Composite Analysis of Mobile Banking Usage: Dimension and Construct Effect

Main Article Content

Chanta Jhantasana

Abstract

This study explores the dimension and construct effect of mobile banking usage on customer satisfaction and loyalty. The research done in previous studies only considered a dimensional or constructive effect. But the construct model cannot be expressed as a dimensional effect. Furthermore, the dimension connection cannot be defined as a construct effect. As a result, both levels should be subjected to hypothesis testing. Mobile banking usage model is measured using a composite model and a formative-formative type for second-order constructs, while customer satisfaction and loyalty are measured using a consistent partial least squares method (PLSc). The data were obtained from 400 students at Valaya Alongkorn Rajabhat University. The consequence of the dimensional effect shows that the influence of promotions, perceived usefulness, and perceived security has a substantial impact on customer satisfaction and loyalty. For the construct effect, the 7Ps organize the mobile banking usage model well, which significantly impacts customer satisfaction and loyalty.

Article Details

How to Cite
Jhantasana, C. . (2021). Composite Analysis of Mobile Banking Usage: Dimension and Construct Effect. Asia Social Issues, 15(5), 252257. https://doi.org/10.48048/asi.2022.252257
Section
Research Article

References

Adam, M. A., & Akber, S. N. (2016). The impact of brand equity on consumer purchase decisions of cell phones. European Journal of Business and Innovation Research, 4(4), 60-133.

Aguirre-Urreta, M. I., Rönkkö, M., & Marakas, G. M. (2016). Omission of causal indicators: consequences and implications for measurement. Measurement: Interdisciplinary Research and Perspectives, 14(3), 75-97.

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

Aksoy, L., Buoye, A., Aksoy, P., Larivière, B., & Keiningham, T. L. (2013). A cross-national investigation of the satisfaction and loyalty linkage for mobile telecommunications services across eight countries. Journal of Interactive Marketing, 27(1), 74-82.

Alnaser, F. M. I, Ghani, M. A., Rahi, S., Mansour, M., & Abed, H. (2017). The Influence of Services Marketing Mix (7Ps.) and Subjective Norms on Customer's Satisfaction in Islamic Banks of Palestine. European Journal of Business and Management, 9(27), 20-25.

Baabdullaha, A. M., Alalwanb, A. A., Ranac, C. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38-52.

Bambrough, B. (2020). The coronavirus crisis has changed money forever. Retrieved from http://www.Forbes.com.

Bank of Thailand. (2020). PS_PT_009 use of mobile banking and internet banking. Retrieved from https://www.bot.or.th/App/BTWS_STAT/statistics/BOTWEBSTAT.aspx?reportID=688&language=eng.

Beccalli, E. (2007). Does I.T. investment improve bank performance? Evidence from Europe. Journal of Banking & Finance, 31(7), 2205-2230.

Becker, J. M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Planning, 45(5-6), 359-394.

Berry, L. L. (1995). Relationship marketing of services-growing interest, emerging perspectives. Journal of the Academy of Marketing Science, 23, 236-245.

Bitner, M. J (1990) Evaluating service encounters: the effects of personal surroundings and employee responses, Journal of Marketing, 54(2), 69-82.

Boonsiritomachai, W., & Pitchayadejanant, K. (2017). Determinants affecting mobile banking adoption by generation Y based on the unified theory of acceptance and use of technology model modified by the technology acceptance model concept. Kasetsart Journal of Social Sciences, 40 (2019), 349-358.

Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of Business Research, 66, 105-114.

Brown, G., & Whittle, R. (2020). Money, money, money: Has COVID-19 changed society’s view of money forever? Opinion. Retrieved from https://www.hertford.ox.ac.uk/alumni/publications/hertford-blogs/money-money-money.

Calvo-Porral, C., & Nieto-Mengotti, M. (2019). The moderating influence of involvement with ICTs in mobile services. Spanish Journal of Marketing-ESIC, 23(1), 25-43.

