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Abstract

Purpose – This study aims to identify the factors influencing the adoption of mobile banking in the context of cybercrime issues in digital banking services by focusing on a case study of Bank Syariah Indonesia (BSI) customers.
Methodology – This study examined five independent variables as mediators: cybercrime issue sentiment, security perceptions, convenience, digital literacy, cybersecurity awareness, and trust. It involves 100 BSI customer respondents and is analyzed using the SEM-PLS method.
Findings – The findings indicate that Cybercrime issue sentiment and perceived security positively impact trust. However, this trust does not influence mobile banking adoption, suggesting that other factors may dominate adoption decision-making. Convenience and cybersecurity awareness affect mobile banking adoption, whereas digital literacy does not.
Implications – Cybercrime is a crucial aspect of mobile banking usage, making customer awareness essential. To increase customer trust, BSI needs to strengthen and enhance digital security and educate customers about cybersecurity risks. Improving the convenience of mobile banking services is crucial to attracting more users. Cybersecurity awareness is also essential; therefore, BSI needs to conduct educational programs and campaigns to improve digital literacy and reduce the negative impact of cybercrime.
Originality – The implications provide insights for banks, especially BSI, in maintaining customer trust and increasing mobile banking adoption. The results are expected to assist customers and BSI in focusing on cybersecurity, protecting personal data, and enhancing user convenience. Understanding the factors influencing mobile banking adoption in the continually evolving digital banking environment can help banks take relevant action and focus on customer needs.

Keywords

Trust mobile banking cybercrime issues security convenience digital literacy cybersecurity awareness

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Copyright (c) 2024 Yenny Kornitasari, Langlang Jati Sura, Dita Nurul Aini Mustika Dewi

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How to Cite
Kornitasari, Y., Sura, L. J. ., & Dewi, D. N. A. M. (2024). How cybercrime sentiment shapes mobile banking adoption in Islamic banking. Jurnal Ekonomi & Keuangan Islam, 10(2), 217–232. https://doi.org/10.20885/JEKI.vol10.iss2.art6
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References

  1. Abdul Sathar, M. B., Rajagopalan, M., Naina, S. M., & Parayitam, S. (2023). A moderated-mediation model of perceived enjoyment, security and trust on customer satisfaction: Evidence from banking industry in India. Journal of Asia Business Studies, 17(3), 656–679. https://doi.org/10.1108/JABS-03-2022-0089
  2. Aboobucker, I., & Bao, Y. (2018). What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators. Journal of High Technology Management Research, 29(1), 109–123. https://doi.org/10.1016/j.hitech.2018.04.010
  3. Addae, J. H., Sun, X., Towey, D., & Radenkovic, M. (2019). Exploring user behavioral data for adaptive cybersecurity. In User Modeling and User-Adapted Interaction (Vol. 29, Issue 3). Springer Netherlands. https://doi.org/10.1007/s11257-019-09236-5
  4. Adiningtyas, H., & Auliani, A. S. (2024). Sentiment analysis for mobile banking service quality measurement. Procedia Computer Science, 234, 40–50. https://doi.org/10.1016/j.procs.2024.02.150
  5. Agarwala, R., Mishra, P., & Singh, R. (2019). Religiosity and consumer behavior: a summarizing review. Journal of Management, Spirituality & Religion, 16(1), 32–54. https://doi.org/10.1080/14766086.2018.1495098
  6. Akinbowale, O. E., Klingelhöfer, H. E., & Zerihun, M. F. (2023). The assessment of the impact of cyberfraud in the South African banking industry. Journal of Financial Crime. https://doi.org/10.1108/JFC-10-2022-0260
  7. Ajzen, I. (2005). Attitudes, personality and behaviour. Open University Press. https://psicoexperimental.wordpress.com/wp-content/uploads/2011/03/ajzeni-2005-attitudes-personality-and-behaviour-2nd-ed-open-university-press.pdf
  8. Alanazi, M., Freeman, M., & Tootell, H. (2022). Exploring the factors that influence the cybersecurity behaviors of young adults. Computers in Human Behavior, 136(June). https://doi.org/10.1016/j.chb.2022.107376
  9. Ali, A., Hameed, A., Moin, M. F., & Khan, N. A. (2022). Exploring factors affecting mobile-banking app adoption: a perspective from adaptive structuration theory. Aslib Journal of Information Management, ahead-of-p(ahead-of-print). https://doi.org/10.1108/AJIM-08-2021-0216
  10. Alzubaidi, A. (2021). Measuring the level of cyber-security awareness for cybercrime in Saudi Arabia. Heliyon, 7(1). https://doi.org/10.1016/j.heliyon.2021.e06016
