The Productivity Vampires
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DOI: 10.1007/s10796-019-09943-9
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- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, February.
- Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
- Janeway,William H., 2018. "Doing Capitalism in the Innovation Economy," Cambridge Books, Cambridge University Press, number 9781108471275, January.
- David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
- Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, April.
- Hammer, Michael & Champy, James, 1993. "Reengineering the corporation: A manifesto for business revolution," Business Horizons, Elsevier, vol. 36(5), pages 90-91.
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- R. Ramesh & H. R. Rao, 2020. "ISF Editorial 2020," Information Systems Frontiers, Springer, vol. 22(1), pages 1-9, February.
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Keywords
Productivity; Information; Technology; Systems; Compliance; Cognitive load;All these keywords.
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