How to cite this paper
Ardiansah, M., Chariri, A., Rahardja, S & Udin, U. (2020). The effect of electronic payments security on e-commerce consumer perception: An extended model of technology acceptance.Management Science Letters , 10(7), 1473-1480.
Refrences
Abou-Shouk, M. A., Lim, W. M., & Megicks, P. (2016). Using competing models to evaluate the role of environmental pressures in e-commerce adoption by small and medium-sized travel agents in a developing country. Tourism Management, 52, 327–339.
Ahmad, M. A. (2013). Effect of e-Commerce on accounting information system, computerization process, and cost productivity. American Journal of Computer Technology and Application, 1(1), 1–6.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Al-ma'aitah, M., & Shatat, A. (2011). Empirical study in the security of electronic payments systems. Journal of Computer Science, 8(4), 393–401.
Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2016). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64, 843–858.
Antwi, S. K., Hamza, K., & Bavoh, S. W. (2015). Examining the effectiveness of electronic payment system in Ghana: The case of e-ZWICH in the tamale metropolis. Research Journal of Finance and Accounting Online, 6(2), 2222–2847.
Ardiansah, M. N., Chariri, A., & Januarti, I. (2019). Empirical study on customer perception of e-commerce: Mediating effect of electronic payment security. Jurnal Dinamika Akuntansi, 11(2), 12–29.
Arora, S., & Sahney, S. (2018). Antecedents to consumers’ showrooming behaviour: An integrated TAM-TPB framework. Journal of Consumer Marketing, 35(4), 438–450.
Asokan, N., Schunter, M., & Waidner, M. (1996). Optimistic Protocols for Fair Exchange. https://doi.org/10.1145/266420.266426
Barkhordari, M., Nourollah, Z., Mashayekhi, H., Mashayekhi, Y., & Ahangar, M. S. (2017). Factors influencing adoption of e-payment systems: an empirical study on Iranian customers. Information Systems and E-Business Management, 15(1), 89–116.
Barnett, T., Pearson, A. W., Pearson, R., & Kellermanns, F. W. (2015). Five-factor Model Personality Traits as Predictors of Perceived and Actual Usage of Technology. European Journal of Information Systems, 24(4), 374–390.
Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368.
Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265–284.
Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165–181.
Darwis, Y. (2013). Communication media (e-Commerce ) as a Supporting Factor in Indonesia’s Fashion Industry in the International Business Competition. The International Journal of Organizational Innovation, 5(3), 206–220.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
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.
Fishbein, M., & Ajzen, I. (1975). Belief Attitude, Intention and Behavior.pdf (1st ed.). USA: Addison Wesley Publishing Company.
Ghozali, I., & Ratmono, D. (2013). Analisis Multivariat dan Ekonometrika: Teori, Konsep dan Aplikasi dengan EViews 8 (1st editio). Semarang: Badan Penerbit Undip.
Gordon, L. A., & Miller, D. (1976). A contingency framework for the design of accounting information systems. In Readings in accounting for management control (pp. 569-585). Springer, Boston, MA.
Hamad, H., Elbeltagi, I., Jones, P., & El-Gohary, H. (2015). Antecedents of B2B e-commerce adoption and its effect on competitive advantage in manufacturing SMEs. Strategic Change, 24(5), 405–428.
Hopwood, A. G. (1983). On trying to study accounting in the contexts in which it operates. Accounting, Organizations and Society, 8(2–3), 287–305.
Hopwood, A. G. (1987). The Archeology of Accounting Systems. Accounting, Organizations and Society, 12(3), 207–234.
Hossain, M. S., & Zhou, X. (2018). Impact of m-payments on purchase intention and customer satisfaction : perceived flow as mediator. International Journal of Science and Business, 2(3), 503–517.
Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2(2), 032–040.
Kabir, M. A., Saidin, S. Z., & Ahmi, A. (2015). Adoption of e-Payment Systems : A Review of Literature. Proceedings of the International Conference on E-Commerce (ICoEC) 2015, 2012, 112–120.
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.
