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- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS, ESCI
ISSN : 1738-3110
An investigation of Generation Z’s Intention to use Electronic Wallet in Vietnam
DO, Hai Ninh Thi
Abstract
Purpose: There has been a growing focus on E-wallet adoption especially in emerging markets as it offers a convenient method for users to conduct cashless transactions. This study examines antecedents influencing the decision of Generation Z to adopt E-wallet. It looks into the effect of determining factors including compatibility, perceived convenience, perceived trust, perceived reputation, perceived usefulness, perceived ease of use and social influence on users' intention to use. The moderator role of social influence is also under examination. Research design, data and methodology: The quantitative method has been adopted to collect data from 170 Generation Z users. SmartPLS 3.0 was applied to examine the constructed hypotheses. Results: The results indicate an indirect effect between Compatibility, Perceived Ease of Use, Perceived Trust and Social Influence toward intention to adopt Electronic wallet, or both of those factors are mediated by Perceived Convenience, Perceived Usefulness, and Reputation. Moreover, research finding highlights the role of Perceived Usefulness as Generation Z's intention determinant to use E-Wallet. Conclusions: This study is substantial as it selected the promising customer segment - Generation Z to examine the factors influencing their decision to adopt Electronic wallet. Marketers can navigate which dimensions should be included in marketing campaigns to encourage Generation Z's adoption.
- keywords
- Electronic Wallet (E-wallet), Generation Z, Intention to Use
Reference
Abdul, W. K., Gaur, S. S., & Peñaloza, L. N. (2012). The determinants of customer trust in buyer–seller relationships:An empirical investigation in rural India. Australasian Marketing Journal, 20(4), 303-313.
Agmeka, F., Wathoni, R. N., & Santoso, A. S. (2019). The Influence of Discount Framing towards Brand Reputation and Brand Image on Purchase Intention and Actual Behaviour in e-commerce. Procedia Computer Science, 161(1), 851-858.
Anderson, C. & Gerbing, W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.
Ayeh, J. K., Au, N., & Law, R. (2013). “Do we believe in TripAdvisor?” Examining credibility perceptions and online travellers’ attitude toward using user-generated content. Journal of Travel Research, 52(4), 437-452.
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(1), 38-52.
Bananuka, J., Kasera, M., Najjemba, G. M., Musimenta, D.,Ssekiziyivu, B., & Kimuli, S. N. L. (2019). Attitude: mediator of subjective norm, religiosity and intention to adopt Islamic banking. Journal of Islamic Marketing, 11(1), 81-96.
Bianchi, E., Bruno, J. M., & Sarabia-Sanchez, F. J. (2019). The impact of perceived CSR on corporate reputation and purchase intention. European Journal of Management and Business Economics, 28(3), 206-221.
Bui, T. N. (2020). Financial Development in Vietnam: An Overview. The Journal of Asian Finance, Economics, and Business, 7(9), 169-178.
Byun, S., & Kyung, M. S. (2020). Effects of the Attributes of Mobile Shopping Apps on Purchase Intention of Fashion Products. The Journal of Industrial Distribution & Business, 11(1), 49-57.
Casaló, L., Flavián, C., & Guinalíu, M. (2008). The role of perceived usability, reputation, satisfaction and consumer familiarity on the website loyalty formation process. Computers in Human behavior, 24(2), 325-345.
Chandra, S., Srivastava, S. C., & Theng, Y. L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis. Communications of the association for information systems, 27(1), 561-588.
Cheng, Y. M. (2015). Towards an understanding of the factors affecting m-learning acceptance: Roles of technological characteristics and compatibility. Asia Pacific Management Review, 20(3), 109-119.
Chiang, H. S. (2013). Continuous usage of social networking sites:The effect of innovation and gratification attributes. Online Information Review, 37(6), 851-871.
Choi, B. N., & Yang, H. C. (2018). A Study on Revitalization of Revenue through Difference of Consumer Perception of Characteristics of Mobile Social Commerce. The Journal of Business Economics and Environmental Studies, 8(1), 31-38.
Dang, T. T. (2020). Current situation of Crytocurrency in Vietnam. The Journal of Business Economics and Environmental Studies, 9(4), 29-34.
Dang, T. T., & Vu, H. Q. (2020). Fintech in Microfinance: a new direction for Microfinance institutions in Vietnam. The Journal of Business Economics and Environmental Studies, 10(3), 13-22.
Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319 - 340.
