The influence of perceived usefulness, perceived ease of use, perceived risk on behavioral intention for QRIS user
Keywords:
Behavioral intention; perceived usefulness, perceived ease of use and perceived risk.
Abstract
The purpose of this study is to analyze: (1) the effect of perceived usefulness on behavioral intention (2) the effect of perceived ease of use on perceived usefulness (3) the effect of perceived ease of use on behavioral intention (4) the effect of perceived risk on behavioral intention for QRIS in Padang. We did this by asking 310 QRIS users in Padang for their opinions. We collected our data directly from these users, who were interested in QRIS payments. Then we used a mix of descriptive and quantitative analysis, including multiple regression, to analyze the data using SmartPLS. The results of the study showed: perceived usefulness and perceived ease of use had a positive significant effect on behavioral intention; perceived ease of use had a positive significant effect perceived usefulness; perceived risk had a negative significant effect on behavioral intention.
Downloads
Download data is not yet available.
References
Achiriani, M. P. A., & Hasbi, I. (2021). Pengaruh Performance Expectancy, Effort Expectancy, Social Influence, Perceived Risk, Perceived Cost Terhadap Behavioral Intention Pada Pengguna Dompet Digital Dana Di Indonesia. EProceedings of Management, 8(1).
Amira, N. V., & Susanto, P. (2021). The effect of perceived usefulness, perceived ease of use, and perceived risk on behavioral intention to use e-money. Operations Management and Information System Studies, 1(3), 133–144.
Balakrishnan, V., & Shuib, N. L. M. (2021). Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia. Technology in Society, 65, 101554.
Carlson, A. R. (1968). The relationships between a behavioral intention, attitude toward the behavior and normative beliefs about the behavior. University of Illinois at Urbana-Champaign.
Choi, J., Lee, A., & Ok, C. (2013). The effects of consumers’ perceived risk and benefit on attitude and behavioral intention: A study of street food. Journal of Travel & Tourism Marketing, 30(3), 222–237.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Davis~, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace’. In Journal of Applied Social Psychology (Vol. 22).
davis1989. (n.d.).
De Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931–944.
Faizani, S. N., & Indriyanti, A. D. (2021). Analisis Pengaruh Technology Readiness terhadap Perceived Usefulness dan Perceived Ease of Use terhadap Behavioral Intention dari Quick Response Indonesian Standard (QRIS) untuk Pembayaran Digital (Studi Kasus: Pengguna Aplikasi e-Wallet Go-Pay, DANA, OV. Journal of Emerging Information System and Business Intelligence (JEISBI), 2(2), 85–93.
Featherman, M. S., & Pavlou, P. A. (2003a). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Featherman, M. S., & Pavlou, P. A. (2003b). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.
Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. Taylor & Francis.
Fitri, R. A., & Wulandari, R. (2020). Online purchase intention factors in Indonesian millenial. International Review of Management and Marketing, 10(3), 122.
Gunawan, A., Fatikasari, A. F., & Putri, S. A. (2023). The Effect of Using Cashless (QRIS) on Daily Payment Transactions Using the Technology Acceptance Model. Procedia Computer Science, 227, 548–556. https://doi.org/10.1016/j.procs.2023.10.557
Katz, J. (1985). The role of behavioral intentions in the prediction of behavior. The Journal of Social Psychology, 125(2), 149–155.
Korkmaz, H., Fidanoglu, A., Ozcelik, S., & Okumus, A. (2021). User acceptance of autonomous public transport systems: Extended UTAUT2 model. Journal of Public Transportation, 23(1). https://doi.org/10.5038/2375-0901.23.1.5
Koswara, T. M., Riorini, V., & Pangestu, F. Y. (2022). Jurnal Multidisiplin Indonesia PENGARUH PERCEIVED EASE OF USE, PERCEIVED USEFULNESS, TRUST, MOBILITY, CUSTOMIZATION, CUSTOMER INVOLVEMENT TERHADAP BEHAVIORAL INTENTION PADA E-COMMERCE DI MASA PANDEMI COVID-19. Jurnal Multidisiplin Indonesia, 1(4). https://doi.org/10.58344/jmi.v1i4.127
Kristanto, H., & Firdausy, C. M. (n.d.). PENGARUH PERCEIVED EASE OF USE, PERCEIVED USEFULNESS, ATTITUDE TOWARD USING DAN SALES PROMOTION TERHADAP REPURCHASE INTENTION TIKET BIOSKOP PENGGUNA APLIKASI TIX-ID.
Latumaerissa, J. R. (2011). Bank dan Lembaga keuangan lain. Jakarta: Salemba Empat.
