Presentation, individual (10% of total mark). Presentation based on your individual paper and peer review.
  • Case study presentation and discussion, team (25% of total mark). Presenting a case study (20%) and discussing another team’s presentation (5%) during one of the sessions 3-7.

 

Coursework

Format

Due date & marks

Final term paper

The individual paper assignment will include a 3,000-word paper on an agreed topic. Students will investigate and report on the effects of digital innovation in transforming a particular industry (e.g. digital goods in the entertainment sector, mobile applications in banking, etc.). Students are expected to apply the concepts discussed in the lectures. It is expected that students will, where appropriate, explicitly draw on the articles provided in the course as well as other relevant articles from their own research. The written work you submit for assessment needs to be grounded in the appropriate scholarly literature. Please, make sure that your work is carefully referenced in accordance with the Harvard system. (http://www.blogs.jbs.cam.ac.uk/infolib/2013/10/04/advice-on-plagiarism-a...) More information is provided in a separate document and will be presented in the first session.

Learning objective: 

  • Reach a deeper understanding of the concepts and theories discussed in the class.
  • Learn how to apply the theories and lessons learned from the class on an in-depth analysis of a specific phenomenon.
  • Develop further analytical and writing skills.

Individual

Report

anonymously marked

 

Wednesday 13 December 16:00 (via moodle)

 [65/100]

 

Presentation

During the final lecture session, each student will give a short presentation of the main arguments of his/her individual paper, in order to receive feedback from the lecturer and classmates. This presentation should be approximately 5 mins long with an additional 5 mins for questions. More information will be provided during the course.

Learning objective: 

  • Learn about digital transformations in various industries from your classmates’ presentations.
  • Receive feedback on your paper.
  • Practice presentation skills.

Individual Presentation

[non] anonymously marked

 

Submit slides by Monday 27 November at 10:00. Present during the session on Wednesday 29 November.

[10/100]

 

Group case analysis

Course participants will be assigned into groups once the overall class size has been finalised. Each student group will be assigned a case study which they will be required to read and think about prior to the class, and present their viewpoints and analysis to the class in sessions 3-7. Each member of the team must present to be eligible for grading. Only exceptions include exceptional circumstances such as illness covered by a doctor’s certificate.

Case study presentations should be 10-mins long and will be followed  by a 5-minutes critique by the response group. Each presenting group should send the lecturer (s.pachidi@jbs.cam.ac.uk) and the response group a copy of their case presentation (with notes below each slide) the day before their in-class presentation.

Learning objective: 

  • Apply the theories learned to a real case.
  • Develop analytical skills.
  • Practice presentation skills.

Group Presentation

[non] anonymously marked

 

Submit slides to the lecturer and discussant team by Tuesday at 09:00 in the week of your assigned group presentation. Present in the session as you have been assigned.

[20/100]

Group case discussion

Each team will also be assigned a turn to act as a ‘response’ group, leading the discussion and question time following a case presentation in sessions 3-7. This will be an assessed exercise and forms part of the class participation mark. Each member of the team should contribute to critiquing the case presentations. Once again, the only exceptions include exceptional circumstances such as illness covered by a doctor’s certificate.

Learning objective: 

  • Apply the theories learned to a real case.
  • Develop analytical and reviewing skills.
  • Practice presentation skills.

Group Presentation

[non] anonymously marked

 

Submit your review and present in the session as you have been assigned.

[5/100]

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 08/09/2017 14:39

Engineering Tripos Part IIB, 4E3: Business Innovation in a Digital Age, 2023-24

Module Leader

Karla Sayegh

Timing and Structure

Michaelmas term. Assessment: Coursework / 1 Individual Paper 100%

Aims

The aims of the course are to:

  • Analyse the approaches, challenges and trade-offs involved in developing and implementing digital innovation
  • Examine how digital technologies such as platforms, artificial intelligence (AI) and big data are transforming work and organizations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the distinctive characteristics of digital technologies
  • explain how digital platforms have changed strategic thinking, firm economics and business models
  • analyse how different types of organizations can create, navigate and leverage ecosystems for innovation
  • explain the benefits and challenges of open innovation in established firms
  • explain the mechanisms and challenges of knowledge collaboration for innovation
  • evaluate the potential of data and algorithms in transforming knowledge work
  • understand the planned and unintended consequences of digital technologies in organizations
  • think critically about the organisational and societal challenges triggered by the emergence of new technologies

Content

Now more than ever, emerging digital technologies, such as robotics, cloud computing, quantum computing, digital platforms and sophisticated learning algorithms that exploit massive trace data, are enabling innovation in unprecedented ways. Digital innovation has not only transformed products and services but has also upended business models, ways of working, forms of organizing and the ability to access ideas and expertise. However, digitally-enabled innovation is challenging because organizations may need to shift away from the very capabilities that underpinned their past successes. In the digital era, managers and professionals need to think differently about fundamental aspects of their business such as its strategy and associated business models, marketing approaches, organizational structures and incentives, cultures and the coordination of expertise. 

In this module, you will learn about digital platforms and ecosystems, artificial intelligence (AI), open innovation and knowledge integration and how they have transformed strategy-making, decision-making, business models, collaboration, expertise, work and organizing. You will also analyse the challenges and trade-offs involved in developing, implementing and scaling digital transformation initiatives. Finally, you will apply key concepts and analytical tools to real world business problems through interactive discussions of case studies.

MODULE OUTLINE

Session 1: Introduction to innovation in a digital age

Session 2: Platforms and ecosystems – part 1

Session 3: Platforms and ecosystems – part 2

Session 4: Algorithms and work

Session 5: Open innovation

Session 6: Knowledge collaboration for innovation

Session 7: Technology and the changing nature of work

Session 8: Student presentations and peer-reviews

Please note that all sessions will be highly interactive and discussion-based. In every session, we will sense-make about real business problems via case studies both collectively and in small groups. Therefore, you are expected to come to class having prepared the assigned case study for that session.

 

MODULE OUTLINE

Session 1: Introduction to innovation in a digital age

- Understanding what innovation means

- Identifying the distinctive characteristics of digital technologies 

- Introduction to the course, what to expect and how we will work

 

Pre-reading

Garud, R., Tuertscher, P., & Van de Ven, A. H. (2013).

Perspectives on innovation processes. The Academy of Management Annals, 7(1), 775-819.

 

Yoo, Y. et al. (2012)

“Organizing for Innovation in the Digitized World.” Organization Science, 23(5): pp. 1398-1408.

 

 

Supplemental reading

Christensen, C.M  et al. (2015)

“What Is Disruptive Innovation?” Harvard Business Review. 2-11.

 

Christensen, C.M  et al. (2013)

Christensen, Clayton M. The innovator's dilemma: when new technologies cause great firms to fail. Harvard Business Review Press, 2013. Chapter 11.

 

 

Session 2: Digital innovation: Platforms and ecosystems

- The new logic of platforms: strategy, structure, business models

- How to launch and scale platforms

- Leveraging ecosystems

 

Pre-reading

Van Alstyne, M., Parker, G., and Choudhary, S. (2016)

‘Pipelines, platforms, and the new rules of strategy.” Harvard Business Review.

 

Jacobides, M. (2019)

“In the platform economy, what’s your strategy?” Harvard Business Review.

 

 

Case Study

Markovich, S., Meagher,E. (2015)

“OurCrowd: Growing a Crowdfunding Platform in a VC World.” Harvard Business Publishing.

 

 

Supplemental reading

Cusumano, M. A., Yoffie, D. B., and Gawer, A. (2020)

“The Future of Platforms.” MIT Sloan Management Review, 61(3): pp. 46-54

 

McGrath, R. and McManus, R. (2020)

“Discovery-Driven Digital Transformation:  Learning Your Way to a New Business Model” Harvard Business Review. 98(3): pp. 124-133

 

 

 

Session 3: Platforms and ecosystems (cont’d)

- How to launch a platform

- How to grow and scale a platform

- The importance of context

 

Pre-reading

Wu, A., Clough, D, and Kaletsky, S. (2019)

“Nascent Platform Strategy: Overcoming the Chicken-or-Egg Dilemma.” Harvard Business Review.

 

Hagiu, A. (2014) “Strategic decisions for multi-sided platforms.” MIT Sloan Management Review  

Zhu, F. and Iansiti, M.

“Why Some Platforms Thrive and Others Don't” Harvard Business Review

 

 

Case Study

Jelassi, T., Kordy, A., Ode, H., Podkolzine, R., and Vamala, S. (2018)

“Nestle: Developing a Digital Nutrition Platform For Japan.” Harvard Business Publishing.

 

 

 

Supplemental reading

Yoffie, D. B., Gawer, A., & Cusumano, M. A. (2019)

“A study of more than 250 platforms a reveal why most fail.” Harvard Business Review.