Lai, P. (2017). The Literature Review of Technology Adoption Models and Theories for the Novelty Technology. Journal of Information Systems and Technology Management, 14(1), 21–38.
Lau, M. M., Lam, A. Y. C., Cheung, R., & Leung, T. F. (2019). Understanding determinants of customer behavioral intention in using mobile payment at convenience stores. In ACM International Conference Proceeding Series (pp. 357–362). New York, New York, USA: ACM Press.
Lawrence, J. E., & Tar, U. A. (2010). Barriers to E-Commerce in Developing Countries. Journal of Global Information Management, 3(1), 23–35.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204.
Li, L. (2010). A Critical Review of Technology Acceptance Literature. In Southwest Decision Sciences Institute (p. 22). Dallas: Southwest Decision Sciences Institute. Retrieved from http://www.swdsi.org/swdsi2010/SW2010_Preceedings/papers/PA104.pdf
Lin, X., Li, Y., & Wang, X. (2017). Social Commerce Research: Definition, Research Themes and The Trends. International Journal of Information Management, 37(3), 190–201.
Linck, K; Pousttchi, Key; Wiedmann, D. G. (2006). Security Issues in Mobile Payment from the Customer Viewpoint. In Proceedings of the 14th European Conference on Information Systems (ECIS 2006). Göteborg, Schweden: ECIS.
Mallya, J., & Lakshminarayanan, S. (2017). Factors influencing usage of internet for academic purposes using technology acceptance model. DESIDOC Journal of Library and Information Technology, 37(2), 119–124.
Matute, Jorge; Polo-Redondo, Yolanda; Ultrilla, A. (2016). The influence of EWOM characteristics on online repurchase intention: Mediating roles of trust and perceived usefulness. Online Information Review, 40(7), 1090–1110.
McCoy, S., Galletta, D. F., & King, W. R. (2007). Applying TAM across cultures: The need for caution. European Journal of Information Systems, 16(1), 81–90.
Nadler, S., Chen, A. N., & Lin, S. (2019). E-payment Usage among Young Urban Chinese. Journal of Business Diversity, 19(3), 75–88.
Patil, P. P., Dwivedi, Y. K. & Rana, N. P. (2017). Digital payments adoption: An analysis of literature. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10595 LNCS, pp. 61–70). Springer Verlag.
Rahayu, R., & Day, J. (2015). Determinant Factors of E-commerce Adoption by SMEs in Developing Country: Evidence from Indonesia. Procedia - Social and Behavioral Sciences, 195, 142–150.
Saifuddin Ahmed. (2009). Methods in Sample Surveys: Sample Size and Power Estimation. Biostatistics Department School of Hygiene and Public Health Johns Hopkins University. https://doi.org/140.640
Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems, 101(4), 165–177.
Siregar, J. J., Wardaya Puspokusumo, R. A. A., & Rahayu, A. (2017). Analysis of Affecting Factors Technology Acceptance Model in the Application of Knowledge Management for Small Medium Enterprises in Industry Creative. In Procedia Computer Science (pp. 500–508).
Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2013). Mobile payment adoption: Classification and review of the extant literature. The Marketing Review, 13(2), 167–190.
Sun, J., & Teng, J. T. C. (2017). The construct of information systems use benefits: Theoretical explication of its underlying dimensions and the development of a measurement scale. International Journal of Information Management, 37(5), 400–416.
Turban, E., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2015). Electronic Commerce: A Managerial and Social Networks Perspective. Springer Texts in Business and Economics (Eighth, Vol. 102). New York: Springer International Publishing.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.
Venkatesh, V., & Brown, S. A. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods: Research in information system. MIS Quarterly, 10(10), 1–34.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Viehland, D., & Leong, R. S. Y. (2007). Acceptance and Use of Mobile Payments. In 18th Australasian Conference on Information Systems (pp. 665–671).
Wenner, G., Bram, J. T., Marino, M., Obeysekare, E., & Mehta, K. (2018). Organizational models of mobile payment systems in low-resource environments. Information Technology for Development, 24(4), 681–705.
