Determinants of Switching Intention from Islamic to Conventional Banks Among Indonesian Muslim Customers: Perceived Security, Customer Satisfaction, Social Presence, Herd Behaviour, and Perceived Price in a Cybersecurity Breach Context
Main Article Content
Abstract
This study investigates the effects of customer satisfaction, perceived herd behaviour, perceived security, perceived price, switching cost, and social presence on customers' intention to migrate from Islamic to conventional banks following a cybersecurity breach affecting an Islamic bank in Indonesia. Data were collected from 211 Muslim customers of Islamic banking institutions in Indonesia and analysed using Structural Equation Modelling via SmartPLS. Findings reveal that perceived security and customer satisfaction constitute the most influential determinants of switching intention, whereas perceived herd behaviour, perceived price, social presence, and switching cost exert comparatively lesser effects. The study's novelty lies in its simultaneous integration of perceived herd behaviour, social presence, and customer satisfaction within a unified framework, thereby offering a comprehensive understanding of switching intention in the aftermath of a cybersecurity breach, a context that has received limited empirical attention in Indonesian Islamic banking literature. Limitations include a restricted sample size and geographically specific sampling frame, which constrain the generalisability of findings. Islamic banks are advised to prioritise strengthening their cybersecurity infrastructure and consistently delivering high-quality financial services to sustain customer loyalty and mitigate switching risks in the face of digital security threats.
Downloads
Article Details
Adhikari, B. P., Adhikari, A., & Giri, D. B. (2025). Understanding service quality, customer satisfaction, and loyalty in commercial banks of Nepal. The OCEM Journal of Management, Technology, and Social Sciences, 4(1), 26–51. https://doi.org/10.3126/ocemjmtss.v4i1.74748
Ahn, J. (2025). Understanding food delivery service customers' switching behavior. Journal of Hospitality and Tourism Technology, 16(1), 124–138. https://doi.org/10.1108/JHTT-02-2024-0124
Al-Banna, H., & Berakon, I. (2024). From bank to P2P lending: Switching intention of SMEs: Evidence from Indonesia. Journal of Financial Services Marketing, 29(2), 568–581. https://doi.org/10.1057/s41264-023-00225-9
Aldossary, M., Alyahya, M., & Agag, G. (2024). How and when does engaging customers in environmental sustainability pay off? The role of business strategy. Sustainability, 16(12), 4924. https://doi.org/10.3390/su16124924
Aleksic, M., Kalas, B., Dokic, N., Milicevic, N., & Berber, N. (2024). The mediation effect of customer satisfaction in the relationship between CSR and financial performance. Sustainability, 16(18), 8113. https://doi.org/10.3390/su16188113
Ali, M., & Amir, H. (2024). Understanding consumer herding behavior in online purchases and its implications for online retailers and marketers. Electronic Commerce Research and Applications, 64, 101356. https://doi.org/10.1016/j.elerap.2024.101356
Ali, M., Amir, H., & Ahmed, M. (2024). The role of university switching costs, perceived service quality, perceived university image and student satisfaction in shaping student loyalty. Journal of Marketing for Higher Education, 34(1), 201–222. https://doi.org/10.1080/08841241.2021.1975184
Almaiah, M. A., Al-Rahmi, A., Alturise, F., Hassan, L., Lutfi, A., Alrawad, M., & Alkhalaf, S. (2022). Investigating the effect of perceived security, perceived trust, and information quality on mobile payment usage through near-field communication in Saudi Arabia. Electronics, 11(23), 3926. https://doi.org/10.3390/electronics11233926
An, L. B., Duyen, L. T. M., Oanh, T. T. K., Giang, N. T. H., Ny, N. D. H., & Trong, H. (2024). Effects of drivers and barriers to switching behavioral intention of young people in using bioplastic. In Proceedings of the 2nd International Conference: Resiliency by Technology and Design (RTD 2024) (pp. 77–94). Atlantis Press. https://doi.org/10.2991/978-94-6463-583-6_7
Andespa, R., Yeni, Y. H., Fernando, Y., & Sari, D. K. (2024). A systematic review of customer Sharia compliance behaviour in Islamic banks. Journal of Islamic Marketing, 15(4), 1013–1034. https://doi.org/10.1108/JIMA-06-2023-0181
Annamalai, N. (2024). Factors affecting English language high school teachers switching intention to ChatGPT. Interactive Learning Environments, 1–18. https://doi.org/10.1080/10494820.2024.2371928
Aprilia, C., & Amalia, R. (2022). How perceived security influences continuance intention to use mobile wallet. Jurnal Minds: Manajemen Ide Dan Inspirasi, 9(2), 271–288. https://doi.org/10.24252/minds.v9i2.30083
Arshad, T., Zahra, R., & Draz, U. (2016). Impact of customer satisfaction on image, trust, loyalty and the customer switching behavior in conventional and Islamic banking. American Journal of Business and Society, 1, 154–165.
