The Causal Model of Factors Influencing Technology Acceptance and Intention to Use Online Shopping Services in Modern Trade
Keywords:
Social Influence, User Interface Design, Technology Acceptance, Commitment, Intention to useAbstract
The purposes of this research were 1) to study the impact of social influence and user interface design on technology acceptance in terms of perceived usefulness and perceived ease of use of online shopping services in modern trade, 2) to analyze the path of commitment and intention to use online shopping services in modern trade, and 3) to test the goodness of fit of the causal model of factors influencing technology acceptance in terms of perceived usefulness, perceived ease of use, commitment, and intention to use online shopping services in modern trade. The sample of this research was 440 respondents who had experience of online shopping. The questionnaire was selected as the tool for this research. Descriptive statistics were used to analyze the data, and structural equation modeling (SEM) was used to test the research hypothesis. The result revealed that the structural equation model is consistent with the empirical data. The results of hypothesis testing show that social influences and user interface design have a positive impact on technology acceptance in terms of perceived usefulness and perceived ease of use. Moreover, technology acceptance in terms of perceived usefulness also has a positive impact on commitment. Additionally, social influences and user interface design have an indirect effect on commitment through technology acceptance in terms of perceived usefulness, and commitment has a positive impact on the intention to use online shopping services in modern trade.
References
Abu-Dalbouh, H. M. (2013). A questionnaire approach based on the technology acceptance model for mobile tracking on patient progress applications. Journal of Computer Science, 9(6), 763–770.
Agag, G., & El-Masry, A. A. (2016). Understanding the determinants of hotel booking intentions and moderating role of habit. International Journal of Hospitality Management, 54(4), 52-67.
Amaro, S., Andreu, L., & Huang, S. (2018). Millenials’ intentions to book on Airbnb. Current Issues in Tourism, 22(18), 1-15.
Bashir, I., & Madhavaiah, C. (2014). Consumer attitude and behavioral intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102.
Bhat, S. A., Islam, S. B., & Lone, U. M. (2021). Antecedents and consequences of online buying behavior: a mediation study. South Asian Journal of Business Studies, 10(2), 1-25.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
Bonn, M. A., Kim, W. G., Kang, S., & Cho, M. (2016). Purchasing wine online: The effects of social influence, perceived usefulness, perceived ease of use, and wine involvement. Journal of Hospitality Marketing & Management, 25(7), 841-869.
Cao, Q., & Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69(1), 9-13.
Celik, H. (2010). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping An empirical study in the Turkish context. International Journal of Retail & Distribution Management, 39(6), 390-413.
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government adoption: Testing the mediating effects of perceived usefulness and perceived ease of use. International Journal of Public Administration, 43(10), 850-865.
Cheng, E., Lam, Y., & Yeung, C. (2006). Intention to use of internet banking: an empirical study in Hong Kong. Decision Support Systems, 42(3), 1558-1572.
Chhonker, M., Verma, D., & Kar, A. (2017). Review of technology adoption frameworks in mobile commerce. Procedia Computer Science, 122(1), 888-895.
Cho, V., Cheng, T. C. E., & Lai, W. M. J. (2009). The role of perceived user-interface design in continued usage intention of self-paced e-learning tools. Computers & Education, 53(2), 216-27.
Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55(February), 591–621.
Coskun, M., & Mardikyan, S. (2016). Predictor factors for actual usage of online evaluation and assessment systems: A structural equation model (SEM) study. Education and Science, 41(188), 131-152.
Cronbach, J. L. (1990). Essentials of psychological testing. New York: Harper and Row.
Cyr, D., Kindra, G. S., & Dash, S. (2008). Web site design, trust, satisfaction and e-loyalty: the Indian experience. Online Information Review, 32(6), 773-790.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
Elbeltagi, I., & Agag, G. (2016). E-retailing ethics and its impact on customer satisfaction and repurchase intention: a cultural and commitment-trust theory perspective. Internet Research, 26(1), 288-310.
Fornell, C., & Larker, D. G. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Hair, J. F., Money, A. H., Samouel, P., & Page, M. (2007). Research methods for business. West Sussex: John Wiley & Sons.
Hair, J. F., Black, W., Babin, J. B., & Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective. New Jersey: Upper Sandle River, Prentice Hall.
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.
Hume, M., & Gillian Sullivan, M. (2018). The consequence of appraisal emotion, service quality, perceived value and customer satisfaction on repurchase intent in the performing arts. Journal of Services Marketing, 24(2), 170–182.
Hur, W., Ahn, K., & Kim, M. (2011). Building brand loyalty through managing brand community commitment. Manage Decision, 49(7), 1194–1213.
Kesharwani, A., & Tripathy, T. (2012). Dimensionality of perceived risk and its impact on internet banking adoption: an empirical investigation. Services Marketing Quarterly, 33(2), 177-193.
Khare, A., & Singh, S. (2012). Exploring attitude of Indian consumers towards internet banking. International Journal of Business Competition and Growth, 2(1), 4-20.
Kim, K. H., Kim, K. S., Kim, D. Y., Kim, J. H., & Kang, S. H. (2008). Brand equity in hospital marketing. Journal of Business Research, 61(1), 75-82.
