Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66927
Volume:
10 |
8 |
Aug 2026
Pages:
1-9
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Commerce and Management Studies
Adikavi Nannaya University
Lecturer in Department of Commerce
ABN & PRR College, Kovvur.
Artificial Intelligence (AI) is transforming organizational processes, decision-making, and employee work experiences across industries. As organizations increasingly integrate AI technologies into daily operations, employee attitudes toward AI have emerged as a critical determinant of successful implementation. Positive employee attitudes can accelerate adoption and enhance organizational performance, while negative perceptions may lead to resistance, reduced trust, and implementation failure. This review article synthesizes contemporary literature on employee attitudes toward AI adoption in organizations. The review examines the conceptual foundations of employee attitudes, theoretical frameworks explaining AI acceptance, factors influencing employee perceptions, benefits and challenges associated with AI adoption, and organizational strategies that promote positive employee engagement with AI technologies. Findings indicate that employee attitudes are influenced by perceived usefulness, trust, organizational support, technological anxiety, job security concerns, and AI literacy. The review concludes that successful AI adoption requires a human-centred approach that balances technological innovation with employee well-being, transparency, and continuous learning. This article examines employee perceptions toward AI adoption in organizations, the factors influencing these perceptions, common concerns and opportunities, and strategies organizations can use to foster positive attitudes toward AI.
KEYWORDS
Employee perception plays a decisive role in the success of AI adoption within organizations. While employees recognize the potential of AI to enhance productivity, innovation, and decision-making, concerns regarding job security, trust, privacy, and technological anxiety continue to shape attitudes toward adoption. Research consistently demonstrates that perceived usefulness, trust, organizational support, and employee involvement significantly influence acceptance of AI technologies. Organizations that prioritize transparent communication, training, ethical governance, and human-centered implementation strategies are more likely to achieve successful AI integration while maintaining employee trust and engagement.
1. Nguyen, P., Watson, G. P., Barnes, D., Agrawal, S., Schuster, A. M., & Cotten, S. R. (2026). Navigating Workplace AI Adoption: The Influence of Perceptions and Affective Attitudes on Employees' Intentions to Use AI at Work. Journal of Management & Organization. 2. Chiu, Y. T., Zhu, Y. Q., & Corbett, J. (2021). In the Hearts and Minds of Employees: A Model of Pre-Adoptive Appraisal Toward Artificial Intelligence in Organizations. International Journal of Information Management. 3. Suseno, Y., Hudik, M., Fang, E. S., & Guo, Z. (2020). Employee Attitudes, Technological Anxiety, and Change Readiness for Artificial Intelligence Adoption. Academy of Management Proceedings.) 4. Bagočiūnaitė, R., & Endriulaitienė, A. (2026). Understanding Employee Attitudes Toward Artificial Intelligence in the Workplace: A Systematic Review of Attitude Definitions and Measurements. Business: Theory and Practice. 5. AI Transformation in Working Life: A Systematic Review of Usage and Attitudes Towards AI Among Workers (2026). Digital Business. 6. KPMG & University of Melbourne. Trust, Attitudes and Use of Artificial Intelligence: Global Study 2025. Summary reported by Business Insider. ( 7. Bagočiūnaitė, R., & Endriulaitienė, A. (2026). Understanding employee attitudes toward artificial intelligence in the workplace: A systematic review of attitude definitions and measurements. Business: Theory and Practice, 27(1), 168–178. 8. Bankins, S., Formosa, P., Griep, Y., & Richards, D. (2024). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(4), 601–628. 9. Nguyen, P., Watson, G. P., Barnes, D., Agrawal, S., Schuster, A. M., & Cotten, S. R. (2026). Navigating workplace AI adoption: The influence of perceptions and affective attitudes on employees' intentions to use AI at work. Journal of Management & Organization, 32(4), 1018–1043. 10. Savolainen, I., Ylinen, L., Grönroos, R., et al. (2026). AI transformation in working life: A systematic review of usage and attitudes towards AI among workers. Digital Business, 6(1), 100162.
Publication Date
8/25/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
5
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...