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.
Ackaradejruangsri, P. (2015). Insights on GrabTaxi: An Alternative Ride Service in Thailand. Review of Integrative Business and Economics Research, 4(3), 49-61.
Alexander, L., & Gonzalez, M. (2015). Assessing the Impact of Real-time Ridesharing on Urban Traffic using Mobile Phone Data. Presented at the UrbComp ‘15, Sydney, Australia.
Amirul, F. R., & Hands, D. (2016). The Taxi Service Review: Malaysia Context. Mediterranean Journal of Social Sciences, 7(4), 559.
Bicocchi, N., & Mamei, M. (2014). Investigating ride sharing opportunities through mobility data analysis. Pervasive and Mobile Computing, 14, 83- 94.
Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. London: Sage.
Davis, J. (2015). Drive at Your Own Risk: Uber Violates Unfair Competition Laws by Misleading Uberx Drivers about Their Insurance Coverage. Boston College Law Review, 56(3), 1097-1142.
Grund, C. (2011). Job Preferences as Revealed by Employee Initiated Job Changes. (IZA Discussion Paper No. 6127). Bonn, Germany: The Institute for the Study of Labor.
Haider, M. (2015). To Uber or Not to Uber: That is the Question. Unpublished manuscript.
Karjaluoto, H., Püschel, J., Mazzon, J. A., & Mauro C. Hernandez, J. (2010). Mobile banking: Proposition of an integrated adoption intention framework. International Journal of Bank Marketing, 28(5), 389-409.
Keong, W. E. Y. (2015). Factors Influencing Malaysian Taxi Drivers Behavioral Intention to adopt Mobile Taxi Application. International Journal of Economics, Commerce and Management, 3(11), 1-150.
Kholid, F. N., Abdullah, S., Ramly, K., & Mohamad, S. J. A. N. S. (2016). Improving the Taxi Drivers’ Attitudes in Discharging Better Services to the Passengers in Klang Valley, Malaysia. International Journal of Scientific Research, 4(8).
Lee, P. (2016, January 4). 100,000 More Uber Drivers. The Star. Retrieved from http://www. thestar.com.my
Ma, S., Zheng, Y., & Wolfson, O. (2013). T-Share: A Large-Scale Dynamic Taxi Ridesharing Service. Data Engineering (ICDE), Presented at 2013 IIEEE 29th International Conference, 410 - 421.
Michell, J. (1999). Measurement in Psychology. Cambridge: Cambridge University Press. DOI: 10.1017/CBO9780511490040
Pató, B. S. G. (2015). The 3D job description. The Journal of Management Development, 34(4), 420-406.
Sackett, P. R., & Laczo, R. M. (2003). Job and Work Analysis: Industrial and Organizational Psychology. In W. C. Borman, D. R. Ilgen, & R. J. Klimoski (Eds.), Comprehensive Handbook of Psychology, Volume 12: Industrial and Organizational Psychology (Vol. 12). New York, NY: John Wiley and Sons.
Stiglic, M., Agatz, N., Savelsbergh, M., & Gradisar, M. (2015). The benefits of meeting points in ride- sharing systems. Transportation Research Part B: Methodological, 82, 36-53.
Land Public Transport Commission (2015a). Customer Satisfaction Survey Report 2015. Retrieved from www.spad.gov.my/report
Land Public Transport Commission (2015b). General Perception Taxi Service in Malaysia. Retrieved from www.spad.gov.my/report
Smith, V. (2001). Ethnographies of work and the work of ethnographers. In Paul Atkinson, Amanda Coffey, Sara Delamont, John Lofland & Lyn Lofland (Eds.), Handbook of ethnography (pp.220- 233). Thousand Oaks, CA: Sage.
Teubner, T., & Flath, C. M. (2015). The economics of multi-hop ride sharing. Business & Information Systems Engineering, 57(5), 311-324.
Vroom, V. H. (1966). Organizational choice: A study of pre- and post-decision processes. Organizational Behavior and Human Decision Processes, 1, 212- 225.
Wiswall, M., & Zafar, B. (2016). Preference for The Workplace, Human Capital, And Gender. (NBER Working Paper No. 22173). Cambridge, MA: National Bureau of Economic Research.
Zakaria, Z., Husin, Z., & Batau, M. F. A. (2010). Service Quality of Malaysian Public Tranports: A Case Study in Malaysia. Cross-Cultural Communication, 6(2), 84-92.
In-Text Citation: (Omar, Johan, & Aluwi, 2019)
To Cite this Article: Omar, M. K., Johan, A. D. Z. J., & Aluwi, A. H. (2019). Developing a Psychometric Model for E-Hailing Jobs to Boost Malaysian B40 Income. International Journal of Academic Research Business and Social Sciences, 9(3), 1460-1472.
Copyright: © 2019 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