 

Cennamo, C. and Sekol, D (2021) “Can the EU Regulate Platforms Without Stifling Innovation?” Harvard Business Publishing.  

 

Session 4: Data and Algorithms

- Big data and business intelligence

- Ethical issues of algorithmic and data-driven ways of working

- Digital transformation with AI

 

Pre-reading

Faraj, S., Pachidi, S., & Sayegh, K. (2018)

 “Working and organizing in the age of the learning algorithm.” Information and Organization, 28(1): pp. 62-70

 

Foutaine, T., McCarthy, B.,& Saleh, T. (2019)

“Building the AI-powered Organziation: Technology isn’t the biggest challenge; Culture Is.” Harvard Business Review.

 

Case study

Greenstein, S. & Gulick, S.

“Zebra Medical Vision.” Harvard Business Publishing.

 

 

 

Supplemental reading

Lebovitz, S, Levina, N., Lifshitz-Assaf, H., (2021) 

“Is AI ground truth really true?” MISQ, 45(3): pp. 1501-1525

 

Mohlmann, M. and Henfridsson, O. (2019)

“What people hate about being managed by algorithms” Harvard Business Publishing.

 

Joshi, M., Su, N., Austin, R. (2021) "Why so many data science projects fail to deliver” MIT Sloan Management Review.  

 

Session 5: Open innovation

- What is open innovation (OI)

- How to design and execute an OI initiative – OI as digital transformation

- Challenges to open collaboration

 

Pre-reading

Boudreau, K. J., & Lakhani, K. R. (2013).

“Using the Crowd as an Innovation Partner.” Harvard Business Review,” 91(4), 60-69.

 

King, A., & Lakhani, K. R. (2013).

“Using open innovation to identify the best ideas. MIT Sloan Management Review,” 55(1), 41

 

Lifshitz-Assaf, H., Tushman, M., & Lakhani, K. R. (2018)

 

“A study of NASA scientists shows how to overcome barriers to open innovation.” Harvard Business Review.

 

Case study

Lakhani, K. Hutter, K., Pokrywa, H.S., Füller, J.

Open Innovation at Siemens. Harvard Business Publishing. 613100-PDF-ENG

 

 

Session 6: Knowledge collaboration for Innovation

- The role of knowledge in innovation

- Producing novel products, services and processes across knowledge boundaries

- Cross-functional teams and complex collaboration

 

Pre-reading

Carlile, P. (2004)

“Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge Across Boundaries” Organization Science.

 

Faraj, S., Sayegh, K., and Rouleau, L. (2018)

 “Knowledge collaboration in organizations: from information processing to social knowing.” In: Galliers, R.D. and Stein, M.K. (eds.) The Routledge companion to management information systems. London: Taylor and Francis, pp.370-386.

 

Case Study                                                                                                                             

Garvin, D. and Taahilyani, R.  (2011)

“Mindtree: A community of communities.”  Harvard Business Publishing.

 

 

 

Session 7: Digital innovation and the changing nature of work and organising

- Technology enabling new ways of working and organizing

- Collaborating with technology

- Organizational and cultural barriers and enablers to digital innovation

 

Required reading

Faraj, S., Renno, W., & Bhardwaj, A. (2021).

“Unto the breach: What the COVID-19 pandemic exposes about digitalization.” Information and Organization, 31(1).

 

Bailey, D. E., & Barley, S. R. (2020).

"Beyond design and use: How scholars should study intelligent technologies." Information and Organization 30(2).

 

Pisano, G. (2019)

 "The Hard Truth About Innovative Cultures." Harvard Business Review.

 

Case study

Pachidi, S., Berends, H., Faraj, S., & Huysman, M. (2021).

Make way for the algorithms: Symbolic actions and change in a regime of knowing. Organization Science, 32(1), 18-41.

 

 

Session 8: Student presentations

Learning points of the session:

- Practice presentation skills

- Receive feedback on individual paper

- Practice reviewing skills

 

Preparation before the session:

Prepare the slides of your presentation (10 min) and practise.

Send your slides to the lecturer and to your reviewer in advance

Read the slides of your classmate and prepare feedback (max 5 min).

 

During the session:

You will present the main ideas of your paper to the class.

You will receive feedback from the lecturer and a classmate.

You will provide feedback to each other on how each paper can be further developed.

 

 

Further notes

REQUIRED READING

All students are required to read a number of articles (~3-4) before each session. There are three types of readings:

  • Academic journal articles. Articles in peer-reviewed academic journals focused on producing novel theoretical contributions to the field of organisational studies and information systems.
  • Practitioner articles. Based on research, these articles focus on the implications of theory for the practice of management. They often provide actionable guidance regarding salient organisational issues or problems.
  • (Teaching) Case studies are analytical narratives of real-world business problems/challenges/dilemmas facing a protagonist in an organization. They are designed to offer valuable, contextualized application of concepts and analytical tools. Learning is achieved through collective in-class discussion based on analysis, data-driven argumentation and creative exchanges. Cases provide the context for problem framing, external/internal analysis and well-argued solutions. They also allow for concepts and frameworks to be applied in order to arrive at well-reasoned recommendations.

 

Coursework

COURSEWORK

 

The 4E3 module will be assessed by the following means:

  • Written paper, individual (100% of total mark). This component of the assessment is made up of a final term paper.

 

Coursework

Format

Due date & marks

Final term paper

The individual paper assignment will include a 2,500-3,000 word paper on an agreed upon topic. Students will investigate and report on how digital technology is driving innovation and change in a particular industry or domain of the student’s choosing (e.g. digital goods in the entertainment sector, mobile applications in banking or heathcare etc.). Students are expected to apply the concepts discussed in class and where appropriate, explicitly draw on the articles provided in the module as well as other relevant articles from their own research. The written submission needs to be grounded in the appropriate literature on the topic. Please, make sure that your work is carefully referenced in accordance with the Harvard system. (http://www.blogs.jbs.cam.ac.uk/infolib/2013/10/04/advice-on-plagiarism-a...).

Learning objectives: 

  • Deepen understandings of the concepts, frameworks and/or tools on digital innovation.
  • Apply approaches and lessons learned from the class to a specific phenomenon.
  • Improve analytical and writing skills.

 

 

Individual

Report

anonymously marked

 

TBA  (via moodle)

 [60/60]

 

 

 

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 13/10/2023 09:47

Engineering Tripos Part IIB, 4E3: Business Innovation in a Digital Age, 2025-26

Module Leader

Karla Sayegh

Timing and Structure

Lent term. Assessment: Coursework / 1 Individual Paper 100%

Aims

The aims of the course are to:

  • Analyse the approaches, challenges and trade-offs involved in developing and implementing digital innovation
  • Examine how digital technologies such as platforms, artificial intelligence (AI) and big data are transforming work and organizations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • Identify the key dimensions and types of business innovation
  • Evaluate how digital platforms influence strategic thinking and business models
  • Assess how organizations build, manage, and/or participate in innovation ecosystems
  • Examine the opportunities and implementation challenges of predictive and generative AI in work and organizations
  • Analyse value and barriers to open innovation and develop mechanisms to enable it within organizations
  • Evaluate knowledge collaboration processes critical for innovation
  • Assess how digital technologies reshape work practices and organizational processes
  • Interpret and evaluate the planned and unintended consequences of digital transformation
  • Critically reflect on the broader organizational and societal implications of emerging technologies

Content

 
In today’s rapidly evolving landscape, emerging digital technologies—such as robotics, cloud computing, digital platforms, and advanced predictive and generative AI—are enabling innovation in profound and unprecedented ways. These technologies are not only reshaping products and services but are fundamentally disrupting traditional business models, organizational structures, modes of collaboration, and access to talent and expertise. 
 
Yet, digitally enabled innovation presents complex challenges. Organizations may need to unlearn deeply embedded capabilities that once drove their success. They must also navigate the hype surrounding new technologies while critically assessing their broader implications for both organizations and society. In this context, innovation is no longer just about new offerings—it requires rethinking strategy, culture, organizational design, workforce development, and cross-disciplinary collaboration.
 
In this module, you will examine the strategic role of digital platforms and ecosystems, predictive and generative artificial intelligence (AI), open innovation and knowledge integration and how they have reshaped strategic thinking, work and organizing. Through real-world case studies and interactive discussions, you will analyze the trade-offs and complexities involved in initiating, implementing, and scaling digital transformation initiatives. By the end of the course, you will be equipped with conceptual frameworks and analytical tools to critically engage with digital innovation and apply them to contemporary business challenges.
 

