The Future of Management in an AI World
Springer International Publishing (Verlag)
978-3-030-20682-6 (ISBN)
Artificial Intelligence (AI) is redefining the nature and principles of general management. The technological revolution is reshaping industries, disrupting existing business models, making traditional companies obsolete and creating social change. In response, the role of the manager needs to urgently evolve and adjust. Companies need to rethink their purpose, strategy, organisational design and decision-making rules. Crucially they will also need to consider how to nurture and develop the business leaders of the future and develop new ways to interact with society on issues such as privacy and trust.
Containing international insights from leading figures from the world of management and technology, this book addresses the big challenges facing organisations, including:
· Decision-making
· Corporate strategy
· People management and leadership
· Organisational design
Taking a holistic approach, this collection of expert voices provides valuable insight into how firms will discover and commit to what makes them unique in this new big data world, empowering them to create and sustain competitive advantage.
Jordi Canals is the IESE Foundation Professor of Corporate Governance at IESE Business School, Spain. He served as Dean of IESE Business School between 2001 and 2016 and is a recognised scholar in the areas of corporate strategy, corporate governance and globalisation. Jordi has written several books including Shaping Entrepreneurial Mindsets (Palgrave, 2015), and has acted as Guest Scholar at the International Monetary Fund and the Brookings Institution, Visiting Scholar at the World Bank, and Post-doctoral Research Fellow at Harvard Business School. Jordi was also a member of the Corporate Governance Commission set up by the Spanish Government in July 2002, and is a founding member of the European Shadow Financial Regulatory Committee. Franz Heukamp is the Dean and A. Valero Professor of Management at IESE Business School, Spain, where he was previously Associate Dean for MBA Programs. He graduated from Massachusetts Institute of Technology (MIT), USA, in 2002. As a scholar, he studies decision-making from a behavioural and neuroeconomics perspective, with a special emphasis on risk and decisions under uncertainty. In this context, he regularly works with a wide range of participants, from MBA students to CEOs.
Part I. An introduction to AI and Management.- 1. AI for Management: An Overview; Dario Gil, Stacy Hobson, Aleksandra Mojsilovic, Ruchir Puri, and John R. Smith.- Part II. The Changing Nature of Companies and General Management.- 2. What is the Value of Firms in an AI World?; Julian Birkinshaw.- 3. The Evolving Role of General Managers in the age of AI; Jordi Canals.- Part III. Leadership Development and Talent Management in an AI Age.- 4. The Role of the General Manager in the New Economy: Can We Save People from Technology Dysfunctions?; Jeffrey Pfeffer.- 5. Can Data Science Change Human Resources?; Peter Cappelli, Prasanna Tambe and Valery Yakubovich.- 6. University, Education, Technology and the Future of Work; Bernard Yeung.- 7. AI and the Leadership Development of the Future; Franz Heukamp.- Part IV. Some Key Managerial, Interdisciplinary Challenges.- 8. AI, Marketing Science and Sustainable Profit Growth; Dominique M. Hanssens.- 9. How Can Human-computer 'Superminds' Develop Business Strategies?; Thomas W. Malone.- 10. The CEO as a Business Model Innovator in an AI World; Joan E. Ricart.- 11. Managing AI within a Digital Density Framework; Javier Zamora.
| Erscheinungsdatum | 08.10.2020 |
|---|---|
| Reihe/Serie | IESE Business Collection |
| Zusatzinfo | XXIII, 242 p. 12 illus., 8 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 415 g |
| Themenwelt | Sachbuch/Ratgeber ► Geschichte / Politik ► Politik / Gesellschaft |
| Technik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Analytics • Artifical Intelligence • Big Data • Digital transformation • Governance of AI |
| ISBN-10 | 3-030-20682-3 / 3030206823 |
| ISBN-13 | 978-3-030-20682-6 / 9783030206826 |
| Zustand | Neuware |
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