Datification and its human, organizational and societal effects: The strategic opportunities and challenges of algorithmic decision-making
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Through systems such as Microsoft Teams, organizations can collect data about the minutiae of a worker's activity, productivity, and other granular aspects of their performance.
“Through systems such as Microsoft Teams, organizations can also collect data about the minutiae of a worker’s activity, productivity, and other granular aspects of their performance ranging from daily pat-terns of a specific employee’s behaviors all the way to macro trends of how an organization manages its HR over time toward strategic goals (Galliers et al., 2017).”
From Algorithmic management in a work context (2021) · cites this paper as Galliers et al., 2017
Cites
Debating 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 · see citing works
Sharma, R., Mithas, S., & Kankanhalli, A. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.17 · Cited by 516 · see citing works
Big data privacy: The datafication of personal information
Mai, J.-E. (2016) · The Information Society · doi:10.1080/01972243.2016.1153010 · Cited by 192 · see citing works
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Algorithmic management in a work context
Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021) · Big Data & Society · doi:10.1177/20539517211020332 · Cited by 532 · see citing works
“…data about the minutiae of a worker’s activity, productivity, and other granular aspects of their performance ranging from daily patterns of a specific employee’s behaviors all the way to macro trends of how an organization manages its HR over time toward strategic goals (Galliers et al., 2017).”
BackgroundMethodAugmenting the algorithm: Emerging human-in-the-loop work configurations
Grønsund, T., & Aanestad, M. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101614 · Cited by 364 · see citing works
“Information Systems (IS) researchers have raised fundamental questions as to the ramifications of both datafication processes (Galliers et al., 2017, Günther et al., 2017; Markus, 2017) and intelligent technologies (Bailey and Barley, 2019; Faraj et al., 2018; von Krogh, 2018; Rai et al., 2019),…”
BackgroundMarjanovic, O., Cecez-Kecmanovic, D., & Vidgen, R. (2018) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-030-04091-8_4 · Cited by 15 · see citing works
- Authors
- Galliers, R. D., Newell, S., Shanks, G., & Topi, H.
- Affiliations
- Bentley University (US)
- University of Sussex (GB)
- The University of Melbourne (AU)
- Corresponding author
- Galliers, R.D.
- Venue
- The Journal of Strategic Information Systems
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 26
- Issue
- 3
- Pages
- 185-190
- ISSN
- 0963-8687 (ISSN-L)
- OpenAlex
- W2762792010
- Cited by
- 70
- References
- 3
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 12 · 2023: 6 · 2022: 5 · 2021: 14 · 2020: 12 · 2019: 9 · 2018: 7
- FWCI
- 17.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Strategic Information Systems (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- datification, algorithmic decision-making, organizational effects, social consequences, strategic opportunities, strategic challenges
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