MODULE OUTLINE

 
 
Unit 1: Introduction to innovation in a digital age
 
- What innovation means
- The transformative impact of digital technologies 
- Introduction to the course, what to expect and how we will work
 
Unit 2: Platforms and ecosystem
 
- The new logic of platforms: strategy, structure, business models 
- How to launch and scale transaction platforms
- Leveraging ecosystems
 
Unit 3: Platforms and ecosystems (cont’d)
 
- How to grow and scale an innovation platform
- Ecosystem strategies
- The importance of context
 
Unit 4: Predictive algorithms and the future of work
 
- Launching and scaling an AI business
- AI and organizations: workforce, processes and structures
- Critical evaluation
 
Unit 5: Generative algorithms and the future of work
 
- Implementing Gen AI in organizations: why and how
- Gen AI and organizations: workforce, processes and structures
- Critical evaluation
 
Unit 6: Open innovation
 
- The value of open innovation and why it works
- How to design and execute an OI initiative – OI as digital transformation
- Challenges to open collaboration
 
Unit 7: Knowledge collaboration for Innovation
 
- The role of knowledge in innovation
- Producing novel products, services and processes across knowledge boundaries
- Cross-functional teams and complex collaboration
 
Unit 8: Paper peer-review
 
- Practice presentation skills
- Receive feedback on individual paper
- Practice reviewing skills
 
Please note that all sessions will be highly interactive and discussion-based. In every session, we will sense-make about real business problems via case studies both collectively and in small groups. Therefore, you are expected to come to class having prepared the assigned case study for that session.

 

 

Further notes

REQUIRED READING

All students are required to read a number of articles (~3-4) before each session. There are three types of readings:

  • Academic journal articles. Articles in peer-reviewed academic journals focused on producing novel theoretical contributions to the field of organisational studies and information systems.
  • Practitioner articles. Based on research, these articles focus on the implications of theory for the practice of management. They often provide actionable guidance regarding salient organisational issues or problems.
  • (Teaching) Case studies are analytical narratives of real-world business problems/challenges/dilemmas facing a protagonist in an organization. They are designed to offer valuable, contextualized application of concepts and analytical tools. Learning is achieved through collective in-class discussion based on analysis, data-driven argumentation and creative exchanges. Cases provide the context for problem framing, external/internal analysis and well-argued solutions. They also allow for concepts and frameworks to be applied in order to arrive at well-reasoned recommendations.

 

Coursework

 

The 4E3 module will be assessed by the following means:

  • Written paper, individual (100% of total mark). This component of the assessment is made up of a final term paper.

 

Coursework

Format

Due date & marks

Final term paper

The individual paper assignment will include a 2,500-3,000 word paper on an agreed upon topic. Students will investigate and report on how digital technology is driving innovation and change in a particular industry or domain of the student’s choosing (e.g. digital goods in the entertainment sector, mobile applications in banking or heathcare etc.). Students are expected to apply the concepts discussed in class and where appropriate, explicitly draw on the articles provided in the module as well as other relevant articles from their own research. The written submission needs to be grounded in the appropriate literature on the topic. Please, make sure that your work is carefully referenced in accordance with the Harvard system. (http://www.blogs.jbs.cam.ac.uk/infolib/2013/10/04/advice-on-plagiarism-a...).

Learning objectives: 

  • Deepen understandings of the concepts, frameworks and/or tools on digital innovation.
  • Apply approaches and lessons learned from the class to a specific phenomenon.
  • Improve analytical and writing skills.

 

 

Individual

Report

 

 

TBA  (via moodle)

 [60/60]

 

 

 

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 07/09/2025 18:26

Engineering Tripos Part IIB, 4E3: Business Innovation in a Digital Age, 2021-22

Module Leader

Karla Sayegh

Timing and Structure

Michaelmas term. Assessment: Coursework / 1 Individual Paper 100%

Aims

The aims of the course are to:

  • Analyse the approaches, challenges and trade-offs involved in developing and implementing digital innovation
  • Examine how digital technologies such as platforms, artificial intelligence (AI) and big data are transforming work and organizations.

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the distinctive characteristics of digital technologies
  • explain how digital platforms have changed strategic thinking, firm economics and business models
  • analyse how different types of organizations can create, navigate and leverage ecosystems for innovation
  • evaluate the potential of data and algorithms in transforming knowledge work
  • explain the mechanisms and challenges of knowledge collaboration for innovation
  • explain the benefits and challenges of open innovation in established firms
  • understand the planned and unintended consequences of digital technologies in organizations
  • think critically about the organisational and societal challenges triggered by the emergence of new technologies

Content

Today, household names such as Apple, Alphabet (Google), Facebook and Amazon continue to outperform their competitors and dominate markets. A core reason: digital innovation. Now more than ever, emerging digital technologies, such as robotics, cloud computing, web-enabled platforms and sophisticated learning algorithms that exploit massive digital trace data, are enabling innovation in unprecedented ways. Digital innovation has not only transformed products and services but has also upended business models, ways of working, forms of organizing and the ability to access ideas and expertise beyond organizational boundaries. However, digitally-enabled innovation is challenging because organizations may need to shift away from the very capabilities that underpinned their past successes. In the digital era, managers and professionals need to think differently about fundamental aspects of their business such as its strategy and associated business models, marketing approaches, culture change, the coordination of expertise and organisational structure. 

In this module, you will analyse the approaches, challenges and trade-offs involved in developing and implementing digital innovation. You will also examine how digital technologies such as digital platforms, artificial intelligence (AI) and big data are transforming work and organizations. You will learn by analysing real-world problems and situations across a range of organizations and industries through case studies. Class time will be devoted primarily to applying key concepts and analytical tools via case discussions.

 

MODULE OUTLINE

Session 1: Introduction to innovation in a digital age

Session 2: Platforms and ecosystems – part 1

Session 3: Platforms and ecosystems – part 2

Session 4: Algorithms and work

Session 5: Open innovation

Session 6: Knowledge collaboration for innovation

Session 7: Technology and the changing nature of work

Session 8: Student presentations and peer-reviews

Please note that all sessions will be highly interactive and discussion-based. In every session, we will sense-make about real business problems via case studies both collectively and in small groups. Therefore, you are expected to come to class having prepared the assigned case study for that session.

 

MODULE OUTLINE

Session 1: Introduction to innovation in a digital age

- Understanding what innovation means

- Identifying the distinctive characteristics of digital technologies 

- Introduction to the course, what to expect and how we will work

 

Pre-reading

Garud, R., Tuertscher, P., & Van de Ven, A. H. (2013).

Perspectives on innovation processes. The Academy of Management Annals, 7(1), 775-819.

 

Yoo, Y. et al. (2012)

“Organizing for Innovation in the Digitized World.” Organization Science, 23(5): pp. 1398-1408.

 

 

Supplemental reading

Christensen, C.M  et al. (2015)

“What Is Disruptive Innovation?” Harvard Business Review. 2-11.

 

 

 

Christensen, C.M  et al. (2013)

Christensen, Clayton M. The innovator's dilemma: when new technologies cause great firms to fail. Harvard Business Review Press, 2013. Chapter 11.

 

 

Session 2: Digital innovation: Platforms and ecosystems

- Understanding the new logic platforms: strategy, structure, business models

- Platform strategy – how to launch a platform

- Leveraging ecosystems

 

Pre-reading

Van Alstyne, M., Parker, G., and Choudhary, S. (2016)

‘Pipelines, platforms, and the new rules of strategy.” Harvard Business Review.

 

Cusumano, M., Yofie, D., and Gawer, A. (2020)

‘The Future of Platforms’. Special Issue on Disruption 2020, MIT Sloan Management Review, Spring 2020, Vol. 61, No. 3, pp. 46-54.

 

 

Case Study

Markovich, S., Meagher,E. (2015)

“OurCrowd: Growing a Crowdfunding Platform in a VC World.” Harvard Business Publishing.

 

 

Supplemental reading

Jacobides, M. (2019)

“In the platform economy, what’s your strategy?” Harvard Business Review.

 

McGrath, R. and McManus, R. (2020)

“Discovery-driven Digital Transformation:  Learning your way to a new business model” Harvard Business Review.

 

 

Session 3: Platforms and ecosystems (cont’d)

- How to launch a platform

- How to grow and scale a platform

- The importance of context

 

Pre-reading

Wu, A., Clough, D, and Kaletsky, S. (2019)

“Nascent Platform Strategy: Overcoming the Chicken-or-Egg Dilemma.” Harvard Business Review.

 

Zhu, F. and Iansiti, M.

“Why Some Platforms Thrive and Others Don't” Harvard Business Review

 

 

Case Study

Jelassi, T., Kordy, A., Ode, H., Podkolzine, R., and Vamala, S. (2018)

“Nestle: Developing a Digital Nutrition Platform For Japan.” Harvard Business Publishing.

 

 

 

Supplemental reading

Yoffie, D. B., Gawer, A., & Cusumano, M. A. (2019)

“A study of more than 250 platforms a reveal why most fail.” Harvard Business Review.

