How to cite this paper
Siagian, H., Tarigan, Z., Basana, S & Basuki, R. (2022). The effect of perceived security, perceived ease of use, and perceived usefulness on consumer behavioral intention through trust in digital payment platform.International Journal of Data and Network Science, 6(3), 861-874.
Refrences
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75–90. https://doi.org/10.1016/j.chb.2016.05.014
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. https://doi.org/10.1108/NBRI-01-2014-0005
Bassiouni, D. H., Hackley, C., & Meshreki, H. (2019). The integration of video games in family-life dynamics: An adapted technology acceptance model of family intention to consume video games. Information Technology and People, 32(6), 1376–1396. https://doi.org/10.1108/ITP-11-2017-0375
Basuki, R., Tarigan, Z.J.H., Siagian, H., Limanta, L.S., Setiawan, D., & Mochtar, J. (2022). The effects of perceived ease of use, usefulness, enjoyment and intention to use online platforms on behavioral intention in online movie watching during the pandemic era. International Journal of Data and Network Science, 6(1), 253-262, DOI: 10.5267/j.ijdns.2021.9.003
Borhan, M. N., Ibrahim, A. N. H., & Miskeen, M. A. A. (2019). Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external influence. Transportation Research Part A: Policy and Practice, 130, 373–384. https://doi.org/10.1016/j.tra.2019.09.058
Casalo, L. V., Flavián, C., & Guinalíu, M. (2007). The influence of satisfaction, perceived reputation and trust on a consumer’s commitment to a website. Journal of Marketing Communications, 13(1), 1–17. https://doi.org/10.1080/13527260600951633
Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management and Data Systems, 107(1), 21–36. https://doi.org/10.1108/02635570710719034
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). (pp. 295–336). Lawrence Erlbaum Associates Publishers.
Chiu, C. M., Chang, C. C., Cheng, H. L., & Fang, Y. H. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33(4), 761–784. https://doi.org/10.1108/14684520910985710
Daabseh, T.K.I.A. & Aljarah, A. (2021). The relationship between online sale and customer value co-creation: The mediating role of esatisfaction and e-trust. International Journal of Data and Network Science, 5(2), 97-106, DOI: 10.5267/j.ijdns.2021.2.005
Davis, F. D. (1989a). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Davis, F. D. (1989b). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Dirsehan, T., & Can, C. (2020). Examination of trust and sustainability concerns in autonomous vehicle adoption. Technology in Society, 63, 101361. https://doi.org/10.1016/j.techsoc.2020.101361
Enaizan, O., Eneizan, B., Almaaitah, M., Al-Radaideh, A. T., & Saleh, A. M. (2020). Effects of privacy and security on the acceptance and usage of EMR: The mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked, 21, 100450. https://doi.org/10.1016/j.imu.2020.100450
Flavián, C., & Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: Three basic elements of loyalty to a web site. Industrial Management & Data Systems, 106(5), 601–620. https://doi.org/10.1108/02635570610666403
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231. https://doi.org/10.1108/APJML-06-2013-0061
Gupta, G., & Singharia, K. (2021). Consumption of OTT Media Streaming in COVID-19 Lockdown: Insights from PLS Analysis. Vision, 25(1), 36–46. https://doi.org/10.1177/0972262921989118
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second). SAGE Publications.
