The Role of Digital Readiness in Adopting Artificial Intelligence Requirements: An Exploratory Study among Administrative Leaders in Private Universities in Kurdistan Iraq
DOI:
https://doi.org/10.31272/jae.i149.1410Keywords:
Digital Readiness , Dimensions of Digital Readiness, Artificial Intelligence RequirementsAbstract
The study aimed to Investigate the role of digital readiness among administrative leaders in adopting the requirements of artificial intelligence (AI). The significance of this research stems from the growing importance of AI adoption in business activities in general, and particularly within private universities. The study sought to assess the level of digital readiness among administrative leadership in private universities in the Kurdistan Region and analyze how its dimensions impact the adoption of AI requirements. A descriptive-analytical approach was employed to examine the study variables. The research population included deans, head of departments and administrative unit managers in colleges affiliated with private universities in the region. The primary data collection tool was a questionnaire, of which 175 copies were distributed. A total of 144 valid responses were retrieved and used for analysis, representing the study sample. The researchers utilized various statistical tools, including descriptive statistics, correlation coefficients, and regression analysis.
The study reached several conclusions, most notably that AI adoption in private universities is closely linked to the digital readiness of their administrative leadership. This suggests that the likelihood of adopting AI increases when digital readiness is present. Additionally, digital readiness was found to play a critical role in supporting AI adoption. Among the dimensions of digital readiness, shared beliefs ranked highest in influencing AI adoption, followed by organizational capabilities. The study recommends focusing on methods that enhance digital readiness among administrative leaders to facilitate the adoption of AI requirements. It also calls for future research to explore the impact of other variables on AI adoption.
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