 

 

Session 4: Data and Algorithms

- Big data and business intelligence

- Ethical issues of algorithmic and data-driven ways of working

- AI and organizations: decision making, power and control

 

Pre-reading

Faraj, S., Pachidi, S., & Sayegh, K. (2018)

 “Working and organizing in the age of the learning algorithm.” Information and Organization, 28(1): pp. 62-70

 

Foutaine, T., McCarthy, B.,& Saleh, T. (2019)

“Building the AI-powered Organziation: Technology isn’t the biggest challenge; Culture Is.” Harvard Business Review.

 

Case study

Greenstein, S. & Gulick, S.

“Zebra Medical Vision.” Harvard Business Publishing.

 

 

Session 5: Open innovation

- What is open innovation

- Crowdsourcing

- Challenges to open collaboration

 

Pre-reading

Boudreau, K. J., & Lakhani, K. R. (2013).

“Using the Crowd as an Innovation Partner.” Harvard Business Review,” 91(4), 60-69.

 

King, A., & Lakhani, K. R. (2013).

“Using open innovation to identify the best ideas. MIT Sloan Management Review,” 55(1), 41

 

Lifshitz-Assaf, H., Tushman, M., & Lakhani, K. R. (2018)

 

“A study of NASA scientists shows how to overcome barriers to open innovation.” Harvard Business Review.

 

Case study

Lakhani, K. Hutter, K., Pokrywa, H.S., Füller, J.

Open Innovation at Siemens. Harvard Business Publishing. 613100-PDF-ENG

 

 

Session 6: Knowledge collaboration for Innovation

- The role of knowledge in innovation

- Producing novel products, services and processes across knowledge boundaries

- Cross-functional teams and complex collaboration

 

Pre-reading

Carlile, P. (2004)

“Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge Across Boundaries” Organization Science.

 

Faraj, S., Sayegh, K., and Rouleau, L. (2018)

 “Knowledge collaboration in organizations: from information processing to social knowing.” In: Galliers, R.D. and Stein, M.K. (eds.) The Routledge companion to management information systems. London: Taylor and Francis, pp.370-386.

 

Case Study                                                                                                                             

Garvin, D. and Taahilyani, R.  (2011)

“Mindtree: A community of communities.”  Harvard Business Publishing.

 

 

 

Session 7: Digital innovation and the changing nature of work and organising

- Technology bringing about new ways of working and organizing

- Collaborating with technology

- Organizational and cultural barriers and enablers to digital innovation

 

Required reading

Faraj, S., Renno, W., & Bhardwaj, A. (2021).

“Unto the breach: What the COVID-19 pandemic exposes about digitalization.” Information and Organization, 31(1).

 

Bailey, D. E., & Barley, S. R. (2020).

"Beyond design and use: How scholars should study intelligent technologies." Information and Organization 30(2).

 

Pisano, G. (2019)

 "The Hard Truth About Innovative Cultures." Harvard Business Review.

 

Case study

Pachidi, S., Berends, H., Faraj, S., & Huysman, M. (2021).

Make way for the algorithms: Symbolic actions and change in a regime of knowing. Organization Science, 32(1), 18-41.

 

 

Session 8: Student presentations

Learning points of the session:

- Practice presentation skills

- Receive feedback on individual paper

- Practice reviewing skills

 

Preparation before the session:

Prepare the slides of your presentation (10 min) and practise.

Send your slides to the lecturer and to your reviewer by Monday November 30 at 500pm.

Read the slides of your classmate and prepare feedback (max 5 min).

 

During the session:

You will present the main ideas of your paper to the class.

You will receive feedback from the lecturer and a classmate.

You will provide feedback to each other on how each paper can be further developed.

 

 

Further notes

REQUIRED READING

All students are required to read a number of articles (~3-4) before each session. There are three types of readings:

  • Academic journal articles. Articles in peer-reviewed academic journals focused on producing novel theoretical contributions to the field of organisational studies and information systems.
  • Practitioner articles. Based on research, these articles focus on the implications of theory for the practice of management. They often provide actionable guidance regarding salient organisational issues or problems.
  • (Teaching) Case studies are analytical narratives of real-world business problems/challenges/dilemmas facing a protagonist in an organization. They are designed to offer valuable, contextualized application of concepts and analytical tools. Learning is achieved through collective in-class discussion based on analysis, data-driven argumentation and creative exchanges. Cases provide the context for problem framing, external/internal analysis and well-argued solutions. They also allow for concepts and frameworks to be applied in order to arrive at well-reasoned recommendations.

 

Coursework

COURSEWORK

 

The 4E3 module will be assessed by the following means:

  • Written paper, individual (100% of total mark). This component of the assessment is made up of a final term paper.

 

Coursework

Format

Due date & marks

Final term paper

The individual paper assignment will include a 2,500-3,000 word paper on an agreed upon topic. Students will investigate and report on how digital technology is driving innovation and change in a particular industry or domain of the student’s choosing (e.g. digital goods in the entertainment sector, mobile applications in banking, etc.). Students are expected to apply the concepts discussed in class and where appropriate, explicitly draw on the articles provided in the module as well as other relevant articles from their own research. The written submission needs to be grounded in the appropriate literature on the topic. Please, make sure that your work is carefully referenced in accordance with the Harvard system. (http://www.blogs.jbs.cam.ac.uk/infolib/2013/10/04/advice-on-plagiarism-a...).

Learning objectives: 

  • Deepen understandings of the concepts, frameworks and/or tools on digital innovation.
  • Apply approaches and lessons learned from the class to a specific phenomenon.
  • Improve analytical and writing skills.

 

 

Individual

Report

anonymously marked

 

TBA  (via moodle)

 [60/60]

 

 

 

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 29/09/2021 12:33

Engineering Tripos Part IIB, 4E3: Business Innovation in a Digital Age, 2020-21

Module Leader

Karla Sayegh

Timing and Structure

Michaelmas term. Assessment: Coursework / 1 Individual Paper 100%

Aims

The aims of the course are to:

  • Understand how digitally-enabled innovation emerges inside organizations and across ecosystems.
  • Analyse and assess the effects of digitally-enabled innovation on strategizing, work and organizing and the management of expertise.

Objectives

As specific objectives, by the end of the course students should be able to:

  • explain different dimensions of business innovation
  • evaluate innovation processes and practices inside organizations
  • analyse how digital technologies may enable or constrain organizational innovation
  • explain how digital platforms have changed strategy-making and firm economics
  • analyse how organizations create and/or navigate ecosystems to innovate
  • analyse how digital technologies bring about new work practices
  • understand the planned and unintended consequences of digital technologies in organizations
  • explain the barriers of knowledge collaboration
  • explain the mechanisms of knowledge collaboration needed to innovate
  • assess the cultural drivers and barriers to digital innovation
  • evaluate how digital technologies afford new ways of organising and change the nature of work
  • think critically about the organisational and societal changes triggered by the emergence of new technologies

Content

Why do some organizations outperform others and come to dominate the marketplace? Innovation is at the core of the answer. Now more than ever, emerging digital technologies, such as web-enabled platforms and sophisticated learning algorithms that exploit massive digital trace data, are driving and scaling innovation in unprecedented ways. Digitally-enabled innovation has not only transformed products and services but has also upended business models, strategic thinking, ways of working, forms of collaborating and the ability to access ideas and expertise beyond organizational boundaries. The emerging field of digital innovation takes an integrative, cross-disciplinary perspective to support general managers (rather than functional managers in areas such as R&D, production, HR, marketing and IT and so forth) in nurturing new ideas and successfully implementing them or bringing them to market. 

The aim of this course is twofold: First, students will understand how digitally-enabled innovation emerges inside organizations and across ecosystems. Second, students will analyse and assess the effects of digitally-enabled innovations on strategizing, work and organizing and the management of expertise. 

 

MODULE OUTLINE

Session 1: Tuesday 13 October, 16:00-18:00

  • Introduction to innovation in a digital age
  • Structure: interactive lecture and class discussion

Session 2: Tuesday 20 October, 16:00-18:00

  • Digital innovation: Platforms and ecosystems
  • Structure: interactive lecture, group work and class discussion

Session 3: Tuesday 27 October, 16:00-18:00

  • Business model innovation
  • Structure: interactive lecture, group work and class discussion

Session 4: Tuesday 3 November, 16:00-18:00

  • Data and algorithms
  • Structure: interactive lecture, group work and class discussion

Session 5: Tuesday 10 November, 16:00-18:00

  • Knowledge and innovation
  • Structure: interactive lecture, group work and class discussion

Session 6: Tuesday 17 November, 16:00-18:00

  • Open innovation
  • Structure: interactive lecture, group work and class discussion

Session 7: Tuesday 27 November, 16:00-18:00

  • Digital innovation and the changing nature of work and organising
  • Structure: interactive lecture, group work and class discussion

Session 8: Tuesday 1 December, 16:00-18:00

  • Student presentations
  • Structure: individual presentations and class discussion

 

Session 1: Introduction to Innovation in a Digital Age

Session 1: Introduction to innovation in a digital age

 

Learning points of the session:

- Introduction to the course, what to expect and how we will work

- The transformative impact of digital technologies

- Understanding what innovation means

 

Mandatory reading material and preparation before the session

Required reading

Garud, R., Tuertscher, P., & Van de Ven, A. H. (2013).