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. https://doi.org/10.1108/EBR-11-2018-0203
Hartono, E., Holsapple, C. W., Kim, K.-Y., Na, K.-S., & Simpson, J. T. (2014). Measuring perceived security in B2C electronic commerce website usage: A respecification and validation. https://doi.org/10.1016/j.dss.2014.02.006
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580. https://doi.org/10.1007/s00180-012-0317-1
Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building Consumer Trust Online. Communications of the ACM, 42(4), 80–85. https://doi.org/10.1145/299157.299175
Horst, M., Kuttschreuter, M., & Gutteling, J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23(4), 1838–1852. https://doi.org/10.1016/j.chb.2005.11.003
Hubert, M., Blut, M., Brock, C., Wenjiao Zhang, R., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073–1098. https://doi.org/10.1108/EJM-12-2016-0794
Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of Attitude toward Using, Perceived Usefulness, Perceived Ease of Use and Perceived Compatibility on Intention to Use E-Marketing. Journal of Management Research, 6(3). https://doi.org/10.5296/jmr.v6i3.5573
Khan, S., Umer, R., Umer, S., & Naqvi, S. (2021). Antecedents of trust in using social media for E-government services: An empirical study in Pakistan. Technology in Society, 64, 101400. https://doi.org/10.1016/j.techsoc.2020.101400
Kim, C., Tao, W., Shin, N., & Kim, K. S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84–95. https://doi.org/10.1016/j.elerap.2009.04.014
Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: the role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109–126. https://doi.org/10.1108/IJSMS-06-2017-0050
Klobas, J. E., McGill, T., & Wang, X. (2019). How perceived security risk affects intention to use smart home devices: A reasoned action explanation. Computers and Security, 87, 101571. https://doi.org/10.1016/j.cose.2019.101571
Krishnan, V. V., & Koshy, B. I. (2021). Evaluating the factors influencing purchase intention of electric vehicles in households owning conventional vehicles. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2021.05.013
Maureen Nelloh, L. A., Santoso, A. S., & Slamet, M. W. (2019). Will users keep using mobile payment? It depends on trust and cognitive perspectives. Procedia Computer Science, 161, 1156–1164. https://doi.org/10.1016/j.procs.2019.11.228
Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59, 101151. https://doi.org/10.1016/j.techsoc.2019.101151
Mombeuil, C., & Uhde, H. (2021). Relative convenience, relative advantage, perceived security, perceived privacy, and continuous use intention of China’s WeChat Pay: A mixed-method two-phase design study. Journal of Retailing and Consumer Services, 59, 102384. https://doi.org/10.1016/j.jretconser.2020.102384
Mou, J., Shin, D. H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation. Behaviour and Information Technology, 36(2), 125–139. https://doi.org/10.1080/0144929X.2016.1203024
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z. (2021). Technology acceptance model for online cinema ticketing among moviegoers in java island Indonesia: An empirical study on tix id application. IOP Conference Series: Materials Science and Engineering, 1010(1), 012037, doi:10.1088/1757-899X/1010/1/012037
Ratten, V. (2014). A US-China comparative study of cloud computing adoption behavior: The role of consumer innovativeness, performance expectations and social influence. Journal of Entrepreneurship in Emerging Economies, 6(1), 53–71. https://doi.org/10.1108/JEEE-07-2013-0019
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011
Renny, Guritno, S., & Siringoringo, H. (2013). Perceived Usefulness, Ease of Use, and Attitude Towards Online Shopping Usefulness Towards Online Airlines Ticket Purchase. Procedia - Social and Behavioral Sciences, 81, 212–216. https://doi.org/10.1016/j.sbspro.2013.06.415
Revathy, C., & Balaji, P. (2020). Determinants of behavioural intention on e-wallet usage: an empirical examination in amid of covid-19 lockdown period. International Journal of Management (IJM), 11(6), 92–104. https://doi.org/10.34218/IJM.11.6.2020.008
Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce. In International Journal of Information Management (Vol. 50, pp. 286–301). Elsevier Ltd. https://doi.org/10.1016/j.ijinfomgt.2019.08.008
Siagian, H., & Cahyono, E. (2014). Analisis Website Quality, Trust Dan Loyalty Pelanggan Online Shop. Jurnal Manajemen Pemasaran, 8(2), 55–61. https://doi.org/10.9744/pemasaran.8.2.55-61
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, 101894. https://doi.org/10.1016/j.jretconser.2019.101894
Sudono, F. S., Adiwijaya, M., & Siagian, H. (2020). The Influence of Perceived Security and Perceived Enjoyment on Intention To Use with Attitude Towards Use as Intervening Variable on Mobile Payment Customer in Surabaya. Petra International Journal of Business Studies, 3(1), 37–46. https://doi.org/10.9744/ijbs.3.1.37-46
Susanto, T. D., & Aljoza, M. (2015). Individual Acceptance of e-Government Services in a Developing Country: Dimensions of Perceived Usefulness and Perceived Ease of Use and the Importance of Trust and Social Influence. Procedia Computer Science, 72, 622–629. https://doi.org/10.1016/j.procs.2015.12.171
Tarigan, Z.J.H., Basuki, R., & Siagian, H. (2020). The impact of information technology quality on electronic customer satisfaction in movie industry. International Journal of Data and Network Science, 4(3), 263-270, DOI: 10.5267/j.ijdns.2020.8.001
Tarigan, Z.J.H., Jonathan, M., Siagian, H., & Basana, S.R. (2022). The effect of e-WOM through intention to use technology and social media community for mobile payments during the COVID-19. International Journal of Data and Network Science, 6(2), 563-572, DOI: 10.5267/j.ijdns.2021.11.008
Taufik, N., & Hanafiah, M. H. (2019). Airport passengers’ adoption behaviour towards self-check-in Kiosk Services: the roles of perceived ease of use, perceived usefulness and need for human interaction. Heliyon, 5(12), e02960. https://doi.org/10.1016/j.heliyon.2019.e02960
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205. https://doi.org/10.1016/J.CSDA.2004.03.005
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Yudiarti, R. F. E., & Puspaningrum, A. (2018). THE ROLE OF TRUST AS A MEDIATION BETWEEN THE EFFECT OF PERCEIVED USEFULNESS AND PERCEIVED EASE OF USE TO INTEREST TO BUY E-BOOK. JURNAL APLIKASI MANAJEMEN, 16(3), 494–502. https://doi.org/10.21776/ub.jam.2018.016.03.14
Yusoff, Y. M., Muhammad, Z., Salehuddin, M., Zahari, M., Pasah, E. S., & Robert, E. (2009). Individual Differences, Perceived Ease of Use, and Perceived Usefulness in the E-Library Usage. Computer and Information Science, 2(1).
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.2307/1251929
Zhang, L., Nyheim, P., & Mattila, A. S. (2014). The effect of power and gender on technology acceptance. Journal of Hospitality and Tourism Technology, 5(3), 299–314. https://doi.org/10.1108/JHTT-03-2014-0008
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. https://doi.org/10.1108/NBRI-01-2014-0005
Bassiouni, D. H., Hackley, C., & Meshreki, H. (2019). The integration of video games in family-life dynamics: An adapted technology acceptance model of family intention to consume video games. Information Technology and People, 32(6), 1376–1396. https://doi.org/10.1108/ITP-11-2017-0375
Basuki, R., Tarigan, Z.J.H., Siagian, H., Limanta, L.S., Setiawan, D., & Mochtar, J. (2022). The effects of perceived ease of use, usefulness, enjoyment and intention to use online platforms on behavioral intention in online movie watching during the pandemic era. International Journal of Data and Network Science, 6(1), 253-262, DOI: 10.5267/j.ijdns.2021.9.003
Borhan, M. N., Ibrahim, A. N. H., & Miskeen, M. A. A. (2019). Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external influence. Transportation Research Part A: Policy and Practice, 130, 373–384. https://doi.org/10.1016/j.tra.2019.09.058
Casalo, L. V., Flavián, C., & Guinalíu, M. (2007). The influence of satisfaction, perceived reputation and trust on a consumer’s commitment to a website. Journal of Marketing Communications, 13(1), 1–17. https://doi.org/10.1080/13527260600951633
Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management and Data Systems, 107(1), 21–36. https://doi.org/10.1108/02635570710719034
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). (pp. 295–336). Lawrence Erlbaum Associates Publishers.
