From Innovation and Compatibility to The Intention to Adopt Mobile Payment with User Expectations as The Mediating Factor
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Dec 29, 2024
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Abstract
With the rapid growth of mobile payment transactions in Indonesia, it is imperative to understand the factors influencing user acceptance to optimize product development and marketing strategies. This study seeks to examine these factors through the lens of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, specifically investigating the effects of effort expectancy (EE), performance expectancy (PE), social influence (SI), hedonic motivation (HM), compatibility (Comp), and innovation (Innv) on behavioral intention (BI). This study employs a quantitative methodology with purposive sampling, gathering data through online surveys from residents of Indonesia, resulting in a sample of 325 respondents who have utilized mobile payment systems. Data analysis employed Partial Least Squares (PLS) using SmartPLS software. The results indicate that EE significantly influences BI, while PE, SI, and HM do not. Additionally, Comp and Innv were found to positively impact PE, EE, and BI. A noteworthy finding is that Comp significantly influences BI, with EE acting as a mediator.
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References
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Blut, M., Yee, A. Y. L., Chong, L., Tsigna, Z., & Venkatesh, V. (2021). Meta-analysis of the unified theory of acceptance and use of technology. Journal of the Association for Information Systems, 23(1), 13–95. https://aisel.aisnet.org/jais/vol23/iss1/10
Butarbutar, N., Lie, D., Bagenda, C., Hendrayani, E., & Sudirman, A. (2022). Analysis of the Effect of Performance Expectancy, Effort Expectancy, and Lifestyle Compatibility on Behavioral Intention QRIS in Indonesia. International Journal of Scientific Research and Management, 10(11), 4203–4211. https://doi.org/10.18535/ijsrm/v10i11.em07
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Chua, E. L., Lim, J. L., & Lim, C. L. (2020). Factors influencing trust and behavioral intention to use Airbnb service innovation in three ASEAN countries. Asia Pacific Journal of Innovation and Entrepreneurship, 14(2), 175-188. https://doi.org/10.1108/APJIE-12-2019-0095
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Fachrurrozie, Muhsin, Nurkhin, A., Mukhibad, H., & Daud, N. M. (2023). Determinants of halal food purchase decisions for Go Food and Shopee Food users. Innovative Marketing, 19(1), 113–125. https://doi.org/10.21511/im.19(1).2023.10
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7
Hesniati, H., & Lasmiyanto, L. (2020). Analysis of Factors Influencing Investment Decision. Journal of Global Business and Management Review, 2(1), 13. https://doi.org/10.37253/jgbmr.v2i1.805
Islam, M., Tamanna, A. K., & Islam, S. (2024). The path to cashless transaction: A study of user intention and attitudes towards quick response mobile payments. Heliyon, 10(15), e35302. https://doi.org/10.1016/j.heliyon.2024.e35302
Joshi, R. (2024). A mixed methods UTAUT2-based approach to understanding unified payments interface adoption among low-income users. Banks and Bank Systems, 19(1), 58–73. https://doi.org/10.21511/bbs.19(1).2024.06
Khasawneh, O., & AlBahsh, R. (2024). Why do people use a mobile wallet? The case of fintech companies in Jordan. Investment Management and Financial Innovations, 21(2), 89–102. https://doi.org/10.21511/imfi.21(2).2024.07