Aruan, D. T. H., & Wirdania, I. (2020). You are what you wear: Examining the multidimensionality of religiosity and its influence on attitudes and intention to buy Muslim fashion clothing. Journal of Fashion Marketing and Management, 24(1), 121–136. https://doi.org/10.1108/JFMM-04-2019-0069
Azizah, S. N. (2021). Indonesian Sharia banking law politics through mergers and digitalization of Sharia banking. In Proceedings of the International Joint Conference on Arts and Humanities 2021 (IJCAH 2021). https://doi.org/10.2991/assehr.k.211223.125
Bhakti, A., Sudirman, A., Sumadinata, R. W. S., & Bainus, A. (2024). State defense strategy in facing cyber threats after hacking incidents on government institutions. Journal of Human Security, 20(1), 109–117. https://doi.org/10.12924/johs2024.20116
Bhukya, R., & Paul, J. (2023). Social influence research in consumer behavior: What we learned and what we need to learn. Journal of Business Research, 162, 113870. https://doi.org/10.1016/j.jbusres.2023.113870
Chang, J.-Y. (2024). Analysis of switching intention to ChatGPT as a learning tool: Applying push-pull-mooring theory. Journal of Internet of Things and Convergence, 10(6), 87–94. https://doi.org/10.20465/KIOTS.2024.10.6.087
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. (2024). Understanding users' voluntary switching behavior for user interfaces of intelligent personal assistant devices. Information Systems Frontiers, 1–24. https://doi.org/10.1007/s10796-023-10459-6
Chetwynd, E. (2022). Critical analysis of reliability and validity in literature reviews. Journal of Human Lactation, 38(3), 392–396. https://doi.org/10.1177/08903344221100201
Christian, M., Yulita, H., Sugiyanto, L. B., Sunarno, S., Leonardo, M. C., & Tommy. (2024). Dynamics of user behavior and business sustainability of cellular SIM card services in Indonesia. In Business Development via AI and Digitalization (Vol. 2, pp. 133–142). Springer. https://doi.org/10.1007/978-3-031-62106-2_11
Correa, C., Alarcon, D., & Cepeda, I. (2021). The effect of perceived customer value on repurchase and advocacy intention in B2B express delivery services. Sustainability, 13(11), 6013. https://doi.org/10.3390/su13116013
Dey, B. L., Al-Karaghouli, W., Minov, S., Babu, M. M., Ayios, A., Mahammad, S. S., & Binsardi, B. (2020). The role of speed on customer satisfaction and switching intention. Information Systems Management, 37(1), 2–15. https://doi.org/10.1080/10580530.2020.1696526
Dinh, C.-M., & Park, S. (2024). How to increase consumer intention to use chatbots? An empirical analysis of hedonic and utilitarian motivations on social presence. Electronic Commerce Research, 24(4), 2427–2467. https://doi.org/10.1007/s10660-022-09662-5
Dogra, N., & Adil, M. (2024). Should we or should we not? Examining travelers' perceived privacy, perceived security and actual behavior in online travel purchases. Journal of Vacation Marketing, 30(1), 123–142. https://doi.org/10.1177/13567667221122103
Duy Hung, P., Thong, V. H., Van Tuan, P., Dang Khoa, N. H., & Trang, N. Q. (2024). Switching intention to online channel in Vietnam. Cogent Business & Management, 11(1), 2291861. https://doi.org/10.1080/23311975.2023.2291861
Erjavec, J., & Manfreda, A. (2022). Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior. Journal of Retailing and Consumer Services, 65, 102867. https://doi.org/10.1016/j.jretconser.2021.102867
Fachrudin, K. A., Amin, S. I. M., Ab Hamid, S. N., Siti Latifah, S., & Lubis, M. A. (2025). Which UTAUT elements drive mobile banking adoption in Indonesia, despite security and trust concerns? Journal of Ecohumanism, 4(1), 682–693. https://doi.org/10.62754/joe.v4i1.5867
