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  • 标题:Developing a Psychometric Model for E-Hailing Jobs to Boost Malaysian B40 Income
  • 本地全文:下载
  • 作者:Muhamad Khalil Omar ; Azimah Daud.Zaimy Johana Johan ; Ainie Hairianie Aluwi
  • 期刊名称:International Journal of Academic Research in Business and Social Sciences
  • 电子版ISSN:2222-6990
  • 出版年度:2019
  • 卷号:9
  • 期号:3
  • 页码:1460-1472
  • DOI:10.6007/IJARBSS/v9-i3/5869
  • 语种:English
  • 出版社:Human Resource Management Academic Research Society
  • 摘要:The government’s incentive to encourage the low income group of B40 Malaysians to become ridesharing or e-haling drivers has given the opportunity for the group to purchase new cars with RM 4,000 rebate each. The incentive is anticipated to boost job opportunities for B40 Malaysians in becoming high-income nation by year 2020. However, till to date, the research on preferences for Malaysian citizens to opt for ridesharing job is still largely unexplored and the specification of ridesharing job is yet to be determined. Hence, this study aims to explore the factors of becoming a ridesharing driver and further develop its job specifications model. The study will employ qualitative methods of in-depth interview and focused ethnography, as well as proposing a psychometrics model for the e-haling drivers. It is expected to assist policy makers in understanding holistically the current job scenario of ridesharing drivers in order to formulate the policies, incentives and development programs. Moreover, this study will ascertain the preference and specification of ridesharing jobs in effectively attracting ridesharing workforce to enhance the B40 segment's socio-economic status. The research will also contribute to the development of sustainable transportation industry, which is one of the current national priority sectors. Similarly, by understanding the competency of e-haling drivers, effective strategies will be undertaken to ensure efficient e-haling services thus reducing private car consumption towards sustainable environment and economy.
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