MOTIVATION OF THE USE OF DIGITAL WALLETS IN YOUNG GENERATIONS IN THE TIME OF THE COVID-19 PANDEMIC
DOI:
https://doi.org/10.14738/abr.91.9595Keywords:
TAM, SEM, E-Wallet, Young Generation, PandemicAbstract
This study aims to analyze how the Technology Acceptance Model which consists of Percieved usefulness, Perceived Ease of use, Privacy and Security, and additional variable "Promotion Programs" affect behavior intention in using e-wallets or digital wallets in the current pandemic era. A total of 394 respondents aged 16-30 years old who use e-wallets in Yogyakarta were sampled in this study. The results using the SEM test show that perceived usefulness and behavioral intention have a significant effect. Meanwhile, Perceived Ease of use, Privacy and Security, and promotional programs are not significant on E-Wallets Usage.
References
Ajzen, I. (1988), Attitudes, personality, and behavior, McGraw-Hill Education (UK).
Al-Maroof, R. S., & Al-Emran, M. (2018). Students acceptance of Google classroom: An exploratory study using PLS-SEM approach, International Journal of Emerging Technologies in Learning, 13(6), 112-123.
Aydin, G., & Burnaz, S. (2016). Adoption of Mobile Payment Systems: A Study on Mobile Wallet, Journal of Business, Economics and Finance, 5(1), 73-92.
Barry, M., & Jan, M. T. (2018). Barry, M., & Jan, M. T. (2018). Factors Influencing the Use of MCommerce: An Extended Technology Acceptance Model Perspective, International Journal of Economics, Management and Accounting, 26(1), 157-183.
Browne, M.W & Cudeck, R. (1993). Alternative ways of assessing model fit. In: Bollen, Kenneth & Long, J. Scott. (editors). (1993). Testing structural equation model. Sage Publication.
Catriana, Elsa. (2020). 68 Persen Pengguna Dompet Digital adalah Milenial, www.Kompas.com
Cheung, R., & Vogel , D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning, Computers & education, 63, 160-175.
Cliquet, G., Gonzalez, C., Huré, E., & Picot-Coupey, K. (2015), From Mobile Phone to Smartphone: What’s New About M-Shopping? Ideas in Marketing: Finding the New and Polishing the Old (pp. 199-202). Springer, Cham
Dauda , S. Y., & Lee, J. (2015). Technology adoption: A conjoint analysis of consumers׳ preference on future online banking services. Information Systems, 53, 1-15.
Davis, F.D. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol.13, No.3, pp. 319-340.
Davis FD. (200), Technology Acceptance Model for Empirically Testing New End User Information Systems: Theory and Results. Massachussetts, USA: Massachussetts Institute of Technologi Business Journal technology: A replication, MIS quarterly, 227-247
Donald L Amoroso, Rémy Magnier-Watanabe, (2012), Building a research model for mobile wallet consumer adoption: the case of mobile Suica in Japan, Journal of theoretical and applied electronic commerce research 7 (1), 94-110
Fred D Davis, Richard P Bagozzi, Paul R Warshaw, (1989), User acceptance of computer technology: a comparison of two theoretical models, Management science 35 (8), 982-1003
Fishbein, M., &Ajzen, I. (1975). Belief, attitude. Intention and Behavior: An Introduction to Theory and Research.
Gokilavani R., Kumar, D. V., Durgarani M., & Mahalakhsmi , R. (2018), Can India Move Towards Digital Sovereign Currency? A Study on Perception of Consumers Towards. International Journal of Pure and Applied Mathematics, 119(17), 2167–2175
Hair, J.F., Risher, J.J., Sarstedt, M., and Ringle, C.M. (2019), When to Use and How to Report the Results of PLS-SEM, European Business Review, 31(1), pp. 2-24
Hans Pechtl, (2004). Profiling intrinsic deal proneness for HILO and EDLP price promotion strategies, Journal of Retailing and Consumer Services 11 (4), 223-233
Hayashi , F., & Bradford, T. (2014). Mobile payments: Merchants’ perspectives, Economic Review, 99, 5-30.
Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Articles, 2.