Perspectives on innovation processes. The Academy of Management Annals, 7(1), 775-819.

E-article via Business Source Complete

Yoo, Y. et al. (2012)

“Organizing for Innovation in the Digitized World.” Organization Science, 23(5): pp. 1398-1408

E-article via Informs

Drucker, P. F. (1998)

“The Discipline of Innovation.” Harvard Business Review, 76(6): pp. 149-157

E-article via Business Source Complete

 

Session 2: Digital Innovation: Platforms and Ecosystems

Session 2: Digital innovation: Platforms and ecosystems

 

Learning points of the session:

- Platform economics

- Platform strategies

- Innovating in ecosystems

 

Mandatory reading material and preparation before the session

equired reading

Van Alstyne, M., Parker, G., and Choudhary, S. (2016)

‘Pipelines, platforms, and the new rules of strategy.” Harvard Business Review.

E-article via Informs

Jacobides, M. G. (2019)

“In the Ecosystem Economy, What’s Your Strategy? Harvard Business Review. 97(5): pp. 128-137.

E-article via Business Source Complete

Yoffie, D. B., Gawer, A., & Cusumano, M. A. (2019)

“A study of more than 250 platforms a reveal why most fail.” Harvard Business Review.

E-article via Business Source Complete

 

Case Study

Gupta, S. (2020)

“Amazon in 2020.” Harvard Business Publishing. 514025-PDF-ENG

VLE

 

Session 3: Business Model Innovation

Session 3: Business Model Innovation

 

Learning points of the session:

- Creating new business models

- Shifting to new business models

- Emergence of new practices and impact for the industry

 

Mandatory reading material and preparation before the session

Required reading

Teece, D. J. (2010)

“Business Models, Business Strategy and Innovation.” Long Range Planning, 43(2-3): pp. 172-194

 

E-article via ScienceDirect

McGrath, R. and McManus, R. (2020)

“Discovery-driven Digital Transformation:  Learning your way to a new business model” Harvard Business Review. May-June: pp.124-133.

 

E-article via Business Source Complete

 

Case Study

Jelassi, T., Kordy, A., Ode, H., Podkolzine, R., and Vamala, S. (2018)

“Nestle: Developing a Digital Nutrition Platform For Japan.” Harvard Business Publishing.

IMD956-PDF-ENG

VLE

 

Session 4: Data and Algorithms

Session 4: Data and Algorithms

 

Learning points of the session:

- Big data and business intelligence for competitive advantage

- Ethical issues of algorithmic and data-driven ways of working

- AI and organizations: decision making, power and control

 

Mandatory reading material and preparation before the session

Required reading

 

 

 

Davenport, M. (2006)

“Competing on analytics.” Harvard Business Review.

E-article via Business Source Complete

Faraj, S., Pachidi, S., & Sayegh, K. (2018)

 “Working and organizing in the age of the learning algorithm.” Information and Organization, 28(1): pp. 62-70

 

E-article via Business Source Complete

Foutaine, T., McCarthy, B.,& Saleh, T. (2019)

“Building the AI-powered Organziation: Technology isn’t the biggest challenge; Culture Is.” Harvard Business Review.

E-article via Business Source Complete

Case study

Greenstein, S. & Gulick, S.

Zebra Medical Vision. Harvard Business Publishing. 619014-PDF-ENG

VLE

 

Session 5: Knowledge and Innovation

Session 5: Knowledge and innovation

 

Learning points of the session:

- The role of knowledge in innovation

- Producing novelty across knowledge boundaries

- Cross-functional teams and complex collaboration

 

Mandatory reading material and preparation before the session

 

Required reading

Carlile, P. (2004)

“Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge Across Boundaries” Organization Science.

E-article via JSTOR

Edmundson, A. (2012)

“Teaming on the Fly” Harvard Business Review.

E-article via Business Source Complete

Case study

Garvin, D. and Taahilyani, R.  (2011)

“Mindtree: A community of communities.”  . Harvard Business Publishing. 311049-PDF-ENG

VLE

 

Session 6: Open Innovation

Session 6: Open innovation

 

Learning points of the session:

- What is open innovation

- Crowdsourcing

- Challenges to open collaboration

 

Mandatory reading material and preparation before the session

Background reading

Boudreau, K. J., & Lakhani, K. R. (2013).

“Using the Crowd as an Innovation Partner.” Harvard Business Review,” 91(4), 60-69.

E-article via Business Source Complete

King, A., & Lakhani, K. R. (2013).

“Using open innovation to identify the best ideas. MIT Sloan Management Review,” 55(1), 41

E-article via Business Source Complete

Lifshitz-Assaf, H., Tushman, M., & Lakhani, K. R. (2018)

“A study of NASA scientists shows how to overcome barriers to open innovation.” Harvard Business Review.

E-article via Business Source Complete

Case study

Lakhani, K. Hutter, K., Pokrywa, H.S., Füller, J.

Open Innovation at Siemens. Harvard Business Publishing. 613100-PDF-ENG

VLE

 

Session 7: Open innovation

 

Session 7: Digital Innovation and the Changing Nature of Work and Organising

 

Learning points of the session:

- Technology bringing about new ways of working and organizing

- Collaborating with technology

- Organizational and cultural barriers and enablers to digital innovation

 

Mandatory reading material and preparation before the session

Required reading

Zammuto, R. F. et al. (2007)

“Information Technology and the Changing
Fabric of Organization.” Organization Science, 18(5): pp. 749-762

E-article via Business Source Complete

Anthony, S. D., Cobban, P., Nair, R., & Painchaud, N. (2019).

“Breaking down the barriers to Innovation.” Harvard Business Review97(6). 11 pages.

 

Pisano, G. (2019)

 "The Hard Truth About Innovative Cultures." Harvard Business Review.

 

Case study

Pachidi, S. (2017)

“Introducing data analytics in TelCo Sales Medium”

 

VLE

 

Session 8: Student Presentations

Session 8: Student Presentations

 

Learning points of the session:

- Practise presentation skills

- Receive feedback on individual paper

- Practise reviewing skills

 

Preparation before the session:

Prepare the slides of your presentation (10 min) and practise.

Send your slides to the lecturer and to your reviewer by Monday, November 30 at 500pm.

Read the slides of your classmate and prepare feedback (max 5 min).

 

During the session:

You will present the main ideas of your paper to the class.

You will receive feedback from the lecturer and a classmate.

You will provide feedback to each other on how each paper can be further developed.

Further notes

REQUIRED READING

All students are required to read a number of papers (3-4) before each session. There are three types of readings

  • Academic journal articles. Articles in peer-reviewed academic journals focused on producing novel theoretical contributions to the field of organisational studies and information systems.
  • Practitioner articles. Based in research, these articles focus on the implications of theory to the practice of management. They often provide actionable guidance regarding salient organisational issues or problems.
  • (Teaching) Case studies are analytical narratives of real-world business problems/challenges/dilemmas facing a protagonist in an organization. They are designed to generate discussions that offer valuable learnings and concepts through collective analysis, data-driven argumentation and creative exchanges. Cases provide the context for problem framing, external/internal analysis and well-argued solutions. They provide a 'real-world' opportunity to  apply concepts and frameworks in order to arrive at well-reasoned recommendations.

Coursework

COURSEWORK

 

The 4E3 module will be assessed by the following means:

  • Written paper, individual (100% of total mark). This component of the assessment is made up of a final term paper.

 

Coursework

Format

Due date & marks

Final term paper

The individual paper assignment will include a 2,500-3,000 word paper on an agreed topic. Students will investigate and report on the effects of digital innovation in transforming a particular industry (e.g. digital goods in the entertainment sector, mobile applications in banking, etc.). Students are expected to apply the concepts discussed in the lectures. It is expected that students will, where appropriate, explicitly draw on the articles provided in the course as well as other relevant articles from their own research. The written work you submit for assessment needs to be grounded in the appropriate scholarly literature. Please, make sure that your work is carefully referenced in accordance with the Harvard system. (http://www.blogs.jbs.cam.ac.uk/infolib/2013/10/04/advice-on-plagiarism-a...) More information is provided in a separate document and will be presented in the first session.

Learning objective: 

  • Deepen understandings of the concepts, frameworks and tools covered in the class.
  • Apply approaches and lessons learned from the class to a specific phenomenon.
  • Improve analytical and writing skills.