Cheah, J., Tang, H., Ramayah, T., Menon, M. A., Cham, T. H., & Ciavolono, E. (2019). A comparison of five reflective–formative estimation approaches: Reconsideration and recommendations for tourism research. Qual Quant, 53, 1421-1458.

Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research. New Jersey: Lawrence Erlbaum Associates Publishers.

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.

Cocheo, S. (2020). Coronavirus crisis: The future of cash, checks, credit cards & crypto. Retrieved from http://www.thefinancialbrand.com.

Cocosila, M., & Trabelsi, H. (2016). An integrated value-risk investigation of contactless mobile payments adoption. Electronic Commerce Research and Applications, 20(1), 159-170.

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159.

Colgate, M., & Hedge, R (2001). An investigation into the switching process in retail banking services. The International Journal of Bank Marketing, 19(5), 201-212.

Coviello, N. E., Brodie, R. J., & Munro, H. J (1997). Understanding contemporary marketing: development of a classification scheme. Journal of Marketing Management, 13(6), 501-522.

Davis, F. D (1986). A technology acceptance model for empirically testing new end-user information system theory and results (Doctoral dissertations). USA: Massachusetts Institute of Technology.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 318-339.

Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: an empirical study of mobile instant messages in China? International Journal of Information Management, 30(4), 289-300.

Dijkstra, T. K., & Henseler, J. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational statistics & data analysis, 81, 10-23.

Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS quarterly, 39(2), 297-316.

Dwivedi, Y. K., Rana, N. P., & Jeyaraj, A. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21, 719-734.

Eshghi, A., Haughton, D., & Topi, H. (2007). Determinants of customer loyalty in the wireless telecommunications industry. Telecommunications Policy, 31(2), 93-106.

Farrell, A. M., & Rudd, J. M. (2009). Factor analysis and discriminant validity: A brief review of some practical issues. In D. Tojib (Ed.). Australia-New Zealand marketing academy conference. Australia: Australia-New Zealand Marketing Academy.

Ferrell, O. C., & Hartline, M. D. (2005). Marketing strategies. USA: Soth-western.

Fishbein, M., & Ajzen, I. (1975). Belief attitude, intention, and behavior: An introduction to theory and research. MA, USA: Addison-Wesley.

Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega-International Journal of Management Science, 28, 725-737.

Gerpott, T. J., Rams, W., & Schindler, A. (2001). Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market. Telecommunications Policy, 25(4), 249-269.

Gerrard, P., & Cunningham, J. B. (2004). Consumer switching behavior in the Asian banking market. Journal of Services Marketing, 18(3), 215-223.

Goi, C. L. (2009). A review of the marketing mix: 4Ps or more? International Journal of Marketing Studies, 1(1), 2.

Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213-236.

Grönroos, C. (1994). Quo Vadis, marketing? Toward a relationship marketing paradigm. Journal of Marketing Management, 10(5), 347-360.

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.

Gupta, A., & Dev, S. (2012). Client satisfaction in Indian banks: An empirical study. Management Research Review, 35(7), 617-636.

Guriting, P., & Ndubisi, N. (2006). Borneo online banking: Evaluating customer perceptions and behavioral intention. Management Research News. 29, 6-15.

Hagger, M. S., Gucciardi, D. F., & Chatzisarantis, N. L. D. (2017). On nomological validity and auxiliary assumptions: The importance of simultaneously testing effects in social cognitive theories applied to health behavior and some guidelines. Frontiers in Psychology, 8, 1-14.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. (7th eds.). Upper Saddle River, USA: Pearson Education.

Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616-632.

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.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results, and higher acceptance. Long Range Planning, 46, 1-12.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: Sage Publications.

Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62-78.

Henseler, J. (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of advertising, 46(1), 178-192.

Henseler, J., & Dijkstra, T. K. (2015). ADANCO 2.0. Kleve: Composite modeling. Retrieved from http://www. compositemodeling.com

Henseler, J., & Schuberth, F. (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147-156.