Lestari, D. A. A., & Fajar, A. N. (2022). Factors That Determine Behavioral Intentions in Using E-Commerce with the Most Visitors in Indonesia. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(4), 29077–29086.
Li, M., & Cai, L. A. (2012). The effects of personal values on travel motivation and behavioral intention. Journal of Travel Research, 51(4), 473–487.
Liébana-Cabanillas, F., Marinkovic, V., De Luna, I. R., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117–130.
Lonardi, H., & Legowo, N. (2021a). Analysis of Factors Affecting Use Behavior of QRIS Payment System in DKI Jakarta. In Turkish Journal of Computer and Mathematics Education __________________________________________________________________________________ 3709 Research Article (Vol. 12, Issue 6).
Lonardi, H., & Legowo, N. (2021b). Analysis of factors affecting use behavior of QRIS payment system in DKI Jakarta. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(6), 3709–3728.
Mahwadha, W. I. (2019). Behavioral intention of young consumers towards e-wallet adoption: An empirical study among indonesian users. Russian Journal of Agricultural and Socio-Economic Sciences, 85(1), 79–93.
Makaba, K. A. (2023). Faktor-Faktor yang Mempengaruhi Behavior Intention Masyarakat Gen Y dalam Menggunakan QRIS pada Berbagai Toko Ritel di Kota Batam. MAMEN: Jurnal Manajemen, 2(1), 60–70.
Maruping, L. M., Bala, H., Venkatesh, V., & Brown, S. A. (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology. Journal of the Association for Information Science and Technology, 68(3), 623–637.
Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76–87.
Mohd Amir, R. I., Mohd, I. H., Saad, S., Abu Seman, S. A., & Tuan Besar, T. B. H. (2020). Perceived ease of use, perceived usefulness, and behavioral intention: the acceptance of crowdsourcing platform by using technology acceptance model (TAM). Charting a Sustainable Future of ASEAN in Business and Social Sciences: Proceedings of the 3rd International Conference on the Future of ASEAN (ICoFA) 2019—Volume 1, 403–410.
Mun, Y. Y., & Hwang, Y. (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), 431–449.
Naiyi, Y. E. (2004). Dimensions of consumer’s perceived risk in online shopping. Journal of Electronic Science and Technology, 2(3), 177–182.
Nugroho, Y. A. (2009). The effect of perceived ease of use, perceive of usefulness, perceive risk and trust towards behavior intention in transaction by internet. Business and Entrepreneurial Review, 9(1), 79–90.
Ongsakul, V., Ali, F., Wu, C., Duan, Y., Cobanoglu, C., & Ryu, K. (2021). Hotel website quality, performance, telepresence and behavioral intentions. Tourism Review, 76(3), 681–700.
Peter, J. P., & Olson, J. C. (2010). Consumer behavior & marketing strategy. McGraw-hill.
PHAN, T. N., HO, T. V., & LE-HOANG, P. V. (2020). Factors Affecting the Behavioral Intention and Behavior of Using E–Wallets of Youth in Vietnam. The Journal of Asian Finance, Economics and Business (JAFEB), 7(10), 295–302.
Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37–54.
Pratiwi, R., SK, P., & Nurhasanah, N. (2023). IMPACT OF PERCEIVED USEFULNESS, PERCEIVED EASE OF USE AND CONSUMER TRUST ON BEHAVIORAL INTENTION. PENANOMICS: International Journal of Economics, 2. https://doi.org/10.56107/penanomics.v2i3.152
Prayag, G., Hosany, S., & Odeh, K. (2013). The role of tourists’ emotional experiences and satisfaction in understanding behavioral intentions. Journal of Destination Marketing & Management, 2(2), 118–127.
Puspa, M., Achiriani, A., & Hasbi, I. (n.d.). PENGARUH PERFORMANCE EXPECTANCY, EFFORT EXPECTANCY, SOCIAL INFLUENCE, PERCEIVED RISK, PERCEIVED COST TERHADAP BEHAVIORAL INTENTION PADA PENGGUNA DOMPET DIGITAL DANA DI INDONESIA THE INFLUENCE OF PERFORMANCE EXPECTANCY, EFFORT EXPECTANCY, SOCIAL INFLUENCE, PERCEIVED RISK, PERCEIVED COST TO BEHAVIORAL INTENTION OF CUSTOMER DANA DIGITAL WALLET IN INDONESIA.