Kurniasari, F., & Lestari, E. D. (2024). Strategic enablers: Unveiling crucial drivers for managerial adoption of electronic resources planning. Problems and Perspectives in Management, 22(1), 295–309. https://doi.org/10.21511/ppm.22(1).2024.25
Lin, H.-Y., Wang, M.-H., & Chen, H.-T. (2019). Determinants for Consumer Adoption of Mobile Payment Technology. International Journal of E-Education, e-Business, e-Management and e-Learning, 9(3), 146–159. https://doi.org/10.17706/ijeeee.2019.9.3.146-159
Lin, W. R., Lin, C. Y., & Ding, Y. H. (2020). Factors affecting the behavioral intention to adopt mobile payment: An empirical study in Taiwan. Mathematics, 8(10), 1–19. https://doi.org/10.3390/math8101851
Marto, A., Gonçalves, A., Melo, M., Bessa, M., & Silva, R. (2023). ARAM: A Technology Acceptance Model to Ascertain the Behavioural Intention to Use Augmented Reality. Journal of Imaging, 9(73). https://doi.org/10.3390/jimaging9030073
Mercurio, B., & Tundang, R. (2023, February 24). Jump-starting Indonesia’s transition to an innovative economy. East Asia Forum. Retrieved January 31, 2024, from https://eastasiaforum.org/2023/02/24/jump-starting-indonesias-transition-to-an-innovative-economy/
Migliore, G., Wagner, R., Cechella, F. S., & Liébana‑Cabanillas, F. (2022). Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory. Information Systems Frontiers, 24(6), 2099–2122. https://doi.org/10.1007/s10796-021-10237-2
Moorthy, K., T’ing, L. C., Yee, K. C., Huey, A. W., In, L. J., Feng, P. C., & Yi, T. J. (2019). What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance and Economics, 25(3), 349–364. https://doi.org/10.1002/ijfe.1756
Mordor Intelligence. (2023). Indonesia mobile payments market size & share analysis - Growth trends & forecasts (2024 - 2029). Mordor Intelligence. Retrieved January 30, 2024, from https://www.mordorintelligence.com/industry-reports/indonesia-mobile-payments-market
Nawi, N. C., Husin, H. S., Al-Jahwari, N. S., Zainuddin, S. A., Khan, N. U., Hassan, A. A., Wan Ibrahim, W. S. A. A., Mohamed, A. F., Mohd Nasir, N. S., & Muhamad Hasan, M. Z. (2024). The path to sustainability begins with going paperless: Antecedents of intention to use electronic wallet using serial mediation approach. Heliyon, 10(2), e24127. https://doi.org/10.1016/j.heliyon.2024.e24127
Octaviani, R. D., Sari, D., Prabowo, H., & Sucherly. (2024). Determinants of Indonesian Gen Z's purchase behavior on online travel platforms: Extending UTAUT model. Innovative Marketing, 19(4), 53–65. https://doi.org/10.21511/im.19(4).2023.05
Osei, D. B. (2024). Digital infrastructure and innovation in Africa: Does human capital mediate the effect? Telematics and Informatics, 89, 102111. https://doi.org/10.1016/j.tele.2024.102111
Patrik, J., & Lady. (2022). Faktor yang mempengaruhi untuk menggunakan mobile banking dari Internet Banking terhadap penggunaan konsumen perbankan di Indonesia. SEIKO: Journal of Management & Business, 5(1), 284-299. https://doi.org/10.37531/sejaman.v5i1.1575
Ramadhani, A. F., & Azizah, N. (2022). UTAUT2 dan DOI: Analisis Pengguna Aktual Layanan Food Delivery (GoFood) di Kota Surabaya. JUSIFO (Jurnal Sistem Informasi), 8(1), 1–12. https://doi.org/10.19109/jusifo.v8i1.11664
Salifu, I., Aheto, D. W., & Vondolia, G. K. (2024). Unraveling the drivers of the adoption of improved fish smoking technology among small-scale fisheries: A case study of the Ahotor oven in Ghana. Food and Humanity, 2, 100266. https://doi.org/10.1016/j.foohum.2024.100266
