Platform-based transportation company in Indonesia: Perspective brand switching behaviour on Generation Z

Authors

  • Arum Wahyuni Purbohastuti Department of Management, Universitas Pendidikan Indonesia, Bandung, Indonesia Department of Management, Universitas Sultan Ageng Tirtayasa, Serang, Indonesia https://orcid.org/0009-0007-4744-9568
  • Vanessa Gaffar Department of Management, Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Disman Disman Department of Management, Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Chairul Furqon Department of Management, Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Hetty Hassanah Department of Law, Universitas Komputer Indonesia, Bandung, Indonesia https://orcid.org/0009-0006-0612-951X

DOI:

https://doi.org/10.15549/jeecar.v10i6.1507

Keywords:

Switching Behavior (SB), Switching Intention (SI), E-Service Quality (ESQ), Perceived Price (PP), Experience Dissatisfaction (ED)

Abstract

Internet growth and the expansion of platform-based transportation companies in Indonesia are co-occurring. This study attempts to identify the factors that encourage platform-based transportation companies' customers to switch to competing platforms. This quantitative research method employed the Structure Equation Model (SEM) analysis method implemented in Warp PLS 5.0. This study's population comprises platform-based transportation users in Jakarta, the Indonesian capital. Through purposeful sampling, 200 research samples from Jakarta Generation Z were chosen. According to the results of this study, perceived price and experience dissatisfaction influence the Generation Z brand transition into platform-based transportation. In the interim, electronic service quality does not influence Generation Z brand-switching behavior in Indonesia. The relationship between perceived price and experience dissatisfaction with switching behavior is mediated by switching intention. This research contributes to transportation-based platform companies to reduce brand switching, especially among Generation Z.

References

Adibowo, R., Rahadi, R., & Liu, R. (2023). The Implementation of community-based Android application to accommodate public aspiration in economic activities in Indonesia. Journal of Eastern European and Central Asian Research (JEECAR), 10(1), 20-30. https://doi.org/10.15549/jeecar.v10i1.1078 DOI: https://doi.org/10.15549/jeecar.v10i1.1078

Alyavina, E., Nikitas, A., & Njoya, E. T. (2022). Mobility as a service (MaaS): A thematic map of challenges and opportunities. Research in Transportation Business & Management, 43, 100783. https://doi.org/10.1016/j.rtbm.2022.100783 DOI: https://doi.org/10.1016/j.rtbm.2022.100783

Bansal, H. S., Taylor, S. F., & St. James, Y. (2005). “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96-115.https://doi.org/10.1177/0092070304267928 DOI: https://doi.org/10.1177/0092070304267928

Bansal, H. S., & Taylor, S. F. (2002). Investigating interactive effects in the theory of planned behavior in a service‐provider switching context. Psychology & Marketing, 19(5), 407-425. https://doi.org/10.1002/mar.10017 DOI: https://doi.org/10.1002/mar.10017

Beneke, J., & Zimmerman, N. (2014). Beyond private label panache: the effect of store image and perceived price on brand prestige. Journal of Consumer Marketing, 31(4), 301-311. https://doi.org/10.1108/JCM-12-2013-0801 DOI: https://doi.org/10.1108/JCM-12-2013-0801

Bhattacherjee, A., Limayem, M., & Cheung, C. M. (2012). User switching of information technology: A theoretical synthesis and empirical test. Information & Management, 49(7-8), 327-333. https://doi.org/10.1016/j.im.2012.06.002 DOI: https://doi.org/10.1016/j.im.2012.06.002

Chen, A., Lu, Y., & Wang, B. (2017). Customers’ purchase decision-making process in social commerce: A social learning perspective. International Journal of Information Management, 37(6), 627-638. https://doi.org/10.1016/j.ijinfomgt.2017.05.001 DOI: https://doi.org/10.1016/j.ijinfomgt.2017.05.001

