The Mediation Influence of Trust and Experience of Electronic Banking Services on the Relationship among Subjective Norm Behavioral Intention and Actual Use

Authors

  • อรสุภา จันทร์วงษ์ Faculty of Management Science, LampangRajabhat University
  • บุญฑวรรณ วิงวอน Faculty of Management Science, Lampang Rajabhat University
  • มนตรี พิริยะกุล Faculty of Science, Ramkhamhaeng University

Keywords:

Electronic Banking Services, Subjective Norm, Behavioral Intention, Actual Use

Abstract

The objectives of this research were to: (1)examine the influence of subjective norms,
behavioral intention, experience, trust and the actual use of users in electronic banking services
in the upper-northern part of Thailand; (2) analyze the impact of trust and experience of using
users in electronic banking services relative to the influence of subjective norms, behavioral intention
and actual use; (3) and to analyze the impact of subjective norms and the influence of actual use
through the behavioral intention of users in electronic banking services in the upper-northern part
of Thailand. The research participants comprised 500 users of electronic banking services in 8
provinces in the upper-northern part of Thailand.A questionnaire was used to collect data, which
were then analyzed using percentage, averages, standard deviation, and reliability through the use
of Structural Equation Model: SEM and the analysis of variables was conducted using computer
package program.Open-ended questionnaires and systematic content analysis were used to gain
qualitative data.
The result showed that an analysis of the structural equation model (SEM) and directed
variables showed that the experience of using electronic banking services had a negative impact
on the influence of subjective norms and the behavioral intention. It was shown that if users had
more experience in using electronic banking services, and their family members and peer groups
encountered negative experiences with online-banking, they would continue to use electronic
banking services. Once users had greater levels of trust and behavioral intention, they would use
more electronic banking services. Technological advances caused the cashless society, the
customers get fast service and they are convenient to receive the lower costs. The stakeholders
can check financial transactions. The government is able to collect taxes accurately and more
completely, resulting in the country's development.

References

Abadi H. R. D., Ranjbarian B., & Zade F. K. (2012). Investigate the customers' behavioral intention to use mobile banking based on TPB, TAM and perceived risk: A case study in meli bank. International Journal of Academic Research in Business and Social Sciences, 2(10), 312-322.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Alshehri, M., Drew, S, & Ghamdi, R. (2012). Analysis of citizens´ Acceptance for e-government services: Applying the UTAUT model. Proceeding of IADIS International Conference Theory and Practice in Modern Computing and Internet Applications and Research (pp. 69-17). Lisbon,Portugal.

Altin C., Kaya, A., & Ozlu, E. (2017). Determinants of mobile banking use: An extended TAM with perceived risk, mobility access, compatibility, perceived self-efficacy and subjective norm. Industrial Engineering in the Industry 4.0 Era. Proceeding of the Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2017 (pp. 225-238). Vienna, Austria.

Attuquayefio, S. N. B., Achampong, A. K., & Aryeetey, I. T. (2014). Extending TAM with social norm to model students' intentions to adopt ICT. European Scientific, 10(14), 435-446.

Bada, A. B., & Karupiah, P. (2014). Factors influencing customers’ trust in the use of automated teller machine (ATM) services in Soko to state, Nigeria. Journal of Advanced Review on Scientific Research, 3(1), 2289-7887.

Bank of Thailand. (2015). What is PromptPay?. Retrieved from https://www.bot.or.th/Thai/PaymentSystems/PSServices/PromptPay/Pages/default.aspx

Bank of Thailand. (2019). Statistics of Regional Economic and Finance. Retrieved fromhttps://www.bot.or.th/Thai/Statistics/RegionalEconFinance/Pages/default.aspx

Chaweesook, S., & Wongchaturaphat, S. (2012). Unified theory of acceptance and use of technology: UTAUT. KMITL Journal of Information Technology, 1(1), 4–6.

Chircu, A.M., & Kauffman, R.J. (2000). Reintermediation strategies in business-to-business electronic commerce. International Journal of Electronic Commerce, 4(4), 7-42.

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.

Chuchuen, C. (2016). The perception of mobile banking adoption: The study of behavioral, security, and trust in Thailand. International Journal of Social Science and Humanity, 6(7), 547-550.

Comrey, A. L., & Lee, H. B. (1992). A First Course in Factor Analysis. Hillsdale, New Jersey: Erlbaum.

Curran, J. M., & Lennon, R. (2011). Participation in the conversation: exploring usage of social media networking sites. Academy of Marketing Studies Journal, 15(1), 116-120.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of Information technology. Management Information Systems Quarterly, 13(3), 319-340.

Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods. New York: McGraw-Hill.

Division of Research Administration and Educational Quality Assurance. (2016). Thailand 4.0 Model to drive Thailand to prosperity, Stability and Sustainability. Retrieved from http://www.libarts.up.ac.th/v2/img/Thailand-4.0.pdf

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers A Journal of Research and Innovation, 21(96),1-16.

Forrester. (2017). Lackluster CX Poses Financial Risk For Banking Institutions, Retrieved from https://go.Forrester.com/

Gefen, D., Karahanna, E., & Detmar, W.(2003). Trust and TAM in online shopping: An integrated model. Management Information Systems Quarterly, 27(1), 51-90.