 

Individual

Report

anonymously marked

 

Tuesday, 8 December 16:00 (via moodle)

 [60/60]

 

 

 

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 16/09/2020 22:04

Engineering Tripos Part IIB, 4D17: Plate & Shell Structures, 2025-26

Leader

Professor K A Seffen

Timing and Structure

Lent term. 14 lectures. Assessment: 100% Exam

Objectives

As specific objectives, by the end of the course students should be able to:

  • understand the kinematical properties of curved surfaces;
  • understand the load-carrying mechanisms for plates and shell structures;
  • formulate the governing equations of deformation for small displacement behaviour;
  • identify the benefits and limitations associated with closed-form solutions;
  • appreciate the difference between stretching and bending effects in shells;
  • appreciate the effects of geometrical non-linearity;
  • be aware of the current state-of-the art in advanced shells;
  • understand the nature of stability, instability and multistability in shells, and their practical exploitation.

Content

This module introduces the mechanics of plates and shells: thin-walled elastic surfaces that are important components of many structures and engineering devices. Key kinematical concepts are introduced for describing the initial and deformed shape of surface, either to make the description more succinct, or to reveal essential/invariant properties: these include the familiar Mohr’s circle, surfaces of revolution, and the Gaussian curvature. The relationship between internal strains and external shape is revealed for conventional smooth elastic shells. The manufacture of traditional engineering shells is reviewed, and their constitutive response is formulated: more “advanced” shell materials are introduced, including smart materials. The imperatives of equilibrium, compatibility and Hooke’s law are presented for deriving the final governing equations of deformation for circular and rectangular plates undergoing small displacements—a fraction of the thickness of shell. The distinction between bending and stretching responses of the shell is tackled through the membrane hypothesis and extended, first, to axisymmetrical pipe problems, and then to panel buckling under end-wise compression, which introduces geometrically non-linear behaviour. This is extended in cases of more compliant shells where displacements are expected to be much larger—of the order of the thickness, requiring more elaborate analysis techniques for tractable solutions: two approaches are presented, including an introduction of inextensibility theory. Finally, the behaviour and analysis of multistable shells are introduced: these show dramatic shape-changing properties, which may be exploited in novel “morphing” structures.

Geometry and kinematics of surfaces (4L)

  • Properties of curves and surfaces: curvature and twist.
  • Mohr’s circle of curvature and twist.
  • Kinematics of surfaces of revolution and circular plates.
  • Gaussian curvature: extrinsic and intrinsic viewpoints, principal radii of curvature.
  • Inextensibility of creased sheets: simple surface strain, Gauss’ Theorema Egregium.
  • Mixed/hierarchical kinematics: corrugated and compliant shells.

Materials (2L)

  • Traditional engineering materials: metals, composites and natural materials, methods of manufacture, applications.
  • Constitutive laws: bending and stretching generalised Hooke’s laws, thermal effects.
  • Bending and stretching strain energy densities.
  • Advanced engineering materials: review of smart/actuating materials, applications.
  • Natural shells: growth and bio-mimicry, constitutive laws.

Loading of shells: small displacement theories (3L)

  • Bending of circular and rectangular plates: imperatives of equilibrium, Hooke’s Law, and compatibility.
  • Surfaces of revolution: membrane hypothesis and bending-stretching interaction in pipes.
  • Two-surface idealisation and panel buckling.

Loading of shells: large displacement theories (3L)

  • Non-linear methods: solutions by inspection and substitution; the lenticular plate.
  • Inextensibility Theory.

Unloaded shells: multistability (2L)

  • Applications.
  • Analytical modelling: effects of material constitution, pre-stress, actuation and shape.

Booklists

Please see the Booklist for Group D Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 11/06/2025 17:44

Engineering Tripos Part IIB, 4D15: Sustainable Water Engineering, 2020-21

Leader

Prof R Fenner

Lecturer

Prof R Fenner

Lab Leader

Prof R Fenner

Timing and Structure

Lent term. 16 lectures ( Eight 2 hour sessions) + coursework. Assessment: 100% coursework.

Aims

The aims of the course are to:

  • Recognise the unsustanable feature of current water engineering practice
  • Appreciate the key features of managing the water cycle in a sustainable manner and the need to meet a variety of resilience criteria.
  • Be aware of recent practices and developments in managing all aspects of the water cycle in both developed and developing countries

Objectives

As specific objectives, by the end of the course students should be able to:

  • Understand the limitations of conventional /traditional water supply and wastewater engineering systems in a sustainability context.
  • Appreciate the key features of managing the water cycle in a sustainable manner and the need to meet a variety of resilience criteria.
  • Recognise and critically assess the problems and solutions associated with managing water engineering projects.
  • Be familiar with key aspects of drainage and wastewater management planning including the merits of Natural Flood Management (NFM) , Sustainable Drainage Systems (SuDS) and strategies for asset selection based on adaptation planning techniques.
  • Be aware of the asset management of water infrastructure and how this is influenced by serviceability and levels of service criteria.
  • Recognise global issues in relation to the equitable management, distribution and disposal of water under growing environmental, social and political constraints.
  • Relect appropriate forms of water supply and sanitation for use in developing countries.

Content

The module will introduce and explore the   delivery of water services for water supply, wastewater treatment and flood control, identifying  unsustainable  aspects of current practice and reviewing  more resilient approaches.  The changing paradigms of water management towards fully water sensitive cities will be explained to understand how water fits within a wider urban metabolism.  The module will describe management strategies for water in both the urban environment and water in the rural environment, through adopting a flexible adaptation planning approach which avoids technical lock-in.  The interdependencies between water and other critical resources will be identified with respect to energy use and  recovery of nutrients;  the carbon budgets associated with the water sector will be assessed. Current progress towards achieving Sustainable Development Goal 6 (Water) will be discussed and the key constraints of delivering essential water services in the developing world will be highlighted

Characteristics and components of water systems (overview)

Potable water treatment and supply.  Wastewater collection and treatment.  Urban drainage and flood control. Changing paradigms of water management .  Unsustainable features of current water management.  Water as a hazard and an opportunity

Sustainable water engineering and resilience frameworks

5 themes for sustainable  water management ( less water consumed; local waste  treatment  and recycling, stormwater retained, climate resilient, minimum energy  footprint). System properties and levels of service considerations.   Engineering vs ecological resilience; technical vs management resilience.   Avoiding technical lock-in to large infrastructure solutions. The Safe and SuRe approach; anti-fragile  planning of water systems;  (threat based, mitigation focussed top down water management vs  consequence based, coping focussed bottom up management strategies) 

Water quality issues and resource recovery

Water quality parameters and regulatory requirements; water quality prediction and control;  simple river quality models.  Engineered systems for resource recovery and re-use

Water in the urban system

Urban water metabolisms; integrated operation of water systems (e.g.  rainwater harvesting) ; real time control. Pressure and leakage  management in Water Distribution systems. Urban Drainage Systems- purpose, types and historical development.  Rainfall and surface runoff. Urban Pollution Management of intermittent discharges at Combined Sewer Overflows.  Principles of Urban Flood Risk Management. Source control of stormwater and Design of Sustainable Drainage Systems (SuDS Manual)

Flood Risk Management using Adaptation Planning and Adaptive pathways

Concepts of Adaptive Planning ( e.g.  Thames barrier example). Methodological steps for developing adaptation pathways ( London Borough of Sutton Case Study) and appraisal  of multiple benefits in Blue Green Cities. Evaluating Blue-Green infrastructure using the  CIRIA B£St tool. Preparing Drainage and Wastewater Management Plans

Water in the rural system

Management of water resources, impacts of climate variability, catchment management. Principles of Natural Flood Management (NFM) and Integrated Catchment management (ICM);  international experience and practice.  Environmental benefits of land management, Upstream Thinking.

Role of water in water-energy-food/land nexus

Hydro-meteorological risks to critical infrastructure (including energy systems); water and energy interdependencies; groundwater implications of shale gas extraction;  strategies for a low carbon water industry, UKWIR framework for carbon accounting; energy from water (micro hydro, thermal heat recovery, anaerobic digestion of biomass etc), water for energy in a low carbon energy future; issues around water and food security.

Water in the developing world

Progress towards Sustainable Development Goal 6; global level of access to water services. Water related diseases.  Key features of Water Sanitation and Hygiene (WASH) programmes. Systems thinking in WASH.  Small community water supply systems. Low cost wastewater  treatment  (waste stabilisation ponds). On and off site sanitation including dry sanitation.