Dutot, V., Bhatiasevi, V., & Bellallahom, N. (2019). Applying the technology acceptance model in a three-countries study of smartwatch adoption. The Journal of High Technology Management Research, 30(1), 1-14.
Dziallas, M., & Blind, K. (2019). Innovation indicators throughout the innovation process: An extensive literature analysis. Technovation, 80(1), 3-29.
Fornell, C. & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Glavee-Geo, R., 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.
Groß, M. (2018). Mobile shopping loyalty: the salient moderating role of normative and functional compatibility beliefs. Technology in Society, 55(1), 146-159.
Hair, J. F. (2010). Multivariate data analysis: A global perspective. Upper Saddle River, N.J: Pearson.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80(1), 197-206.
Hapsari, R., Clemes, M. D., & Dean, D. (2017). The impact of service quality, customer engagement and selected marketing constructs on airline passenger loyalty. International Journal of Quality and Service Sciences, 9(1), 21-40.
He, M. G., Kim, H. K., & Lee, J. H. (2019). Influence on the Use Intention of Alipay Payment Service by Chinese Tourists Visiting Korea. The Journal of Industrial Distribution &Business, 10(11), 7-13.
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & management, 48(1), 1-8.
Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information technology and management, 1(2), 45-71.
Jung, J., Byun, S., & Kim, M. S. (2019). Perceived Innovation Attributes and Acceptance of Chatbots as Determined by Consumer Characteristics. Journal of Industrial Distribution &Business:: Vol, 10(7), 39-48.
Kim, M. J., Kim, W. G., Kim, J. M., & Kim, C. (2016). Does knowledge matter to seniors? usage of mobile devices? focusing on motivation and attachment. International Journal of Contemporary Hospitality Management, 28(8), 1702-1727.
Lai, I. K. W. (2019). Hotel image and reputation on building customer loyalty: An empirical study in Macau. Journal of Hospitality and Tourism Management, 38(1), 111-121.
Lee, J. S., & Back, K. J. (2010). Examining antecedents and consequences of brand personality in the upper-upscale business hotel segment. Journal of Travel & Tourism Marketing, 27(2), 132-145.
Lestari, D. (2019). Measuring e-commerce adoption behaviour among Gen-Z in Jakarta, Indonesia. Economic Analysis and Policy, 64(1), 103-115.
Lien, N. T. K., Doan, T. T. T., & Bui, T. N. (2020). Fintech and Banking: Evidence from Vietnam. The Journal of Asian Finance, Economics, and Business, 7(9), 419-426.
Lishomwa, L., & Phiri, J. (2020). Adoption of Internet Banking Services by Corporate Customers for Forex Transactions Based on the TRA Model. Open Journal of Business and Management, 8(1), 329-345.
Liu, D., & Li, M. (2019). Exploring new factors affecting purchase intention of mobile commerce: Trust and social benefit as mediators. International Journal of Mobile Communications, 17(1), 108-125.
Liu, G. S., & Tai, P. T. (2016). A study of factors affecting the intention to use mobile payment services in Vietnam. Economics, 4(6), 249-273.
Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58-73.
Madan, K. & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 8(3), 227-244.
Matemba, E. D., & Li, G. (2018). Consumers’ willingness to adopt and use WeChat wallet: An empirical study in South Africa. Technology in Society, 53(1), 55–68.
Mensah, I. K. (2020). Perceived Usefulness and Ease of Use of Mobile Government Services. International Journal of Technology Diffusion, 11(1), 1–16.
Nguyen, D. D., Dinh, H. C., & Nguyen, D. V. (2020). Promotion of Fintech Application for the Modernization of BankingFinance System in Vietnam. The Journal of Asian Finance, Economics, and Business, 7(6), 127-131.
Nguyen, T. T., Nguyen, H. T., Mai, H. T., & Tran, T. T. M. (2020). Determinants of Digital Banking Services in Vietnam:Applying UTAUT2 Model. Asian Economic and Financial Review, 10(6), 680-697.
Oh, W. K., & Lee, W. J. (2020). A Study on the Opt-in Marketing. The Journal of Industrial Distribution & Business, 11(2), 49-59.
Okazaki, S., & Mendez, F. (2013). Exploring convenience in mobile commerce: Moderating effects of gender. Computers in Human Behavior, 29(3), 1234-1242.
Olsen, C. (2008). Is contactless payment a reality for the retail industry?. Card Technology Today, 20(11), 10-19.
Olsen, S. O., & Mai, H. T. X. (2013). Consumer participation: The case of home meal preparation. Psychology &Marketing, 30(1), 1-11.
