The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Einax, J. W., Zwanziger, H. W., & Geiß, S. (1997) · Wiley eBooks · doi:10.1002/352760216x.ch5 · Cited by 18,779
Toward a knowledge-based theory of the firm
Grant, R. M. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171110 · Cited by 16,157
Making sense of cronbach’s alpha.
Tavakol, M., & Dennick, R. (2011) · International Journal of Medical Education · doi:10.5116/ijme.4dfb.8dfd · Cited by 15,126
The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611
Research works printed but not linked: 16
- Amabile, 2020, Creativity, Artificial Intelligence, and a World of Surprises, Academy of Management Discoveries, 6
- Anderson, N. and Thomas, H. D. (1996). Work group socialization. In M. West (Ed) Handbook of work group psychology (pp. 423-450).
- Barro, 2019, People and machines: Partners in innovation, MIT Sloan Management Review, 60, 22
- Bieda, 2020, How Organizations Can Build Analytics Agility, MIT Sloan Management Review
- Bughin, 2018, Why digital strategies fail, McKinsey Quarterly.
- Chowdhury, 2020, Putting Responsible AI Into Practice, MIT Sloan Management Review
- Chui, 2018, AI adoption advances, but foundational barriers remain, McKinsey Global Institute Research
- Davenport, 2017, How P&G and American Express are approaching AI, Harvard Business Review
- Fountaine, 2019, Building the AI-powered organization, Harvard Business Review, 97, 62
- Kiron, 2019, Strategy For and With AI, MIT Sloan Management Review, 60, 30
- Knickrehm, 2018, How will AI change work? Here are 5 schools of thought, Harvard Business Review
- Mahidhar, 2018, Why companies that wait to adopt AI may never catch up, Harvard Business Review
- Ransbotham, 2017, Reshaping business with artificial intelligence: Closing the gap between ambition and action, MIT Sloan Management Review, 59
- Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D. & Spira, M., (2018). Artificial intelligence in business gets real. MIT Sloan Management Review and Boston Consulting Group, 60280.
- Ransbotham S., Kiron D., Khodabandeh S., Fehling R., LaFountain B., (2019). Winning with AI. MIT Sloan Management Review and Boston Consulting Group, 61180.
- Wilson, 2018, Collaborative intelligence: Humans and AI are joining forces, Harvard Business Review, 96, 114
Cited by
Sorted by citations
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100899 · Cited by 927
Self-citationBankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024) · Journal of Organizational Behavior · doi:10.1002/job.2735 · Cited by 799
Artificial intelligence in logistics and supply chain management: A primer and roadmap for research
Richey, R. G., Chowdhury, S., Davis‐Sramek, B., Giannakis, M., & Dwivedi, Y. K. (2023) · Journal of Business Logistics · doi:10.1111/jbl.12364 · Cited by 471
“Organizations might increasingly lean towards a workforce that can collaborate seamlessly with AI systems, fostering a symbiotic relationship that leverages the strengths of both humans and machines, i.e., collaborative intelligence (Chowdhury et al., 2022; Peng et al., 2022).”
Self-citationDey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024) · International Journal of Production Research · doi:10.1080/00207543.2023.2179859 · Cited by 330
“…workforce needs, government policies and regulations, external turbulent and dynamic business environment, consumer needs and evolving preferences, SC partners’ requirements, organisations’ corporate social responsibility and ethos and sustain unprecedented disruptions ( Chowdhury et al. 2022b).”
BackgroundInfluentialSelf-citationKong, H., Yin, Z., Baruch, Y., & Yuan, Y. (2023) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2023.103928 · Cited by 305
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 ›
Are you an author, or do you see a problem with this page? Request a review
