Motivasi Switching Intention Nasabah Bank Syariah Indonesia (BSI) Wilayah Maluku Utara Pasca Merger di Era Pandemi Covid-19

Hasbullah Hajar - Institut Agama Islam Negeri Ternate , & IAIN Ternate , &

Abstract


Technological disruption due to Covid-19 is a challenge for banking sector businesses to maintain the business sustainabiilty, considering that offline service which were initially the focus of best practice, then had to be changed to online services. In an effort to maintain business sustainability, several state-owned sharia banking companies merged to become Bank Syariah Indonesia (BSI), and this is interesting because the merger was carried out at the beginning of Covid-19 in Indonesia. This research aims to identify the influence from E-Channel service variable on the switching intention of BSI customers in North Maluku, moderated by the Covid-19. The population is BSI North Maluku customers. The sampling method used was purposive sampling and a total of 212 respondents were found. This research uses the SEM-PLS analysis method with the consideration that this research tends to be exploratory research. The results of this research show that ease of E-Channel service can reduce the switching intention of BSI customers in North Maluku. Meanwhile, providing easy E-Channel services during Covid-19 force majeure conditions was able to help reduce BSI customers' switching intention but was deemed not statistically significant enough, resulting in the second hypothesis being rejected. The findings in the research show that BSI does not have to consider certain factors to improve its E-Channel service, considering that customer loyalty is fundamentally influenced by the optimality of the E-Channel service itself.

Keywords


Covid-19, ease of e-channel service, switching intention

References


Adiningtyas, H., & Auliani, A. S. (2024). Sentiment analysis for mobile banking service quality measurement. Procedia Computer Science, 234, 40–50. https://doi.org/https://doi.org/10.1016/j.procs.2024.02.150

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/https://doi.org/10.1016/0749-5978(91)90020-T

Anggraeni, R. (2015). Pengaruh persepsi kemudahan penggunaan dan persepsi kegunaan terhadap niat untuk menggunakan dan penggunaan aktual layanan jejaring sosial berbasis lokasi (studi pada mahasiswa Fakultas Ekonomi dan Bisnis Universitas Brawijaya Malang). Thesis. Universitas Brawijaya

Badan Pusat Statistik Maluku Utara. (2022). Statistik Covid-19.

Bapak Rahmat (financing administrative). (2023, May 31). Wawancara.

BSI. (2021). Merger dengan dua bank BUMN, BRIS ganti nama jadi Bank Syariah Indonesia. Https://Www.Bankbsi.Co.Id/News-Update/Berita/Merger-Dengan-Dua-Bank-Bumn-Bris-Ganti-Nama-Jadi-Bank-Syariah-Indonesia.

Chin, W. W. (1998). The partial least squares approach to Structural Equation Modeling. Modern Methods for Business Research.

Elfoza, Rona. (2021). Pengaruh pandemi covid-19 terhadap penggunaan ransaksi mobile banking, internet banking, dan e-money pada bank syariah indonesia KCP Ulak Karang Padang. Thesis. UIN Syarif Hidayatullah.

Farah, M. F. (2017). Application of the theory of planned behavior to customer switching intentions in the context of bank consolidations. International Journal of Bank Marketing, 35(1), 147–172. https://doi.org/10.1108/IJBM-01-2016-0003

Ghamry, S., & Shamma, H. M. (2022). Factors influencing customer switching behavior in Islamic banks: evidence from Kuwait. Journal of Islamic Marketing, 13(3), 688–716. https://doi.org/10.1108/JIMA-01-2020-0021

Ghozali Imam. (2015). Partial Least Squares konsep, teknik, dan aplikasi menggunakan program SmartPLS 3.0 (VII). Universitas Diponegoro.

Hafizd, J. Z. (2020). Peran bank syariah mandiri (BSM) bagi perekonomian indonesia di masa pandemi Covid-19. In Jurnal Penelitian Hukum Ekonomi Islam (Vol. 5, Issue 2).

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications Inc. .

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review (Vol. 31, Issue 1, pp. 2–24). Emerald Group Publishing Ltd. https://doi.org/10.1108/EBR-11-2018-0203

Hair Joseph F., Hult G. Tomas M., Ringle Christian M., & Sarstedt Marko. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Inggar Dwi Rani. (2021). Pengaruh efektivitas pembukaan rekening online dan promosi terhadap minat menjadi nasabah Bank Syariah Indonesia di masa pandemi Covid 19 (Studi Kasus Bank Syariah Indonesia Di Jawa Timur). Thesis. UII.

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2017). An introduction to statistical learning with applications in R. Springer.

Jebarajakirthy, C., & Shankar, A. (2021). Impact of online convenience on mobile banking adoption intention: A moderated mediation approach. Journal of Retailing and Consumer Services, 58, 102323. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102323

Kapoor, A., Sindwani, R., Goel, M., & Shankar, A. (2022). Mobile wallet adoption intention amid COVID-19 pandemic outbreak: A novel conceptual framework. Computers & Industrial Engineering, 172, 108646. https://doi.org/https://doi.org/10.1016/j.cie.2022.108646

Kompas.com. (2021, June 23). Meski menghancurkan ekonomi, pandemi Covid-19 cetak 5 juta orang kaya baru, bagaimana bisa?. Kompas. Https://Www.Kompas.Com/Global/Read/2021/06/23/125127270/Meski-Menghancurkan-Ekonomi-Pandemi-Covid-19-Cetak-5-Juta-Orang-Kaya-Baru.

Mobilestatistik. (2018). Goodness of fit gof dalam structural equation modeling. Https://Www.Mobilestatistik.Com/Goodness-of-Fit-Gof-Dalam-Structural-Equation-Modeling-Sem/.

Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23(1), 1–14. https://doi.org/https://doi.org/10.1016/j.hitech.2012.03.001

Qurniawati, R., Nurohman, Y., & Fatharani, A. (2022). Determinants of customer switching intention: empirical evidence from sharia bank mergers in Indonesia. El-Qist: Journal of Islamic Economics and Business (JIEB), 12(1), 17–37. https://doi.org/10.15642/elqist.2022.12.1.17-37

Rohmawati, V. (2016). Niat berpindah konsumen pada nasabah bank di Surabaya. Thesis. Universitas Airlangga.

Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. http://www.emerald-library.com/ft

Shahid, S., Islam, J. U., Malik, S., & Hasan, U. (2022). Examining consumer experience in using m-banking apps: A study of its antecedents and outcomes. Journal of Retailing and Consumer Services, 65, 102870. https://doi.org/https://doi.org/10.1016/j.jretconser.2021.102870

Souiden, N., & Rani, M. (2015). Consumer attitudes and purchase intentions toward Islamic banks: The influence of religiosity. International Journal of Bank Marketing, 33(2), 143–161. https://doi.org/10.1108/IJBM-10-2013-0115

Sugiyono. (2019). Metode Penelitian Kualitatif, Kuantitatif, dan R&D. Alfabeta.

Wetzels, M., Odekerken-Schroder, Gaby, Van Oppen, & Claudia. (2009). Using PLS Path Modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177–195.

WHO Director-General. (2020, March 11). Opening remarks at the media briefing on COVID-19. Https://Www.Who.Int/Director-General/Speeches/Detail/Who-Director-General-s-Opening-Remarks-at-the-Media-Briefing-on-Covid-19---11-March-2020




DOI: https://doi.org/10.34149/jmbr.v22i1.645

Citation Format:


Indexing

 

JMBR Editorial Office: PPM School of Management, Jl. Menteng Raya 9-19 Jakarta 10340 Phone: 021-2300313 ext 2354

View My Stats

License

JMBR is using CC BY License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.