Chen, L., & Yang, X. (2019). Using EPPM to Evaluate the Effectiveness of Fear Appeal Messages Across Different Media Outlets to Increase the Intention of Breast Self-Examination Among Chinese Women. Health Communication, 34(11), 1369–1376. https://doi.org/10.1080/10410236.2018.1493416 DOI: https://doi.org/10.1080/10410236.2018.1493416

Chen, Y. H., & Keng, C. J. (2019). Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform. Internet Research, 29(1), 167-193. https://doi.org/10.1108/IntR-09-2017-0343 DOI: https://doi.org/10.1108/IntR-09-2017-0343

Chi, M., et al. (2021). Why travelers switch to the sharing accommodation platforms? A push-pull-mooring framework. International Journal of Contemporary Hospitality Management, 33(12), 4286-4310. https://doi.org/10.1108/IJCHM-02-2021-0253 DOI: https://doi.org/10.1108/IJCHM-02-2021-0253

Fu, J. R. (2011). Understanding career commitment of IT professionals: Perspectives of push–pull–mooring framework and investment model. International Journal of Information Management, 31(3), 279-293. https://doi.org/10.1016/j.ijinfomgt.2010.08.008 DOI: https://doi.org/10.1016/j.ijinfomgt.2010.08.008

Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest research-to-Practice Conference in Adult, Continuing, and community education.

Grail, R. (2011). Names of Generations. Grail Research-Consumers of Tomorrow.

Hsieh, J. K., et al. (2012). Post-adoption switching behavior for online service substitutes: A perspective of the push–pull–mooring framework. Computers in Human Behavior, 28(5), 1912-1920. https://doi.org/10.1016/j.chb.2012.05.010 DOI: https://doi.org/10.1016/j.chb.2012.05.010

Keaveney, S. M. (1995). Customer switching behavior in service industries: An exploratory study. Journal of marketing, 59(2), 71-82. https://doi.org/10.1177/002224299505900206 DOI: https://doi.org/10.1177/002224299505900206

Keil, M., Tan, B. C., Wei, K. K., Saarinen, T., Tuunainen, V., & Wassenaar, A. (2000). A cross-cultural study on escalation of commitment behavior in software projects. MIS quarterly, 299-325. https://doi.org/10.2307/3250940 DOI: https://doi.org/10.2307/3250940

Kuo, R. Z. (2020). Why do people switch mobile payment service platforms? An empirical study in Taiwan. Technology in Society, 62, 101312. https://doi.org/10.1016/j.techsoc.2020.101312 DOI: https://doi.org/10.1016/j.techsoc.2020.101312

Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in human behavior, 25(4), 887-896. https://doi.org/10.1016/j.chb.2009.03.003 DOI: https://doi.org/10.1016/j.chb.2009.03.003

Kurnia Rahayu, S., Budiarti, I., Waluya Firdaus, D., & Onegina, V. (2023). Digitalization and informal MSME: Digital financial inclusion for MSME development in the formal economy. Journal of Eastern European and Central Asian Research, 10(1). https://doi.org/10.15549/jeecar.v10i1.1056. DOI: https://doi.org/10.15549/jeecar.v10i1.1056

Mou, J., & Benyoucef, M. (2021). Consumer behavior in social commerce: Results from a meta-analysis. Technological Forecasting and Social Change, 167, 120734. https://doi.org/10.1016/j.techfore.2021.120734 DOI: https://doi.org/10.1016/j.techfore.2021.120734

Mulley, C. (2017). Mobility as a Services (MaaS)–does it have critical mass?. Transport reviews, 37(3), 247-251. https://doi.org/10.1080/01441647.2017.1280932 DOI: https://doi.org/10.1080/01441647.2017.1280932

Nonet, P., et al. (2017). Law and society in transition: Toward responsive law. Routledge. DOI: https://doi.org/10.4324/9780203787540

