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Bridging Generational Divides in AI Utilization: Insights into Self-Efficacy and Adoption Among Gen X and Gen Y within Malaysian Human Resource Consultancies

In: Proceedings of the 13th International Conference on Business, Accounting, Finance and Economics (BAFE 2025)

Author

Listed:
  • Thiam-Yong Kuek

    (Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business & Finance)

  • Yuen-Onn Choong

    (Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business & Finance)

  • Saw-Chin Khor

    (Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business & Finance)

  • Lit-Cheng Tai

    (Universiti Tunku Abdul Rahman, Faculty of Accountancy & Management)

  • Sin-Yee Lee

    (Universiti Tunku Abdul Rahman, Faculty of Accountancy & Management)

  • Fitriya Abdul Rahim

    (Universiti Tunku Abdul Rahman, Faculty of Accountancy & Management)

  • Alexander Guan-Meng Tay

    (New Era University College, Faculty of Accountancy, Management & Economics)

  • Bobby Boon-Hui Chai

    (UCSI University Sarawak Campus, Faculty of Business & Management)

  • Timothy Tzen-Vun Yap

    (Heriot-Watt University Malaysia Campus, School of Mathematical & Computer Sciences)

  • Melissa Yu-Fei Chin

    (Crowe Malaysia PLT Kuching Office)

Abstract

This conceptual study examined the impact of artificial intelligence (AI) self-efficacy on attitudes and intentions to adopt AI among human resource (HR) practitioners in Malaysian HR consultancy firms, with a specific focus on Generations X and Y. Given the rapid expansion of Malaysia’s HR consultancy sector driven by technological advancements and rising demand across industries, understanding AI adoption is considered crucial. The study extended the Technology Acceptance Model (TAM) by introducing AI self-efficacy as a predictor of attitudes toward AI and subsequent adoption intentions. AI self-efficacy, defined as confidence in using AI systems, played a significant role in shaping HR practitioners’ attitudes and behaviours toward AI technologies. A cross-sectional quantitative design will be employed, using partial least squares structural equation modelling (PLS-SEM) to analyse data collected from at least 200 h practitioners across Generation X and Generation Y. The findings will provide valuable insights into how AI self-efficacy influences AI adoption and offers implications for enhancing training programs and organizational support to foster a more positive AI adoption environment in Malaysian HR consultancy firms.

Suggested Citation

  • Thiam-Yong Kuek & Yuen-Onn Choong & Saw-Chin Khor & Lit-Cheng Tai & Sin-Yee Lee & Fitriya Abdul Rahim & Alexander Guan-Meng Tay & Bobby Boon-Hui Chai & Timothy Tzen-Vun Yap & Melissa Yu-Fei Chin, 2025. "Bridging Generational Divides in AI Utilization: Insights into Self-Efficacy and Adoption Among Gen X and Gen Y within Malaysian Human Resource Consultancies," Advances in Economics, Business and Management Research, in: Thurai Murugan Nathan & Abdelhak Senadjki & Hemaniswarri Dewi Dewadas & Siti Nur Amira Othman & Ravi (ed.), Proceedings of the 13th International Conference on Business, Accounting, Finance and Economics (BAFE 2025), pages 90-100, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-968-1_8
    DOI: 10.2991/978-94-6463-968-1_8
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