Abstract
The present study investigates the factors affecting the intention to adopt and recommend technology to others: based on the Unified Theory of Acceptance and Use of Technology. This applied research is descriptive-analytical in terms of data collection. According to the analytical model presented in this research, the environmental characteristics of websites are more important in the early stages of the online shopping process. The information on a website is critical to examine a product with customers’ criteria or needs. An attractive website creates a more positive feeling in the audience, keeps users on the website for a more extended period, and attracts new customers. Also, as part of both the emotional and logical aspects of using technology, individual factors influence the intention to adopt and recommend Internet banking by customers. In the realm of e-commerce, how environmental and individual characteristics affect user intent is still challenging. After data collecting and hypotheses tested, it was concluded that also in this research, these factors affect the acceptance and recommendation of internet banking to others.
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References
Agarwal, R. (2000). Individual acceptance of information technologies. Framing the domains of IT management: Projecting the future through the past, 85-104.
Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology. Journal of Business Research, 67(11), 2282–2290.
Alwahaishi, S., & Snásel, V. (2013). Acceptance and use of information and communications technology: a UTAUT and flow-based theoretical model. Journal of Technology Management & Innovation, 8(2), 61–73.
Baabdullah, A. M., Alalwan, A. A., Rana, N. 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.
Brown, S. A., Dennis, A. R., & Venkatesh, V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of Management Information Systems, 27(2), 9–54.
Bùi, T. T. H., & Bùi, H. T. (2018). Gamification impact on the acceptance of mobile payment in Ho Chi Minh City, Vietnam. International Journal of Social Science and Economic Research, 3(9), 4822–4837.
Celik, H. (2016). Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework. Asia Pacific Journal of Marketing and Logistics, 28(2), 278–307.
Chedrawi, C., Harb, B., & Saleh, M. (2019). The E-banking and the adoption of innovations from the perspective of the transactions cost theory: Case of the largest commercial banks in Lebanon. In ICT for a Better Life and a Better World (pp. 149–164). Springer, Cham.
Demoulin, N. T., & Djelassi, S. (2016). An integrated model of self-service technology (SST) usage in a retail context. International Journal of Retail & Distribution Management, 44(5), 540–559.
Floh, A., & Treiblmaier, H. (2006). What keeps the e-banking customer loyal? A multigroup analysis of the moderating role of consumer characteristics on e-loyalty in the financial service industry. A Multigroup Analysis of the Moderating Role of Consumer Characteristics on E-Loyalty in the Financial Service Industry. (March 26, 2006).
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research 18.1, 39–50.
Hartman, J. B., & Samra, Y. M. (2008). Impact of personal values and innovativeness on hedonic and utilitarian aspects of web use: An empirical study among United States teenagers. International Journal of Management 25.1, 77.
He, D., & Lu, Y. (2007, September). Consumers perceptions and acceptances towards mobile advertising: an empirical study in China. In 2007 International Conference on Wireless Communications, Networking and Mobile Computing (pp. 3775–3778). IEEE.
Holloway, B. B., & Beatty, S. E. (2008). Satisfiers and dissatisfiers in the online environment: A critical incident assessment. Journal of Service Research, 10(4), 347–364.
Jin, L. Y., Osman, A., Romle, A. R., & Haji-Othman, Y. (2015). Attitude towards online shopping activities in Malaysia public university. Mediterranean Journal of Social Sciences, 6(2 S1), 456.
Kombe, S. K., & Wafula, M. K. (2015). Effects of internet banking on the financial performance of commercial banks in Kenya a case of Kenya Commercial Bank. International Journal of Scientific and Research Publications 5.5, 1–10.
Kuo, Y. F. & Yen, S. N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103–110.
Lee, K., Yan, A., & Joshi, K. (2011). Understanding the dynamics of users' belief in software application adoption. International Journal of Information Management, 31(2), 160–170.
Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604–5620.
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13.
Miltgen, C. L., Popovič, A., & Oliveira, T. (2013). Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context. Decision support systems, 56, 103–114.
Mun, Y. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & Management, 43(3), 350–363.
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414.
Park, J., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing and Consumer Services, 47, 140–149.
Rahi, S., & Ghani, M. (2016). Internet banking, customer perceived value and loyalty: The role of switching costs. J Account Mark, 5.4, 188.
Rahi, S., & Ghani, M. A. (2018). A structural equation modeling (SEM-AMOS) for investigating brand loyalty and customer’s intention towards adoption of internet banking. Economic and Social Development: Book of Proceedings, 206–220.
Rahi, S., & Ghani, M. A. (2018). Investigating the role of e-service quality and brand image in internet banking acceptance context with structural equation modeling (SEM-PLS). Economic and Social Development: Book of Proceedings, 427–442.
Rahi, S., Ghani, M. A., & Ngah, A. H. (2019). Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan. Technology in Society.
Rana, A., Kalla, P., Verma, H., & Mohnot, J. (2016). Recycling of dimensional stone waste in concrete: A review. Journal of Cleaner Production, 135, 312–331.
RamĂrez-Correa, P., Rondán-Cataluña, F. J., Arenas-Gaitán, J., & MartĂn-Velicia, F. (2019). Analyzing the acceptation of online games in mobile devices: An application of UTAUT2. Journal of Retailing and Consumer Services, 50, 85–93.
Raza, S. A., & Hanif, N. (2011). Factors affecting internet banking adoption among internal and external customers: a case of Pakistan.
Rodrigues, L. F., Oliveira, A., & Costa, C. J. (2016). Playing seriously–How gamification and social cues influence bank customers to use gamified e-business applications. Computers in Human Behavior, 63, 392-407.
Shen, Y. C., Huang, C. Y., Chu, C. H., & Hsu, C. T. (2010). A benefit-cost perspective of the consumer adoption of the mobile banking system. Behaviour & Information Technology, 29(5), 497–511.
Thakur, R., & Srivastava, M. (2015). A study on the impact of consumer risk perception and innovativeness on online shopping in India. International Journal of Retail & Distribution Management, 43(2), 148–166.
Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2010). An assessment of customers'e-service quality perception, satisfaction and intention. International Journal of Information Management, 30(6), 481–492.
Van Der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information and Management, 40(6), 541–549.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision sciences 27.3, 451–481.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157–178.
Walker, P. R. (2011). How does website design in the e-banking sector affect customer attitudes and behavior? (Doctoral dissertation, University of Northumbria).
Wang, H. I., & Yang, H. L. (2005). The role of personality traits in UTAUT model under online stocking. Contemporary Management Research, 1(1), 69–82.
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Kimiagari, S., Balef, E.K., Malafe, N.S.A. (2022). Study of the Factors Affecting the Intention to Adopt and Recommend Technology to Others: Based on the Unified Theory of Acceptance and Use of Technology (UTAUT). In: Allen, J., Jochims, B., Wu, S. (eds) Celebrating the Past and Future of Marketing and Discovery with Social Impact. AMSAC-WC 2021. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-030-95346-1_101
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