Topic 9 of 13

AI for leaders

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References

Listed A–Z by author surname, Harvard style. A source with a DOI links to https://doi.org/…; one without links to its page or says plainly that it has no DOI.

  1. Ansari, A. and Mela, C.F. (2003) ‘E-customization’, Journal of Marketing Research, 40(2), pp. 131–145.doi:10.1509/jmkr.40.2.131.19224Source page
  2. Anthropic (2024) Building effective AI agents. Anthropic Research.No DOIanthropic.comSource page
  3. Anthropic (2025) Effective context engineering for AI agents. Anthropic Research.No DOIanthropic.comSource page
  4. Arora, N. et al. (2008) ‘Putting one-to-one marketing to work: personalization, customization, and choice’, Marketing Letters, 19(3-4), pp. 305–321.doi:10.1007/s11002-008-9056-zSource page
  5. Binns, R. (2018) ‘Fairness in machine learning: lessons from political philosophy’, in Proceedings of Machine Learning Research. pp. 149–159.No DOIproceedings.mlr.pressSource page
  6. Boonstra, L. (n.d.) Prompt engineering [whitepaper].No DOIkaggle.comSource page
  7. Brown, T.B., Mann, B. and Ryder, N. (2020) Language models are few-shot learners. (arXiv preprint arXiv:2005.14165).doi:10.48550/arXiv.2005.14165Source page
  8. Cress, L. (2025) 'Vibe coding' named word of the year by Collins Dictionary. BBC News.No DOIbbc.comSource page
  9. Dattner, B. et al. (2019) The legal and ethical implications of using AI in hiring. Harvard Business Review.No DOIhbr.orgSource page
  10. Dwork, C. et al. (2012) ‘Fairness through awareness’, in Proceedings of the 3rd Innovations in Theoretical Computer Science Conference. New York: ACM, pp. 214–226.doi:10.1145/2090236.2090255Source page
  11. European Parliament and Council (2016) Regulation (EU) 2016/679 (General Data Protection Regulation). Official Journal of the European Union.No DOIeur-lex.europa.euSource page
  12. Fairfield, J.A.T. and Engel, C. (2015) ‘Privacy as a public good’, Duke Law Journal, 65(3), pp. 385–457.No DOIscholarship.law.duke.eduSource page
  13. Ferretti, T. (2022) ‘An institutionalist approach to AI ethics: justifying the priority of government regulation over self-regulation’, Moral Philosophy and Politics, 9(2), pp. 239–265.doi:10.1515/mopp-2020-0056Source page
  14. Ferretti, T. (2024) ‘Value alignment without institutional change cannot prevent the societal risks of artificial intelligence’, LSE Public Policy Review, 3(3), article 2.doi:10.31389/lseppr.113Source page
  15. Gabriel, I. (2020) ‘Artificial intelligence, values, and alignment’, Minds and Machines, 30(3), pp. 411–437.doi:10.1007/s11023-020-09539-2Source page
  16. Göcke, L. and Meier, P. (2021) ‘Development and validation of platform businesses in digital entrepreneurship’, in Digital entrepreneurship: impact on business and society. Cham: Springer, pp. 87–102.doi:10.1007/978-3-030-53914-6_5Source page
  17. Hiatt, J.M. (2006) ADKAR: A Model for Change in Business, Government and Our Community. Loveland, CO: Prosci Learning Center Publications.No DOISource page
  18. Kleinberg, J., Mullainathan, S. and Raghavan, M. (2017) ‘Inherent trade-offs in the fair determination of risk scores’, in 8th Innovations in Theoretical Computer Science Conference (ITCS 2017), LIPIcs 67. pp. 43:1–43:23.doi:10.4230/LIPIcs.ITCS.2017.43Source page
  19. Kotter, J.P. (1995) Leading change: why transformation efforts fail. Harvard Business Review.No DOIhbr.orgSource page