Coursework

Coursework Format

Due date

& marks

Coursework 1: Individual Research Report on a key water related topic

An open ended  investigation in further detail of one aspect of water engineering practice

Learning objective:

  • To  develop the ability to seek new information and achieve a balanced critique of the existing literature through individual research of relevant details/topics NOT covered in the lecture programme
Individual Report
 anonymously marked

day during term, ex:

Thu week 4

[30/60]

Coursework 2: Resilience assessment of one aspect of water engineering practice

A critique of  one aspect of  current water engineering practice (e.g supply, wastewater dispsoal, drainage, development) against resilience criteria and propose key areas for change

Learning objective:

  • To apply a resilience and sustainable mindset to the delivery of water services

Individual Report

anonymously marked

  Wed week 9

[30/60]

 

Booklists

 

1.      Ainger C., Fenner R.A. (2016)   Sustainable  Water   ICE Publishing   ISBN 978-0-7277-5773-9

 

2.      Radhakrishnan M., Lowe R., Ashley R.M., Gersonius  B., Arnbkerg-Nielsen K., Pathirana A., Zevenbergen C (2019) Flexible adaptation planning process for urban adaptation in Melbourne, Australia Proceedings of Institution of Civil Engineers – Engineering Sustainability Volume 172 Issue 7 September 2019 pp 393-403

 

3.      Ashley R.M. Gersonius B., Horton B (2020) Managing flooding - From a problem to an opportunity . Royal Society Philosophical  Transactions A  Volume 378 Issue 2168 Paper 0214 

 

4.      David Butler, Sarah Ward, Chris Sweetapple, Maryam Astaraie-Imani, Kegong Diao,Raziyeh Farmani & Guangtao Fu   (2016) Reliable, resilient and sustainable water management: the Safe & SuRe approach  Global Challenges 2016 (John Wiley)  

 

5.      Kate Neely (ed) (2019) Systems thinking in WASH  Practical Action Publishing ISBN-078-1-78853-026-2

 

6.      Butler D., Digman C., Makropoulos C., Davies J.W. ( 2018) Urban Drainage 4th edition.  CRC Press ISBN 978-1-4987-5058-5

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

 
Last modified: 02/10/2020 10:27

Engineering Tripos Part IIB, 4D15: Water management under climate change, 2025-26

Leader

Dr E Borgomeo

Lecturer

Dr E Borgomeo

Timing and Structure

Lent term. 16 lectures ( Eight 2 hour sessions) + coursework. Assessment: 100% coursework.

Aims

The aims of the course are to:

  • Recognise the unsustainable feature of current water engineering practice
  • Understand the impacts of climate change on water resources, and approaches to adapt
  • The ability to evaluate recent practices and developments in managing all aspects of the water cycle, with an emphasis on developing countries

Objectives

As specific objectives, by the end of the course students should be able to:

  • Understand the limitations of conventional /traditional water supply and wastewater engineering systems in a sustainability context.
  • Appreciate the key features of managing the water cycle in a sustainable manner and the need to meet a variety of resilience criteria.
  • Recognise and critically assess the problems and solutions associated with managing water engineering projects in developing countries
  • Be familiar with key aspects of water management in an international development context
  • Recognise global issues in relation to the equitable management, distribution and disposal of water under growing environmental, social and political constraints.

Content

Leonardo Da Vinci remarked that ‘Water … is the cause of life or death, of increase or privation, nourishes at times and at others does the contrary …’. Today, water is at the centre of the sustainable development and climate action agendas. The most serious and high-profile impacts of climate change are being felt through water: floods, droughts, melting of ice and reduced snow cover, amongst others. Water is also a major sustainable development challenge: worldwide, 844 million people lack access to drinking water, and 2.3 billion do not have access to latrines or other basic sanitation facilities, mostly in low- and middle-income countries. High-income countries are also faced with water-related policy and engineering dilemmas. In the UK, the water sector is facing a major governance and investment crisis, and in the US, millions of people are drinking potentially unsafe tap water.

The module explores established and emerging practices for managing water under climate change. The module introduces key water issues around the world, including access to water supply and sanitation, flood and drought risk management, irrigation water service provision, and freshwater ecosystem degradation. Established and emerging engineering and policy practices for addressing these issues under climate change will be reviewed, including risk-based water resources planning, water allocation reform, and nature-based solutions. The interdependencies between water and other critical resources and sectors will be explored, with respect to greenhouse gas emissions, energy use, and food security. The module features discussions of present-day applications, with a focus on case studies from Africa, Asia, and Latin America and guest speakers from industry and policy.

 

Why Plan and Manage Water?

Climate change expresses itself through water. Nine out of ten ‘natural’ disasters are water-related. Water-related climate risks cascade through food, energy, urban and environmental systems. If we are to achieve climate and development goals, water must be at the core of adaptation strategies and development policy. This lecture describes some of the challenges and opportunities related to water, with examples from around the world. Problems of water management include too much, too little, too polluted, or too expensive water. The lecture also provides an overview of global progress towards Sustainable Development Goals 6 on ensuring availability and sustainable management of water and sanitation for all.

 

Approaches for Water Resources Planning and Management

Water resources planning and management activities are usually motivated by the realization that there are problems to solve and/or opportunities to obtain increased benefits by changing the management and use of water and related resources. This lecture presents water planning and management approaches, focusing on their technical, financial and economic, institutional and governance aspects. The different paradigms of water resources planning and management are discussed, including top-down planning, bottom-up planning, and Integrated Water Resources Management. The lecture evaluates the engineering paradigms and tools typically used to support planning and management and identifies the potential to update them in light of sustainable development and climate goals. The approaches and framework discussed in this lecture will serve the basis for the sub-sector deep-dives in the following lectures.

 

Are we going to run out of water?

Households, farms, factories, and ecosystems around the world are being forced to live with less water. Water crises are now amongst the top global risks, and many cities are already facing water shortages. This lecture unpacks the concept of water scarcity to explore its multiple dimensions and map its consequences at global and local levels. What are the main sources of water? And how do societies use it – and value it? Will we run out of water? Taking the world’s most water scarce region (Middle East and North Africa) as a case study, the lecture responds to these questions and evaluates alternative responses to water scarcity, with a focus on engineering options that manufacture new water through wastewater reuse and desalination.

 

Can clean energy help ease the water crisis?

How does the energy sector use water? What are the potential impacts of energy system transformation on water supplies? And how much energy does the water sector utilize? This lecture explores the ‘nexus’ between energy and water, examining both water for energy and energy for water, and presenting options for integrated energy and water systems planning. Taking the case study of a water utility in Brazil, the lecture discusses pathways to reduce energy consumption in the water sector.

 

Can we grow more food with less water?

Sustainable food production will not happen if water is not managed properly. Agriculture accounts for 70 percent of global freshwater withdrawals, and remains a major source of water pollution. Against this backdrop, engineers and policy-makers around the world often promote investments to grow more ‘crop per drop’, that is, more food with less water. This lecture explores the opportunities of growing more food with less water, and reveals some of the linkages between food and water policy that engineers need to be aware of when seeking to maximize efficiency in the water sector. Taking the case study of solar-power irrigation systems in India, the lecture discusses the complexities of integrated water-food-energy policy.

 

Working with nature: can ecosystems-based approaches help achieve water security?

Engineers around the world increasingly work with natural processes to reduce the impacts of floods and droughts, or to improve water quality. This lecture describes multiple types of nature-based solutions, and their benefits in terms of water-related outcomes and broader environmental outcomes. Taking the case study of natural flood management in the UK, the lecture discusses the approaches for working with nature to improve water security.

 

Sharing water, sharing problems?

As water scarcity increases around the world, the spectre of ‘water wars’ is often evoked by the media and by politicians. While water is indeed a source of tension between and within countries, it is very rarely a direct cause of war or conflict. This lecture reviews the complexities of managing water across boundaries and explores the evidence that helps dispel the myths of water wars. Two case studies from river basins in Africa showcase the potential for water engineering to contribute to cooperative transboundary water management.

 

Putting it all together: project planning for climate adaptation in the water sector

The course introduced some of the water-related challenges and opportunities encountered around the world, and the tools that are being used to address them.  The final lecture combines messages from the previous lectures to draw some general lessons on good practices for climate adaptation in the water sector. The concepts of robustness and adaptive planning are introduced, and a framework for analysis and implementation of projects is evaluated with examples from projects from different parts of the world.

 

Coursework

Coursework Format

Due date

& marks

Coursework 1: Policy Brief on access to drinking water supply and sanitation

In this assignment, you will search for and handle water-related data and use this data to provide timely policy advice. The assignment gives you a chance to focus on perhaps one of the largest sustainable engineering challenges of our times not covered extensively in your degree: extending access to drinking water supply and sanitation.

You will learn to use data to craft policy recommendations: this is an approach routinely used by development banks, governments, NGOs, and other interest groups to define priorities for policy support and investment pipelines. Data-driven analysis is also widely used to do advocacy, and you could end up using results from this assignment to write a blog raising awareness about gaps in access to drinking water supply and sanitation in a country/geography of interest to you.

