The Influence of Technology Stressors, AI Anxiety, and Digital Leadership on AI Adoption Intention: Examining the Mediating Role of Technical Self-Efficacy and the Moderating Effect of an Innovative Culture

Authors

  • Muhammad Sohail Javaid Research Associate, Superior University
  • Muhammad Adnan Riaz M.phil (Business Management), University of Punjab
  • Rana Basharat Faraz Student, Master`s Degree in Business Management, Vilnius University
  • Aisha Sajjad Kinnaird College for Women University
  • Hafiz Nabeel Ahamad Assistant Manager, Lahore Business School, The University of Lahore

Abstract

This study examines the impact of demographic factors, specifically gender and age, on the adoption of Artificial Intelligence (AI). The increasing integration of AI technologies into demands in different areas require how the different demographic groups grasp these innovations, as well as how they embrace them. The answer was gathered by surveying 300 respondents of different ages and gender groups to gauge their views and attitudes regarding the adoption of AI, feelings of confidence and receptiveness to new technologies. The findings indicate that there is a big influence of gender on the adoption of AI whereby the female respondents had a greater inclination of adopting AI as opposed to male respondents. Another independent variable is age, and results demonstrated that younger participants (under the age of 30) are more likely to be willing to adopt AI technologies as opposed to their older counterparts. Regression analysis also revealed that confidence in technology is one of the significant predictors of desire to work with AI as it explains 45 percent of variance in adoption. Also, the results indicated a strong relationship between gender and AI adoption which revealed how there are differences in technology usage depending on gender. The proposed research will contribute to the research literature by offering new knowledge regarding the role of demographic factors in the intention of adopting the AI technologies. It emphasizes the necessity to adopt more specific strategies of AI implementation that take into account these demographic characteristics to increase its usage. The next study should introduce causality ties between these factors and consider additional sub-demographic groups in order to narrow down the missing links in the AI adoption paradigm and strategies.

Keywords; AI, AI Anxiety, Technical Self-Efficacy, Digital Leaderships, Innovative Culture, Technological Stressor, AI Adoption Intention

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Published

2025-09-02

How to Cite

Muhammad Sohail Javaid, Muhammad Adnan Riaz, Rana Basharat Faraz, Aisha Sajjad, & Hafiz Nabeel Ahamad. (2025). The Influence of Technology Stressors, AI Anxiety, and Digital Leadership on AI Adoption Intention: Examining the Mediating Role of Technical Self-Efficacy and the Moderating Effect of an Innovative Culture. `, 4(01), 3422–3439. Retrieved from https://assajournal.com/index.php/36/article/view/824

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