Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics
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AI adoption favors context-based knowledge sharing.
“AI adoption favors context-based knowledge sharing .”
From Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of <scp>AI</scp> applications (2025) · cites this paper as Kar and Kushwaha (2021)
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
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Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · cited 1× · see citing works
“The dependent variable captures the contextual (AI) usage experiential or satisfaction score (Asuncion & Lam, 1995; Venkatesh & Speier, 1999; Venkatesh & Davis, 2000; Venkatesh & Bala, 2008).”
BackgroundDwivedi, 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 · cited 3× · see citing works
“However, automation-augmenta-tion requires the constant collaboration of humans (employees) with the AI solution (Dwivedi et al., 2021; Sharma & Sharma, 2019);.”
BackgroundMethodSelf-citationBounded rationality and organizational learning
Simon, H. A. (1991) · Organization Science · doi:10.1287/orsc.2.1.125 · Cited by 3,028 · see citing works
Algorithms at Work: The New Contested Terrain of Control
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0174 · Cited by 2,732 · see citing works
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“Consequently, AI began attracting more computer science and operation scholars, while management and organization studies focused more on human aspects (Rahwan et al., 2019; Simon, 1987).”
BackgroundInvestigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective1
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“This leads to hypothesize that the constant need for manual intervention (Kellogg et al., 2019; Luo et al., 2019) to redefine the KPIs of an AI system might act as a negative factor that could hinder the adoption of AI by a business owner.”
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“The conventional IS lens has dominated the work of scholars understanding the IS adoption from an individual’s perception of how technology is adopted (Kim & Kankanhalli, 2009; Ahuja & Thatcher, 2005; Wang et al., 2013).”
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Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100333 · Cited by 568 · see citing works
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Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes
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Virtual agents and flow experience: an empirical examination of AI-powered chatbots
Baabdullah, A. M., Alalwan, A. A., Algharabat, R. S., Metri, B., & Rana, N. P. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121772 · Cited by 171 · see citing works
Moin, M. F., Behl, A., Zhang, J. Z., & Shankar, A. (2025) · Information Systems Frontiers · doi:10.1007/s10796-024-10561-3 · Cited by 29 · see citing works
AI and sustainable business model innovation: A systematic literature review
Sharma, A., Khokhar, M., Duan, Y., Bibi, M., Sharma, R., & Muhammad, B. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101204 · Cited by 19 · see citing works
- Authors
- Kar, A. K., & Kushwaha, A. K.
- Affiliations
- Indian Institute of Technology Delhi (IN)
- Corresponding author
- Kar, Arpan Kumar
- Venue
- Information Systems Frontiers
- Published
- 2021-11-09
- Volume
- 25
- Issue
- 4
- Pages
- 1351-1374
- ISSN
- 1387-3326 (ISSN-L)
- 1572-9419
- OpenAlex
- W3211574606
- Cited by
- 182
- References
- 15
- Citations by year
- 2026: 38 · 2025: 54 · 2024: 42 · 2023: 29 · 2022: 19
- FWCI
- 7.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Information Systems Frontiers (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- artificial intelligence adoption, business adoption, adoption facilitators, barriers to adoption, social media opinion, big data analytics, organizational factors, fear of failure, experiential learning, innovation, adaptability
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