Journal of Finance and Islamic Banking
Full Lenght Article
Switching Behaviour in Using Islamic Digital Banks in Indonesia: Push-Pull Mooring Model
Abstract
This study aims to analyse the factors influencing customers’ switching behaviour in the use of digital banking from the perspective of the PPM model. A self-administered questionnaire was used to collect the data. PLS-SEM was used to analyse the data. The results showed that alternative attractiveness, response to a service failure, and push factors positively influence switching intention behaviour. Switching cost as a mooring factor positively influences switching intention behaviour. Meanwhile, switching intention influences switching behaviour. However, alternative attractiveness and involuntary switching as pull factors negatively affect switching intention behaviour. Several studies have been conducted on switching intention behaviour in the use of digital banking products and services. However, studies on the switching intention behaviour of Islamic digital bank products and services are scarce. This study contributes to the literature on switching behaviour in the use of Islamic digital banks.
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References
Calvo-Porral, C., Faíña-Medín, A., & Nieto-Mengotti, M. (2017). Satisfaction and switching intention in mobile services: Comparing lock-in and free contracts in the Spanish market. Telematics and Informatics, 34(5), 717–729. https://doi.org/10.1016/j.tele.2016.08.022
Chang, I. C., Liu, C. C., & Chen, K. (2014). 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
Charm, T., Coggins, B., Robinson, K., & Wilkie, J. (2020). McKinsey Marketing & Sales Practice. (August).
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
Cheng, S., Lee, S. J., & Choi, B. (2019). An empirical investigation of users’ voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework. Computers in Human Behavior, 92(February 2018), 198–215. https://doi.org/10.1016/j.chb.2018.10.035
Chuah, S. H. W., Marimuthu, M., Kandampully, J., & Bilgihan, A. (2017). What drives Gen Y loyalty? Understanding the mediated moderating roles of switching costs and alternative attractiveness in the value-satisfaction-loyalty chain. Journal of Retailing and Consumer Services, 36(December 2016), 124–136. https://doi.org/10.1016/j.jretconser.2017.01.010
Clemes, M. D., Gan, C., & Zhang, D. (2010). Customer switching behaviour in the Chinese retail banking industry developing overseas networks ; 28(7), 519–546. https://doi.org/10.1108/02652321011085185
Fang, Y. H., & Tang, K. (2017). Involuntary migration in cyberspaces: The case of MSN messenger discontinuation. Telematics and Informatics, 34(1), 177–193. https://doi.org/10.1016/j.tele.2016.05.004
Fu, S., Li, H., & Liu, Y. (2021). Why discontinue Facebook usage? An empirical investigation based on a push–pull–mooring framework. Industrial Management and Data Systems, 121(11), 2318–2337. https://doi.org/10.1108/IMDS-12-2020-0709
Gerrard, P., & Cunningham, J. B. (2004). Consumer switching behavior in the Asian banking market. Journal of Services Marketing, 18(3), 215–223. https://doi.org/10.1108/08876040410536512
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. The Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Hair Jr, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) - Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle, Marko Sarstedt. In Sage.
Handarkho, Y. D., & Harjoseputro, Y. (2020). Intention to adopt mobile payment in physical stores: Individual switching behavior perspective based on Push–Pull–Mooring (PPM) theory. Journal of Enterprise Information Management, 33(2), 285–308. https://doi.org/10.1108/JEIM-06-2019-0179
Harrison-Walker, L. J. (2012). The role of cause and affect in service failure. Journal of Services Marketing, 26(2), 115–123. https://doi.org/10.1108/08876041211215275
Hedrick, N., Beverland, M., & Minahan, S. (2007). An exploration of relational customers’ response to service failure. Journal of Services Marketing, 21(1), 64–72. https://doi.org/10.1108/08876040710726301
Indonesia Internet Provider Association. (2020). Apjii. Asosiasi Penyelenggara Jasa Internet Indonesia, Vol. 74, p. 1. Retrieved from https://apjii.or.id/content/read/104/503/BULETIN-APJII-EDISI-74---November-2020
Jung, J., Han, H., & Oh, M. (2017). Travelers’ switching behavior in the airline industry from the perspective of the push-pull-mooring framework. Tourism Management, 59, 139–153. https://doi.org/10.1016/j.tourman.2016.07.018
Jünger, M., & Mietzner, M. (2019). Banking goes digital : The adoption of FinTech services by German households. Finance Research Letters, (July), 1–8. https://doi.org/10.1016/j.frl.2019.08.008
Keaveney, S. M. (1995). Customer Switching Behavior An in Service Industries: Exploratory Study. Journal of Marketing, 59(April), 71–82.
