Determinan Kepuasan Penggunaan Pembayaran Menggunakan OVO Pada Pengguna Transportasi Online
Abstract
In Indonesia, a wide range of cashless payment systems have been combined with a variety of applications, including online commerce, financial technology, and online transportation. Online transportation service providers, on the other hand, continue to accept cash payments for online transportation. In the middle of online transportation service providers' efforts to develop customer happiness initiatives, they must also be prepared to anticipate customer decisions to switch from cash to cashless payment methods. This is something that online transportation service providers should think about. Based on these findings, the purpose of this study is to determine the elements that influence customer satisfaction when applying the OVO payment method for online transportation. This quantitative notion is used in research that involves 146 samples to be analyzed with SMART PLS 3.0. The findings of this study show that the switching load has a substantial impact on youthful users of online transportation in Jakarta's desire to switch payment methods to OVO. Furthermore, this study demonstrates that the switching burden has no substantial impact on young users' happiness with OVO payment methods for online transportation in Jakarta. The study's third finding reveals that online transportation users in Jakarta's desire to switch to an OVO payment method has a substantial impact on their satisfaction with the service. According to the findings, there is a considerable effect of the desire to switch on user satisfaction, which can be used as a signal for service providers to consider attraction elements for switching, such as cheaper promotional programs than competitors.
References
Abdullah, A., Ismail, M. M., & Albani, A. (2018). At-Risk Generation Z: Values, Talents and Challenges. International Journal of Asian Social Science, 8(7), 373–378. https://doi.org/10.18488/journal.1.2018.87.373.378
Ali, G. A., Hilman, H., & Gorondutse, A. H. (2020). Effect of entrepreneurial orientation, market orientation and total quality management on performance Evidence from Saudi SMEs. Benchmarking: An International Journal, 27(4), 1503–1531. https://doi.org/10.1108/BIJ-08-2019-0391
Antón, C., Camarero, C., & Carrero, M. (2007). The mediating effect of satisfaction on consumers’ switching intention. Psychology & Marketing, 24(6), 511–538. https://doi.org/10.1002/mar.20171
Aydin, S., Özer, G., & Arasil, Ö. (2005). Customer loyalty and the effect of switching costs as a moderator variable: A case in the Turkish mobile phone market. Marketing Intelligence & Planning, 23(1), 89–103. https://doi.org/10.1108/02634500510577492
Barati, M., Taheri-Kharameh, Z., Farghadani, Z., & Rásky, É. (2019). Validity and Reliability Evaluation of the Persian Version of the Heart Failure-Specific Health Literacy Scale. International Journal of Community Based Nursing and Midwifery, 7(3), 222–230. https://doi.org/10.30476/IJCBNM.2019.44997
Bitner, M. J. (1990). Evaluating Service Encounters: The Effects of Physical Surroundings and Employee Responses. Journal of Marketing, 54(2), 69–82. https://doi.org/10.2307/1251871
Blut, M., Beatty, S. E., Evanschitzky, H., & Brock, C. (2014). The impact of service characteristics on the switching costs-customer loyalty link. Journal of Retailing, 90(2), 275–290. https://doi.org/10.1016/j.jretai.2014.04.003
Chang, H. H., & Chen, S. W. (2008). The impact of customer interface quality, satisfaction and switching costs on e-loyalty: Internet experience as a moderator. Computers in Human Behavior, 24(6), 2927–2944. https://doi.org/10.1016/j.chb.2008.04.014
Chang, I.-C., Liu, C.-C., & Chen, K. (2013). The push, pull and mooring effects in virtual migration for social networking sites. Information Systems Journal, 24(4), 323–346. https://doi.org/10.1111/isj.12030
Chebat, J.-C., Davidow, M., & Borges, A. (2011). More on the role of switching costs in service markets: A research note. Journal of Business Research, 64(8), 823–829. https://doi.org/10.1016/j.jbusres.2010.10.003
Christian, M., Dewi, D., Rembulan, G. D., Indriyarti, E. R., Wibowo, S., & Yuniarto, Y. (2021). Business Performance Determinants of Salted Fish Distribution in Kapuk During the COVID-19. Journal of Distribution Science, 19(6), 29–39. https://doi.org/10.15722/jds.19.6.202106.29
Christian, M., Haris, K., Indriyarti, E. R., Wibowo, S., & Sunarno, S. (2021). Service Distribution Strategy on Business Performance of Padang Restaurants in North Jakarta. Journal of Distribution Science, 19(12), 57–69. https://doi.org/10.15722/jds.19.12.202112.57
Christian, M., Pardede, R., & Indriyarti, E. R. (2022). Generation Z in Jakarta’s Attitude Towards COVID-19 Ad Distribution on YouTube. Journal of Distribution Science, 20(3), 13–22. https://doi.org/10.15722/jds.20.03.202203.13
Cronin, J. J., & Taylor, S. A. (1992). Measuring Service Quality: A Reexamination and Extension. Journal of Marketing, 56(3), 55–68. https://doi.org/10.2307/1252296
Dolot, A. (2018). The characteristic of Generation Z. E-Mentor, 44–50. https://doi.org/10.15219/em74.1351
Edward, M., & Sahadev, S. (2011). Role of switching costs in the service quality, perceived value, customer satisfaction and customer retention linkage. Asia Pacific Journal of Marketing and Logistics, 23(3), 327–345. https://doi.org/10.1108/13555851111143240
Hair, J. F., Anderson, R. E., & Black, W. C. (2014). Multivariate Data Analysis (7th ed.). Pearson Education Limited.