  20. Lepenioti, K. et al. (2020) ‘Prescriptive analytics: literature review and research challenges’, International Journal of Information Management, 50, pp. 57–70.doi:10.1016/j.ijinfomgt.2019.04.003Source page
  21. Lewis, P., Perez, E. and Piktus, A. (2020) Retrieval-augmented generation for knowledge-intensive NLP tasks. (arXiv preprint arXiv:2005.11401).doi:10.48550/arXiv.2005.11401Source page
  22. Lopopolo, R. (2026) Harness engineering: leveraging Codex in an agent-first world. OpenAI.No DOIopenai.comSource page
  23. Moradi, P. and Levy, K. (2020) ‘The future of work in the age of AI: displacement or risk-shifting?’, in The Oxford handbook of ethics of AI. New York: Oxford University Press, pp. 270–288.doi:10.1093/oxfordhb/9780190067397.013.17Source page
  24. Nissenbaum, H. (2010) Privacy in context: technology, policy, and the integrity of social life. Stanford, CA: Stanford University Press.doi:10.1515/9780804772891Source page
  25. Odeh, G. (2021) ‘Implementing McKinsey 7S model of organizational diagnosis and planned change, Best Western Italy case analysis’, Journal of International Business and Management, 11(4), pp. 1–8.doi:10.37227/JIBM-2021-09-1438Source page
  26. OpenAI (2025) Identifying and scaling AI use cases: how early adopters focus their AI efforts [guide].No DOIcdn.openai.comSource page
  27. Ostrom, E. (1990) Governing the commons: the evolution of institutions for collective action. Cambridge: Cambridge University Press.doi:10.1017/cbo9780511807763Source page
  28. Palm, E. (2009) ‘Securing privacy at work: the importance of contextualized consent’, Ethics and Information Technology, 11(4), pp. 233–241.doi:10.1007/s10676-009-9208-8Source page
  29. Parasuraman, R., Sheridan, T.B. and Wickens, C.D. (2000) ‘A model for types and levels of human interaction with automation’, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 30(3), pp. 286–297.doi:10.1109/3468.844354Source page
  30. Philippon, T. (2016) The FinTech opportunity. Cambridge, MA: National Bureau of Economic Research (NBER Working Paper No. 22476).doi:10.3386/w22476Source page
  31. Soltanifar, M., Hughes, M. and Göcke, L. (2021) Digital entrepreneurship: impact on business and society. Cham: Springer.doi:10.1007/978-3-030-53914-6Source page
  32. Tabassi, E. (2023) Artificial Intelligence Risk Management Framework (AI RMF 1.0). Gaithersburg, MD: National Institute of Standards and Technology (NIST AI 100-1).doi:10.6028/NIST.AI.100-1Source page
  33. Tam, K.Y. and Ho, S.Y. (2006) ‘Understanding the impact of web personalization on user information processing and decision outcomes’, MIS Quarterly, 30(4), pp. 865–890.doi:10.2307/25148757Source page
  34. Waterman, R.H., Peters, T.J. and Phillips, J.R. (1980) ‘Structure is not organization’, Business Horizons, 23(3), pp. 14–26.doi:10.1016/0007-6813(80)90027-0Source page
  35. Wedel, M. and Kannan, P.K. (2016) ‘Marketing analytics for data-rich environments’, Journal of Marketing, 80(6), pp. 97–121.doi:10.1509/jm.15.0413Source page
  36. Wei, J. et al. (2022) Chain-of-thought prompting elicits reasoning in large language models. (arXiv preprint arXiv:2201.11903).doi:10.48550/arXiv.2201.11903Source page
  37. Yao, S. et al. (2023) ReAct: synergizing reasoning and acting in language models. (ICLR 2023 (camera-ready version); arXiv:2210.03629).doi:10.48550/arXiv.2210.03629Source page
  38. Zimmermann, A., Di Rosa, E. and Kim, H. (2020) Technology can't fix algorithmic injustice. Boston Review.No DOIbostonreview.netSource page
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