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
Items 501–531 of 531
Shi, Y. (2026) · Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI) · doi:10.1145/3837873.3838060
Ali, A., Bahadur, W., Liu, L., & Tariq, H. (2026) · Internet Research · doi:10.1108/intr-08-2025-1288
Driven by AI: the influence of multiple factors on employee innovation behavior
Yang, Y., Xi, G., Zhang, L., Chen, Q., Lu, Q., & Wang, Y. (2026) · Human Resource Development International · doi:10.1080/13678868.2026.2734762
Jin, G. H., Luo, Y., & Yang, Q. (2026) · Systems · doi:10.3390/systems14091177
Zhang, G., Zhao, W., & Wang, Z. (2026) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-03-2026-0486
Research on the influence mechanism of AI developmental feedback on job crafting
Ren, P., & Yan, Y. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107833
Abusaadah, L., Alias, M., & Ismail, N. (2026) · Studies in big data · doi:10.1007/978-3-032-20412-7_28
Yoo, S. J., & Choi, J.-H. (2026) · Human Resource Development Review · doi:10.1177/15344843261491397
AI or human steering: unveiling the impact of collaborative systems on employee AI crafting
Chen, M., Cai, Y., Cheng, B., & Dong, Y. (2026) · Baltic Journal of Management · doi:10.1108/bjm-10-2025-0889
Vuong, L. T., Nguyen, P. V., Vo, N. N. Y., Vo, H. T., & Ahmed, Z. U. (2026) · International journal of organizational analysis · doi:10.1108/ijoa-12-2025-6345
Mutual Enhancement: Human–AI Collaboration and Corporate Carbon Emission Performance
Ma, Q., & Wu, J. (2026) · Sustainability · doi:10.3390/su18199843
Dondapati, A., & Dehury, R. K. (2026) · Journal of Health Organization and Management · doi:10.1108/jhom-08-2024-0323
Wu, J., Liu, Y. "., Panwang, Y., & Liao, L. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2734055
Nair, K. V., & Jayasimha, K. R. (2026) · Service Industries Journal · doi:10.1080/02642069.2026.2740555
Lin, Q.-J., & He, L. (2026) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2026.101167
Key Concepts Regarding the Ethical Implications of Artificial Intelligence: A Review
ADEMIJU, O. (2026) · Journal International Review of Research Studies · doi:10.66104/724edx15
Nguyen, T., Nguyen, T. Q., Hoang, G. T., & Sabani, A. (2026) · Industrial Management & Data Systems · doi:10.1108/imds-11-2025-1647
Jiang, J., Liang, S., & Chen, J. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1954368
“Within this framework, AI trust is conceptually defined as individuals’ positive perceptions of AI and its potential impacts on their roles and responsibilities (Chowdhury et al., 2022).”
InfluentialHuman-AI Collaboration and Cognitive Augmentation
Tran, D. L. A., & Dinh, L. N. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-1488-2.ch012
Reshaping Human and Organizational Resources Through Artificial Intelligence
Mitharia, R. K., Tripathi, R., & Prastyanti, R. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9868-6.ch001
Frugal geeks: how founder knowledge boosts performance through bricolage and innovation
Dangui, R. V. B., dos Santos, A. M., & Gonçalo, C. R. (2026) · Innovation & Management Review · doi:10.1108/inmr-12-2023-0234
Willemsen, F., Hopp, C., Mütze‐Niewöhner, S., & Nitsch, V. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1824712
Yang, S., Vishnoi, S. K., Mehrotra, A., Albishri, N. A., & Rácz, I. P. (2026) · Journal of Enterprise Information Management · doi:10.1108/jeim-11-2025-1129
Deniz, V. (2026) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub1517.c6107
Zia, M. Q., Ramish, M. S., Shahid, M., & Muavia, M. (2026) · Knowledge and Process Management · doi:10.1002/kpm.70164
Leading Intelligent Hospitality
Subrahmanyam, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-0955-0.ch008
A study of the impact of AI-employee collaboration on employee innovation behavior
Guanyu, Y., & Chenchen, N. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1892175
Chen, Y.-T., & Abdelaziz, F. B. (2026) · Business Strategy and the Environment · doi:10.1002/bse.71757
Artificial intelligence in leadership discourse (S&P 500 companies)
Petković, M., & Hossan, D. (2026) · The European Journal of Applied Economics · doi:10.5937/ejae23-63961
“The central question arises: how can leaders maintain human-centric approaches amidst the rapid adoption of AI technology (Chowdhury et al. , 2022)?”
Sigamoney, C. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1017881
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