Houston, Dian Dinata., (2020). Adopsi Penerimaan Digital payment pada kalangan Milenial. Jurnal Medium, Program Studi Ilmu Komunikasi, Sekolah Tinggi Ilmu Komunikasi LSPR, Universitas Riau, PekanBaru
Ipsos.(2020). Evolusi Industri Dompet Digital: Strategi Menang Tanpa Bakar Uang., https://www.ipsos.com/sites/default/files/ct/news/documents/2020-02/ipsospress_release_-_indonesian.pdf
Jackson , C. M., Chow , S., & Leitch , R. A. (1997). Toward an Understanding of the Behavioural Intention to Use an Information System. Decision Sciences 28(2), 357-389.
Jaradat , M. (2013). Applying the Technology Acceptance Model to the Introduction of Mobile Voting. International Journal of Mobile Learning and Organisation 7(1), 29-47.
Joreskog, K.G & Sorbom, D. (1993). Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.
Khaled MS Faqih, Mohammed-Issa Riad Mousa Jaradat. (2015), Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective, Journal of Retailing and Consumer Services 22, 37-52
Kotler, P. & Amstrong,(2001), PrinsipPrinsip Pemasaran (edisi 8).Jakarta : Erlangga. Jilid 1
Kotler P, dan Keller, K. (2012). Manajemen Pemasaran. Jilid I. Edisis ketigabelas. Terjemahan Bob Sabran, MM. Jakarta: Penerbit Erlangga
Laukkanen, T., & Lauronen, J. (2005).Consumer value creation in mobile banking services, International Journal of Mobile Communications, 3(4), 325-338.
Liébana-Cabanillas, F. J., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014), Role of Gender on Acceptance of Mobile Payment. Industrial Management & Data Systems, 114(2), 220–240.
Lu, L. (2018). Decoding alipay: mobile payments, a cashless society and regulatory challenges. Butterworths Journal of International Banking and Financial Law, 33(1), 40-48.
Mallat, Niina. (2007). Exploring Consumer Adoption of Mobile Payments – A Qualitative Study. Helsinki Institute of Economics.
Muk, A., &Chung, C. (2015). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research, 68(1), 1-16.
Mun, Y. Y., & Hwang, Y. (2003). Predicting the Use of Web-based Information Systems: Selfefficacy, Enjoyment, Learning Goal Orientation, and the Technology Acceptance Model. International Journal of Human-Computer Studies, 59(4), 431-449.
Nizam, F., Hwang, H. J., & Valaei, N. (2018, July ). Measuring the Effectiveness of E-Wallet in Malaysia. 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering (pp. 59-69). Springer, Cham.
Nunes, A., Portela, F., and Santos, M. F. (2018), Improving Pervasive Decision Support System in Critical Care by using Technology Acceptance Model, Procedia Computer Science, 141, pp. 513–518.
Osakwe, C. N., & Okeke, T. C. (2016). Facilitating Commerce growth in Nigeria through mMoney usage: A preliminary analysis, Interdisciplinary Journal of Information, Knowledge, and Management,11, 115-139.
Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014), Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118-127.
Punwatkar, S., & Verghese, M. (2018), Adaptation of e-Wallet Payment: An Empirical Study on Consumers’ Adoption Behavior in Central India. International Journal of Advanced in Management, Technology and Engineering Sciences, 1147–1156.
Rana A Saeed Al-Maroof, Mostafa Al-Emran, (2018), Students acceptance of Google classroom: An exploratory study using PLS-SEM approach, International Journal of Emerging Technologies in Learning (iJET) 13 (06), 112-123
Robert C Blattberg, Scott A Neslin, (1990), Sales promotion: Concepts, methods, and strategies, Prentice Hall
Ronnie Cheung, Doug Vogel, (2013), Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning, Computers & education 63, 160-175
Rosnidah, I., Muna , A., Musyaffi , A. M., & Siregar , N. F. (2019), Critical factor of mobile payment acceptance in millenial generation: Study on the UTAUT model, International Symposium on Social Sciences, Education, and Humanities (ISSEH 2018).Atlantis Press.