  11. Andam, A. C., & Osman, A. Z. (2019). Determinants of intention to give zakat on employment income: Experience from Marawi City, Philippines. Journal of Islamic Accounting and Business Research, 10(4), 528–545. https://doi.org/10.1108/JIABR-08-2016-0097
  12. Andreou, P. C., & Anyfantaki, S. (2021). Financial literacy and its influence on internet banking behavior. European Management Journal, 39(5), 658. https://doi.org/https://doi.org/10.1016/j.emj.2020.12.001
  13. Anthonysamy, L., & Sivakumar, P. (2022). A new digital literacy framework to mitigate misinformation in social media infodemic. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-06-2022-0142
  14. Avornyo, P., Feng, Z., Liu, L., Boadi, E. A., Azamela, J. C., & Opata, C. N. (2024). The role of OSL in mobile banking application discontinuance: A technological innovation dilemma. Technovation, 131(March 2023). https://doi.org/10.1016/j.technovation.2023.102946
  15. Bankuoru Egala, S., Boateng, D., & Aboagye Mensah, S. (2021). To leave or retain? An interplay between quality digital banking services and customer satisfaction. International Journal of Bank Marketing, 39(7), 1420–1445. https://doi.org/10.1108/IJBM-02-2021-0072
  16. Bigné, E., Ruiz-Mafé, C., & Badenes-Rocha, A. (2023). The influence of negative emotions on brand trust and intention to share cause-related posts: A neuroscientific study. Journal of Business Research, 157(June 2022). https://doi.org/10.1016/j.jbusres.2022.113628
  17. Chiu, J. L., Bool, N. C., & Chiu, C. L. (2017). Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines. Asia Pacific Journal of Innovation and Entrepreneurship, 11(2), 246–278. https://doi.org/10.1108/apjie-08-2017-029
  18. Chov, B., & Ou, P. (2022). Determinants of the consumer’s adoption of the next-generation mobile payments and banking: a case study of the Bakong system. In SN Business & Economics (Vol. 2, Issue 10). Springer International Publishing. https://doi.org/10.1007/s43546-022-00345-9
  19. Deb, M., & Agrawal, A. (2017). Factors impacting the adoption of m-banking: understanding brand India’s potential for financial inclusion. Journal of Asia Business Studies, 11(1), 22–40. https://doi.org/10.1108/JABS-11-2015-0191
  20. Elhajjar, S., & Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption. International Journal of Bank Marketing, 38(2), 352–367. https://doi.org/10.1108/IJBM-02-2019-0055
  21. Fadlan, A., & Dewantara, R. Y. (2018). Pengaruh persepsi kemudahan dan persepsi kegunaan terhadap pengunaan mobile banking (Studi pada mahasiswa pengguna mobile banking Universitas Brawijaya). Jurnal Administrasi Bisnis, 62(1). https://administrasibisnis.studentjournal.ub.ac.id/index.php/jab/article/view/2652
  22. Fan, J., Shao, M., Li, Y., & Huang, X. (2018). Understanding users’ attitude toward mobile payment use: A comparative study between China and the USA. Industrial Management and Data Systems, 118(3), 524–540. https://doi.org/10.1108/IMDS-06-2017-0268
  23. Fauzi, M. A., Hanafiah, M. H., & Kunjuraman, V. (2022). Tourists’ intention to visit green hotels: building on the theory of planned behaviour and the value-belief-norm theory. Journal of Tourism Futures, 1–22. https://doi.org/10.1108/JTF-01-2022-0008
  24. Ghozali, I. (2014). Structural equation modeling: Metode alternatif dengan partial least square (PLS). Badan Penerbit Universitas Diponegoro
  25. Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.
  26. Han, L., Sun, R., Gao, F., Zhou, Y., & Jou, M. (2019). The effect of negative energy news on social trust and helping behavior. Computers in Human Behavior, 92(November 2018), 128–138. https://doi.org/10.1016/j.chb.2018.11.012
  27. Huang, Z., & Benyoucef, M. (2022). A systematic literature review of mobile application usability: Addressing the design perspective. Universal Access in the Information Society, 22(3), 715–735. https://doi.org/10.1007/s10209-022-00903-w
  28. 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(September 2020). https://doi.org/10.1016/j.jretconser.2020.102323
  29. Johri, A., & Kumar, S. (2023). Exploring Customer Awareness towards Their Cyber Security in the Kingdom of Saudi Arabia: A Study in the Era of Banking Digital Transformation. Human Behavior and Emerging Technologies, 2023. https://doi.org/10.1155/2023/2103442
  30. Kaabachi, S., Ben Mrad, S., & O’Leary, B. (2019). Consumer’s initial trust formation in IOB’s acceptance: The role of social influence and perceived compatibility. International Journal of Bank Marketing, 37(2), 507–530. https://doi.org/10.1108/IJBM-12-2017-0270
  31. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Choices, Values, and Frames, 17–43. https://doi.org/10.1017/CBO9780511803475.003
  32. Keynes, J. M. (2016). General theory of employment, interest and money. Atlantic Publishers & Distributors (P) Limited.