Henseler, J., Müller, T., & Schuberth, F. (2018). New guidelines for the use of PLS path modeling in hospitality, travel, and tourism research. Journal of Hospitality and Tourism Technology, 9(3), 249-266

Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.

Henseler, J., Wilson, B., Götz, O., & Hautvast, C. (2007). Investigating the moderating role of fit on sports sponsorship and brand equity. International Journal of Sports Marketing and Sponsorship. 8(4), 321-329.

Hoffmann, A. O. I. & Birnbrich, C. (2012). The impact of fraud prevention on bank-customer relationships: An empirical investigation in retail banking. International Journal of Bank Marketing, 30(5), 390-407.

Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.

Hubona, G. S., Schuberth, F., & Henseler, J. (2021). A clarification of Confirmatory Composite Analysis (CCA). International Journal of Information Management, 61, 102399.

Humbani, M., & Wiese, M. (2019). An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing, 37(2), 646-664.

Jaakkola, E., Helkkula, A., & Aarikka-Stenroos, L. (2015). Service experience co-creation: Conceptualization, implications, and future research directions. Journal of Service Management, 26(2), 182-205.

Kelly, A. E., & Palaniappan, S. (2019). Survey on customer satisfaction, adoption, perception, behavior, and security on mobile banking. Journal of Information Technology & Software Engineering, 9(2), 1-15.

Keshavarz, Y., & Jamshidi, D. (2018). Service quality evaluation and the mediating role of perceived value and customer satisfaction in customer loyalty. International Journal of Tourism Cities, 4(2), 220-244.

Kibicho, N. K., & Mungai, J. (2019). Mobile banking adoption and financial credit accessibility in wote sub-county, Makueni county, Kenya. International Journal of Current Aspects, 3(IV), 65-79.

Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19, 283-311.

Kotler, P., & Armstrong, G. (2010). Principles of marketing. New Jersey: Pearson education.

Kotler, P., Kartajaya, H., & Setiawan, I. (2010). Marketing 3.0: From products to customers to the human spirit. U.S.: John Wiley & Sons.

Krasnikov, A., Jayachandran, S., & Kumar, V. (2009). The impact of customer relationship management implementation on cost and profit efficiencies: evidence from the U.S. commercial banking industry. Journal of Marketing, 73(6), 61-76.

Kushwaha, G. S., & Agrawal, S. R. (2015). An Indian customer surrounding 7P’ s of service marketing. Journal of Retailing and consumer services, 22, 85-95.

Lafraxo, Y., Hadri, F., Amhal, H., & Rossafi, A. (2018). The effect of trust, perceived risk, and security on the adoption of mobile banking in Morocco (pp. 497-502). In Proceedings of the 20th International Conference on Enterprise Information Systems. Portugal: Institute for Systems and Technologies of Information, Control and Communication.

McCarthy, E. J. (1964). Basic marketing: A managerial approach. IL: Richard D. Irwin.

Mehrad, D., & Mohammadi, S. (2017). Word of mouth impact on the adoption of mobile banking in Iran. Telematics and Informatics, 34(7), 1351-1363.

Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and I.S. success model. Computers in human behavior, 45, 359-374.

Mullan, J., Bradley, L., & Loane, S. (2017). Bank adoption of mobile banking: a stakeholder perspective. International Journal of Bank Marketing, 35(7), 1154-1174.

Munoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2016). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing, 21, 25-38.

Nysveen, H., Pedersen, P. E., & Thorbjernsen, H. (2005). Explaining intention to use mobile chat services: Moderating effects of gender. The Journal of Consumer Marketing, 22(4). 247-256.

Oliver, R. L (1999) Whence Customer Loyalty? Journal of Marketing, 63(Special Issue), 33-44.

Ong, C. S., Laia, J. Y., & Wang, Y. S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41, 795-804.

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(3), 224-235.