Sari, N. P. W. P., Duong, M.-P. T., Li, D., Nguyen, M.-H., & Vuong, Q.-H. (2024). Rethinking the effects of performance expectancy and effort expectancy on new technology adoption: Evidence from Moroccan nursing students. Teaching and Learning in Nursing, 19(3), 557-565. https://doi.org/10.1016/j.teln.2024.04.002
Subawa, N. S., Widhiasthini, N. W., & Mimaki, C. A. (2020). An Empirical Study of E-Marketplace Acceptance in MSMEs under the Constructs of Effort Expectancy, Social Influence, and Facilitating Condition Factors. ACM International Conference Proceeding Series, January 2021, 116–120. https://doi.org/10.1145/3387263.3387288
Sudarsono, H., Kholid, M. N., Trisanty, A., Shidiqie, J. S. A., & Suseno, P. (2022). Examining the adoption of mobile banking: Empirical evidence from Indonesian Muslim students. Banks and Bank Systems, 17(2), 138-149. https://doi.org/10.21511/bbs.17(2).2022.12
Suhail, F., Adel, M., Al-Emran, M., & AlQudah, A. A. (2024). Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach. Technology in Society, 77, 102524. https://doi.org/10.1016/j.techsoc.2024.102524
Suharto, E., Salim, U., Sumiati, & Rofiq, A. (2021). Model acceptance and use of e-banking with Javanese philosophical approach: An effort to create a less-cash society. Banks and Bank Systems, 16(3) 34-47. https://doi.org/10.21511/bbs.16(3).2021.04
Winata, S., & Tjokrosaputro, M. (2022). The roles of effort expectancy, attitude, and service quality in mobile payment users’ continuance intention. In Proceedings of the Tenth International Conference on Entrepreneurship and Business Management 2021 (ICEBM 2021) (pp. 121-126). Atlantis Press. https://doi.org/10.2991/aebmr.k.220501.020
Yu, C. W., Chao, C. M., Chang, C. F., Chen, R. J., Chen, P. C., & Liu, Y. X. (2021). Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model. SAGE Open, 11(4). https://doi.org/10.1177/21582440211055721
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62, 101293. https://doi.org/10.1016/j.techsoc.2020.101293
Alam, S. S., Ahmed, S., Kokash, H. A., Mahmud, M. S., & Sharnali, S. Z. (2024). Utility and hedonic perception: Customers’ intention towards using QR codes in mobile payment of Generation Y and Generation Z. Electronic Commerce Research and Applications, 65, 101389. https://doi.org/10.1016/j.elerap.2024.101389
Alfiana, A. D., & Rikumahu, B. (2020). Analisis Faktor Pengaruh Perilaku Pengguna Dalam Mengadopsi dan Niat Merekomendasikan Teknologi Mobile Payment GoPay di Kota Bandung. E-Proceeding of Management, 7(2), 2022–2029. https://openlibrarypublications.telkomuniversity.ac.id/index.php/management/article/view/12049
Andrianto, A. (2020). Faktor Yang Memengaruhi Behavior Intention Untuk Penggunaan Aplikasi Dompet Digital. Jurnal Ilmiah Ekonomi Bisnis, 25(2), 111–122. https://doi.org/10.35760/eb.2020.v25i2.2412%0A115
Blut, M., Yee, A. Y. L., Chong, L., Tsigna, Z., & Venkatesh, V. (2021). Meta-analysis of the unified theory of acceptance and use of technology. Journal of the Association for Information Systems, 23(1), 13–95. https://aisel.aisnet.org/jais/vol23/iss1/10
Butarbutar, N., Lie, D., Bagenda, C., Hendrayani, E., & Sudirman, A. (2022). Analysis of the Effect of Performance Expectancy, Effort Expectancy, and Lifestyle Compatibility on Behavioral Intention QRIS in Indonesia. International Journal of Scientific Research and Management, 10(11), 4203–4211. https://doi.org/10.18535/ijsrm/v10i11.em07
Candy, Shellyna, S., Justyanita, J., & Kristiani, K. (2022). E-wallet Adoption: Technology Acceptance Model and COVID-19. Jurnal Inovasi Ekonomi, 7(01), 91–100. https://doi.org/10.22219/jiko.v7i01.20385
Chaveesuk, S., Khalid, B., & Chaiyasoonthorn, W. (2021). Digital payment system innovations: A marketing perspective on intention and actual use in the retail sector. Innovative Marketing, 17(3), 109–123. https://doi.org/10.21511/im.17(3).2021.09