Learning objective:

  • To  develop the ability to seek new information and achieve a balanced critique of the existing literature through individual research of relevant details/topics NOT covered in the lecture programme
Individual Report
 anonymously marked

day during term, ex:

Thu week 4

[20/60]

Coursework 2: Water Strategy

“When everything is a priority, nothing is a priority.” Countries around the world are increasingly grappling with the consequences of failing to manage their water. However, governments and policymakers are often pulled in many different directions and often don’t have the fiscal space to pursue all policies and investments all at once. Against this backdrop, the development of national water strategies is an important tool to help policymakers identify national priorities for the water sector, sequence their policies/investments, assign responsibilities, and define metrics to track progress. In this assignment, you will review the national water strategy of a country (Jordan, Kenya, Uzbekistan) and provide your expert opinion.

Learning objective:

  • In this assignment, you will learn to read national water strategies, critically evaluate their structure and content, and make recommendations for solutions to address one specific priority area identified in the strategy (e.g., expanding irrigation, increasing access to water supply and sanitation, strengthening flood risk management, transboundary water management, inclusion in water management). In turn, this will help you develop the ability to critically evaluate the role of water engineering within broader national development agendas.  

Individual Report

anonymously marked

  Wed week 9

[40/60]

 

Booklists

Loucks, D. P., & Van Beek, E. (2017). Water resource systems planning and management: An introduction to methods, models, and applications. Springer

World Bank. (2017). Beyond Scarcity: Water Security in the Middle East and North Africa. The World Bank.

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

 
Last modified: 06/06/2025 12:38

Engineering Tripos Part IIB, 4D15: Water management under climate change, 2024-25

Leader

Dr E Borgomeo

Lecturer

Dr E Borgomeo

Timing and Structure

Lent term. 16 lectures ( Eight 2 hour sessions) + coursework. Assessment: 100% coursework.

Aims

The aims of the course are to:

  • Recognise the unsustainable feature of current water engineering practice
  • An understanding of water management under climate change, and the role that sustainability professionals can play in helping societies adapt to climate change
  • The ability to evaluate recent practices and developments in managing all aspects of the water cycle in both developed and developing countries

Objectives

As specific objectives, by the end of the course students should be able to:

  • Understand the limitations of conventional /traditional water supply and wastewater engineering systems in a sustainability context.
  • Appreciate the key features of managing the water cycle in a sustainable manner and the need to meet a variety of resilience criteria.
  • Recognise and critically assess the problems and solutions associated with managing water engineering projects.
  • Be familiar with key aspects of water management in an international development context
  • Recognise global issues in relation to the equitable management, distribution and disposal of water under growing environmental, social and political constraints.

Content

Leonardo Da Vinci remarked that ‘Water … is the cause of life or death, of increase or privation, nourishes at times and at others does the contrary …’. Today, water is at the centre of the sustainable development and climate action agendas. The most serious and high-profile impacts of climate change are being felt through water: floods, droughts, melting of ice and reduced snow cover, amongst others. Water is also a major sustainable development challenge: worldwide, 844 million people lack access to drinking water, and 2.3 billion do not have access to latrines or other basic sanitation facilities, mostly in low- and middle-income countries. High-income countries are also faced with water-related policy and engineering dilemmas. In the UK, the water sector is facing a major governance and investment crisis, and in the US, millions of people are drinking potentially unsafe tap water.

The module explores established and emerging practices for managing water under climate change. The module introduces key water issues around the world, including access to water supply and sanitation, flood and drought risk management, irrigation water service provision, and freshwater ecosystem degradation. Established and emerging engineering and policy practices for addressing these issues under climate change will be reviewed, including risk-based water resources planning, water allocation reform, and nature-based solutions. The interdependencies between water and other critical resources and sectors will be explored, with respect to greenhouse gas emissions, energy use, food security, and recovery of nutrients. The module features discussions of present-day applications, with a focus on case studies from Africa, Asia, and Latin America.

 

Why Plan and Manage Water?

Climate change expresses itself through water. Nine out of ten ‘natural’ disasters are water-related. Water-related climate risks cascade through food, energy, urban and environmental systems. If we are to achieve climate and development goals, water must be at the core of adaptation strategies and development policy. This lecture describes some of the challenges and opportunities related to water, with examples from around the world. Problems of water management include too much, too little, too polluted, or too expensive water. The lecture also provides an overview of global progress towards Sustainable Development Goals 6 on ensuring availability and sustainable management of water and sanitation for all.

 

Approaches for Water Resources Planning and Management

Water resources planning and management activities are usually motivated by the realization that there are problems to solve and/or opportunities to obtain increased benefits by changing the management and use of water and related resources. This lecture presents water planning and management approaches, focusing on their technical, financial and economic, institutional and governance aspects. The different paradigms of water resources planning and management are discussed, including top-down planning, bottom-up planning, and Integrated Water Resources Management. The lecture evaluates the engineering paradigms and tools typically used to support planning and management and identifies the potential to update them in light of sustainable development and climate goals. The approaches and framework discussed in this lecture will serve the basis for the sub-sector deep-dives in the following lectures.

 

Are we going to run out of water?

Households, farms, factories, and ecosystems around the world are being forced to live with less water. Water crises are now amongst the top global risks, and many cities are already facing water shortages. This lecture unpacks the concept of water scarcity to explore its multiple dimensions and map its consequences at global and local levels. What are the main sources of water? And how do societies use it – and value it? Will we run out of water? Taking the world’s most water scarce region (Middle East and North Africa) as a case study, the lecture responds to these questions and evaluates alternative responses to water scarcity, with a focus on engineering options that manufacture new water through wastewater reuse and desalination.

 

Can clean energy help ease the water crisis?

How does the energy sector use water? What are the potential impacts of energy system transformation on water supplies? And how much energy does the water sector utilize? This lecture explores the ‘nexus’ between energy and water, examining both water for energy and energy for water, and presenting options for integrated energy and water systems planning. Taking the case study of a water utility in Brazil, the lecture discusses pathways to reduce energy consumption in the water sector.

 

Can we grow more food with less water?

Sustainable food production will not happen if water is not managed properly. Agriculture accounts for 70 percent of global freshwater withdrawals, and remains a major source of water pollution. Against this backdrop, engineers and policy-makers around the world often promote investments to grow more ‘crop per drop’, that is, more food with less water. This lecture explores the opportunities of growing more food with less water, and reveals some of the linkages between food and water policy that engineers need to be aware of when seeking to maximize efficiency in the water sector. Taking the case study of solar-power irrigation systems in India, the lecture discusses the complexities of integrated water-food-energy policy.

 

Working with nature: can ecosystems-based approaches help achieve water security?

Engineers around the world increasingly work with natural processes to reduce the impacts of floods and droughts, or to improve water quality. This lecture describes multiple types of nature-based solutions, and their benefits in terms of water-related outcomes and broader environmental outcomes. Taking the case study of natural flood management in the UK, the lecture discusses the approaches for working with nature to improve water security.

 

Sharing water, sharing problems?

As water scarcity increases around the world, the spectre of ‘water wars’ is often evoked by the media and by politicians. While water is indeed a source of tension between and within countries, it is very rarely a direct cause of war or conflict. This lecture reviews the complexities of managing water across boundaries and explores the evidence that helps dispel the myths of water wars. Two case studies from river basins in Africa showcase the potential for water engineering to contribute to cooperative transboundary water management.

 

Putting it all together: project planning for climate adaptation in the water sector

The course introduced some of the water-related challenges and opportunities encountered around the world, and the tools that are being used to address them.  The final lecture combines messages from the previous lectures to draw some general lessons on good practices for climate adaptation in the water sector. The concepts of robustness and adaptive planning are introduced, and a framework for analysis and implementation of projects is evaluated with examples from projects from different parts of the world.

 

Coursework

Coursework Format

Due date

& marks

Coursework 1: Individual Research Report on a key water related topic

An open ended  investigation in further detail of one aspect of water engineering practice

Learning objective:

  • To  develop the ability to seek new information and achieve a balanced critique of the existing literature through individual research of relevant details/topics NOT covered in the lecture programme
Individual Report
 anonymously marked

day during term, ex:

Thu week 4

[30/60]

Coursework 2: Resilience assessment of one aspect of water engineering practice

A critique of  one aspect of  current water engineering practice (e.g supply, wastewater dispsoal, drainage, development) against resilience criteria and propose key areas for change

Learning objective:

  • To apply a resilience and sustainable mindset to the delivery of water services

Individual Report

anonymously marked

  Wed week 9

[30/60]

 

Booklists

Loucks, D. P., & Van Beek, E. (2017). Water resource systems planning and management: An introduction to methods, models, and applications. Springer

World Bank. (2017). Beyond Scarcity: Water Security in the Middle East and North Africa. The World Bank.

 

 

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

IA2

Demonstrate creative and innovative ability in the synthesis of solutions and in formulating designs.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E4

Understanding of and ability to apply a systems approach to engineering problems.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P3

Understanding of contexts in which engineering knowledge can be applied (e.g. operations and management, technology, development, etc).

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

 
Last modified: 06/03/2025 09:40

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