Adoption of e-wallet in the post-pandemic era: A study on Generation X’s intention to use e-wallet
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DOIhttp://dx.doi.org/10.21511/im.20(2).2024.22
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Article InfoVolume 20 2024, Issue #2, pp. 267-280
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Due to the coronavirus pandemic, electronic wallets have emerged as a preferred alternative to traditional payment methods, mitigating physical touch concerns. This research aims to investigate the effects of security, health, and other determinants on the intention of Generation X’s members living in Java Island, Indonesia, to adopt electronic wallets in the post-pandemic era. Addressing the empirical gaps, this research examines how perceived ease of use may determine the attitude and intention to use electronic wallets, introducing novel considerations of security and health based on the Technology Acceptance Model. To collect the data, this research used the survey method by distributing the questionnaires. This research collected 363 valid responses. A partial least squares structural equation modeling method was used. The results confirmed that perceived ease of use and perceived compatibility positively affect perceived usefulness (p < 0.05). Perceived usefulness, security, and health aspects were found to positively affect attitude (p < 0.05). Security, perceived usefulness, and attitude were also confirmed to positively affect the intention to use electronic wallet (p < 0.05). This research further found that perceived ease of use had an insignificant effect on both attitude and intention to use electronic wallet (p > 0.05). Based on the testing of the mediating effect, this research confirmed that both security and health aspects positively affect the intention to use electronic wallet through attitude (p < 0.05). Furthermore, perceived compatibility was not found to affect intention to use electronic wallet through perceived ease of use (p > 0.05).
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JEL Classification (Paper profile tab)M31, L81
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References60
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Tables5
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Figures1
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- Figure 1. Proposed framework
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- Table 1. Study’s demographic descriptive statistics
- Table 2. Factor Loadings, AVE, Cronbach’s Alpha, and Composite Reliability
- Table 3. Heterotrait-Monotrait Ratio (HTMT)
- Table 4. Effect size
- Table 5. Hypotheses testing results
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- Alaeddin, O., Rana, A., Zainudin, Z., & Kamarudin, F. (2018). From physical to digital: Investigating consumer behaviour of switching to mobile wallet. Polish Journal of Management Studies, 17(2), 18-30.
- Alam, J. (2020). Buying behavior under coronavirus disease (COVID-19) Pandemic situation: a online perspective case in Bangladeshi shoppers. Chinese Business Review, 19(3), 82-90.
- Alexandra, K. & Ruslim, T. S. (2023). Factors that affect continuance usage intention of e-wallet users in Jakarta. International Journal of Application on Economics and Business, 1(1), 445-454.
- Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258-274.
- Ariffin, S. K., Abd Rahman, M. F. R., Muhammad, A. M., & Zhang, Q. (2021). Understanding the consumer’s intention to use the e-wallet services. Spanish Journal of Marketing - ESIC, 25(3), 446-461.
- Ashghar, S. A., & Nurlatifah, H. (2020). Analisispengaruh perceived ease of use, perceived usefulness, dan perceived risk terhadap keinginan membeli Kembali melalui e-trust dan s-satisfaction (Studi kasus pengguna Gopay pada transaksi UMKM) [Analysis of the Influence of Perceived Ease of Use, Perceived Usefulness, and Perceived Risk on Desire to Repurchase via e-Trust and s-Satisfaction (Case Study of Gopay Users in MSME Transactions)]. Jurnal Al Azhar Indonesia Seri Ilmu Sosial, 1(1), 40. (In Indonesian).
- Bank Indonesia. (n.d.). Elektronifikasi [Electronification]. (In Indonesian).
- Candy, C., Shellyna, S., Justyanita, J., & Kristiani, N. (2022). E-wallet Adoption: Technology Acceptance Model and COVID-19. Jurnal Inovasi Ekonomi, 7(2), 91-100.
- Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590-1618.
- Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covid-19 pandemic: Integrating the health belief model (HBM) and technology continuous theory (TCT). Journal of Open Innovation: Technology, Market, and Complexity, 7(2).
- Dataindonesia. (2022). Mayoritas orang Indonesia masih belum punya dompet digital [The majority of Indonesians still don’t have a digital wallet]. (In Indonesian).
- 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.
- Dolot, A. (2018). The characteristics of Generation Z. E-Mentor, 74, 44-50.
- Fihartini, Y., Helmi, A., Hassan, M., & Oesman, Y. M. (2021). Perceived health risk, online retail ethics, and consumer behavior within online shopping during the covid-19 pandemic. Innovative Marketing, 17(3), 17-29.
