Abdul Rahim, Zulhasni and Kamaliah, J. and Muhamad Yusoff, Muhamad Roslan and Wan Mohamad Ali, Wan Md. Syukri (2020) A review of talent adaptive concept and conceptual framework of accelerated industry4WRD talent adaptation in Malaysia. Journal of Advanced Research in Business and Management Studies, 21 (1). pp. 10-18. ISSN 2462-1935
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Official URL: http://dx.doi.org/10.37934/arbms.21.1.1018
Abstract
Effective to current practice in the growth of talent by versatility, the companies require expertise to work in different divisions; subsidiaries; or departments; after three to five years’ operating in a specific position, upon request for relocation or promotional activities. Nevertheless, the transfer to work requires specific talent to learn new activities and procedures through adaptation through reading over administrative tasks, as well as to gain technical expertise such as Industry 4.0, which is typically learned by being on the job and takes longer before the talent becomes fully competent to conduct its tasks linked to Industry 4.0 areas. Use eight-dimensional adaptive efficiency as the foundation, this study intends to analysis and to clarify the critical factors in Industry 4.0 job adaptation as well as to create an effective structure that accelerates the cycle of talent adaptation. This framework is expected to contribute to Malaysia Industry4WRD strategy on ‘People’ shift factor and supplement its two aspects of Personal Competence Growth and Top Management Technology Savviness. The study would examine a case study on Malaysian industries and use a semi-structured interview with selected respondents to establish the accelerated proposed adaptation mechanism for Malaysian industry talent.
Item Type: | Article |
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Uncontrolled Keywords: | talent management, industry4WRD, industry 4.0 |
Subjects: | H Social Sciences > HD Industries. Land use. Labor |
Divisions: | Malaysia-Japan International Institute of Technology |
ID Code: | 97608 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 21 Oct 2022 01:40 |
Last Modified: | 21 Oct 2022 01:40 |
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