Kordi Ghasrodashti, E. (2018). Explaining brand switching behavior using pull-push-mooring theory and the theory of reasoned action. Journal of Brand Management, 25(4), 293–304. https://doi.org/10.1057/s41262-017-0080-2
Lee, S. E. (1966). A Theory of Migration. Demography, 3(1), 75–92. https://doi.org/10.1007/978-3-319-76861-8_5
Li, C. Y. (2018). Consumer behavior in switching between membership cards and mobile applications: The case of Starbucks. Computers in Human Behavior, 84, 171–184. https://doi.org/10.1016/j.chb.2017.12.042
Liao, C., Lin, H. N., Luo, M. M., & Chea, S. (2017). Factors influencing online shoppers’ repurchase intentions: The roles of satisfaction and regret. Information and Management, 54(5), 651–668. https://doi.org/10.1016/j.im.2016.12.005
Liao, J., Li, M., Wei, H., & Tong, Z. (2020). Antecedents of smartphone brand switching: a push–pull–mooring framework. Asia Pacific Journal of Marketing and Logistics, 33(7), 1596–1614. https://doi.org/10.1108/APJML-06-2020-0397
Lin, C. L., Jin, Y. Q., Zhao, Q., Yu, S. W., & Su, Y. S. (2021). Factors Influence Students’ Switching Behavior to Online Learning under COVID-19 Pandemic: A Push–Pull–Mooring Model Perspective. Asia-Pacific Education Researcher, 30(3), 229–245. https://doi.org/10.1007/s40299-021-00570-0
Lin, W. B. (2010). Service failure and consumer switching behaviors: Evidence from the insurance industry. Expert Systems with Applications, 37(4), 3209–3218. https://doi.org/10.1016/j.eswa.2009.09.059
Loh, X. M., Lee, V. H., Tan, G. W. H., Ooi, K. B., & Dwivedi, Y. K. (2021). Switching from cash to mobile payment: what’s the hold-up? Internet Research, 31(1), 376–399. https://doi.org/10.1108/INTR-04-2020-0175
Moon, B. (1995). Paradigms in migration research: Exploring ‘moorings’ as a schema. Progress in Human Geography, 19(4), 504–524. https://doi.org/10.1177/030913259501900404
Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its in fl uence on price sensitivity. Journal of Retailing and Consumer Services, 37(July 2016), 8–22. https://doi.org/10.1016/j.jretconser.2017.02.010
Nayak, B., Bhattacharyya, S. S., Goswami, S., & Thakre, S. (2021). Adoption of online education channel during the COVID-19 pandemic and associated economic lockdown: an empirical study from push–pull-mooring framework. Journal of Computers in Education, (0123456789). https://doi.org/10.1007/s40692-021-00193-w
Pio, L., Cavaliere, L., & Bhatia, S. (2020). 38. Digital Technologies’ Implementation within Financial and Banking System during Socio Distancing Restrictions – Back to the Future.pdf. 11(6), 307–315. https://doi.org/10.34218/IJARET.11.6.2020.027
Santoso, W., Trinugroho, I., & Risfandy, T. (2020). What Determine Loan Rate and Default Status in Financial Technology Online Direct Lending? Evidence from Indonesia. Emerging Markets Finance and Trade, 56(2), 351–369. https://doi.org/10.1080/1540496X.2019.1605595
Sarwar, M. A., Awang, Z., Habib, M. D., Nasir, J., & Hussain, M. (2020). Why did I buy this? Purchase regret and repeat purchase intentions: A model and empirical application. Journal of Public Affairs, (July). https://doi.org/10.1002/pa.2357
Singh, R., & Rosengren, S. (2020). Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery. Journal of Retailing and Consumer Services, 53(October 2019), 101962. https://doi.org/10.1016/j.jretconser.2019.101962
Son, Y., Kwon, H. E., Tayi, G. K., & Oh, W. (2020). Impact of customers’ digital banking adoption on hidden defection: A combined analytical–empirical approach. Journal of Operations Management, 66(4), 418–440. https://doi.org/10.1002/joom.1066
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
Thaichon, P., Quach, S., Bavalur, A. S., & Nair, M. (2017). Managing Customer Switching Behavior in the Banking Industry. Services Marketing Quarterly, 38(3), 142–154. https://doi.org/10.1080/15332969.2017.1325644
Tomasino, B., Marin, D., Canderan, C., Maieron, M., Budai, R., Fabbro, F., & Skrap, M. (2014). Involuntary switching into the native language induced by electrocortical stimulation of the superior temporal gyrus: A multimodal mapping study. Neuropsychologia, 62(1), 87–100. https://doi.org/10.1016/j.neuropsychologia.2014.07.011
Wei, M. F., Luh, Y. H., Huang, Y. H., & Chang, Y. C. (2021). Young generation’s mobile payment adoption behavior: Analysis based on an extended utaut model. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1–20. https://doi.org/10.3390/jtaer16040037
Yoon, C., & Lim, D. (2021). Customers’ intentions to switch to internet-only banks: Perspective of the push-pull-mooring model. Sustainability (Switzerland), 13(14), 1–20. https://doi.org/10.3390/su13148062
Yusfiarto, R., Sunarsih, S., & Darmawan, D. (2021). Understanding Muslim’s switching from cash to m-payments: based on push-pull-mooring framework. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-05-2021-0135
Zhang, H., Lu, Y., Gupta, S., Zhao, L., Chen, A., & 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, 12(6), 551–577. https://doi.org/10.1504/IJMC.2014.064901
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