WHY TRADITIONAL MARKET BUYERS GOING DIGITAL: An Empirical Study on Switching Behavior
##semicolon##
https://doi.org/10.35817/publicuho.v6i2.203##semicolon##
Critical Mass##common.commaListSeparator## Digital Payment##common.commaListSeparator## Easy of Use##common.commaListSeparator## Switching Cost##common.commaListSeparator## Transaction Inconvenience##article.abstract##
This study attempts to provide a strengthened understanding of why people switch from traditional payment to digital payment QRIS (Quick Response Code Indonesian Standard). Grounding on the push, pull, mooring model as framework, I proposed dissatisfaction and transaction incovenience as the push factor, easy of use and critical mass as the pull factor, and switching cost as the mooring factor. I tested the proposed model by conducting a paper-based survey in Surakarta’s traditional market at Center of Java, Indonesia by comprising respondents comprising a total of 150 buyers. The results of PLS-SEM analysis demonstrated that except transaction inconvinience, all the proposed variables have been confirmed. From a theoretical implication, this study offers significant contributions to switching behavior literature by invesitivigating the applicability of the PPM Model in tradiotional market context. From a practical implication, these findings provide useful implications and insights for digital payment brands on how to encourage costumers switching from their traditional payment habits.
##submission.citations##
Bansal, Harvir S, Shirley F. Taylor and Yannik St. James. (2005). Migrating to New Service Providers: Toward Unifying Framework of Consumers' Switching Behaviors, Journal of the Academy of Marketing Science Volume 33, No. 1, pages 96-115.
Chang, H. H., Wong, K.H., and Li, S.Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators, Electronic Commerce Research and Applications, vol. 24, pp. 50-67.
Chang, I.C., Liu, C.C., and Chen, K. (2014). The push, pull and mooring effects in virtual migration for social networking sites, Information Systems Journal, vol. 24, no. 3, pp. 323-346.
Cheng, S., Lee, S.J. and Choi, B. (2019). An empirical investigation of user’s voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework, Computers in Human Behavior, vol. 92, pp. 198-215.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G.A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). Lawrence Erlbaum Associates.
Fahmi, S. (2017). Analisis Perkembangan Riset Pemasaran Tentang Perilaku Konsumen Dalam Melakukan Perpindahan Layanan (Consumer Switching Behavior), Menggunakan Studi Literatur. INOBIS: Jurnal Inovasi Bisnis Dan Manajemen Indonesia, 1(1), 18-31.
Fan, Liu and Zhang, Xiaoping and Rai, Laxmisha and Du, Yuanwei. (2021). Mobile Payment: The Next Frontier of Payment Systems? - an Empirical Study Based on Push-Pull-Mooring Framework. Journal of theoretical and applied electronic commerce research. 16. 179-193. 10.4067/S0718-18762021000200112.
Febriani, N., & Dewi, W. W. A. (2019). Perilaku konsumen di era digital: Beserta studi kasus. Universitas Brawijaya Press.
Hair, J. F., Black, W. C., Babin, B. J., and Anderson, R. E. 2014. Multivariate Data Analysis, Pearson New International Edition.
Henseler, J., Ringle, C. M. & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variancebased structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-35.
Hou, A. C., Shang, R. A., Huang, C. C., and Wu, K. L. (2014). The effects of push-pull-mooring on the switching model for social network sites migration, in Proceedings PACIS, Pacific Asia, p. 64.
Indraditya, M. G. K. (2011). Pengaruh Dimensi Dissatisfaction, Procedural Switching Cost, Financial Switching Cost Dan Personal Loss Costs Pada Intention To Switch (Studi Pada Handphone Nokia Dan Nexian Di Surakarta.
Jung, J., Han, H. and Oh, M. (2017). Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework, Tourism Management, vol. 59, pp. 139-153.
Kaur, Gurjeet and Ritika Sambyal. (2016). Exploring Predictive Switching Factors for Mobile Number Portability. The Journal for Decision Maker, 41(1) 74-95
Lara-Rubio, J., Villarejo-Ramos, A.F. and Liébana-Cabanillas, F. (2020). Explanatory and predictive model of the adoption of P2P payment systems, Behaviour & Information Technology, pp. 1-14.
Lai, J.Y. and Wang, J. (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study, Technological Forecasting and Social Change, vol. 92, pp. 155-167.
Lim, K. B., Yeo, S. F., & Tan, C. C. (2020). Understanding User’ Switching Intention on Mobile Wallet. Journal of Information System and Technology Management, 5 (19), 14- 24.
Lu, His-Peng, and Yu-Shan Wung. 2021. Applying Transaction Cost Theory and Push-Pull-Mooring Model to Investigate Mobile Payment Switching Behaviors with Well-Established Traditional Financial Infrastructure, Journal of Theoretical and Applied Electronic Commerce Research 16, no. 2: 1-21.
Santoso, S., & Kartika, L. N. (2018). Motivasi dan perilaku wisatawan generasi muda saat berwisata di Yogyakarta. Jurnal Riset Manajemen dan Bisnis, 13(1), 47-58.
Tarantang, J., Awwaliyah, A., Astuti, M., & Munawaroh, M. (2019). Perkembangan sistem pembayaran digital pada era revolusi industri 4.0 di indonesia. Jurnal al-qardh, 4(1), 60-75.
Wang, Le & Luo, Xin (Robert) & Yang, Xue & Qiao, Zhilin. (2019). Easy Come or Easy Go? Empirical Evidence on Switching Behaviors in Mobile Payment Applications. Information & Management. 56. 10.1016/j.im.2019.02.005.
Xu, L., Chen, L., Gao, Z., Carranco, L., Fan, X., Shah, N., Diallo, N. and Shi, W. (2020). Supporting blockchain-based cryptocurrency mobile payment with smart devices, IEEE Consumer Electronics Magazine, vol. 9, no. 2, pp. 26-33.
Zhang, H., Lu, Y., Gupta, S., Zhao, L., Chen, A. and Huang, H. (2014). Understanding the antecedents of customer loyalty in the Chinese mobile service industry: a push-pull-mooring framework, International Journal of Mobile Communications, vol. 12, no. 6, pp. 551-577.
##submission.downloads##
##submissions.published##
##issue.issue##
##section.section##
##submission.license##
##submission.copyrightStatement##
##submission.license.cc.by-nc-sa4.footer##- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Every publication is open access for educational purposes, research, and library. Other than the aims mentioned above, the editorial board is not responsible for copyright violations.
Journal Publicuho this work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Copyright ©2022 Author Powered by Public Knowledge Project OJS