Dr Edgar Whitley NAB 3.32

This course is available on the CEMS Exchange, MBA Exchange, MSc in Management (1 Year Programme), MSc in Management of Information Systems and Digital Innovation and MSc in Media and Communications (Data and Society). This course is available with permission as an outside option to students on other programmes where regulations permit.

This course has a strong management focus and assumes a general knowledge of information systems and their management equivalent to MG472 Global Strategy, Management and Information Systems.

This course introduces students to two Contemporary Topics in Advanced Technology Management.  It uses academic perspectives on the topics to provide a detailed contextualisation of technology’s historical and intellectual development and combines this with practitioner perspectives to highlight the management challenges associated with these technological developments.

The topics are expected to be Artificial intelligence and Machine learning and Financial Technologies including Open Banking, Distributed Ledgers and Blockchains.

20 hours of lectures and 9 hours of seminars in the LT.

Lecture durations vary by week and a detailed schedule is available on Moodle.

A reading week will take place during Week 6. There will be no teaching during this week.

Students will be present two draft presentations and evolving essay plans in the LT.

The reading list will be technology specific, and determined by the guest academics.  As such, they are likely to vary from year to year.  Detailed readings will be made available on Moodle.

Artificial intelligence and Machine learning

• Fogel, M. (2016). The 10 Best AI, Data Science and Machine Learning Podcasts, Medium (available at https://medium.com/startup-grind/the-10-best-ai-data-science-and-machine-learning-podcasts-d7495cfb127c#.v7943hwof).

• Brynjolfsson, E., and McAfee, A. (2017). The Business of Artificial Intelligence, Harvard Business Review (available at https://hbr.org/2017/07/the-business-of-artificial-intelligence).

• Davenport, T. H., and Ronanki, R. (2018). 3 Things AI Can Already Do for Your Company, Harvard Business Review (available at https://hbr.org/2018/01/artificial-intelligence-for-the-real-world).

• Huang, M.-H., and Rust, R. T. (2018). Artificial Intelligence in Service, Journal of Service Research .

• Levy, S. (2018). How Amazon Rebuilt Itself Around Artificial Intelligence, Wired (available at https://www.wired.com/story/amazon-artificial-intelligence-flywheel/).

• Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms, Futures 90, 46–60.

Financial Technologies including Distributed Ledgers and Blockchains

• Alstyne, M. W. V., Parker, G. G., and Choudary, S. P. (2016). Pipelines, Platforms, and the New Rules of Strategy, Harvard Business Review 94(4), 54–62.

• Birch, D., Brown, R. G., and Parulava, S. (2016). Towards ambient accountability in financial services: Shared ledgers, translucent transactions and the technological legacy of the great financial crisis, Journal of Payments Strategy & Systems 10(2), 118–131.

• Iansiti, M., and Lakhani, K. R. (2017). The Truth About Blockchain, Harvard Business Review (January-February) (available at https://hbr.org/2017/01/the-truth-about-blockchain).

• Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System, Bitcoin.org (available at https://bitcoin.org/bitcoin.pdf).

• UK Government Chief Scientific Adviser (2016). Distributed ledger technology: Blackett review, (available at https://www.gov.uk/government/publications/distributed-ledger-technology-blackett-review).

• Underwood, S. (2016). Blockchain Beyond Bitcoin, Communications of the ACM 59(11), 15–17.

•  Zachariadis, M., and Ozcan, P. (2017). The API Economy and Digital Transformation in Financial Services: The case of Open Banking, The Swift Institute (available at https://www.swiftinstitute.org/papers/the-api-economy-and-digital-transformation-in-financial-services-the-case-of-open-banking/)

Essay (50%, 2500 words), presentation (40%) and class participation (10%) in the LT.

The individual essay will focus on the emergent management challenges introduced by one advanced technology not covered in the lectures. Two group presentations will make up the 40% presentation mark: Group Presentation 1 (15%) and Group Presentation 2 (25%).