- Gaidhani, S., Arora, L., & Sharma, B. K. (2019). Understanding the attitude of generation Z towards workplace. International Journal of Management, Technology and Engineering, 9(1), 2804-2812.
- Ghozali, I. (2021). Partial Least Squares: Konsep, Teknik Dan Aplikasi Menggunakan Program SmartPLS 3.2.9 untuk Penelitian Empiris [Partial Least Squares: Concepts, Techniques and Applications Using the SmartPLS 3.2.9 Program for Empirical Research]. Badan Penerbit Universitas Diponegoro. (In Indonesian).
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). (2nd ed.). Sage.
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
- Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W. (2016). The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government. Procedia Economics and Finance, 35, 644-649.
- Herzallah, D., Muñoz-Leiva, F., & Liebana-Cabanillas, F. (2022). Drivers of purchase intention in Instagram Commerce. Spanish Journal of Marketing – ESIC, 26(2), 168-188.
- Hoque, M. Z., Nurul Alam, M., & Nahid, K. A. (2018). Health consciousness and its effect on perceived knowledge, and belief in the purchase intent of liquid milk: Consumer insights from an emerging market. Foods, 7(9), 150-170.
- Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17(5), 1039-1056.
- Kapoor, R., Singh, A. B., & Misra, R. (2019). Green Cosmetics - Changing Young Consumer Preference and Reforming Cosmetic Industry. International Journal of Recent Technology and Engineering, 8(4), 12932-12939.
- Karim, W., Chowdhury, M., & Haque, A. A. (2022). Study of customer satisfaction towards e-wallet payment system in Bangladesh. American Journal of Economics and Business Innovation (AJEBI), 1(1), 1-10.
- Karim, W., Haque, A., Ulfy, M. A., Hossain, A., & Anis, Z. (2020). Factors influencing the use of e-wallet as a payment method among Malaysian young adults. Journal of International Business and Management, 3(2), 1-12.
- Kotler, P., & Armstrong, G. (2021). Principles of Marketing. Global Edition: Pearson Education Limited.
- Kumar, A., Adlakaha, A., & Mukherjee, K. (2018). The effect of perceived security and grievance redressal on continuance intention to use M-wallets in a developing country. International Journal of Bank Marketing, 36(7), 1170-1189.
- Kumar, S., & Gupta, A. (2021). Factors affecting adoption of m-wallets: moderating role of financial incentives. Ramanujan International Journal of Business and Research, 6(1), 132-143.
- Kurnia, R. A., & Tandijaya, T. N. B. (2023). Pengaruh Perceived Ease of Use, Perceived Usefulness, Security Dan Trust Terhadap Intention To Use Aplikasi Jago [The Influence of Perceived Ease of Use, Perceived Usefulness, Security and Trust on Intention to Use the Jago Application]. Jurnal Manajemen Pemasaran, 17(1), 64-72. (In Indonesian).
- Kustono, A. S., Nanggala, A. Y. A., & Mas’ud, I. (2020). Determinants of the use of e-wallet for transaction payment among college students. Journal of Economics, Business, & Accountancy Ventura, 23(1), 85-95.
- Kusumaningsih, D., Irianto, H., & Antriyandarti, E. (2019). Effects of health consciousness and environmental attitude on intention towards organic food purchase. IOP Conference Series: Materials Science and Engineering, 633(1), 1-6.
- Lai, Y.-H. (2012). The study of technology acceptance for e-wallets application of clinic fees payment. Health, 04(11), 1082-1087.
- Laora, S. E., Hidayati, T., & Asnawati. (2021). Pengaruh Perceived Ease of Use dan Perceived Usefulness tehadap Repurchase Intention yang Dimediasi oleh Customer Trust [The Influence of Perceived Ease of Use and Perceived Usefulness on Repurchase Intention Mediated by Customer Trust]. Kinerja, 18(2), 304-313. (In Indonesian).
- Latupeirissa, J. J. P., Gorda, A. A. N. O. S., & Subanda, I. N. (2020). Antecedents of intention to use e-wallet: The development of acceptance model with pls-sem approach. Journal of Advanced Research in Dynamical and Control Systems, 12(7), 1416-1429.
- Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2021). Predicting mobile network operators users m-payment intention. European Business Review, 33(1).
- Liébana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117-130.
- Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. J. (2015). User behaviour in QR mobile payment system: the QR payment acceptance model. Technology Analysis and Strategic Management, 27(9), 1031-1049.