Gentile, C., Spiller, N., & Noci, G. (2007). How to sustain the customer experience: An overview of experience components that co-create value with the customer. European Management Journal, 25(5), 395-410,

Geo, R. G., Shaikh, A. A., & Karjaluoto, H. (2017). Mobile banking services adoption in pakistan: Are there gender differences? International Journal of Bank Marketing, 35(7), 1090-1114.

Goh, S. K., Ho, V. T., & Jiang N. (2015). The effect of electronic word of mouth on intention to book accommodation via online peer-to-peer platform: Investigation of theory of planned behavior. Journal of Internet Banking and Commerce, 2(5), 1-7.

Harsono, I. L. D., & Suryana, L. A. (2014). Factors affecting the use behavior of social media using UTAUT 2 model. Proceedings of the First Asia-Pacific Conference on Global Business, Economics, Finance and Social Sciences (pp. 1-14). Singapore. Internet World Stat Online. (2017). World Internet Users and 2017 Population Stats. Retrieved from http://www.internetworldstats.com/stats.htm

Jennings, G. R., Lee, Y. S., Ayling, A., Lunny, B., Cater, C., & Ollenburg, C. (2009). Quality tourism experiences: reviews, reflections, research agendas. Journal of Hospitality Marketing & Management, 18(2), 294–310.

Joo, Y. J., Joung, S., Shin, E. K., Lim, E., & Choi, M. (2014). Factors influencing actual use of mobile learning connected with e-learning. Proceedings of Third International Conference on Advanced Information Technologies & Applications Computer Science & Information Technology (pp. 169-176) . DOI: 10.5121/csit.2014.41116

Kaur, I. (2016). Evolution of electronic services (e-service) in banking systems. International Journal of Engineering Sciences & Research Technology, 5(12), 396-400.

Kaushik, A. K., Agrawal, A. K., & Rahman, Z. (2015). Tourist behaviortowards self-service hotel technology adoption: Trust and subjective norm as key antecedents. Tourism Management Perspectives, 16, 278-289.

Khandare, N. (2013). Security of online electronic transactions. International Journal of Technical Research and Applications, 1(5), 53-58.

Khermouch, G., & Green, J. (2001, July 30). Buzz Marketing: Suddenly this stealth strategy is hot – but it’s still fraught with risk. Business Week. Retrieved from http://www.businessweek.com .

Kraljic, A., & Pestek, A. (2016). An application of UTAUT2 model in exploring the impact of quality of technology on mobile internet. Journal of Economics and Business, 14(2), 66-76.

Larsen, S. (2007). Aspects of a psychology of the tourist experience. Scandinavian Journal of Hospitality and Tourism, 7(1), 7-18.

Lee, B. G., Kim, K. Y., & Song, J. S. (2010). Analyzing moderating effects of WiBro user experiences. The KSII Transactions on Internet and Information Systems, 5 (1), 177-190.

Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8, 130-141.

Lemon, K. N., Roberts, J. H., Raghubir, P., & Winer, R. S. (2011). Measuring the effects of corporate social responsibility: A stakeholder-based approach. Conference Board of Canada Director Notes, 3(7), 116-120.

Lewis, N. K., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 1-38.

Likert, R. (1970). A Technique for the Measurement of Attitude, Attitude Measurement. Chicago: Ronal McNally.

Malhotra, Y., & Galletta, D. F. (1999). Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the 32nd Hawaii International Conference on System Sciences (pp. 1-14). Maui, Hawaii, USA

Marakarkandy, D. B., Yajnik, N., & Dasgupta, C. (2016). Enabling internet banking adoption: An empirical

examination with an augmented technology acceptance model (TAM). Emerald Publishing Limited, 263-294.

Nunnally, J. C. (1978). Psychometric theory.(2nd ed.). New York: McGraw-Hill.

Nurittamont, W., & Charoenkitthanalap, S. (2018). The factors influence on technology acceptance and using service intention for payment of young consumers by qr code application trough smart phone. The Journal of Social Communication Innovation, 6(2), 40-50.

Office of the Electronic Transactions Commission. (2014). Financial transactions through smartphone, How secure is a smartphone? Bangkok: Office of The Permanent Secretary Ministry of Information and Communication Technology.

Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 59(4), 69-103.

Subcommittee on Propagation of Knowledge and Promotion Project for Electronic Transaction. (2016). Public Relations Guide Education and promotion project Transaction use electronics. 1-42.

United Nation Conference on Trade and Development. (2018).Trade and Development report2018,1-162.Retrieved from https://unctad.org/en/pages/PublicationWebflyer.aspx?publicationid=2227

Vayansky, I., & Kumar, S. (2018). Phishing challenges and solutions. Computer Fraud & Security, (1), 15-20.

Venkatesh, V., Morris, M., Davis, G. B., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 425-478.

Venkatesh, V., Thong, J. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. Management Information Systems Quarterly, 36(1), 157-158.

Yadav, R., Chauhan, V., &Pathak, G. (2015). Intention to adopt internet banking in an emerging economy: A perspective of Indian youth. International Journal of Bank Marketing, 33 (4),530-544.

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Published

2019-12-18

How to Cite

จันทร์วงษ์ อ., วิงวอน บ., & พิริยะกุล ม. (2019). The Mediation Influence of Trust and Experience of Electronic Banking Services on the Relationship among Subjective Norm Behavioral Intention and Actual Use. Journal of Business Administration The Association of Private Higher Education Institutions of Thailand, 8(2), 47–68. Retrieved from https://so02.tci-thaijo.org/index.php/apheitvu/article/view/230226