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

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 and Melissa Yu-Fei Chin
Additional contact information
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

A chapter in Proceedings of the 13th International Conference on Business, Accounting, Finance and Economics (BAFE 2025), 2025, pp 90-100 from Springer

Abstract: 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.

Keywords: Artificial Intelligence. Generation X; Generation Y; Human Resource; Malaysia (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-968-1_8

Ordering information: This item can be ordered from
http://www.springer.com/9789464639681

DOI: 10.2991/978-94-6463-968-1_8

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().