Pour, B. S., Nazari, K., & Emani, M. (2013). The effect of marketing mix in attracting customers: Case study of Sederat Bank in Kermanshah province. African Journal of Business Management, 7(34), 3272-3276.

Pourdehghan, A. (2015). The impact of marketing mix elements on brand loyalty: A case study of mobile phone industry. Marketing and Branding Research, 2(1), 44-63.

Preko, A., Doe, F., & Dadzie, S. A. (2019). The future of youth tourism in Ghana: motives, satisfaction, and behavioral intentions. Journal of Tourism Futures, 5(1), 5-21.

Puriwat, W., & Tripopsakul, S. (2017). Mobile banking adoption in Thailand: an integration of technology acceptance model and mobile service quality. European Research Studies Journal, xx(4A), 200-210.

Rigdon, E. E. (2012). Rethinking partial least squares path modeling: In praise of simple methods. Long range planning, 45(5-6), 341-358.

Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor’s comments: A critical look at the use of PLS-SEM in MIS Quarterly. MIS quarterly, iii-xiv.

Riskinanto, A., Kelana, B., & Hilmawan, D. R. (2017). The moderation effect of age on adopting e-payment technology. Procedia Computer Science, 124, 536-543.

Rogers, E. M. (1995). The diffusion of innovation (4th eds.). New York: Free Press.

Rönkkö, M., & Evermann, J. (2013). A critical examination of common beliefs about partial least squares path modeling. Organizational Research Methods, 16(3), 425-448.

Sarstedt, M., Hair Jr, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197-211.

Schuberth, F., Rademaker, M., & Henseler, J. (2020). Estimating and assessing second- order constructs using PLS-PM: the case of composites of composites. Industrial Management & Data Systems, 120(12), 2211-2241.

Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and informatics, 32(1), 129-142.

Shanker, R. (2002). Services marketing. India: Excel Books.

Singh, S., Srivastava, V., & Srivastava, R. K. (2010). Customer acceptance of mobile banking: A conceptual framework. SIES Journal of Management, 7(1), 55-64.

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, 58-84.

Sripalawat, J., Thongmak, M., & Ngramyarn, A. (2011). M-banking in metropolitan Bangkok and a comparison with other countries. Journal of Computer Information Systems, 51(3), 67-76.

Statista (2020). E.U. member states with the most cashless payment transactions in 2018. Retrieved from https://www.statista.com/statistics/276233/eu-member-states-with-the-most-cashless-payment-transactions/.

Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.

Taherdoost, H., Sahibuddin, S., & Jalaliyoon, N. (2014). Features’ evaluation of goods, services, and e-services; electronic service characteristics exploration. Procedia Technology, 12, 204-211.

Tam, C., & Oliveira, T. (2016). Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior, 61, 233-244.

Tam, C., & Oliveira, T. (2017). Literature review of mobile banking and individual performance. International Journal of Bank Marketing, 35, 1044-1067.

Van Riel, A. C., Henseler, J., Kemény, I., & Sasovova, Z (2017) Estimating hierarchical constructs using consistent partial least squares. Industrial Management & Data Systems, 117(3), 459-477.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their roles in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139.

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

Veríssimo, J. M. C. (2016). Enablers and restrictors of mobile banking app use: A fuzzy set qualitative comparative analysis (fsQCA). Journal of Business Research, 69(11), 5456-5460.

Wicks, A. M., & Roethlein, C. J. (2009). A satisfaction-based definition of quality. Journal of Business & Economic Studies, 15(1), 82-97.

Wold, H. (1982). Soft modeling: The basic design and some extensions (pp. 1-54). In Jöreskog, K. G., & Wold, H. (Eds.). In systems under indirect observation: Causality, structure, prediction (Volume 2). Amsterdam: North-Holland.

Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-729.

Zeithaml, V., Bitner, M., & Gremler, D. (2006). Services marketing: Integrating customer focus across the firm (4th ed.). USA: McGraw-Hill.