Kim, M. J., & Kim, W. G. (2015). Does knowledge matter to seniors’ usage of mobile devices? Focusing on motivation and attachment. International Journal of Contemporary Hospitality Management, 28(8), 1702-1727.
Korzaan, M., & Brooks, N. (2015). The binding and blinding influence of project commitment. Information Resources Management Journal, 29(1), 57-74.
Krungsri Research (2021). Modern Trade Business. Retrieved from https://www.krungsri.com/th/ research/industry/industry-outlook/Wholesale-Retail/Modern-Trade/IO/io-modern-trade-21.
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(3), 130-141.
Liang, L. J., Choi, H. C., & Joppe, M. (2018). Exploring the relationship between satisfaction, trust and switching intention, repurchase intention in the context of Airbnb. International Journal of Hospitality Management, 69(1), 41-48.
Liu, I. F., Chen, M., Sun, Y., & Wible, D. (2010). Extending the TAM model to explore the factors that affect intention to use an online learning community. Computers & Education, 54(2), 600-610.
Min, S., So, K. K. F., & Jeong, M. (2019). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. Journal of Travel & Tourism Marketing, 36(7), 770-783.
Moorman, C., Zaltman, G., & Deshpande, R. (1992), Relationships between providers and users of marketing research: the dynamics of trust within and between organizations. Journal of Marketing Research, 29(3), 314-329.
Morosan, C. (2012). Theoretical and empirical considerations of guests’ perceptions of biometric systems in hotels: Extending the technology acceptance model. Journal of Hospitality & Tourism Research, 36(1), 52–84.
Mouakket, S., & Bettayeb, A. M. (2015). Investigating the factors influencing continuance usage intention of learning management systems by university instructors: The Blackboard system case. International Journal of Web Information Systems, 11(4), 491–509.
Mukherjee, A., & Nath, P. (2003). A model of trust in online relationship banking. International Journal of Bank Marketing, 21(1), 5–15.
Nguyen, H. V., Tran, H. X., Van Huy, L., Nguyen, X. N., Do, M. T., & Nguyen, N. (2020). Online book shopping in Vietnam: The impact of the COVID-19 pandemic situation. Publishing Research Quarterly, 36(3), 437-445.
Office of National Economic and Social Development Council. (2021). The National Economic and Social Development Plan. Retrieved from https://www.nesdc.go.th/nesdb_en/ewt_w3c/ more_news.php?filename=develop_issue&cid=230
Oloveze, A. O., Ukeh O. O., Nwosu, H. E., & Obasi, R. O. (2021). How user behaviour is moderated by affective commitment on point of sale terminal. Rajagiri Management Journal, 15(2), 1-19.
Pelaez, A., Chen, C., Chen, Y. X., & Pelaez, A. (2019). Effects of perceived risk on intention to purchase: a meta-analysis. Journal of Computer Information Systems, 59(1), 73-84.
Prasithrattasin S. (2007). Statistics for social science research. Bangkok: Thai Wattanapanit Printing Press. (In Thai).
Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality, 15(6), 509-538.
Rajic, T., Rakic, A., & Milosevic, I. (2020). Modeling health care customer satisfaction: evidence from Serbia. Serbian Journal of Management, 16(1), 125-145.
Rehman, S. U., Bhatti, A., Mohamed, R., & Ayoup, H. (2019). The moderating role of trust and commitment between consumer purchase intention and online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research, 9-43(1), 1-25.
Rice, R. E., Grand, A. E., Schmitz, J., & Torobin, J. (1990). Individual and network influences on the adoption and perceived outcomes of electronic messaging. Social Networks, 12(1), 27–55.
Rovinelli, R. J., & Hambleton, R. K. (1977). On the use of content specialists in the assessment of criterion-referenced test item validity. Dutch Journal of Educational Research, 2(2), 49-60.
Suh, B., & Han, I. (2002). Effect of trust on consumer acceptance of internet banking. Electronic Commerce Research and Applications, 1(3/4), 247-263.
Susanto, T. D., & Aljoza, M. (2015). Individual acceptance of e-government services in a developing country: Dimensions of perceived usefulness and perceived ease of use and the importance of trust and social influence. Procedia Computer Science, 72(1), 622–629.
Terzis, V., & Economides, A. A. (2011). The acceptance and use of computer based assessment. Computers & Education, 56(4), 1032–1044.
Than, C. R., & Grandon, E. (2002). An exploratory examination of factors affecting online sales. Journal of Computer Information Systems, 42(3), 87-93.
Trinh, H. N., Tran, H. H., & Vuong, D. H. Q. (2020). Determinants of consumers’ intention to use credit card: a perspective of multifaceted perceived risk. Asian Journal of Economics and Banking, 4(3), 105-120.
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425-478.
Walker, H. R., & Johnson, W. L. (2006). Why consumers use and do not use technology-enabled services. Journal of Services Marketing, 20(2), 125-135.
Yalcin, M. E., & Kutlu, B. (2019). Examination of students’ acceptance of and intention to use learning management systems using extended TAM. British Journal of Educational Technology, 50(5), 2414–2432.
Zhao, X., Mattila, A. S., & Tao, L. S. E. (2007). The role of post-training self-efficacy in customers’ use of self-service technologies. International Journal of Service Industry Management, 19(4), 492-505.
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