Fan, L., Zhang, X., Rai, L., & Du, Y. (2021). Mobile payment: The next frontier of payment systems? Journal of Theoretical and Applied Electronic Commerce Research, 16(2), 155–169. https://doi.org/10.4067/S0718-18762021000200112
Fang, Y. H., Chiu, C. M., & Wang, E. T. G. (2011). Understanding customers' satisfaction and repurchase intentions. Internet Research, 21(4), 479–503. https://doi.org/10.1108/10662241111158335
Farivar, S., & Wang, F. (2022). Effective influencer marketing: A social identity perspective. Journal of Retailing and Consumer Services, 67, 103026. https://doi.org/10.1016/j.jretconser.2022.103026
Fitriani, R., Subagiyo, R., & Asiyah, B. N. (2023). Mitigating IT risk of Bank Syariah Indonesia: A study of cyber attack on May 8, 2023. Al-Amwal: Jurnal Ekonomi dan Perbankan Syari'ah, 15(1), 86–100. https://doi.org/10.24235/amwal.v15i1.14124
Forsyth, D. R. (2012). Social influence and group behavior. In I. B. Weiner (Ed.), Handbook of psychology (2nd ed.). Wiley. https://doi.org/10.1002/9781118133880.hop205014
Fulk, J., Steinfield, C. W., Schmitz, J., & Power, J. G. (1987). A social information processing model of media use in organizations. Communication Research, 14(5), 529–552. https://doi.org/10.1177/009365087014005005
Ghamry, S., & Shamma, H. M. (2020). 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
Goldsmith, E. B., & Goldsmith, R. E. (2011). Social influence and sustainability in households. International Journal of Consumer Studies, 35(2), 117–121. https://doi.org/10.1111/j.1470-6431.2010.00965.x
Ha, M. T., Nguyen, G. D., & Doan, B. S. (2023). Understanding the mediating effect of switching costs on service value, quality, satisfaction, and loyalty. Humanities and Social Sciences Communications, 10(1), 886. https://doi.org/10.1057/s41599-023-01797-6
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature. https://doi.org/10.1007/978-3-030-80519-7
Handarkho, Y. D. (2020a). The factors influencing customer loyalty in social commerce platform. International Journal of Web Information Systems, 16(4), 369–386. https://doi.org/10.1108/IJWIS-04-2020-0021
Handarkho, Y. D. (2020b). Impact of social experience on customer purchase decision in the social commerce context. Journal of Systems and Information Technology. https://doi.org/10.1108/JSIT-05-2019-0088
Handarkho, Y. D., Khaerunnisa, K., & Michelle, B. (2023). Factors affecting the intentions of youngsters in switching to a virtual third place amidst the COVID-19 pandemic. Global Knowledge, Memory and Communication, 72(1/2), 119–137. https://doi.org/10.1108/GKMC-06-2021-0105
Handarkho, Y. D. (2024). Factors affecting user intention to use social commerce continuously from a habit perspective. Aslib Journal of Information Management. https://doi.org/10.1108/AJIM-02-2024-0111
Handayani, P. W., Nurahmawati, R. A., Pinem, A. A., & Azzahro, F. (2020). Switching intention from traditional to online groceries using the moderating effect of gender in Indonesia. Journal of Food Products Marketing, 26(6), 425–439. https://doi.org/10.1080/10454446.2020.1792023
Hijrah Hati, S., Gayatri, G., & Indraswari, K. (2020). Migration (hijra) to Islamic bank based on push-pull-mooring theory: A services marketing mix perspective. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-07-2019-0157
Huang, Q., Lei, S., & Ni, B. (2022). Perceived information overload and unverified information sharing on WeChat amid the COVID-19 pandemic. Frontiers in Psychology, 13, 837820. https://doi.org/10.3389/fpsyg.2022.837820
Indra, S., & Nurdin, S. (2023). Inertia and switching intention analysis of Muslim customers to switch to Sharia banks in Indonesia. Journal of Strategic and Global Studies, 6(1). https://doi.org/10.7454/jsgs.v6i1.1118
Isibor, O. F., & Odia, E. O. (2021). Adherents' switching behavior: Exploring the push-pull-mooring framework in the Christian religious market. International Review on Public and Nonprofit Marketing, 18, 95–127. https://doi.org/10.1007/s12208-020-00261-4