Putri, G. A., Widagdo, A. K., & Setiawan, D. (2023). Analysis of financial technology acceptance of peer to peer lending (P2P lending) using extended technology acceptance model (TAM). Journal of Open Innovation: Technology, Market, and Complexity, 9(1). https://doi.org/10.1016/j.joitmc.2023.100027
Raninda, R., Wisnalmawati, W., & Oetomo, H. (2022). The Effect of Perceived Usefulness, Perceived Ease of Use, Perceived Security, and Cashback Promotion on Behavioral Intention to the DANA E-Wallet. Jurnal Ilmiah Manajemen Kesatuan, 10(1), 63–72.
Saputri, N. M. (2023). Trust, perceived ease of use, perceived usefulness, and attitude on behavioral intention to use mobile payment. Operations Management and Information System Studies, 3(3), 180–192.
Schiffman, L. G., Kanuk, L. L., & Kumar, S. R. (1951). Consumer. Marketing.
Sinaga, O. S., Krisna Marpaung, F., Dewi, R. S., Sudirman, A., Tinggi, S., Ekonomi, I., & Agung, S. (2021). Kontribusi perceived usefulness, perceived ease of use dan perceived security terhadap behavioral intention to use aplikasi JAKET. In Insight Management Journal (Vol. 1, Issue 3). https://journals.insightpub.org/index.php/imj
Sugiyono, D. (2010). Memahami penelitian kualitatif.
Sugiyono, D. (2013). Metode penelitian pendidikan pendekatan kuantitatif, kualitatif dan R&D.
Suryawirawan, O. (2019). PERCEIVED EASE OF USE DAN PERCEIVED USEFULNESS TERHADAP E-COMMERCE INTENTION MELALUI APLIKASI ONLINE SHOP PADA MAHASISWA DI SURABAYA. Jurnal MEBIS (Manajemen Dan Bisnis), 4, 1–8. https://doi.org/10.33005/mebis.v4i1.46
Syamsu, J., Oldisan, D., & Efendi, Y. (2022). Persepsi Masyarakat Terhadap Implementasi Metode Pembayaran Menggunakan Kartu E-Money (BRIZZI) pada Bus Trans Padang. JURNAL Public Administration, Business and Rural Develoment Planning, 4(1), 1–8.
Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly, 483–502.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Walton, S. M., Thong, J. Y. L., & Xu, X. (n.d.). CONSUMER ACCEPTANCE AND USE OF INFORMATION TECHNOLOGY: EXTENDING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 1 Viswanath Venkatesh.
Warshaw, P. R., & Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213–228.
Yogananda, A. S., & Dirgantara, I. (n.d.). Made Bayu. 2017.“Pengaruh Persepsi Manfaat, Persepsi Kemudahan Penggunaan, Keperayaan dan Persepsi Risiko Terhadap Minat Untuk Menggunakan Instrumen Uang Elektronik.” Jurnal Manajemen Diponegoro, 6(4).
Amira, N. V., & Susanto, P. (2021). The effect of perceived usefulness, perceived ease of use, and perceived risk on behavioral intention to use e-money. Operations Management and Information System Studies, 1(3), 133–144.
Balakrishnan, V., & Shuib, N. L. M. (2021). Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia. Technology in Society, 65, 101554.
Carlson, A. R. (1968). The relationships between a behavioral intention, attitude toward the behavior and normative beliefs about the behavior. University of Illinois at Urbana-Champaign.
Choi, J., Lee, A., & Ok, C. (2013). The effects of consumers’ perceived risk and benefit on attitude and behavioral intention: A study of street food. Journal of Travel & Tourism Marketing, 30(3), 222–237.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Davis~, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace’. In Journal of Applied Social Psychology (Vol. 22).
davis1989. (n.d.).
De Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931–944.
Faizani, S. N., & Indriyanti, A. D. (2021). Analisis Pengaruh Technology Readiness terhadap Perceived Usefulness dan Perceived Ease of Use terhadap Behavioral Intention dari Quick Response Indonesian Standard (QRIS) untuk Pembayaran Digital (Studi Kasus: Pengguna Aplikasi e-Wallet Go-Pay, DANA, OV. Journal of Emerging Information System and Business Intelligence (JEISBI), 2(2), 85–93.
Featherman, M. S., & Pavlou, P. A. (2003a). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Featherman, M. S., & Pavlou, P. A. (2003b). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.
Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. Taylor & Francis.
Fitri, R. A., & Wulandari, R. (2020). Online purchase intention factors in Indonesian millenial. International Review of Management and Marketing, 10(3), 122.
