Factors Influencing Customer Trust in Mobile Banking: Case of Latvia

Abstract

The banking sector has developed and extended the use of its services in the past decade. In fact, nowadays mobile banking (M-banking) is the most developing service offered by a bank. In order to encourage customers to use m-banking services, it is extremely important to get clients to trust the M-banking services provided by the bank. This article discusses private clients’ trust in mobile banking in Latvia. Hence, the goal of the research is to identify the key factors driving individual customer’s confidence in mobile banking. In order to determine the weight of each factor, expert evaluation method based on analytic hierarchy process (AHP) was used. The results showed that the most vital factor affecting private clients’ trust in mobile banking is customer characteristics, especially customers’ computer literacy. However, after summarizing all the subfactors, it became clear that the most powerful in the trust-building process is convenience/practicality of using a mobile application. However, there is a limitation – the survey was conducted by interviewing experts, which means that the results may differ from the responses of the clients themselves.

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  • Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370–387. http://doi.org/10.1016/j.tele.2015.09.005

  • Aksenov, V. V., Blashchuk, M. Y., Chernuhin, R. V., [Аксёнов, В. В., Блащук, М. Ю., & Чернухин, Р. В.]. (2014). Применение метода анализа иерархий для выбора типа насоса энергосиловой установки геохода. Вестник Кузбасского Государственного Технического Университета, 3(103), 38–42.

  • Baptista, G., & Oliveira, T. (2016). A weight and a meta-analysis on mobile banking acceptance research. Computers in Human Behavior, 63, 480–489. http://doi.org/10.1016/j.chb.2016.05.074

  • Chemingui, H., & Iallouna, H. Ben. (2013). Resistance, motivations, trust and intention to use mobile financial services. International Journal of Bank Marketing, 31(7), 574–592. http://doi.org/10.1108/IJBM-12-2012-0124

  • Chiyangwa, T. B., & (Trish) Alexander, P. M. (2016). Rapidly co-evolving technology adoption and diffusion models. Telematics and Informatics, 33(1), 56–76. http://doi.org/10.1016/j.tele.2015.05.004

  • Franek, J., & Kresta, A. (2014). Judgment Scales and Consistency Measure in AHP. Procedia Economics and Finance, 12(March), 164–173. http://doi.org/10.1016/S2212-5671(14)00332-3

  • Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. http://doi.org/10.1016/j.eswa.2009.03.024

  • Gumussoy, C. A. (2016). Factors affecting users’ decision to continue using mobile banking in Turkey. International Journal of Mobile Communications, 14(4), 411–430. http://doi.org/http://dx.doi.org/10.1504/IJMC.2016.077341

  • Jammoul, K. (2012). The factors affect the success of mobile banking The role of trust. In Brunel Business School – Doctoral Symposium.

  • Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. http://doi.org/10.1016/j.dss.2007.07.001

  • Koenig-Lewis, N., Palmer, A., & Moll, A. (2010). Predicting young consumers’ take up of mobile banking services. Marketing Intelligence and Planning, 28(5), 410–432. http://doi.org/10.1108/02652321011064917

  • Kostin, L. V., & [Костин, Л. В.]. (2014). Использование метода анализа иерархий в процессе оценки потенциала клиентов рынка логистических услуг. Экономика И Управление, 3(39), 86–90.

  • Kurt, Y., Yamin, M., Sinkovics, N., & Sinkovics, R. R. (2016). Spirituality as an antecedent of trust and network commitment: The case of Anatolian Tigers. European Management Journal, 34(6), 1–15. http://doi.org/10.1016/j.emj.2016.06.011

  • Libby, R., & Blashfield, R. K. (1978). Performance of a composite as a function of the number of judges. Organizational Behavior and Human Performance, 21(2), 121–129. http://doi.org/10.1016/0030-5073(78)90044-2

  • Malaquias, F. F. O., & Hwang, Y. (2016). Trust in mobile banking under conditions of information asymmetry: Empirical evidence from Brazil. Information Development, 32(5), 1600–1612. http://doi.org/10.1177/0266666915616164

  • Maroofi, F., Kahrarian, F., & Dehghani, M. (2013). An Investigation of Initial Trust in Mobile Banking. International Journal of Academic Research in Business and Social Sciences, 3(9), 394–404. http://doi.org/10.6007/IJARBSS/v3-i9/228