Islam, S., Zahin, M., & Rahim, S. B. (2024). Investigating how consumer-perceived value and store image influence brand loyalty in emerging markets. South Asian Journal of Business Studies, 13(4), 505–526. https://doi.org/10.1108/SAJBS-04-2023-0097
Jiang, W., & Chen, H.-L. (2024). Can short videos work? The effects of use and gratification and social presence on purchase intention. Journal of Theoretical and Applied Electronic Commerce Research, 20(1). https://doi.org/10.3390/jtaer20010005
Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002). Why customers stay: Measuring the underlying dimensions of services switching costs. Journal of Business Research, 55(6), 441–450. https://doi.org/10.1016/S0148-2963(00)00168-5
Junaidi, J. (2021). The awareness and attitude of Muslim consumer preference: The role of religiosity. Journal of Islamic Accounting and Business Research, 12(6), 919–938. https://doi.org/10.1108/JIABR-08-2020-0250
Kang, K., Wang, T., Chen, S., & Su, Y.-S. (2021). Push-pull-mooring analysis of massive open online courses and college students during the COVID-19 pandemic. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.755137
Karabulut, F., Aytac, M. B., & Akin, E. (2020). Makeup consumption and Islamic religiosity. Human Arenas, 3(4), 534–551. https://doi.org/10.1007/s42087-020-00106-w
Kelman, H. C. (2017). Further thoughts on the processes of compliance, identification, and internalization. In J. T. Tedeschi (Ed.), Social power and political influence (pp. 125–171). Routledge. https://doi.org/10.4324/9781315129693-6
Kim, M., Kim, H., Ma, Z., & Lee, S. (2024). What makes consumers purchase social media influencers endorsed organic food products. Cornell Hospitality Quarterly. https://doi.org/10.1177/19389655241256588
Koo, X. M. (2025). The influence of push, pull and mooring factors on brand switching intention among generation Y smartphone users in Malaysia [Unpublished master's thesis]. Perpustakaan Tuanku Bainun. https://ir.upsi.edu.my/sw_inc/doc.php?t=p&did=11854&id=10030831
Kreijns, K., Xu, K., & Weidlich, J. (2022). Social presence: Conceptualization and measurement. Educational Psychology Review, 34(1), 139–170. https://doi.org/10.1007/s10648-021-09623-8
Kreijns, K., Yau, J., Weidlich, J., & Weinberger, A. (2024). Towards a comprehensive framework of social presence for online, hybrid, and blended learning. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1286594
Krishnan, G., & Raghuram, J. N. V. (2024). Exploring factors and contextual applications of the push-pull mooring framework in switching intention: A systematic literature review. Multidisciplinary Reviews, 7(1). https://doi.org/10.31893/multirev.2024003
Kushwah, S., Iyer, R., Agrawal, A., & Korpal, S. (2024). Understanding switching intentions towards renewable energy technologies using push-pull-mooring framework. Journal of Cleaner Production, 465, 142656. https://doi.org/10.1016/j.jclepro.2024.142656
Lee, J., & Hong, I. B. (2016). Predicting positive user responses to social media advertising. International Journal of Information Management, 36(3), 360–373. https://doi.org/10.1016/j.ijinfomgt.2016.01.001
Lee, J., Lee, D., & Lee, J. (2024). Influence of rapport and social presence with an AI psychotherapy chatbot on users' self-disclosure. International Journal of Human-Computer Interaction, 40(7), 1620–1631. https://doi.org/10.1080/10447318.2022.2146227
Liang, S., & Wei, Z. (2024). Understanding users' app-switching behavior during the mobile search. Behavioral Sciences, 14(11), 989. https://doi.org/10.3390/bs14110989