Chua, E. L., Lim, J. L., & Lim, C. L. (2020). Factors influencing trust and behavioral intention to use Airbnb service innovation in three ASEAN countries. Asia Pacific Journal of Innovation and Entrepreneurship, 14(2), 175-188. https://doi.org/10.1108/APJIE-12-2019-0095
Deloitte. (2020). The accelerating digital payments landscape in Indonesia. Deloitte Indonesia Business and Industry Updates. Retrieved January 31, 2024, from https://www2.deloitte.com/id/en/pages/technology-media-and-telecommunications/articles/accelerating-digital-payments-landscape-in-indonesia.html
Fachrurrozie, Muhsin, Nurkhin, A., Mukhibad, H., & Daud, N. M. (2023). Determinants of halal food purchase decisions for Go Food and Shopee Food users. Innovative Marketing, 19(1), 113–125. https://doi.org/10.21511/im.19(1).2023.10
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7
Hesniati, H., & Lasmiyanto, L. (2020). Analysis of Factors Influencing Investment Decision. Journal of Global Business and Management Review, 2(1), 13. https://doi.org/10.37253/jgbmr.v2i1.805
Islam, M., Tamanna, A. K., & Islam, S. (2024). The path to cashless transaction: A study of user intention and attitudes towards quick response mobile payments. Heliyon, 10(15), e35302. https://doi.org/10.1016/j.heliyon.2024.e35302
Joshi, R. (2024). A mixed methods UTAUT2-based approach to understanding unified payments interface adoption among low-income users. Banks and Bank Systems, 19(1), 58–73. https://doi.org/10.21511/bbs.19(1).2024.06
Khasawneh, O., & AlBahsh, R. (2024). Why do people use a mobile wallet? The case of fintech companies in Jordan. Investment Management and Financial Innovations, 21(2), 89–102. https://doi.org/10.21511/imfi.21(2).2024.07
Kurniasari, F., & Lestari, E. D. (2024). Strategic enablers: Unveiling crucial drivers for managerial adoption of electronic resources planning. Problems and Perspectives in Management, 22(1), 295–309. https://doi.org/10.21511/ppm.22(1).2024.25
Lin, H.-Y., Wang, M.-H., & Chen, H.-T. (2019). Determinants for Consumer Adoption of Mobile Payment Technology. International Journal of E-Education, e-Business, e-Management and e-Learning, 9(3), 146–159. https://doi.org/10.17706/ijeeee.2019.9.3.146-159
Lin, W. R., Lin, C. Y., & Ding, Y. H. (2020). Factors affecting the behavioral intention to adopt mobile payment: An empirical study in Taiwan. Mathematics, 8(10), 1–19. https://doi.org/10.3390/math8101851
Marto, A., Gonçalves, A., Melo, M., Bessa, M., & Silva, R. (2023). ARAM: A Technology Acceptance Model to Ascertain the Behavioural Intention to Use Augmented Reality. Journal of Imaging, 9(73). https://doi.org/10.3390/jimaging9030073
Mercurio, B., & Tundang, R. (2023, February 24). Jump-starting Indonesia’s transition to an innovative economy. East Asia Forum. Retrieved January 31, 2024, from https://eastasiaforum.org/2023/02/24/jump-starting-indonesias-transition-to-an-innovative-economy/
Migliore, G., Wagner, R., Cechella, F. S., & Liébana‑Cabanillas, F. (2022). Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory. Information Systems Frontiers, 24(6), 2099–2122. https://doi.org/10.1007/s10796-021-10237-2
Moorthy, K., T’ing, L. C., Yee, K. C., Huey, A. W., In, L. J., Feng, P. C., & Yi, T. J. (2019). What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance and Economics, 25(3), 349–364. https://doi.org/10.1002/ijfe.1756