Gunawan, A., Fatikasari, A. F., & Putri, S. A. (2023). The Effect of Using Cashless (QRIS) on Daily Payment Transactions Using the Technology Acceptance Model. Procedia Computer Science, 227, 548–556. https://doi.org/10.1016/j.procs.2023.10.557
Katz, J. (1985). The role of behavioral intentions in the prediction of behavior. The Journal of Social Psychology, 125(2), 149–155.
Korkmaz, H., Fidanoglu, A., Ozcelik, S., & Okumus, A. (2021). User acceptance of autonomous public transport systems: Extended UTAUT2 model. Journal of Public Transportation, 23(1). https://doi.org/10.5038/2375-0901.23.1.5
Koswara, T. M., Riorini, V., & Pangestu, F. Y. (2022). Jurnal Multidisiplin Indonesia PENGARUH PERCEIVED EASE OF USE, PERCEIVED USEFULNESS, TRUST, MOBILITY, CUSTOMIZATION, CUSTOMER INVOLVEMENT TERHADAP BEHAVIORAL INTENTION PADA E-COMMERCE DI MASA PANDEMI COVID-19. Jurnal Multidisiplin Indonesia, 1(4). https://doi.org/10.58344/jmi.v1i4.127
Kristanto, H., & Firdausy, C. M. (n.d.). PENGARUH PERCEIVED EASE OF USE, PERCEIVED USEFULNESS, ATTITUDE TOWARD USING DAN SALES PROMOTION TERHADAP REPURCHASE INTENTION TIKET BIOSKOP PENGGUNA APLIKASI TIX-ID.
Latumaerissa, J. R. (2011). Bank dan Lembaga keuangan lain. Jakarta: Salemba Empat.
Lestari, D. A. A., & Fajar, A. N. (2022). Factors That Determine Behavioral Intentions in Using E-Commerce with the Most Visitors in Indonesia. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(4), 29077–29086.
Li, M., & Cai, L. A. (2012). The effects of personal values on travel motivation and behavioral intention. Journal of Travel Research, 51(4), 473–487.
Liébana-Cabanillas, F., Marinkovic, V., De Luna, I. R., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117–130.
Lonardi, H., & Legowo, N. (2021a). Analysis of Factors Affecting Use Behavior of QRIS Payment System in DKI Jakarta. In Turkish Journal of Computer and Mathematics Education __________________________________________________________________________________ 3709 Research Article (Vol. 12, Issue 6).
Lonardi, H., & Legowo, N. (2021b). Analysis of factors affecting use behavior of QRIS payment system in DKI Jakarta. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(6), 3709–3728.
Mahwadha, W. I. (2019). Behavioral intention of young consumers towards e-wallet adoption: An empirical study among indonesian users. Russian Journal of Agricultural and Socio-Economic Sciences, 85(1), 79–93.
Makaba, K. A. (2023). Faktor-Faktor yang Mempengaruhi Behavior Intention Masyarakat Gen Y dalam Menggunakan QRIS pada Berbagai Toko Ritel di Kota Batam. MAMEN: Jurnal Manajemen, 2(1), 60–70.
Maruping, L. M., Bala, H., Venkatesh, V., & Brown, S. A. (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology. Journal of the Association for Information Science and Technology, 68(3), 623–637.
Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76–87.
Mohd Amir, R. I., Mohd, I. H., Saad, S., Abu Seman, S. A., & Tuan Besar, T. B. H. (2020). Perceived ease of use, perceived usefulness, and behavioral intention: the acceptance of crowdsourcing platform by using technology acceptance model (TAM). Charting a Sustainable Future of ASEAN in Business and Social Sciences: Proceedings of the 3rd International Conference on the Future of ASEAN (ICoFA) 2019—Volume 1, 403–410.
Mun, Y. Y., & Hwang, Y. (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), 431–449.
Naiyi, Y. E. (2004). Dimensions of consumer’s perceived risk in online shopping. Journal of Electronic Science and Technology, 2(3), 177–182.
Nugroho, Y. A. (2009). The effect of perceived ease of use, perceive of usefulness, perceive risk and trust towards behavior intention in transaction by internet. Business and Entrepreneurial Review, 9(1), 79–90.
Ongsakul, V., Ali, F., Wu, C., Duan, Y., Cobanoglu, C., & Ryu, K. (2021). Hotel website quality, performance, telepresence and behavioral intentions. Tourism Review, 76(3), 681–700.
Peter, J. P., & Olson, J. C. (2010). Consumer behavior & marketing strategy. McGraw-hill.
PHAN, T. N., HO, T. V., & LE-HOANG, P. V. (2020). Factors Affecting the Behavioral Intention and Behavior of Using E–Wallets of Youth in Vietnam. The Journal of Asian Finance, Economics and Business (JAFEB), 7(10), 295–302.
Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37–54.
Pratiwi, R., SK, P., & Nurhasanah, N. (2023). IMPACT OF PERCEIVED USEFULNESS, PERCEIVED EASE OF USE AND CONSUMER TRUST ON BEHAVIORAL INTENTION. PENANOMICS: International Journal of Economics, 2. https://doi.org/10.56107/penanomics.v2i3.152
Prayag, G., Hosany, S., & Odeh, K. (2013). The role of tourists’ emotional experiences and satisfaction in understanding behavioral intentions. Journal of Destination Marketing & Management, 2(2), 118–127.
Puspa, M., Achiriani, A., & Hasbi, I. (n.d.). PENGARUH PERFORMANCE EXPECTANCY, EFFORT EXPECTANCY, SOCIAL INFLUENCE, PERCEIVED RISK, PERCEIVED COST TERHADAP BEHAVIORAL INTENTION PADA PENGGUNA DOMPET DIGITAL DANA DI INDONESIA THE INFLUENCE OF PERFORMANCE EXPECTANCY, EFFORT EXPECTANCY, SOCIAL INFLUENCE, PERCEIVED RISK, PERCEIVED COST TO BEHAVIORAL INTENTION OF CUSTOMER DANA DIGITAL WALLET IN INDONESIA.
Putri, G. A., Widagdo, A. K., & Setiawan, D. (2023). Analysis of financial technology acceptance of peer to peer lending (P2P lending) using extended technology acceptance model (TAM). Journal of Open Innovation: Technology, Market, and Complexity, 9(1). https://doi.org/10.1016/j.joitmc.2023.100027
Raninda, R., Wisnalmawati, W., & Oetomo, H. (2022). The Effect of Perceived Usefulness, Perceived Ease of Use, Perceived Security, and Cashback Promotion on Behavioral Intention to the DANA E-Wallet. Jurnal Ilmiah Manajemen Kesatuan, 10(1), 63–72.
Saputri, N. M. (2023). Trust, perceived ease of use, perceived usefulness, and attitude on behavioral intention to use mobile payment. Operations Management and Information System Studies, 3(3), 180–192.
Schiffman, L. G., Kanuk, L. L., & Kumar, S. R. (1951). Consumer. Marketing.
Sinaga, O. S., Krisna Marpaung, F., Dewi, R. S., Sudirman, A., Tinggi, S., Ekonomi, I., & Agung, S. (2021). Kontribusi perceived usefulness, perceived ease of use dan perceived security terhadap behavioral intention to use aplikasi JAKET. In Insight Management Journal (Vol. 1, Issue 3). https://journals.insightpub.org/index.php/imj
Sugiyono, D. (2010). Memahami penelitian kualitatif.
Sugiyono, D. (2013). Metode penelitian pendidikan pendekatan kuantitatif, kualitatif dan R&D.
Suryawirawan, O. (2019). PERCEIVED EASE OF USE DAN PERCEIVED USEFULNESS TERHADAP E-COMMERCE INTENTION MELALUI APLIKASI ONLINE SHOP PADA MAHASISWA DI SURABAYA. Jurnal MEBIS (Manajemen Dan Bisnis), 4, 1–8. https://doi.org/10.33005/mebis.v4i1.46
Syamsu, J., Oldisan, D., & Efendi, Y. (2022). Persepsi Masyarakat Terhadap Implementasi Metode Pembayaran Menggunakan Kartu E-Money (BRIZZI) pada Bus Trans Padang. JURNAL Public Administration, Business and Rural Develoment Planning, 4(1), 1–8.
Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly, 483–502.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Walton, S. M., Thong, J. Y. L., & Xu, X. (n.d.). CONSUMER ACCEPTANCE AND USE OF INFORMATION TECHNOLOGY: EXTENDING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 1 Viswanath Venkatesh.
Warshaw, P. R., & Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213–228.
Yogananda, A. S., & Dirgantara, I. (n.d.). Made Bayu. 2017.“Pengaruh Persepsi Manfaat, Persepsi Kemudahan Penggunaan, Keperayaan dan Persepsi Risiko Terhadap Minat Untuk Menggunakan Instrumen Uang Elektronik.” Jurnal Manajemen Diponegoro, 6(4).
Published
2024-06-29
How to Cite
Muhammad Yusuf, Rahmiati, R., & Thamrin, T. (2024). The influence of perceived usefulness, perceived ease of use, perceived risk on behavioral intention for QRIS user. Marketing Management Studies, 4(2), 100-118. https://doi.org/10.24036/mms.v4i2.500
Section
Articles