Lim, S. H., Kim, D. J., Hur, Y., & Park, K. (2019). An empirical study of the impacts of perceived security and knowledge on continuous intention to use mobile fintech payment services. International Journal of Human-Computer Interaction, 35(10), 886–898. https://doi.org/10.1080/10447318.2018.1507132
Lim, W., Munikrishnan, U. T., Leong, C.-M., Hiew, L.-C., Leong, M.-W., & Yang, L. (2024). Do you want a secure e-wallet? Understanding the role of risk and security in e-wallet continuance intention. Information & Computer Security, 32(3), 304–321. https://doi.org/10.1108/ICS-05-2023-0085
Lin, J., Zhu, R., Li, N., & Becerik-Gerber, B. (2020). How occupants respond to building emergencies: A systematic review of behavioral characteristics and behavioral theories. Safety Science. https://doi.org/10.1016/j.ssci.2019.104540
Lin, S.-C., & Lee, Y.-Y. (2024). Explaining the gift-giving intentions of live-streaming audiences through social presence. Journal of Research in Interactive Marketing, 18(5), 945–969. https://doi.org/10.1108/JRIM-01-2024-0030
Lipowska, I., Lipowski, M., Dudek, D., & Macik, R. (2024). Switching behavior in the Polish energy market: The importance of resistance to change. Energies, 17(2), 306. https://doi.org/10.3390/en17020306
Mai, X. T., & Nguyen, T. (2023). Switching behaviors in peer-to-peer mobile payment applications: The role of sociability. Journal of Systems and Information Technology. https://doi.org/10.1108/JSIT-05-2023-0082
Maier, C., Laumer, S., Sun, H., Thatcher, J. B., & Weitzel, T. (2024). Proposing shocks and dissatisfaction to explain quitting and switching a service. Journal of the Association for Information Systems, 25(2), 362–406. https://doi.org/10.17705/1jais.00857
Mochlasin, M., Nadia Hasbullah, N., Muthohar, A. M., & Anwar, S. (2023). Customer switching behavior among Indonesian Muslims: Evidence from the merger of Indonesia's state-owned Islamic banks. Cogent Business & Management, 10(3), 2287781. https://doi.org/10.1080/23311975.2023.2287781
Mofokeng, T. E. (2025). Relation between ethical sales behaviour and switching costs. International Journal of Pharmaceutical and Healthcare Marketing. https://doi.org/10.1108/IJPHM-10-2023-0095
Mohd Thas Thaker, H., Lelchumanan, B., Ah Mand, A., & Khaliq, A. (2024). Push-pull-mooring determinants of non-Muslims' withdrawal from Islamic banking. International Journal of Islamic and Middle Eastern Finance and Management, 17(1), 195–212. https://doi.org/10.1108/IMEFM-04-2023-0144
Monoarfa, H., Al Adawiyah, R. A., Prananta, W., Sadat, A. M., & Vakhroh, D. A. (2024). Switching intention of conventional bank customers to Sharia bank based on push-pull-mooring theory. Journal of Islamic Marketing, 15(8), 2104–2121. https://doi.org/10.1108/JIMA-08-2022-0220
Monoarfa, T. A., Sumarwan, U., Suroso, A. I., & Wulandari, R. (2023). Switch or stay? Applying a push-pull-mooring framework to evaluate behavior in e-grocery shopping. Sustainability, 15(7), 6018. https://doi.org/10.3390/su15076018
Mostafa, R. H. A., & Ibrahim, M. M. (2020). The effects of customer equity and religious motivation on customer retention and switching intention in the Egyptian banking sector. Journal of Islamic Marketing, 11(6), 1873–1891. https://doi.org/10.1108/JIMA-06-2019-0136
Mozumder, M. A. S., Nguyen, T. N., Devi, S., Arif, M., Ahmed, M. P., Ahmed, E., & Bhuiyan, M. (2024). Enhancing customer satisfaction analysis using advanced machine learning techniques in fintech industry. Journal of Computer Science and Technology Studies, 6(3), 35–41. https://doi.org/10.32996/jcsts.2024.6.3.4
Muchran, M., Shafina Khairudin, N., Arizah, A., Ode Rayyani, W., & Soraya, Z. (2023). Integration of the UTAUT 2 model and awareness of cybercrime as the moderating variable of cashless adoption in Indonesia. Review of Integrative Business and Economics Research, 13, 304–321.