Williams, M. D., Dwivedi, Y. K., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1–10.
Xena, P., & Rahadi, R. A. (2019). Adoption of e-payment to support small medium enterprise payment system: A conceptualised model. International Journal of Accounting, 4(18), 32–41.
Ahmad, M. A. (2013). Effect of e-Commerce on accounting information system, computerization process, and cost productivity. American Journal of Computer Technology and Application, 1(1), 1–6.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Al-ma'aitah, M., & Shatat, A. (2011). Empirical study in the security of electronic payments systems. Journal of Computer Science, 8(4), 393–401.
Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2016). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64, 843–858.
Antwi, S. K., Hamza, K., & Bavoh, S. W. (2015). Examining the effectiveness of electronic payment system in Ghana: The case of e-ZWICH in the tamale metropolis. Research Journal of Finance and Accounting Online, 6(2), 2222–2847.
Ardiansah, M. N., Chariri, A., & Januarti, I. (2019). Empirical study on customer perception of e-commerce: Mediating effect of electronic payment security. Jurnal Dinamika Akuntansi, 11(2), 12–29.
Arora, S., & Sahney, S. (2018). Antecedents to consumers’ showrooming behaviour: An integrated TAM-TPB framework. Journal of Consumer Marketing, 35(4), 438–450.
Asokan, N., Schunter, M., & Waidner, M. (1996). Optimistic Protocols for Fair Exchange. https://doi.org/10.1145/266420.266426
Barkhordari, M., Nourollah, Z., Mashayekhi, H., Mashayekhi, Y., & Ahangar, M. S. (2017). Factors influencing adoption of e-payment systems: an empirical study on Iranian customers. Information Systems and E-Business Management, 15(1), 89–116.
Barnett, T., Pearson, A. W., Pearson, R., & Kellermanns, F. W. (2015). Five-factor Model Personality Traits as Predictors of Perceived and Actual Usage of Technology. European Journal of Information Systems, 24(4), 374–390.
Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368.
Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265–284.
Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165–181.
Darwis, Y. (2013). Communication media (e-Commerce ) as a Supporting Factor in Indonesia’s Fashion Industry in the International Business Competition. The International Journal of Organizational Innovation, 5(3), 206–220.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
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.
Fishbein, M., & Ajzen, I. (1975). Belief Attitude, Intention and Behavior.pdf (1st ed.). USA: Addison Wesley Publishing Company.
Ghozali, I., & Ratmono, D. (2013). Analisis Multivariat dan Ekonometrika: Teori, Konsep dan Aplikasi dengan EViews 8 (1st editio). Semarang: Badan Penerbit Undip.
Gordon, L. A., & Miller, D. (1976). A contingency framework for the design of accounting information systems. In Readings in accounting for management control (pp. 569-585). Springer, Boston, MA.
Hamad, H., Elbeltagi, I., Jones, P., & El-Gohary, H. (2015). Antecedents of B2B e-commerce adoption and its effect on competitive advantage in manufacturing SMEs. Strategic Change, 24(5), 405–428.
Hopwood, A. G. (1983). On trying to study accounting in the contexts in which it operates. Accounting, Organizations and Society, 8(2–3), 287–305.
Hopwood, A. G. (1987). The Archeology of Accounting Systems. Accounting, Organizations and Society, 12(3), 207–234.
Hossain, M. S., & Zhou, X. (2018). Impact of m-payments on purchase intention and customer satisfaction : perceived flow as mediator. International Journal of Science and Business, 2(3), 503–517.
Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2(2), 032–040.
Kabir, M. A., Saidin, S. Z., & Ahmi, A. (2015). Adoption of e-Payment Systems : A Review of Literature. Proceedings of the International Conference on E-Commerce (ICoEC) 2015, 2012, 112–120.
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.
Lai, P. (2017). The Literature Review of Technology Adoption Models and Theories for the Novelty Technology. Journal of Information Systems and Technology Management, 14(1), 21–38.
