Main Article Content

Abstract

This research aimed to explore the rationality behind the choice of Kupang City residents to become online motorcycle taxi drivers, investigating their management of work time and conducting interviews with relevant informants. Qualitative research methods were employed, utilizing a descriptive research design to examine natural phenomena, with the researcher serving as the primary instrument. Data collection involved observation, interviews, and documentation. The findings revealed several key points: Firstly, there was minimal competition in 2018, coinciding with the rise of Grab's popularity in Kupang City. Secondly, the flexibility of working hours was highlighted, allowing drivers to operate at their convenience, day or night. Thirdly, income emerged as a significant factor, contributing to meeting the drivers' financial needs. It was observed that online motorcycle taxi drivers come from diverse backgrounds, including lecturers and office employees, with some relying on this work as their primary source of income while others consider it a supplementary endeavor.

Keywords

Competition Online taxi Taxi driver

Article Details

How to Cite
Muhammad Usman, S., Ahmad, A., Purnamasari, H., Salem, M. A., & Sulisworo, D. (2024). The Rationality Behind the Choice of Kupang City Residents to Become Online Motorcycle Taxi Drivers. Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton, 10(2), 493–503. https://doi.org/10.35326/pencerah.v10i2.5176

References

  1. Abdul, S. and Hertina, D. (2022). The influence of work motivation and education level on employee performance at online ojek drivers pt.application karya anak bangsa/pt.go-jek bandung. Kontigensi Jurnal Ilmiah Manajemen, 10(1), 59-66. https://doi.org/10.56457/jimk.v10i1.244
  2. Aghion, P., Bloom, N., Blundell, R., Griffith, R., & Howitt, P. (2005). Competition and innovation: an inverted-u relationship*. The Quarterly Journal of Economics, 120(2), 701-728. https://doi.org/10.1162/0033553053970214
  3. Bakar, M., Norhisham, S., Katman, H., Fai, C., Azlan, N., & Samsudin, N. (2022). Service quality of bus performance in Asia: a systematic literature review and conceptual framework. Sustainability, 14(13), 7998. https://doi.org/10.3390/su14137998
  4. Bezar, S., Noreen, M., & Ali, R. (2021). Rational choice theory: an economic analysis of hardy's the return of the native. Global Economics Review, VI(IV), 94-104. https://doi.org/10.31703/ger.2021(vi-iv).08
  5. Chiam, M., Soutar, G., & Yeo, A. (2008). Online and off‐line travel packages preferences: a conjoint analysis. International Journal of Tourism Research, 11(1), 31-40. https://doi.org/10.1002/jtr.679
  6. Cholily, V. (2022). Analysis of the effect of working hours, type of vehicle, age, and education on income for formal and informal workers. Jurnal Indonesia Sosial Sains, 3(3), 507-526. https://doi.org/10.36418/jiss.v3i3.563
  7. Damayanti, T., Pradipta, J., & Susanto, A. (2019). Respiratory symptoms and lung function among online motorcycle taxi drivers. Chest Journal, 156(4), A863. https://doi.org/10.1016/j.chest.2019.08.821
  8. Farida, U. (2020). The effect of flexible working arrangements on work engagement of online motorcycle taxi drivers. Psychological Research and Intervention, 3(2), 92-99. https://doi.org/10.21831/pri.v3i2.42196
  9. Ghisellini, P., Cialani, C., & Ulgiati, S. (2016). A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. Journal of Cleaner Production, 114, 11-32. https://doi.org/10.1016/j.jclepro.2015.09.007
  10. Gordji, M. and Askari, G. (2018). Hyper-rational choice theory.. https://doi.org/10.48550/arxiv.1801.10520
  11. Jittrapirom, P., Caiati, V., Feneri, A., Ebrahimigharehbaghi, S., González, M., & Narayan, J. (2017). Mobility as a service: a critical review of definitions, assessments of schemes, and key challenges. Urban Planning, 2(2), 13-25. https://doi.org/10.17645/up.v2i2.931
