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Automatefin-fonnate: The two faces of intelligent technology
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Citations
Cited by
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
“In that paper and subsequent writing I distinguished ‘ computer-mediated ’ work from earlier generations of mechanization and automation designed to substitute for or simplify human labor (e.g. Zuboff, 1988, 1985, 1982).”
Self-citationDebating big data: a literature review on realizing value from big data
Günther, W. A., Rezazade Mehrizi, M. H., Huysman, M., & Feldberg, F. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.07.003 · Cited by 880
Managing artificial intelligence
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16274 · Cited by 898
Sharma, R., Mithas, S., & Kankanhalli, A. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.17 · Cited by 516
Trusting Automation: Designing for Responsivity and Resilience
Chiou, E. K., & Lee, J. D. (2023) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211009995 · Cited by 301
Artificial Intelligence Techniques in Human Resource Management—A Conceptual Exploration
Strohmeier, S., & Piazza, F. (2015) · Intelligent Systems Reference Library · doi:10.1007/978-3-319-17906-3_7 · Cited by 224
Algorithmic Management: Bright and Dark Sides, Practical Implications, and Research Opportunities
Benlian, A., Wiener, M., Cram, W. A., Krasnova, H., Maedche, A., Möhlmann, M., Recker, J., & Remus, U. (2022) · Business & Information Systems Engineering · doi:10.1007/s12599-022-00764-w · Cited by 180
Organizational adoption of e‐HRM in Europe: An empirical exploration of major adoption factors
Strohmeier, S., & Kabst, R. (2009) · Journal of Managerial Psychology · doi:10.1108/02683940910974099 · Cited by 142
Work design in future industrial production: Transforming towards cyber-physical systems
Waschull, S., Bokhorst, J. A. C., Molleman, E., & Wortmann, J. C. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2019.01.053 · Cited by 124
Configurations of e-HRM-an empirical exploration
Strohmeier, S., & Kabst, R. (2014) · Employee Relations · doi:10.1108/er-07-2013-0082 · Cited by 73
Metadata
- Authors
- Zuboff, S.
- Venue
- Organizational Dynamics
- Publisher
- Elsevier BV
- Published
- 1985
- Volume
- 14
- Issue
- 2
- Pages
- 5-18
- ISSN
- 0090-2616 (ISSN-L)
- OpenAlex
- W2047025305
- Cited by
- 275
- References
- 0
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.