Lau, M. M., Lam, A. Y. C., Cheung, R., & Leung, T. F. (2019). Understanding determinants of customer behavioral intention in using mobile payment at convenience stores. In ACM International Conference Proceeding Series (pp. 357–362). New York, New York, USA: ACM Press.
Lawrence, J. E., & Tar, U. A. (2010). Barriers to E-Commerce in Developing Countries. Journal of Global Information Management, 3(1), 23–35.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204.
Li, L. (2010). A Critical Review of Technology Acceptance Literature. In Southwest Decision Sciences Institute (p. 22). Dallas: Southwest Decision Sciences Institute. Retrieved from http://www.swdsi.org/swdsi2010/SW2010_Preceedings/papers/PA104.pdf
Lin, X., Li, Y., & Wang, X. (2017). Social Commerce Research: Definition, Research Themes and The Trends. International Journal of Information Management, 37(3), 190–201.
Linck, K; Pousttchi, Key; Wiedmann, D. G. (2006). Security Issues in Mobile Payment from the Customer Viewpoint. In Proceedings of the 14th European Conference on Information Systems (ECIS 2006). Göteborg, Schweden: ECIS.
Mallya, J., & Lakshminarayanan, S. (2017). Factors influencing usage of internet for academic purposes using technology acceptance model. DESIDOC Journal of Library and Information Technology, 37(2), 119–124.
Matute, Jorge; Polo-Redondo, Yolanda; Ultrilla, A. (2016). The influence of EWOM characteristics on online repurchase intention: Mediating roles of trust and perceived usefulness. Online Information Review, 40(7), 1090–1110.
McCoy, S., Galletta, D. F., & King, W. R. (2007). Applying TAM across cultures: The need for caution. European Journal of Information Systems, 16(1), 81–90.
Nadler, S., Chen, A. N., & Lin, S. (2019). E-payment Usage among Young Urban Chinese. Journal of Business Diversity, 19(3), 75–88.
Patil, P. P., Dwivedi, Y. K. & Rana, N. P. (2017). Digital payments adoption: An analysis of literature. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10595 LNCS, pp. 61–70). Springer Verlag.
Rahayu, R., & Day, J. (2015). Determinant Factors of E-commerce Adoption by SMEs in Developing Country: Evidence from Indonesia. Procedia - Social and Behavioral Sciences, 195, 142–150.
Saifuddin Ahmed. (2009). Methods in Sample Surveys: Sample Size and Power Estimation. Biostatistics Department School of Hygiene and Public Health Johns Hopkins University. https://doi.org/140.640
Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems, 101(4), 165–177.
Siregar, J. J., Wardaya Puspokusumo, R. A. A., & Rahayu, A. (2017). Analysis of Affecting Factors Technology Acceptance Model in the Application of Knowledge Management for Small Medium Enterprises in Industry Creative. In Procedia Computer Science (pp. 500–508).
Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2013). Mobile payment adoption: Classification and review of the extant literature. The Marketing Review, 13(2), 167–190.
Sun, J., & Teng, J. T. C. (2017). The construct of information systems use benefits: Theoretical explication of its underlying dimensions and the development of a measurement scale. International Journal of Information Management, 37(5), 400–416.
Turban, E., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2015). Electronic Commerce: A Managerial and Social Networks Perspective. Springer Texts in Business and Economics (Eighth, Vol. 102). New York: Springer International Publishing.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.
Venkatesh, V., & Brown, S. A. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods: Research in information system. MIS Quarterly, 10(10), 1–34.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Viehland, D., & Leong, R. S. Y. (2007). Acceptance and Use of Mobile Payments. In 18th Australasian Conference on Information Systems (pp. 665–671).
Wenner, G., Bram, J. T., Marino, M., Obeysekare, E., & Mehta, K. (2018). Organizational models of mobile payment systems in low-resource environments. Information Technology for Development, 24(4), 681–705.
Williams, M. D., Dwivedi, Y. K., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1–10.
Xena, P., & Rahadi, R. A. (2019). Adoption of e-payment to support small medium enterprise payment system: A conceptualised model. International Journal of Accounting, 4(18), 32–41.