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In The Age of the Smart Machine: The Future of Work and Power.
Abstract
A noted Harvard social scientist documents the pitfalls and promises of computerized technology in business life..
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Klein, H. K., & Myers, M. D. (1999) · MIS Quarterly · doi:10.2307/249410 · Cited by 5,263
Strategic alignment: Leveraging information technology for transforming organizations
Henderson, J. C., & Venkatraman, H. (1999) · IBM Systems Journal · doi:10.1147/sj.1999.5387096 · Cited by 3,498
Precarious work, insecure workers: Employment relations in transition
Kalleberg, A. L. (2009) · American Sociological Review · doi:10.1177/000312240907400101 · Cited by 2,998
Big other: Surveillance Capitalism and the Prospects of an Information Civilization
Zuboff, S. (2015) · Journal of Information Technology · doi:10.1057/jit.2015.5 · Cited by 3,205
Self-citationThe Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
Algorithms at Work: The New Contested Terrain of Control
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0174 · Cited by 2,732
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Jarrahi, M. H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.03.007 · Cited by 2,772
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Raisch, S., & Krakowski, S. (2021) · Academy of Management Review · doi:10.5465/amr.2018.0072 · Cited by 2,755
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Blackler, F. (1995) · Organization Studies · doi:10.1177/017084069501600605 · Cited by 2,498
(2006) · Cited by 2,256
The Challenge of Innovation Implementation
Klein, K. J., & Sorra, J. S. (1996) · The Academy of Management Review · doi:10.2307/259164 · Cited by 2,113
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008) · Information Systems Research · doi:10.1287/isre.1070.0165 · Cited by 2,060
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Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789
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Orlikowski, W. J., & Gash, D. C. (1994) · ACM Transactions on Information Systems · doi:10.1145/196734.196745 · Cited by 1,736
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Cohen, M. D., & Bacdayan, P. (1994) · Organization Science · doi:10.1287/orsc.5.4.554 · Cited by 1,393
Lee, M. K. (2018) · Big Data & Society · doi:10.1177/2053951718756684 · Cited by 1,338
Barbrook, R., & Cameron, A. (1996) · Science as Culture · doi:10.1080/09505439609526455 · Cited by 1,115
Tarafdar, M., Cooper, C. L., & Stich, J. (2019) · Information Systems Journal · doi:10.1111/isj.12169 · Cited by 1,085
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Boudreau, M.-C., & Robey, D. (2005) · Organization Science · doi:10.1287/orsc.1040.0103 · Cited by 1,071
(2005) · Texas ScholarWorks (Texas Digital Library) · Cited by 1,064
MUIR, B. M., & MORAY, N. (1996) · Ergonomics · doi:10.1080/00140139608964474 · Cited by 993
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Faraj, S., Pachidi, S., & Sayegh, K. (2018) · Information and Organization · doi:10.1016/j.infoandorg.2018.02.005 · Cited by 929
MUIR, B. M. (1994) · Ergonomics · doi:10.1080/00140139408964957 · Cited by 873
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Beaudry, A., & Pinsonneault, A. (2005) · MIS Quarterly · doi:10.2307/25148693 · Cited by 869
Engeström, Y. (1993) · Understanding Practice · doi:10.1017/cbo9780511625510.004 · Cited by 853
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Stein, E. W., & Zwass, V. (1995) · Information Systems Research · doi:10.1287/isre.6.2.85 · Cited by 843
Robey, D., & Boudreau, M.-C. (1999) · Information Systems Research · doi:10.1287/isre.10.2.167 · Cited by 765
Leonardi, P. M., & Barley, S. R. (2010) · Academy of Management Annals · doi:10.5465/19416521003654160 · Cited by 733
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Halfaker, A., & Geiger, R. S. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3415219 · Cited by 82
Anthony, C. (2018) · Academy of Management Review · doi:10.5465/amr.2016.0334 · Cited by 84
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Ramaul, L., Ritala, P., Kostis, A., & Aaltonen, P. (2026) · Journal of Management Studies · doi:10.1111/joms.13246 · Cited by 41
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Metadata
- Authors
- Sirianni, C., & Zuboff, S.
- Venue
- Contemporary Sociology
- Publisher
- SAGE Publications
- Published
- 1989-09
- Volume
- 18
- Issue
- 5
- Pages
- 713
- ISSN
- 0094-3061 (ISSN-L)
- OpenAlex
- W2032382473
- Cited by
- 3,257
- References
- 0
- FWCI
- 180.44
- Type
- journal article
- Language
- en
- Open access
- closed
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