Chiu, C. M., Chang, C. C., Cheng, H. L., & Fang, Y. H. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33(4), 761–784. https://doi.org/10.1108/14684520910985710
Daabseh, T.K.I.A. & Aljarah, A. (2021). The relationship between online sale and customer value co-creation: The mediating role of esatisfaction and e-trust. International Journal of Data and Network Science, 5(2), 97-106, DOI: 10.5267/j.ijdns.2021.2.005
Davis, F. D. (1989a). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Davis, F. D. (1989b). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Dirsehan, T., & Can, C. (2020). Examination of trust and sustainability concerns in autonomous vehicle adoption. Technology in Society, 63, 101361. https://doi.org/10.1016/j.techsoc.2020.101361
Enaizan, O., Eneizan, B., Almaaitah, M., Al-Radaideh, A. T., & Saleh, A. M. (2020). Effects of privacy and security on the acceptance and usage of EMR: The mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked, 21, 100450. https://doi.org/10.1016/j.imu.2020.100450
Flavián, C., & Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: Three basic elements of loyalty to a web site. Industrial Management & Data Systems, 106(5), 601–620. https://doi.org/10.1108/02635570610666403
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231. https://doi.org/10.1108/APJML-06-2013-0061
Gupta, G., & Singharia, K. (2021). Consumption of OTT Media Streaming in COVID-19 Lockdown: Insights from PLS Analysis. Vision, 25(1), 36–46. https://doi.org/10.1177/0972262921989118
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second). SAGE Publications.
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. https://doi.org/10.1108/EBR-11-2018-0203
Hartono, E., Holsapple, C. W., Kim, K.-Y., Na, K.-S., & Simpson, J. T. (2014). Measuring perceived security in B2C electronic commerce website usage: A respecification and validation. https://doi.org/10.1016/j.dss.2014.02.006
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580. https://doi.org/10.1007/s00180-012-0317-1
Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building Consumer Trust Online. Communications of the ACM, 42(4), 80–85. https://doi.org/10.1145/299157.299175
Horst, M., Kuttschreuter, M., & Gutteling, J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23(4), 1838–1852. https://doi.org/10.1016/j.chb.2005.11.003
Hubert, M., Blut, M., Brock, C., Wenjiao Zhang, R., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073–1098. https://doi.org/10.1108/EJM-12-2016-0794
Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of Attitude toward Using, Perceived Usefulness, Perceived Ease of Use and Perceived Compatibility on Intention to Use E-Marketing. Journal of Management Research, 6(3). https://doi.org/10.5296/jmr.v6i3.5573
Khan, S., Umer, R., Umer, S., & Naqvi, S. (2021). Antecedents of trust in using social media for E-government services: An empirical study in Pakistan. Technology in Society, 64, 101400. https://doi.org/10.1016/j.techsoc.2020.101400
Kim, C., Tao, W., Shin, N., & Kim, K. S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84–95. https://doi.org/10.1016/j.elerap.2009.04.014
Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: the role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109–126. https://doi.org/10.1108/IJSMS-06-2017-0050
Klobas, J. E., McGill, T., & Wang, X. (2019). How perceived security risk affects intention to use smart home devices: A reasoned action explanation. Computers and Security, 87, 101571. https://doi.org/10.1016/j.cose.2019.101571
Krishnan, V. V., & Koshy, B. I. (2021). Evaluating the factors influencing purchase intention of electric vehicles in households owning conventional vehicles. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2021.05.013
Maureen Nelloh, L. A., Santoso, A. S., & Slamet, M. W. (2019). Will users keep using mobile payment? It depends on trust and cognitive perspectives. Procedia Computer Science, 161, 1156–1164. https://doi.org/10.1016/j.procs.2019.11.228
Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59, 101151. https://doi.org/10.1016/j.techsoc.2019.101151
Mombeuil, C., & Uhde, H. (2021). Relative convenience, relative advantage, perceived security, perceived privacy, and continuous use intention of China’s WeChat Pay: A mixed-method two-phase design study. Journal of Retailing and Consumer Services, 59, 102384. https://doi.org/10.1016/j.jretconser.2020.102384