Osakwe, C. N., & Okeke, T. C. (2016), Facilitating mCommerce growth in Nigeria through mMoney usage: A preliminary analysis. Interdisciplinary Journal of Information, Knowledge, and Management, edisi ke 11, 115-139.
Saifullah Sadi AHM, Noordin MF, (2011), Factors Influencing the Adoption of M-Commerce: An Exploratory Analysis. International Conference on Industrial Engineering and Operations Management. Kuala Lumpur, Malaysia.
Sandra J Milberg, H Jeff Smith, Sandra J Burke, (2000), Information privacy: Corporate management and national regulation, Organization science 11 (1), 35-57
Srinivasan Swaminathan, Kapil Bawa, (2005), Category-specific coupon proneness: The impact of individual characteristics and category-specific variables, Journal of Retailing 81 (3), 205-214.
Soodan, V., & Rana, A. (2020), Modeling Customers' Intention to Use E-Wallet in a Developing Nation: Extending UTAUT2 With Security, Privacy and Savings, Journal of Electronic Commerce in Organizations, 18(1), 89-114.
Taylor , E. (2016), Mobile payment technologies in retail: A review of potential benefits and risks. International, Journal of Retail & Distribution Management, 44(2), 159-177.
Uddin , M. S., & Akhi , A. Y. (2014), E-wallet system for Bangladesh an electronic payment system, International Journal of Modeling and Optimization, 4(3), 216-226.
Venkatesh, V., (2000), Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, 342–365.
Venkatesh , V., Morris , M., Davis , G., & Davis, F. (2003), User acceptance of information technology: toward a unified view, MIS Quarterly 27(3), 425-478.
Vijayasarathy, L. R. (2004), Predicting Consumer Intentions to Use On-Line Shopping: The Case For an Augmented Technology Acceptance Model, Information and Management 41(6), 747-762.
Wibowo. (2008), Manajemen Kinerja, Penerbit Rajagrafingo Persada, Jakarta
Wood, S. (2013), Generation Z as consumers: trends and innovation, Institute for Emerging Issues: NC State University, 1-3.
Y Yi Mun, Yujong Hwang, (2003), Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model, International journal of human-computer studies 59 (4), 431-44.
Zhao, W., &Othman, M. N. (2010), Predicting and Explaining Complaint Intention and Behavior of Malaysian Consumers: An Application of The Planned Behavior Theory, Advances in International Marketing, 9(1), 229-252.
Al-Maroof, R. S., & Al-Emran, M. (2018). Students acceptance of Google classroom: An exploratory study using PLS-SEM approach, International Journal of Emerging Technologies in Learning, 13(6), 112-123.
Aydin, G., & Burnaz, S. (2016). Adoption of Mobile Payment Systems: A Study on Mobile Wallet, Journal of Business, Economics and Finance, 5(1), 73-92.
Barry, M., & Jan, M. T. (2018). Barry, M., & Jan, M. T. (2018). Factors Influencing the Use of MCommerce: An Extended Technology Acceptance Model Perspective, International Journal of Economics, Management and Accounting, 26(1), 157-183.
Browne, M.W & Cudeck, R. (1993). Alternative ways of assessing model fit. In: Bollen, Kenneth & Long, J. Scott. (editors). (1993). Testing structural equation model. Sage Publication.
Catriana, Elsa. (2020). 68 Persen Pengguna Dompet Digital adalah Milenial, www.Kompas.com
Cheung, R., & Vogel , D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning, Computers & education, 63, 160-175.
Cliquet, G., Gonzalez, C., Huré, E., & Picot-Coupey, K. (2015), From Mobile Phone to Smartphone: What’s New About M-Shopping? Ideas in Marketing: Finding the New and Polishing the Old (pp. 199-202). Springer, Cham
Dauda , S. Y., & Lee, J. (2015). Technology adoption: A conjoint analysis of consumers׳ preference on future online banking services. Information Systems, 53, 1-15.
Davis, F.D. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol.13, No.3, pp. 319-340.
