Abstract
Managers play key roles in the implementation and integration of artificial intelligence and data analytics for managerial decisions. We surveyed 76 managers to gather data and analyzed it by employing structural equation modeling. The preliminary findings indicate that while possessing the necessary skills and awareness is beneficial to managers' adoption of artificial intelligence and data analytics, factors such as unwillingness to share data, concerns about privacy and security, and professional skepticism are limitations. Furthermore, a significant number of companies do not actively encourage, or mandate training related to artificial intelligence and data analytics. This study contributes to the existing body of literature on technology acceptance by managers and argues that the absence of training and concern regarding privacy and security affect managers’ engagement with artificial intelligence and data analytics. These preliminary findings have broader implications for fostering the adoption of artificial intelligence and data analytics among managers.
Recommended Citation
Jumah, Ahmad, "Factors Influencing Managers’ Adoption of Artificial Intelligence and Data Analytics" (2023). Proceedings of the 2023 Pre-ICIS SIGDSA Symposium. 10.
https://aisel.aisnet.org/sigdsa2023/10