Naga, F. J., Tinam-isan, A. C., Maluya, M. O., Panal, A. D., & Tupac, T. A. (2024). Investigating the relationship between personality traits and information security awareness. International Journal of Computing and Digital Systems, 16(1), 1233–1246. https://doi.org/10.12785/ijcds/160191
Nugroho, A., & Wang, W.-T. (2023). Consumer switching behavior to an augmented reality (AR) beauty product application. Computers in Human Behavior, 142, 107646. https://doi.org/10.1016/j.chb.2022.107646
Nupueng, S., Kim, L., Maijan, P., & Issayeva, G. (2024). Influences of price fairness, convenience and risk on service value development influencing e-banking satisfaction. Social Sciences & Humanities Open, 10, 101170. https://doi.org/10.1016/j.ssaho.2024.101170
Nurjanah, I., & Hariyanto, D. (2024). Framing analysis of the hacking of Bank Syariah Indonesia by LockBit ransomware. Commicast, 5(3), 1–20. https://doi.org/10.12928/commicast.v5i3.11663
Nurlinda, R. A., & Anam, C. (2024). Factors influencing customer switching intentions in online food delivery. Jurnal Manajemen Perhotelan, 10(1), 43–54. https://doi.org/10.9744/jmp.10.1.43-54
Oanh, T. T. T., & Tho, A. (2024). The impact of service quality on student retention: The mediating roles of student satisfaction and switching barriers in private universities. Science and Technology Development Journal, 27(1), 3315–3332.
OJK. (2024). Pedoman keamanan siber bagi penyelenggara inovasi teknologi sektor keuangan ITSK. Otoritas Jasa Keuangan.
Panjaitan, C. R. C., Sianturi, C. M., & Rajagukguk, J. (2024). The effect of digitalization of banking services on consumer satisfaction. Golden Ratio of Data in Summary, 4(2), 391–402. https://doi.org/10.52970/grdis.v4i2.526
Pham, M., Vo, N. K. T., Tran, S. S. T., To, H. H. T., & Lam, B. Q. (2023). How does herd behaviour impact the purchase intention? Acta Psychologica, 241, 104096. https://doi.org/10.1016/j.actpsy.2023.104096
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.
Qatawneh, N., Al-Okaily, A., Al-Okaily, M., & Rehman, S. U. (2024). Exploring the antecedent factors of continuous intention to use mobile money: Insights from emerging markets. Digital Policy, Regulation and Governance. https://doi.org/10.1108/DPRG-04-2024-0080
Ribeiro, H., Barbosa, B., Moreira, A. C., & Rodrigues, R. (2023). A closer look at customer experience with bundle telecommunication services and its impacts on satisfaction and switching intention. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-023-00222-w
Ronkko, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6–14. https://doi.org/10.1177/1094428120968614
Sanchez Garcia, I., & Curras-Perez, R. (2020). Is satisfaction a necessary and sufficient condition to avoid switching? The moderating role of service type. European Journal of Management and Business Economics, 29(1), 54–83. https://doi.org/10.1108/EJMBE-02-2018-0035
Sarabi, A., & Jafari, M. (2025). Application of behavioral economics and cognitive biases in marketing and sales: A systematic review. Applied Innovations in Industrial Management, 5(1), 11–24.
Sekarputri, J. A., Fitriani, W. R., Hidayanto, A. N., & Kurnia, S. (2024). The roles of privacy, security, and dissatisfaction in affecting switching intention on messenger applications. Multimedia Tools and Applications, 83(15), 45625–45651. https://doi.org/10.1007/s11042-023-17466-4
Senanu, B., & Narteh, B. (2023). Banking sector reforms and customer switching intentions: Evidence from the Ghanaian banking industry. Journal of Financial Services Marketing, 28(1), 15–29. https://doi.org/10.1057/s41264-021-00135-8
Shanka, M. S., Teklehaimanot, M., Amegbe, H., & Abebe, M. M. (2024). Don't let your customers slip away: Exploring the impact of perceived firm innovativeness on customer's switching intention in transitioning market. European Business Review. https://doi.org/10.1108/EBR-05-2024-0174
Sharif, S., Rehman, S. U., Ahmad, Z., Albadry, O. M., & Zeeshan, M. (2024). Consumer quality management for beverage food products: Analyzing consumer perceptions toward repurchase intention. The TQM Journal, 36(2), 431–459. https://doi.org/10.1108/TQM-01-2022-0012