Davis FD. (200), Technology Acceptance Model for Empirically Testing New End User Information Systems: Theory and Results. Massachussetts, USA: Massachussetts Institute of Technologi Business Journal technology: A replication, MIS quarterly, 227-247
Donald L Amoroso, Rémy Magnier-Watanabe, (2012), Building a research model for mobile wallet consumer adoption: the case of mobile Suica in Japan, Journal of theoretical and applied electronic commerce research 7 (1), 94-110
Fred D Davis, Richard P Bagozzi, Paul R Warshaw, (1989), User acceptance of computer technology: a comparison of two theoretical models, Management science 35 (8), 982-1003
Fishbein, M., &Ajzen, I. (1975). Belief, attitude. Intention and Behavior: An Introduction to Theory and Research.
Gokilavani R., Kumar, D. V., Durgarani M., & Mahalakhsmi , R. (2018), Can India Move Towards Digital Sovereign Currency? A Study on Perception of Consumers Towards. International Journal of Pure and Applied Mathematics, 119(17), 2167–2175
Hair, J.F., Risher, J.J., Sarstedt, M., and Ringle, C.M. (2019), When to Use and How to Report the Results of PLS-SEM, European Business Review, 31(1), pp. 2-24
Hans Pechtl, (2004). Profiling intrinsic deal proneness for HILO and EDLP price promotion strategies, Journal of Retailing and Consumer Services 11 (4), 223-233
Hayashi , F., & Bradford, T. (2014). Mobile payments: Merchants’ perspectives, Economic Review, 99, 5-30.
Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Articles, 2.
Houston, Dian Dinata., (2020). Adopsi Penerimaan Digital payment pada kalangan Milenial. Jurnal Medium, Program Studi Ilmu Komunikasi, Sekolah Tinggi Ilmu Komunikasi LSPR, Universitas Riau, PekanBaru
Ipsos.(2020). Evolusi Industri Dompet Digital: Strategi Menang Tanpa Bakar Uang., https://www.ipsos.com/sites/default/files/ct/news/documents/2020-02/ipsospress_release_-_indonesian.pdf
Jackson , C. M., Chow , S., & Leitch , R. A. (1997). Toward an Understanding of the Behavioural Intention to Use an Information System. Decision Sciences 28(2), 357-389.
Jaradat , M. (2013). Applying the Technology Acceptance Model to the Introduction of Mobile Voting. International Journal of Mobile Learning and Organisation 7(1), 29-47.
Joreskog, K.G & Sorbom, D. (1993). Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.
Khaled MS Faqih, Mohammed-Issa Riad Mousa Jaradat. (2015), Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective, Journal of Retailing and Consumer Services 22, 37-52
Kotler, P. & Amstrong,(2001), PrinsipPrinsip Pemasaran (edisi 8).Jakarta : Erlangga. Jilid 1
Kotler P, dan Keller, K. (2012). Manajemen Pemasaran. Jilid I. Edisis ketigabelas. Terjemahan Bob Sabran, MM. Jakarta: Penerbit Erlangga
Laukkanen, T., & Lauronen, J. (2005).Consumer value creation in mobile banking services, International Journal of Mobile Communications, 3(4), 325-338.
Liébana-Cabanillas, F. J., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014), Role of Gender on Acceptance of Mobile Payment. Industrial Management & Data Systems, 114(2), 220–240.
Lu, L. (2018). Decoding alipay: mobile payments, a cashless society and regulatory challenges. Butterworths Journal of International Banking and Financial Law, 33(1), 40-48.
Mallat, Niina. (2007). Exploring Consumer Adoption of Mobile Payments – A Qualitative Study. Helsinki Institute of Economics.
Muk, A., &Chung, C. (2015). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research, 68(1), 1-16.
Mun, Y. Y., & Hwang, Y. (2003). Predicting the Use of Web-based Information Systems: Selfefficacy, Enjoyment, Learning Goal Orientation, and the Technology Acceptance Model. International Journal of Human-Computer Studies, 59(4), 431-449.
Nizam, F., Hwang, H. J., & Valaei, N. (2018, July ). Measuring the Effectiveness of E-Wallet in Malaysia. 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering (pp. 59-69). Springer, Cham.
Nunes, A., Portela, F., and Santos, M. F. (2018), Improving Pervasive Decision Support System in Critical Care by using Technology Acceptance Model, Procedia Computer Science, 141, pp. 513–518.