Ozkan, M., & Solmaz, B. (2015). Mobile addiction of generation z and its effects on their social lives: An application among university students in the 18-23 age group. Procedia-Social and Behavioral Sciences, 20(5), 92-98.
Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6), 1350–1359.
Pappas, N. (2016). Marketing strategies, perceived risks, and consumer trust in online buying behaviour. Journal of Retailing and Consumer Services, 29(1), 92-103.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India:Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54(1), 102-114.
Phuong, N. N. D., Luan, L. T., Dong, V. V., & Khanh, N. L. N.(2020). Examining Customers' Continuance Intentions towards E-wallet Usage: The Emergence of Mobile Payment Acceptance in Vietnam. The Journal of Asian Finance, Economics, and Business, 7(9), 505-516.
Priporas, C. V., Stylos, N., & Fotiadis, A. K. (2019). Generation Z consumers' expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77(1), 374-381.
Rahmi, M., Azma, N., Obad, F. M., Zaim, M., & Rahman, M.(2020). Perceptions of Islamic banking products: Evidence from Malaysia. The Journal of Business Economics and Environmental Studies, 10(3), 35-42.
Riquelme, I. P., Román, S., Cuestas, P. J., & Iacobucci, D. (2019). The dark side of good reputation and loyalty in online retailing:When trust leads to retaliation through price unfairness. Journal of Interactive Marketing, 47(1), 35-52.
Roh, M., & Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management, 47(1), 262-273.
Roy, S. K., Shekhar, V., Lassar, W. M., & Chen, T. (2018). Customer engagement behaviors: The role of service convenience, fairness and quality. Journal of Retailing and Consumer Services, 44(1), 293-304.
Ruiz, B., & García, J. A. (2019). Modelling customer-based bank reputation: the moderating role of uncertainty avoidance. International Journal of Bank Marketing, 37(1), 340-361.
Sharma, S. K. (2019). Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling. Information Systems Frontiers, 21(4), 815-827.
Sharma, S. K., Mangla, S. K., Luthra, S., & Al-Salti, Z. (2018). Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model. Journal of Retailing and Consumer Services, 45(1), 52-63.
Sharma, V. M., & Klein, A. (2020). Consumer perceived value, involvement, trust, susceptibility to interpersonal influence, and intention to participate in online group buying. Journal of Retailing and Consumer Services, 52(1), 101-115.
Shaw, B., & Kesharwani, A. (2019). Moderating Effect of Smartphone Addiction on Mobile Wallet Payment Adoption. Journal of Internet Commerce, 18(3), 291-309.
Shaw, N. (2014). The mediating influence of trust in the adoption of the mobile wallet. Journal of Retailing and Consumer Services, 21(4), 449-459.
Singh, N., & Sinha, N. (2020). How perceived trust mediates merchant’s intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52(1), 101-113.
Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50(1), 191-205.
Tahar, A., Riyadh, H. A., Sofyani, H., & Purnomo, W. E. (2020). Perceived Ease of Use, Perceived Usefulness, Perceived Security and Intention to Use E-Filing: The Role of Technology Readiness. The Journal of Asian Finance, Economics, and Business, 7(9), 537-547.
To, P., & Dressler, W. (2019). Rethinking ‘Success’: The politics of payment for forest ecosystem services in Vietnam. Land use policy, 81(1), 582-593.
Tung, L. T. (2019). Role of unemployment insurance in sustainable development in Vietnam: Overview and policy implication. Entrepreneurship and Sustainability Issues, 6(3), 1139-1155.
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, 36(1), 157-178.
Ventre, I., & Kolbe, D. (2020). The Impact of Perceived Usefulness of Online Reviews, Trust and Perceived Risk on Online Purchase Intention in Emerging Markets: A Mexican Perspective. Journal of International Consumer Marketing, 32(4), 1-13.
Verkasalo, H., López-Nicolás, C., Molina-Castillo, F. J., & Bouwman, H. (2010). Analysis of users and non-users of smartphone applications. Telematics and Informatics, 27(3), 242-255.
Wijenayake, S., van Berkel, N., Kostakos, V., & Goncalves, J.(2020). Impact of contextual and personal determinants on online social conformity. Computers in Human Behavior, 108(1), 106-119.
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.
Xu, F., Huang, S. & Li, S. (2019). Time, money, or convenience:what determines Chinese consumers’ continuance usage intention and behavior of using tourism mobile apps?. International Journal of Culture, Tourism and Hospitality Research, 13(3), 288-302.
Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253-269.
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