Sridevi, P., & Ajith, N. T. (2024). Switching channels: Investigating the push, pull, and mooring effects of moving from cable TV to OTT services. Leisure Studies, 43(4), 644–661. https://doi.org/10.1080/02614367.2023.2256030
Su, J., Luo, S., Ji, K., & Tian, B. (2024). Perceived value, service quality and behavioral intentions towards bike-sharing services. Research in Transportation Business & Management, 57, 101236. https://doi.org/10.1016/j.rtbm.2024.101236
Suh, B., & Han, I. (2003). The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of Electronic Commerce, 7, 135–161. https://doi.org/10.1080/10864415.2003.11044270
Sunaryo, S. (2018). Factors affecting customer switching intentions in the Sharia banking industry in Malang. KnE Social Sciences, 3(10), 1073–1084. https://doi.org/10.18502/kss.v3i10.3420
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1037/t56704-000
Tantriana, D., Pratikto, H., Handayati, P., & Wardoyo, C. (2024). Are Indonesia SMEs interested in switching funding to Sharia P2P lending? A push-pull-mooring framework. Journal of Ecohumanism, 3(8), 3064–3083. https://doi.org/10.62754/joe.v3i8.5351
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Tsai, L. L. (2023). A deeper understanding of switching intention and the perceptions of non-subscribers. Information Technology & People, 36(2), 785–807. https://doi.org/10.1108/ITP-04-2021-0255
Tseng, L.-Y., Chang, J.-H., & Zhu, Y. L. (2024). What drives the travel switching behavior of Chinese generation Z consumers. Journal of Tourism Futures, 10(1), 131–146. https://doi.org/10.1108/JTF-07-2020-0110
Van der Stap, N., Van den Bogaart, T., Rahimi, E., & Versendaal, J. (2024). Fostering online interaction in blended learning through social presence and convergence. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12981
Vedadi, A., & Greer, T. (2021). Revisiting how perceived uncertainty and herd behavior influence technology choice. Journal of Organizational and End User Computing, 33, 1–19. https://doi.org/10.4018/JOEUC.20211101.oa1
Wang, Y., & Xiao, Z. (2022). The dual effects of consumer satisfaction on brand switching intention of sharing apparel. Sustainability, 14(8), 4526. https://doi.org/10.3390/su14084526
Widiastuti, T., Mardhiyah, D., Mawardi, I., Robani, A., & Al Mustofa, M. U. (2024). The motivating factors for switching intention to use halal cosmetics in Indonesia. Journal of Islamic Accounting and Business Research, 15(4), 661–683. https://doi.org/10.1108/JIABR-08-2022-0220
Wiranatakusuma, D. B., & Latief, N. (2024). Analysis of switching behavior for using digital payment financial technology in Tumenggungan Market Kebumen, Central Java. Journal of Economics Research and Social Sciences, 8(1), 53–69. https://doi.org/10.18196/jerss.v8i1.20228
Xu, S., Khan, K. I., & Shahzad, M. F. (2024a). Examining the influence of technological self-efficacy, perceived trust, security, and electronic word of mouth on ICT usage in the education sector. Scientific Reports, 14(1), 14783. https://doi.org/10.1038/s41598-024-66689-4
Xu, Y., Ghose, A., & Xiao, B. (2024b). Mobile payment adoption: An empirical investigation of Alipay. Information Systems Research, 35(2), 807–828. https://doi.org/10.1287/isre.2021.0156
Yan, J., Xia, S., Jiang, A., & Lin, Z. (2024). The effect of different types of virtual influencers on consumers' emotional attachment. Journal of Business Research, 177, 114646. https://doi.org/10.1016/j.jbusres.2024.114646
Yang, X., Tseng, Y., & Lee, B. (2021). Merging the social influence theory and the goal-framing theory to understand consumers' green purchasing behavior. Frontiers in Psychology, 12, 766754. https://doi.org/10.3389/fpsyg.2021.766754
Yoon, C., & Lim, D. (2021). Customers' intentions to switch to internet-only banks: Perspective of the push-pull-mooring model. Sustainability, 13(14), 8062. https://doi.org/10.3390/su13148062
Zhang, Z., Cheng, Z., Gu, T., & Zhang, Y. (2024a). Determinants of users' unverified information sharing on social media platforms: A herding behavior perspective. Acta Psychologica, 248, 104345. https://doi.org/10.1016/j.actpsy.2024.104345
Zhang, Z., Zhang, L., & Cui, J. (2024b). A study of the impact of risk perception on the pro-environmental behaviour of herders in the Sanjiangyuan region. Scientific Reports, 14(1), 18142. https://doi.org/10.1038/s41598-024-57336-z