  33. Khan, N. F., Ikram, N., Murtaza, H., & Asadi, M. A. (2023). Social media users and cybersecurity awareness: Predicting self-disclosure using a hybrid artificial intelligence approach. Kybernetes, 52(1), 401–421. https://doi.org/10.1108/K-05-2021-0377
  34. Khulwa, C. A., & Luthfia, A. (2023). Generation Z students’ digital literacy on online learning readiness. 2023 11th International Conference on Information and Education Technology (ICIET), 360–364. https://doi.org/10.1109/ICIET56899.2023.10111186
  35. Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327–346. https://doi.org/10.1108/IJBM-03-2015-0025
  36. Komulainen, H., & Saraniemi, S. (2019). Customer centricity in mobile banking: A customer experience perspective. International Journal of Bank Marketing, 37(5), 1082–1102. https://doi.org/10.1108/IJBM-11-2017-0245
  37. Kornitasari, Y., & Faidah, A. M. (2022). Pengaruh label halal, kualitas produk dan harga terhadap keputusan pembelian produk yang dikonsumsi setiap hari. Jurnal Manajemen Pemasaran dan Perilaku Konsumen, 1(3), 337-346. https://jmppk.ub.ac.id/index.php/jmppk/article/view/106
  38. Kotler, P., Keller, K. L., Brady, M., Goodman, M., & Hansen, T. (2016). Marketing Management. Pearson. https://books.google.co.id/books?id=rxMjjwEACAAJ
  39. Krishna, B., Krishnan, S., & Sebastian, M. P. (2022). Examining the relationship between national cybersecurity commitment, culture, and digital payment usage: An institutional trust theory perspective. Information Systems Frontiers, 0123456789. https://doi.org/10.1007/s10796-022-10280-7
  40. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
  41. Lemeshow, S., Hosmer, D. W., Klar, J., & Lwanga, S. K. (1997). Besar sampel dalam penelitian kesehatan. Gajah Mada University.
  42. Lessambo, F. I. (2023). Anti-money laundering, counter financing terrorism and cybersecurity in the banking industry: A comparative study within the G-20. Springer Nature Switzerland.
  43. Li, L., & Wang, W. (2020). The effects of online trust-building mechanisms on trust in the sharing economy: The perspective of providers. Sustainability, 12(5). https://doi.org/10.3390/su12051717
  44. Majumdar, S., & Pujari, V. (2022). Exploring usage of mobile banking apps in the UAE: A categorical regression analysis. Journal of Financial Services Marketing, 27(3), 177–189. https://doi.org/10.1057/s41264-021-00112-1
  45. Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59(June). https://doi.org/10.1016/j.techsoc.2019.101151
  46. Mowen, J. C., & Minor, M. (2001). Consumer behavior: A framework. Prentice Hall.
  47. Naeem, M. (2021). Developing the antecedents of social influence for Internet banking adoption through social networking platforms: evidence from conventional and Islamic banks. Asia Pacific Journal of Marketing and Logistics, 33(1), 185–204. https://doi.org/10.1108/APJML-07-2019-0467
  48. Nikou, S., De Reuver, M., & Mahboob Kanafi, M. (2022). Workplace literacy skills—how information and digital literacy affect adoption of digital technology. Journal of Documentation, 78(7), 371–391. https://doi.org/10.1108/JD-12-2021-0241
  49. Niu, B., Ren, J., Zhao, A., & Li, X. (2020). Lender trust on the P2P lending: Analysis based on sentiment analysis of comment text. Sustainability, 12(8). https://doi.org/10.3390/SU12083293
  50. Pal, A., Herath, T., De’, R., & Rao, H. R. (2021). Is the convenience worth the risk? An investigation of mobile payment usage. Information Systems Frontiers, 23(4), 941–961. https://doi.org/10.1007/s10796-020-10070-z
  51. Patel, K. J., & Patel, H. J. (2018). Adoption of internet banking services in Gujarat: An extension of TAM with perceived security and social influence. International Journal of Bank Marketing, 36(1), 147–169. https://doi.org/10.1108/IJBM-08-2016-0104
  52. Quayyum, F., Cruzes, D. S., & Jaccheri, L. (2021). Cybersecurity awareness for children: A systematic literature review. International Journal of Child-Computer Interaction, 30. https://doi.org/10.1016/j.ijcci.2021.100343
