How to cite this paper
Suhud, U., Budak, T & Benk, S. (2020). Antecedents of e-money adoption intention among Indonesian and Turkish consumers.Management Science Letters , 10(3), 609-616.
Refrences
Ayeh, J. K., Au, N., & Law, R. (2013). Predicting the intention to use consumer-generated media for travel planning. Tourism Management, 35, 132-143.
Badrinarayanan, V., Becerra, E. P., & Madhavaram, S. (2014). Influence of congruity in store-attribute dimensions and self-image on purchase intentions in online stores of multichannel retailers. Journal of Retailing and Consumer services, 21(6), 1013-1020.
Belkhamza, Z., & Wafa, S. A. (2015). The effect of perceived risk on the intention to use e-commerce: The case of Algeria. The Journal of Internet Banking and Commerce, 2009.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
European Central Bank. (1998). Report on electronic money Retrieved from https://www.ecb.europa.eu/pub/pdf/other/emoneyen.pdf.
Gunawan, H. (2015). BI to promote e-money transactions in 2015 (in Bahasa Indonesia). Retrieved from Kontan.co.id website: http://english.kontan.co.id/news/bi-to-promote-e-money-transactions-in-2015
Hair Jr., J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6 ed.). New Jersey: Prentice-Hall, Inc.
Hsu, C.-L., & Lin, J. C.-C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74.
Hu, L.-t., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling. Concepts, issues, and applications (pp. 76-99). London: Sage.
Hu, L.-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
Kleijnen, M., Wetzels, M., & De Ruyter, K. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206-217.
Kulviwat, S., Bruner, G. C., & Al-Shuridah, O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. Journal of Business Research, 62(7), 706-712.
Lu, J., Yao, J. E., & Yu, C.-S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268.
Lukman, E. (2014). Here are 17 emoney options Indonesians can use for shopping, travel, and ecommerce. Retrieved from Tech in Asia website: https://www.techinasia.com/17-emoney-options-indonesia
Malhotra, Y., & Galletta, D. F. (1999). Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. Paper presented at the Systems sciences, 1999. HICSS-32. Proceedings of the 32nd annual Hawaii international conference on.
Miliani, L., Purwanegara, M. S., & Indriani, M. T. D. (2013). Adoption behavior of e-money usage. Information Management and Business Review, 5(7), 369.
Nasri, W. (2011). Factors influencing the adoption of internet banking in Tunisia. International Journal of Business and Management, 6(8), 143-160.
Osah, O., & Kyobe, M. (2017). Predicting user continuance intention towards M-pesa in Kenya. African Journal of Economic and Management Studies, 8(1), 36-50.
Sabah, N. M. (2016). Exploring students' awareness and perceptions: Influencing factors and individual differences driving m-learning adoption. Computers in Human Behavior, 65, 522-533.
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management science, 42(1), 85-92.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5 ed.). Boston Pearson/Allyn & Bacon.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
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.
Wahyuningsih, R. (2016). Already have e-money? These tpes and lstings of many favorite products (in Bahasa Indonesia). Retrieved from Cermati website: https://www.cermati.com/artikel/sudah-punya-e-money-ini-jenis-dan-daftar-produk-yang-banyak-digemari
Wang, S.-m., & Lin, J. C.-C. (2011). The effect of social influence on bloggers' usage intention. Online Information Review, 35(1), 50-65.
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.
Yoo, B., & Lee, S.-H. (2009). Buy genuine luxury fashion products or counterfeits? NA-Advances in Consumer Research Volume 36.
Yu, S. (2009). Factors influencing the use of mobile banking: The case of SMS-based mobile banking. AUT University.
Zhou, T. (2011). The effect of initial trust on user adoption of mobile payment. Information Development, 27(4), 290-300.
Badrinarayanan, V., Becerra, E. P., & Madhavaram, S. (2014). Influence of congruity in store-attribute dimensions and self-image on purchase intentions in online stores of multichannel retailers. Journal of Retailing and Consumer services, 21(6), 1013-1020.
Belkhamza, Z., & Wafa, S. A. (2015). The effect of perceived risk on the intention to use e-commerce: The case of Algeria. The Journal of Internet Banking and Commerce, 2009.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
European Central Bank. (1998). Report on electronic money Retrieved from https://www.ecb.europa.eu/pub/pdf/other/emoneyen.pdf.
Gunawan, H. (2015). BI to promote e-money transactions in 2015 (in Bahasa Indonesia). Retrieved from Kontan.co.id website: http://english.kontan.co.id/news/bi-to-promote-e-money-transactions-in-2015
Hair Jr., J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6 ed.). New Jersey: Prentice-Hall, Inc.
Hsu, C.-L., & Lin, J. C.-C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74.
Hu, L.-t., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling. Concepts, issues, and applications (pp. 76-99). London: Sage.
Hu, L.-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
Kleijnen, M., Wetzels, M., & De Ruyter, K. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206-217.
Kulviwat, S., Bruner, G. C., & Al-Shuridah, O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. Journal of Business Research, 62(7), 706-712.
Lu, J., Yao, J. E., & Yu, C.-S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268.
Lukman, E. (2014). Here are 17 emoney options Indonesians can use for shopping, travel, and ecommerce. Retrieved from Tech in Asia website: https://www.techinasia.com/17-emoney-options-indonesia
Malhotra, Y., & Galletta, D. F. (1999). Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. Paper presented at the Systems sciences, 1999. HICSS-32. Proceedings of the 32nd annual Hawaii international conference on.
Miliani, L., Purwanegara, M. S., & Indriani, M. T. D. (2013). Adoption behavior of e-money usage. Information Management and Business Review, 5(7), 369.
Nasri, W. (2011). Factors influencing the adoption of internet banking in Tunisia. International Journal of Business and Management, 6(8), 143-160.
Osah, O., & Kyobe, M. (2017). Predicting user continuance intention towards M-pesa in Kenya. African Journal of Economic and Management Studies, 8(1), 36-50.
Sabah, N. M. (2016). Exploring students' awareness and perceptions: Influencing factors and individual differences driving m-learning adoption. Computers in Human Behavior, 65, 522-533.
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management science, 42(1), 85-92.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5 ed.). Boston Pearson/Allyn & Bacon.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
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.
Wahyuningsih, R. (2016). Already have e-money? These tpes and lstings of many favorite products (in Bahasa Indonesia). Retrieved from Cermati website: https://www.cermati.com/artikel/sudah-punya-e-money-ini-jenis-dan-daftar-produk-yang-banyak-digemari
Wang, S.-m., & Lin, J. C.-C. (2011). The effect of social influence on bloggers' usage intention. Online Information Review, 35(1), 50-65.
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.
Yoo, B., & Lee, S.-H. (2009). Buy genuine luxury fashion products or counterfeits? NA-Advances in Consumer Research Volume 36.
Yu, S. (2009). Factors influencing the use of mobile banking: The case of SMS-based mobile banking. AUT University.
Zhou, T. (2011). The effect of initial trust on user adoption of mobile payment. Information Development, 27(4), 290-300.