Jones, M. A., Reynolds, K. E., & Mothersbaugh, D. L. (2007). The Positive and Negative Effects of Switching Costs on Relational Outcomes. Journal of Service Research, 9(4), 335–355. https://doi.org/10.1177/1094670507299382
Kuo, R.-Z. (2020). Why do people switch mobile payment service platforms? An empirical study in Taiwan. Technology in Society, 62, 1–16. https://doi.org/10.1016/j.techsoc.2020.101312
Lee, J., Lee, J., & Feick, L. (2001). The impact of switching costs on the customer satisfaction‐loyalty link: mobile phone service in France. Journal of Services Marketing, 15(1), 35–48. https://doi.org/10.1108/08876040110381463
Lehto, X. Y., Park, O.-J., & Gordon, S. E. (2015). Migrating to New Hotels: A Comparison of Antecedents of Business and Leisure travelers’ Hotel Switching Intentions. Journal of Quality Assurance in Hospitality & Tourism, 16(3), 235–258. https://doi.org/10.1080/1528008X.2014.925787
Liang, A. R.-D., Lee, C.-L., & Tung, W. (2014). The role of sunk costs in online consumer decision-making. Electronic Commerce Research and Applications, 13(1), 56–68. https://doi.org/10.1016/j.elerap.2013.10.001
Liu, C.-T., Guo, Y. M., & Lee, C.-H. (2011). The effects of relationship quality and switching barriers on customer loyalty. International Journal of Information Management: The Journal for Information Professionals, 31(1), 71–79. https://doi.org/10.1016/j.ijinfomgt.2010.05.008
Matos, C. A. de, Henrique, J. L., & Rosa, F. de. (2013). Customer reactions to service failure and recovery in the banking industry: the influence of switching costs. Journal of Services Marketing, 27(7), 526–538. https://doi.org/10.1108/JSM-01-2012-0019
Matzler, K., Strobl, A., Thurner, N., & Füller, J. (2015). Switching experience, customer satisfaction, and switching costs in the ICT industry. Journal of Service Management, 26(1), 117–136. https://doi.org/10.1108/JOSM-04-2014-0101
Memon, A. H., & Rahman, I. A. (2014). SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants. The Scientific World Journal, 2014, 1–9. https://doi.org/10.1155/2014/165158
Mojambo, G. A., Tulung, J. E., & Saerang, R. T. (2020). The Influence of Top Management Team (TMT) Characteristics Toward Indonesian Banks Financial Performance During the Digital Era (2014-2018). JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi)., 7(1).
Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’ expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058
Silalahi, R. M. P., Christian, M., Fensi, F., & Rembulan, G. D. (2022). Menelisik Problematika Kursus Bahasa Asing di Era Pandemi Covid-19: Program Pengayaan Kepada Pemilik Kursus Bahasa Asing Intensif. Jurnal Pengabdian Dan Kewirausahaan, 6(1), 1–9. https://doi.org/10.30813/jpk.v6i1.3161
Yang, S. (2015). Understanding B2B customer loyalty in the mobile telecommunication industry: a look at dedication and constraint. Journal of Business & Industrial Marketing, 30(2), 117–128. https://doi.org/10.1108/JBIM-05-2013-0105
Yussof, F. M., Harun, A., Norizan, S., Durani, N., Jamil, I., & Salleh, S. M. (2018). The influence of social media consumption on gen Z consumers’ attitude. Journal of Fundamental and Applied Sciences, 10(65), 1288–1299. https://doi.org/10.4314/jfas.v10i6s.86
Zhou, T. (2015). An Empirical Examination of Users’ Switch from Online Payment to Mobile Payment. International Journal of Technology and Human Interaction, 11(1), 55–66. https://doi.org/10.4018/ijthi.2015010104
Zhou, T., & Lu, Y. (2011). Examining Postadoption Usage of Mobile Services From a Dual Perspective of Enablers and Inhibitors. International Journal of Human–Computer Interaction, 27(12), 1177–1191. https://doi.org/10.1080/10447318.2011.565717