- Lwoga, E. T., & Lwoga, N. B. (2017). User acceptance of mobile payment: The effects of user-centric security, system characteristics and gender. Electronic Journal of Information Systems in Developing Countries, 81(1), 1-24.
- Ming, K. L. Y., & Jais, M. (2022). Factors affecting the intention to use e-wallets during the COVID-19 pandemic. Gadjah Mada International Journal of Business, 24(1), 82-100.
- Muhtasim, D. A., Tan, S. Y., Hassan, M. A., Pavel, M. I., & Susmit, S. (2022). Customer satisfaction with digital wallet services: an analysis of security factors. International Journal of Advanced Computer Science and Applications, 13(1), 195-206.
- Persada, S. F., Dalimunte, I., Nadlifatin, R., Miraja, B. A., Redi, A. A. N. P., Prasetyo, Y. T., Chin, J., & Lin, S. C. (2021). Revealing the behavior intention of tech-savvy generation z to use electronic wallet usage: A theory of planned behavior based measurement. International Journal of Business and Society, 22(1), 213-226.
- Putra, I. S., Triatmanto, B., & Zuhro, D. (2021). The Effect of Perceived Ease of Use on User’s Intention to Use E- learning with Moodle Application in Higher Education Mediated by Perceived Usefulness. Management and Economics Journal (MEC-J), 5(3), 211-220.
- Samat, M. F., Ismail, W. S. A. W., Rahim, H. L., Awang, N. A., Hussin, S. N. A., & Anual, N. (2022). Use It or Not to Use It? Mobile Wallet Usage Intention Amidst Covid-19 Outbreak among Malaysians. Malaysian Journal of Consumer and Family Economics, 29, 216-232.
- Sarmah, R., Dhiman, N., & Kanojia, H. (2020). Understanding intentions and actual use of mobile wallets by millennial: an extended TAM model perspective. Journal of Indian Business Research, 13(3), 361-381.
- Schmidthuber, L., Maresch, D., & Ginner, M. (2020). Disruptive technologies and abundance in the service sector - toward a refined technology acceptance model. Technological Forecasting and Social Change, 155, 1-11.
- Seetharaman, A., Nanda Kumar, K., Palaniappan, S., & Weber, G. (2017). Factors influencing behavioral intention to use the mobile wallet in Singapore. Journal of Applied Economics and Business Research, 7(2), 116-136.
- Setiawan, M., & Setyawati, C. Y. (2020). The Influence of Perceived Ease of Use on the Intention to Use Mobile Payment. Journal of Accounting and Strategic Finance, 3(1), 18-32.
- Shang, D., & Wu, W. (2017). Understanding mobile shopping consumers’ continuance intention. Industrial Management and Data Systems, 117(1), 213-227.
- 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.
- Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354.
- Singh, A., & Kalra, A. (2021). Impact of mobile wallets security on consumer attitude towards use. Psychology and Education, 58(4), 3140-3146.
- 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, 191-205.
- Statista. (2022). Number of smartphone users in Indonesia from 2017 to 2020 with forecasts until 2026.
- Sumi, R. S., & Ahmed, M. (2022). Investigating young consumers’ online buying behavior in COVID-19 pandemic: perspective of Bangladesh. IIM Ranchi Journal of Management Studies, 1(2), 108-123.
- Taufan, A., & Yuwono, R. T. (2019). Analysis of factors that affect intention to use e-wallet through the technology acceptance model approach (Case study: GO-PAY). International Journal of Science and Research, 8(7), 413-419.
- Teng, S., & Khong, K. W. (2021). Examining actual consumer usage of E-wallet: A case study of big data analytics. Computers in Human Behavior,121(March), 106778.
- Tiwari, N., & Singh, N. K. (2019). Factor Affecting Consumer satisfaction in cashless payment systems in India with respect to Paytm and BHIM. International Journal of Recent Technology and Engineering, 8(3S2), 10-15.
- Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204.
- Wilson, N., Keni, K., Henriette, P., & Tan, P. (2021). The Role of Perceived Usefulness and Perceived Ease-of-Use Toward Satisfaction and Trust which Influence Computer Consumers’ Loyalty in China. Gadjah Mada International Journal of Business, 23(3), 262-294.
- Yang, M., Al Mamun, A., Mohiuddin, M., Nawi, N. C., & Zainol, N. R. (2021). Cashless transactions: A study on intention and adoption of e-wallets. Sustainability, 13(2), 1-18.