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AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework
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Metadata
- Authors
- Chowdhury, S., Budhwar, P., Dey, P. K., Joel-Edgar, S., & Abadie, A.
- Affiliations
- TBS Education (FR)
- Aston University (GB)
- Northeastern University London (GB)
- Corresponding author
- Chowdhury, Soumyadeb
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 144
- Pages
- 31-49
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W4210465889
- Cited by
- 531
- References
- 128
- Citations by year
- 2026: 195 · 2025: 177 · 2024: 88 · 2023: 55 · 2022: 16
- FWCI
- 79.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Business Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Knowledge Management and Sharing
- Keywords
- human-AI collaboration, collaborative intelligence, firm performance, knowledge sharing, AI competencies, trust, role clarity, knowledge-based view, socio-technical systems, organizational socialization, creative industries
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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