Polydoropoulou, A., Pagoni, I., & Tsirimpa, A. (2020). Ready for Mobility as a Service? Insights from stakeholders and end-users. Travel Behaviour and Society, 21, 295-306. https://doi.org/10.1016/j.tbs.2018.11.003 DOI: https://doi.org/10.1016/j.tbs.2018.11.003

Prensky, M. (2001). Digital natives, digital immigrants part 2: Do they really think differently? On the horizon. https://doi.org/10.1108/10748120110424843 DOI: https://doi.org/10.1108/10748120110424843

Sekaran. (2014). Metodologi Penelitian Untuk Bisnis (Research Methods for Business) (4th ed.). Salemba empat.

Shin, D. H. (2014). Measuring the quality of smartphones: development of a customer satisfaction index for smart services. International Journal of Mobile Communications, 12(4), 311-327. https://doi.org/10.1504/IJMC.2014.063650 DOI: https://doi.org/10.1504/IJMC.2014.063650

Sladek, S., & Grabinger, A. (2014). Gen Z. Introducing the first Generation of the 21st Century. XYZ University.

Sun, Y., Liu, D., Chen, S., Wu, X., Shen, X. L., & Zhang, X. (2017). Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework. Computers in Human Behavior, 75, 727-738. https://doi.org/10.1016/j.chb.2017.06.014 DOI: https://doi.org/10.1016/j.chb.2017.06.014

Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538-562. https://doi.org/10.1108/IntR-05-2016-0117 DOI: https://doi.org/10.1108/IntR-05-2016-0117

Tang, Z., & Chen, L. (2020). An empirical study of brand microblog users’ unfollowing motivations: The perspective of push-pull-mooring model. International Journal of Information Management, 52, 102066. https://doi.org/10.1016/j.ijinfomgt.2020.102066 DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102066

Tapscott, D. (2013). Grown up digital: Yang muda yang mengubah dunia. Gramedia Pustaka Utama.

Utriainen, R., & Pöllänen, M. (2018). Review on mobility as a service in scientific publications. Research in Transportation Business & Management, 27, 15-23. https://doi.org/10.1016/j.rtbm.2018.10.005 DOI: https://doi.org/10.1016/j.rtbm.2018.10.005

van't Veer, R., Annema, J. A., Araghi, Y., de Almeida Correia, G. H., & van Wee, B. (2023). Mobility-as-a-Service (MaaS): A latent class cluster analysis to identify Dutch vehicle owners’ use intention. Transportation Research Part A: Policy and Practice, 169, 103608. https://doi.org/10.1016/j.tra.2023.103608 DOI: https://doi.org/10.1016/j.tra.2023.103608

Xu, Y. C., Yang, Y., Cheng, Z., & Lim, J. (2014). Retaining and attracting users in social networking services: An empirical investigation of cyber migration. The Journal of Strategic Information Systems, 23(3), 239-253. https://doi.org/10.1016/j.jsis.2014.03.002 DOI: https://doi.org/10.1016/j.jsis.2014.03.002

Yu, L., Cao, X., Liu, Z., & Wang, J. (2018). Excessive social media use at work: Exploring the effects of social media overload on job performance. Information technology & people, 31(6), 1091-1112. https://doi.org/10.1108/ITP-10-2016-0237 DOI: https://doi.org/10.1108/ITP-10-2016-0237

Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision support systems, 54(2), 1085-1091. https://doi.org/10.1016/j.dss.2012.10.034 DOI: https://doi.org/10.1016/j.dss.2012.10.034

Published

2023-11-05

How to Cite

Purbohastuti, A. W., Gaffar, V., Disman, D., Furqon , C., & Hassanah, H. (2023). Platform-based transportation company in Indonesia: Perspective brand switching behaviour on Generation Z. Journal of Eastern European and Central Asian Research (JEECAR), 10(6), 867–876. https://doi.org/10.15549/jeecar.v10i6.1507