  53. Rahmafitria, F., Suryadi, K., Oktadiana, H., Putro, H. P. H., & Rosyidie, A. (2021). Applying knowledge, social concern and perceived risk in planned behavior theory for tourism in the Covid-19 pandemic. Tourism Review, 76(4), 809–828. https://doi.org/10.1108/TR-11-2020-0542
  54. Raza, S. A., Shah, N., & Ali, M. (2019). Acceptance of mobile banking in Islamic banks: Evidence from modified UTAUT model. Journal of Islamic Marketing, 10(1), 357–376. https://doi.org/10.1108/JIMA-04-2017-0038
  55. Saxena, N., Gera, N., & Taneja, M. (2022). An empirical study on facilitators and inhibitors of adoption of mobile banking in India. In Electronic Commerce Research (Issue 0123456789). Springer US. https://doi.org/10.1007/s10660-022-09556-6
  56. Simonet, J., & Teufel, S. (2019). The influence of organizational, social and personal factors on cybersecurity awareness and behavior of home computer users. IFIP Advances in Information and Communication Technology, 562, 194–208. https://doi.org/10.1007/978-3-030-22312-0_14
  57. Siyal, A. W., Ding, D., & Siyal, S. (2019). M-banking barriers in Pakistan: A customer perspective of adoption and continuity intention. Data Technologies and Applications, 53(1), 58–84. https://doi.org/10.1108/DTA-04-2018-0022
  58. Spadaro, G., Gangl, K., van Prooijen, J. W., van Lange, P. A. M., & Mosso, C. O. (2020). Enhancing feelings of security: How institutional trust promotes interpersonal trust. PLoS ONE, 15(9 September), 1–22. https://doi.org/10.1371/journal.pone.0237934
  59. Suarka, I. bagus K., & Setena, I. M. (2021). Beware of rush money on Covid-19 pandemic conditions in banks and village micro-finance institutions. International Journal of Business, Economics and Law, 24(5), 67–73. https://www.ijbel.com/previous-issues/april-june-and-august-2021/vol-24-august-2021-issue-5/
  60. Surfshark. (2022). Data breach monitoring. Surfshart. https://surfshark.com/research/data-breach-monitoring
  61. Suhartanto, D., Dean, D., Ismail, T. A. T., & Sundari, R. (2020). Mobile banking adoption in Islamic banks: Integrating TAM model and religiosity-intention model. Journal of Islamic Marketing, 11(6), 1405–1418. https://doi.org/10.1108/JIMA-05-2019-0096
  62. Susanto, A., Chang, Y., & Ha, Y. (2016). Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model. Industrial Management and Data Systems, 116(3), 508–525. https://doi.org/10.1108/IMDS-05-2015-0195
  63. Thaler, R. H., & Sunstein, C. R. (2012). Nudge: The final edition. Penguin Books Limited.
  64. Tsai, S. C., Chen, C. H., & Shih, K. C. (2022). Exploring transaction security on consumers’ willingness to use mobile payment by using the technology acceptance model. Applied System Innovation, 5(6). https://doi.org/10.3390/asi5060113
  65. Tucker, M., Jubb, C., & Yap, C. J. (2020). The theory of planned behaviour and student banking in Australia. International Journal of Bank Marketing, 38(1), 113–137. https://doi.org/10.1108/IJBM-11-2018-0324
  66. Ullah, S., Kiani, U. S., Raza, B., & Mustafa, A. (2022). Consumers’ intention to adopt m-payment/m-banking: The role of their financial skills and digital literacy. Frontiers in Psychology, 13(April), 1–12. https://doi.org/10.3389/fpsyg.2022.873708
  67. Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2016). Modeling traditional literacy, internet skills and internet usage: An empirical study. Interacting with Computers, 28(1), 13–26. https://doi.org/10.1093/iwc/iwu027
  68. Wang, K., Guo, X., & Yang, D. (2022). Research on the effectiveness of cyber security awareness in ICS risk assessment frameworks. Electronics, 11(10), 1–13. https://doi.org/10.3390/ELECTRONICS11101659
  69. We are Social. (2023, Maret). Digital 2023: Indonesia. https://wearesocial.com/wp-content/uploads/2023/03/Digital-2023-Indonesia.pdf
  70. Windiarti, I., Norcahyono, N., & Prabowo, A. (2020, December). Digital literacy for the millennial generation in industrial revolution 4.0 Era in Islamic norms perspective. In ICIC 2020: Proceedings of the 1st International Conference on Islamic Civilization, ICIC 2020, 27th August 2020, Semarang, Indonesia (p. 467). European Alliance for Innovation. http://dx.doi.org/10.4108/eai.27-8-2020.2303180