  • Olouch, R. A., Abaja, P. O., Mwangi, J. W., & Githeko, J. (2015). Factors affecting adoption of mobile banking technology in Kenya: a case of bank customers within Nakuru Municipality. Asian Journal of Business and Management Sciences, 2(11), 1–13. http://doi.org/10.1017/CBO9781107415324.004

  • Østergaard, L. R. (2015). Trust matters: A narrative literature review of the role of trust in health care systems in sub-Saharan Africa. Global Public Health, 10(9), 1046–1059. http://doi.org/10.1080/17441692.2015.1019538

  • Özkan, S., Bindusara, G., & Hackney, R. (2010). Facilitating the adoption of e-payment systems: theoretical constructs and empirical analysis. Journal of Enterprise Information Management, 23(3), 305–325. http://doi.org/10.1108/17410391011036085

  • Peek, M. E., Lopez, F. Y., Williams, H. S., Xu, L. J., McNulty, M. C., Acree, M. E., & Schneider, J. A. (2016). Development of a Conceptual Framework for Understanding Shared Decision making Among African-American LGBT Patients and their Clinicians. Journal of General Internal Medicine, 31(6), 677–687. http://doi.org/10.1007/s11606-016-3616-3

  • Picón-Berjoyo, A., Ruiz-Moreno, C., & Castro, I. (2016). A mediating and multigroup analysis of customer loyalty. European Management Journal, 34. http://doi.org/10.1016/j.emj.2016.07.006

  • Rezaei, H., Kabiry, Na., & Forghani, M. H. (2013). Factors Affecting Isfahanian Mobile Banking Adoption Based on the Technology Acceptance Model. International Journal of Academic Research in Business and Social Sciences, 3(5), 611–623.

  • Rudzkienė, V. (2009). Ateities įžvalgų tyrimo metodologija ir metodai. In Lietuvos e. valdžios gairės: ateities įžvalgų tyrimas (pp. 163–260). Vilnius: Mykolo Romerio universitetas.

  • Saaty, T. L. [Саати, Т. Л.] (1993). Принятие решений: метод анализа иерархий. Москва: Радио и связь.

  • Saaty, T. L. (2012). Decision Making for Leaders: the analytic hierarchy process for decisions in a complex world (3rd ed.). Pittshburg: RWS Publications.

  • Salo, A. A., & Hämäläinen, R. P. (1997). On the measurement of preferences in the analytic hierarchy process. Journal of Multi-Criteria Decision Analysis, 6, 309–319. http://doi.org/10.1002/(SICI)1099-1360(199711)6:6<309::AID-MCDA163>3.0.CO;2-2

  • Sekhon, H., Roy, S., Shergill, G., & Pritchard, A. (2013). Modelling trust in service relationships: a transnational perspective. Journal of Services Marketing, 27(1), 76–86. http://doi.org/10.1108/08876041311296392

  • Sėrikovienė, S. (2013). Mokomųjų objektų daugkartinio panaudojimo kokybės vertinimo metodų taikymo tyrimas. Vilniaus universitetas.

  • Skačkauskienė, I., & Bytautė, S. (2012). Socialinio kapitalo apibrėžties ir matavimo problematika. Verslas: Teorija ir Praktika, 13(3), 208–216. http://doi.org/10.3846/btp.2012.22

  • Thakur, R. (2014). What keeps mobile banking customers loyal? International Journal of Bank Marketing, 32(7), 628–646. http://doi.org/10.1108/IJBM-07-2013-0062

  • Tong, X., Zhang, W., & Wang, Y. (2016). Research on the transitivity closure of trust network. In 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) (pp. 2070–2074). IEEE. http://doi.org/10.1109/FSKD.2016.7603500

  • Wu, W., Chiang, C., & Lin, C. (2008). Comparing the aggregation methods in the analytic hierarchy process when uniform distribution. WSEAS Transactions on Business and Economics, 5(3), 82–87.

  • Zhou, T. (2011a). An empirical examination of initial trust in mobile payment. Wireless Personal Communications, 21(5), 527–540.

  • Zhou, T. (2011b). Understanding the effect of flow on user adoption of mobile games. Personal and Ubiquitous Computing, 27(4), 290–300. http://doi.org/10.1007/s00779-012-0613-3

  • Zhou, T. (2014). Understanding the determinants of mobile payment continuance usage. Industrial Management & Data Systems, 114(6), 936–948. http://doi.org/10.1108/IMDS-02-2014-0068

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