Mou, J., Shin, D. H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation. Behaviour and Information Technology, 36(2), 125–139. https://doi.org/10.1080/0144929X.2016.1203024
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z. (2021). Technology acceptance model for online cinema ticketing among moviegoers in java island Indonesia: An empirical study on tix id application. IOP Conference Series: Materials Science and Engineering, 1010(1), 012037, doi:10.1088/1757-899X/1010/1/012037
Ratten, V. (2014). A US-China comparative study of cloud computing adoption behavior: The role of consumer innovativeness, performance expectations and social influence. Journal of Entrepreneurship in Emerging Economies, 6(1), 53–71. https://doi.org/10.1108/JEEE-07-2013-0019
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011
Renny, Guritno, S., & Siringoringo, H. (2013). Perceived Usefulness, Ease of Use, and Attitude Towards Online Shopping Usefulness Towards Online Airlines Ticket Purchase. Procedia - Social and Behavioral Sciences, 81, 212–216. https://doi.org/10.1016/j.sbspro.2013.06.415
Revathy, C., & Balaji, P. (2020). Determinants of behavioural intention on e-wallet usage: an empirical examination in amid of covid-19 lockdown period. International Journal of Management (IJM), 11(6), 92–104. https://doi.org/10.34218/IJM.11.6.2020.008
Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce. In International Journal of Information Management (Vol. 50, pp. 286–301). Elsevier Ltd. https://doi.org/10.1016/j.ijinfomgt.2019.08.008
Siagian, H., & Cahyono, E. (2014). Analisis Website Quality, Trust Dan Loyalty Pelanggan Online Shop. Jurnal Manajemen Pemasaran, 8(2), 55–61. https://doi.org/10.9744/pemasaran.8.2.55-61
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, 101894. https://doi.org/10.1016/j.jretconser.2019.101894
Sudono, F. S., Adiwijaya, M., & Siagian, H. (2020). The Influence of Perceived Security and Perceived Enjoyment on Intention To Use with Attitude Towards Use as Intervening Variable on Mobile Payment Customer in Surabaya. Petra International Journal of Business Studies, 3(1), 37–46. https://doi.org/10.9744/ijbs.3.1.37-46
Susanto, T. D., & Aljoza, M. (2015). Individual Acceptance of e-Government Services in a Developing Country: Dimensions of Perceived Usefulness and Perceived Ease of Use and the Importance of Trust and Social Influence. Procedia Computer Science, 72, 622–629. https://doi.org/10.1016/j.procs.2015.12.171
Tarigan, Z.J.H., Basuki, R., & Siagian, H. (2020). The impact of information technology quality on electronic customer satisfaction in movie industry. International Journal of Data and Network Science, 4(3), 263-270, DOI: 10.5267/j.ijdns.2020.8.001
Tarigan, Z.J.H., Jonathan, M., Siagian, H., & Basana, S.R. (2022). The effect of e-WOM through intention to use technology and social media community for mobile payments during the COVID-19. International Journal of Data and Network Science, 6(2), 563-572, DOI: 10.5267/j.ijdns.2021.11.008
Taufik, N., & Hanafiah, M. H. (2019). Airport passengers’ adoption behaviour towards self-check-in Kiosk Services: the roles of perceived ease of use, perceived usefulness and need for human interaction. Heliyon, 5(12), e02960. https://doi.org/10.1016/j.heliyon.2019.e02960
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205. https://doi.org/10.1016/J.CSDA.2004.03.005
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Yudiarti, R. F. E., & Puspaningrum, A. (2018). THE ROLE OF TRUST AS A MEDIATION BETWEEN THE EFFECT OF PERCEIVED USEFULNESS AND PERCEIVED EASE OF USE TO INTEREST TO BUY E-BOOK. JURNAL APLIKASI MANAJEMEN, 16(3), 494–502. https://doi.org/10.21776/ub.jam.2018.016.03.14
Yusoff, Y. M., Muhammad, Z., Salehuddin, M., Zahari, M., Pasah, E. S., & Robert, E. (2009). Individual Differences, Perceived Ease of Use, and Perceived Usefulness in the E-Library Usage. Computer and Information Science, 2(1).
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.2307/1251929
Zhang, L., Nyheim, P., & Mattila, A. S. (2014). The effect of power and gender on technology acceptance. Journal of Hospitality and Tourism Technology, 5(3), 299–314. https://doi.org/10.1108/JHTT-03-2014-0008