Embedding Virtual Reality in HRM Practices to Enhance Workforce Agility in the Manufacturing Industry

Siew Fong. Lai (), Wan Leng Lim, Meow Yee Foo and Siew Ming Choo
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Siew Fong. Lai: Universiti Tunku Abdul Rahman
Wan Leng Lim: Universiti Tunku Abdul Rahman
Meow Yee Foo: Universiti Tunku Abdul Rahman
Siew Ming Choo: Universiti Tunku Abdul Rahman

A chapter in Proceedings of the 11th International Conference on Business, Accounting, Finance and Economics (BAFE 2023), 2023, pp 111-123 from Springer

Abstract: Abstract As of 2022, Malaysia’s National Business Digital Adoption Index (BDAI) reported an overall average rating of 2.1 out of 5, signifying progressive digital transformation among businesses. Within this background, the manufacturing industry achieved a BDAI score of 2.26, indicating a quicker rate of embracing digitalisation than other industries. Additionally, the Future of Jobs Survey 2023 revealed that resilience, flexibility, and agility are the top skills required from 2023 to 2027. In light of this, human resource management (HRM) practices are vital in reshaping workforce agility, producing a workforce that is competent, flexible, proactive, and adaptable in this dynamic environment. With digitalisation, HRM evolved into digital HRM which necessitates VR applications in its practices. This study aims to fill the gap by investigating the extent to which VR HRM in the recruitment and selection process, talent management and performance evaluation impact workforce agility in the manufacturing industry. Responses from 150 manufacturing firms will be collected via an online questionnaire, applying the convenience sampling method. PLS analysis will be used for data analysis. Research findings could provide valuable insights for firms seeking to integrate VR into sustainable HRM practices to promote workforce agility for competitive advantage. Policymakers could develop HRM policies/strategies for long-term planning.

Keywords: Virtual Reality; Workforce Agility; HRM Practices (search for similar items in EconPapers)
Date: 2023
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DOI: 10.2991/978-94-6463-342-9_9

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