Mordor Intelligence. (2023). Indonesia mobile payments market size & share analysis - Growth trends & forecasts (2024 - 2029). Mordor Intelligence. Retrieved January 30, 2024, from https://www.mordorintelligence.com/industry-reports/indonesia-mobile-payments-market
Nawi, N. C., Husin, H. S., Al-Jahwari, N. S., Zainuddin, S. A., Khan, N. U., Hassan, A. A., Wan Ibrahim, W. S. A. A., Mohamed, A. F., Mohd Nasir, N. S., & Muhamad Hasan, M. Z. (2024). The path to sustainability begins with going paperless: Antecedents of intention to use electronic wallet using serial mediation approach. Heliyon, 10(2), e24127. https://doi.org/10.1016/j.heliyon.2024.e24127
Octaviani, R. D., Sari, D., Prabowo, H., & Sucherly. (2024). Determinants of Indonesian Gen Z's purchase behavior on online travel platforms: Extending UTAUT model. Innovative Marketing, 19(4), 53–65. https://doi.org/10.21511/im.19(4).2023.05
Osei, D. B. (2024). Digital infrastructure and innovation in Africa: Does human capital mediate the effect? Telematics and Informatics, 89, 102111. https://doi.org/10.1016/j.tele.2024.102111
Patrik, J., & Lady. (2022). Faktor yang mempengaruhi untuk menggunakan mobile banking dari Internet Banking terhadap penggunaan konsumen perbankan di Indonesia. SEIKO: Journal of Management & Business, 5(1), 284-299. https://doi.org/10.37531/sejaman.v5i1.1575
Ramadhani, A. F., & Azizah, N. (2022). UTAUT2 dan DOI: Analisis Pengguna Aktual Layanan Food Delivery (GoFood) di Kota Surabaya. JUSIFO (Jurnal Sistem Informasi), 8(1), 1–12. https://doi.org/10.19109/jusifo.v8i1.11664
Salifu, I., Aheto, D. W., & Vondolia, G. K. (2024). Unraveling the drivers of the adoption of improved fish smoking technology among small-scale fisheries: A case study of the Ahotor oven in Ghana. Food and Humanity, 2, 100266. https://doi.org/10.1016/j.foohum.2024.100266
Sari, N. P. W. P., Duong, M.-P. T., Li, D., Nguyen, M.-H., & Vuong, Q.-H. (2024). Rethinking the effects of performance expectancy and effort expectancy on new technology adoption: Evidence from Moroccan nursing students. Teaching and Learning in Nursing, 19(3), 557-565. https://doi.org/10.1016/j.teln.2024.04.002
Subawa, N. S., Widhiasthini, N. W., & Mimaki, C. A. (2020). An Empirical Study of E-Marketplace Acceptance in MSMEs under the Constructs of Effort Expectancy, Social Influence, and Facilitating Condition Factors. ACM International Conference Proceeding Series, January 2021, 116–120. https://doi.org/10.1145/3387263.3387288
Sudarsono, H., Kholid, M. N., Trisanty, A., Shidiqie, J. S. A., & Suseno, P. (2022). Examining the adoption of mobile banking: Empirical evidence from Indonesian Muslim students. Banks and Bank Systems, 17(2), 138-149. https://doi.org/10.21511/bbs.17(2).2022.12
Suhail, F., Adel, M., Al-Emran, M., & AlQudah, A. A. (2024). Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach. Technology in Society, 77, 102524. https://doi.org/10.1016/j.techsoc.2024.102524
Suharto, E., Salim, U., Sumiati, & Rofiq, A. (2021). Model acceptance and use of e-banking with Javanese philosophical approach: An effort to create a less-cash society. Banks and Bank Systems, 16(3) 34-47. https://doi.org/10.21511/bbs.16(3).2021.04
Winata, S., & Tjokrosaputro, M. (2022). The roles of effort expectancy, attitude, and service quality in mobile payment users’ continuance intention. In Proceedings of the Tenth International Conference on Entrepreneurship and Business Management 2021 (ICEBM 2021) (pp. 121-126). Atlantis Press. https://doi.org/10.2991/aebmr.k.220501.020
Yu, C. W., Chao, C. M., Chang, C. F., Chen, R. J., Chen, P. C., & Liu, Y. X. (2021). Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model. SAGE Open, 11(4). https://doi.org/10.1177/21582440211055721