The Influence of AI Use on Innovativeness in Higher Education Institutions
The Influence of AI Use on Innovativeness in Higher Education Institutions

Summary/Abstract: Purpose: The aim of the study is to analyse the influence of AI tools use on innovativeness through Employees' Dynamic Capabilities (EDC) among Higher Education Institutions (HEIs), taking into account regulation concerning AI and its possible moderating impact on that relation. Design/methodology/approach: A critical literature review was combined with empirical research. The empirical research was conducted using a survey questionnaire on a group of 529 university employees from four European countries: France, Poland, Spain, and Great Britain. To ensure a diverse dataset, responses were collected from multiple sources, including an internal collaborative network and a purchased respondent panel. Data collection was carried out using the CAWI method via SurveyMonkey. Structural equation modelling (SEM) was used to examine the direct and indirect relationships between AI usage, EDC, and innovativeness. The study also incorporated moderation analysis to assess the role of the regulation of AI within institutions in shaping these relationships. Findings: The analysis showed that the use of AI tools has a positive impact on innovation in HEIs, but not directly. The key role in this relationship as a mediator is played by EDC, i.e., development orientation, proactivity, and adaptation to change. University employees with dynamic capabilities will be able to use the potential of AI to increase the level of innovation by integrating tools with organizational processes. In addition, the study showed that regulation of the use of AI tools (moderating role) are also important in this relationship. Regulation that is too strict or is poorly adapted to the goals of the organization reduce the positive impact of the use of AI tools on innovation in HEIs by EDC. Properly designed rules for the use of AI in everyday work support innovation, building a favourable environment for experimenting with ethics. Research limitations/implications: The study used a limited sample (both geographically and institutionally). And the data itself was collected at a single point in time. Future studies should incorporate longitudinal studies and explore additional moderating factors to deepen understanding of the issues studied.

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