Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making

Business Horizons - Tập 61 - Trang 577-586 - 2018
Mohammad Hossein Jarrahi1
1School of Information & Library Sciences, University of North Carolina, Chapel Hill, 200 Manning Hall, Chapel Hill, NC 27599, U.S.A.

Tài liệu tham khảo

Accenture, 2017 Bishop, 2000 Brynjolfsson, 2012, Winning the race with ever-smarter machines, MIT Sloan Management Review, 53, 53 Brynjolfsson, 2014 Buchanan, 2006, A brief history of decision making, Harvard Business Review, 84, 32 Burke, 1999, Taking the mystery out of intuitive decision making, The Academy of Management Executive, 13, 91 Campbell, M. (2016, October 24). 20 years later, humans still no match for computers on the chessboard. NPR. Available at https://www.npr.org/sections/alltechconsidered/2016/10/24/499162905/20-years-later-humans-still-no-match-for-computers-on-the-chessboard Captain, S. (2017, January 5). Can IBM’s Watson do it all? Fast Company. Available at https://www.fastcompany.com/3065339/can-ibms-watson-do-it-all Choo, 1991, Towards an information model of organizations, The Canadian Journal of Information Science, 16, 32 CIO Network (2017, June 7). How AI and machine learning are helping drive the GE digital transformation. Forbes. Available at https://www.forbes.com/sites/ciocentral/2017/06/07/how-ai-and-machine-learning-are-helping-drive-the-ge-digital-transformation/#5bf216e21686 Cross, 2002, Making invisible work visible: Using social network analysis to support strategic collaboration, California Management Review, 44, 25, 10.2307/41166121 Dane, 2012, When should I trust my gut? Linking domain expertise to intuitive decision-making effectiveness, Organizational Behavior and Human Decision Processes, 119, 187, 10.1016/j.obhdp.2012.07.009 Davenport, 2016, Rise of the strategy machines, MIT Sloan Management Review, 58, 13 Davenport, T. H., & Bean, R. (2017, March 31). How P&G and American Express are approaching AI. Harvard Business Review. Available at https://hbr.org/2017/03/how-pg-and-american-express-are-approaching-ai Davenport, T. H., & Faccioli, G. (2017, May 22). Cognitive on the continent. Data Informed. Available at http://data-informed.com/cognitive-on-the-continent/ Davenport, 2016, Just how smart are smart machines?, MIT Sloan Management Review, 57, 21 Frischmann, B., & Selinger, E. (2017, September 25). Robots have already taken over our work, but they’re made of flesh and bone. The Guardian. Available at https://www.theguardian.com/commentisfree/2017/sep/25/robots-taken-over-work-jobs-economy?CMP=share_btn_tw Gardner, 1996, Using the Myers-Briggs type indicator to study managers: A literature review and research agenda, Journal of Management, 22, 45, 10.1177/014920639602200103 Gray, M. L., & Suri, S. (2017, January 9). The humans working behind the AI curtain. Harvard Business Review. Available at https://hbr.org/2017/01/the-humans-working-behind-the-ai-curtain Guszcza, 2017 Hayashi, 2001, When to trust your gut, Harvard Business Review, 79, 59 Hoffman, R. (2016, June 14). Using artificial intelligence to set information free. MIT Sloan Frontiers. Available at https://sloanreview.mit.edu/article/using-artificial-intelligence-to-humanize-management-and-set-information-free/ Hung, 2003, Expert versus novice use of the executive support systems: An empirical study, Information and Management, 40, 177, 10.1016/S0378-7206(02)00003-4 Isaacson, 2011 Kelly, K. (2012, December 24). Better than human: Why robots will—and must—take our jobs. Wired. Available at https://www.wired.com/2012/12/ff-robots-will-take-our-jobs/ King, 2016, Will computers put us out of work?, Computer, 49, 82, 10.1109/MC.2016.126 Koufteros, 2005, Internal and external integration for product development: The contingency effects of uncertainty, equivocality, and platform strategy, Decision Sciences, 36, 97, 10.1111/j.1540-5915.2005.00067.x Leetaru, K. (2016, November 8). Is Elon Musk right and will AI replace most human jobs? Forbes. Available at https://www.forbes.com/sites/kalevleetaru/2016/11/08/is-elon-musk-right-and-will-ai-replace-most-human-jobs/#6c6b41a860f4 MacCrory, F., Westerman, G., Alhammadi, Y., & Brynjolfsson, E. (2014). Racing with and against the machine: Changes in occupational skill composition in an era of rapid technological advance. In Proceedings of the 35th International Conference on Information Systems (pp. 295–311). Red Hook, NY: Curran Associates Inc. Martin, 2009 Marwala, 2015 Mintzberg, 1994, The fall and rise of strategic planning, Harvard Business Review, 72, 107 Moore, 2016, Predicting a future where the future is routinely predicted, MIT Sloan Management Review, 58, 40 Mumford, 1994, New treatments or old remedies: Is business process reengineering really socio-technical design?, The Journal of Strategic Information Systems, 3, 313, 10.1016/0963-8687(94)90036-1 New Vantage Partners. (2017). Big data executive survey 2017. Available at http://newvantage.com/wp-content/uploads/2017/01/Big-Data-Executive-Survey-2017-Executive-Summary.pdf Parikh, 1994 Parry, 2016, Rise of the machines: A critical consideration of automated leadership decision making in organizations, Group and Organization Management, 41, 571, 10.1177/1059601116643442 Ransbotham, S. (2016, June 28). Can artificial intelligence replace executive decision making? MIT Sloan Management Review. Available at https://sloanreview.mit.edu/article/can-artificial-intelligence-replace-executive-decision-making/ Russell, 1995 Sadler-Smith, 2004, The intuitive executive: Understanding and applying ‘gut feel’ in decision-making, The Academy of Management Executive, 18, 76 Sawyer, S., & Jarrahi, M. H. (2014). Sociotechnical approaches to the study of information systems. In A. Tucker & H. Topi (Eds.), Computing handbook, third edition: Information systems and information technology (pp. 5.1–5.27). Boca Raton, FL: Chapman and Hall/CRC. Shirado, 2017, Locally noisy autonomous agents improve global human coordination in network experiments, Nature, 545, 370, 10.1038/nature22332 Simon, 1965 Simon, 1982, Theories of bounded rationality, Vol. 1, 408 Wang, D., Khosla, A., Gargeya, R., Irshad, H., & Beck, A. H. (2016). Deep learning for identifying metastatic breast cancer. Available at https://arxiv.org/pdf/1606.05718 Weick, 1993, Collective mind in organizations: Heedful interrelating on flight decks, Administrative Science Quarterly, 38, 357, 10.2307/2393372 Wladawsky-Berger, I. (2017, February 22). The emerging, unpredictable age of AI. MIT. Available at http://ide.mit.edu/news-blog/blog/emerging-unpredictable-age-ai Zuboff, 1988