Osakwe, C. N., & Okeke, T. C. (2016). Facilitating Commerce growth in Nigeria through mMoney usage: A preliminary analysis, Interdisciplinary Journal of Information, Knowledge, and Management,11, 115-139.
Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014), Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118-127.
Punwatkar, S., & Verghese, M. (2018), Adaptation of e-Wallet Payment: An Empirical Study on Consumers’ Adoption Behavior in Central India. International Journal of Advanced in Management, Technology and Engineering Sciences, 1147–1156.
Rana A Saeed Al-Maroof, Mostafa Al-Emran, (2018), Students acceptance of Google classroom: An exploratory study using PLS-SEM approach, International Journal of Emerging Technologies in Learning (iJET) 13 (06), 112-123
Robert C Blattberg, Scott A Neslin, (1990), Sales promotion: Concepts, methods, and strategies, Prentice Hall
Ronnie Cheung, Doug Vogel, (2013), Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning, Computers & education 63, 160-175
Rosnidah, I., Muna , A., Musyaffi , A. M., & Siregar , N. F. (2019), Critical factor of mobile payment acceptance in millenial generation: Study on the UTAUT model, International Symposium on Social Sciences, Education, and Humanities (ISSEH 2018).Atlantis Press.
Osakwe, C. N., & Okeke, T. C. (2016), Facilitating mCommerce growth in Nigeria through mMoney usage: A preliminary analysis. Interdisciplinary Journal of Information, Knowledge, and Management, edisi ke 11, 115-139.
Saifullah Sadi AHM, Noordin MF, (2011), Factors Influencing the Adoption of M-Commerce: An Exploratory Analysis. International Conference on Industrial Engineering and Operations Management. Kuala Lumpur, Malaysia.
Sandra J Milberg, H Jeff Smith, Sandra J Burke, (2000), Information privacy: Corporate management and national regulation, Organization science 11 (1), 35-57
Srinivasan Swaminathan, Kapil Bawa, (2005), Category-specific coupon proneness: The impact of individual characteristics and category-specific variables, Journal of Retailing 81 (3), 205-214.
Soodan, V., & Rana, A. (2020), Modeling Customers' Intention to Use E-Wallet in a Developing Nation: Extending UTAUT2 With Security, Privacy and Savings, Journal of Electronic Commerce in Organizations, 18(1), 89-114.
Taylor , E. (2016), Mobile payment technologies in retail: A review of potential benefits and risks. International, Journal of Retail & Distribution Management, 44(2), 159-177.
Uddin , M. S., & Akhi , A. Y. (2014), E-wallet system for Bangladesh an electronic payment system, International Journal of Modeling and Optimization, 4(3), 216-226.
Venkatesh, V., (2000), Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, 342–365.
Venkatesh , V., Morris , M., Davis , G., & Davis, F. (2003), User acceptance of information technology: toward a unified view, MIS Quarterly 27(3), 425-478.
Vijayasarathy, L. R. (2004), Predicting Consumer Intentions to Use On-Line Shopping: The Case For an Augmented Technology Acceptance Model, Information and Management 41(6), 747-762.
Wibowo. (2008), Manajemen Kinerja, Penerbit Rajagrafingo Persada, Jakarta
Wood, S. (2013), Generation Z as consumers: trends and innovation, Institute for Emerging Issues: NC State University, 1-3.
Y Yi Mun, Yujong Hwang, (2003), Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model, International journal of human-computer studies 59 (4), 431-44.
Zhao, W., &Othman, M. N. (2010), Predicting and Explaining Complaint Intention and Behavior of Malaysian Consumers: An Application of The Planned Behavior Theory, Advances in International Marketing, 9(1), 229-252.
Downloads
Published
2021-01-28
How to Cite
Herdioko, J., Titalessy, P. B., & Krisanta, B. E. (2021). MOTIVATION OF THE USE OF DIGITAL WALLETS IN YOUNG GENERATIONS IN THE TIME OF THE COVID-19 PANDEMIC. Archives of Business Research, 9(1), 116–127. https://doi.org/10.14738/abr.91.9595
Issue
Section
Articles