  12. Kumar, M., Singh, S., Ghate, A., Pal, S., & Wilson, S. (2016). Informal public transport modes in India: a case study of five city regions. IATSS Research, 39(2), 102-109. https://doi.org/10.1016/j.iatssr.2016.01.001
  13. Liyanage, S., Dia, H., Abduljabbar, R., & Bagloee, S. (2019). Flexible mobility on-demand: an environmental scan. Sustainability, 11(5), 1262. https://doi.org/10.3390/su11051262
  14. Markus, M. (1994). Electronic mail as the medium of managerial choice. Organization Science, 5(4), 502-527. https://doi.org/10.1287/orsc.5.4.502
  15. Maulana, A., Rizki, M., Purwanti, O., & Farda, M. (2022). Exploring the substitution effect of ride-sourcing in commuting and transport station trips: learning from evidence in Bandung city, Indonesia. International Journal on Advanced Science Engineering and Information Technology, 12(5), 1997. https://doi.org/10.18517/ijaseit.12.5.15976
  16. Merkert, R., Bushell, J., & Beck, M. (2020). Collaboration as a service (caas) to fully integrate public transportation – lessons from long distance travel to reimagine mobility as a service. Transportation Research Part a Policy and Practice, 131, 267-282. https://doi.org/10.1016/j.tra.2019.09.025
  17. Pramesti, N. (2021). The correlation of subjective fatigue, negligence, knowledge of safety riding, and length of work on traffic accidents of online motorcycle taxis in Sidoarjo. Indian Journal of Forensic Medicine & Toxicology, 15(3), 3689-3697. https://doi.org/10.37506/ijfmt.v15i3.15871
  18. Simatupang, M., Veronika, E., Irfandi, A., & Garmini, R. (2022). Environmental health risk assessment of air pollutants in online motorcycle taxi drivers in the special capital region of Jakarta. Jurnal Kesehatan Lingkungan, 14(2), 114-121. https://doi.org/10.20473/jkl.v14i2.2022.114-121
  19. Simon, H. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99. https://doi.org/10.2307/1884852
  20. Sitorus, T., Lubis, E., & Alexander, R. (2022). Relationship between body mass index and complaints of low back pain (LBP) on online motorcycle taxi drivers in Medan, Indonesia. Eureka Herba Indonesia, 4(2), 186-189. https://doi.org/10.37275/ehi.v4i2.63
  21. Wang, J., Yang, X., & Deng, Y. (2022). Spatial spillover effect and spatial distribution characteristics of transportation infrastructure on economic growth: a case of the Yangtze river delta. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.900209
  22. Wang, L., Xue, X., Zhou, X., Wang, Z., & Li, R. (2021). Analyzing the topology characteristics and effectiveness of the China city network. Environment and Planning B Urban Analytics and City Science, 48(9), 2554-2573. https://doi.org/10.1177/2399808320983011
  23. Wulani, F., Lindawati, T., & Iswanto, Y. (2022). Work stress of online motorcycle taxi drivers: the role of coworker support, autonomy, and affective occupational commitment. Jurnal Organisasi Dan Manajemen, 18(2), 26-42. https://doi.org/10.33830/jom.v18i2.3409.2022
  24. Xue, Y., Guan, H., Corey, J., Qin, H., & Han, Y. (2015). Bilevel programming model of private capital investment in urban public transportation: case study of Jinan city. Mathematical Problems in Engineering, 2015, 1-12. https://doi.org/10.1155/2015/498121
  25. Xue, Y., Guan, H., Corey, J., Wei, H., & Yan, H. (2017). Quantifying a financially sustainable strategy of public transport: private capital investment considering passenger value. Sustainability, 9(2), 269. https://doi.org/10.3390/su9020269
  26. Zalenski, R. and Raspa, R. (2006). Maslow's hierarchy of needs: a framework for achieving human potential in hospice. Journal of Palliative Medicine, 9(5), 1120-1127. https://doi.org/10.1089/jpm.2006.9.1120