|
Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60(1), 97-111. Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of users perceptions in information technology adoption. Decision Support Systems, 22(1), 15-29. Ameh, A. I., Olanyi, O. M., & Adewale, O. S. (2016). Securing cardless automated teller machine transactions using bimodal authentication system. Journal of Applied Security Research, 11(4), 469-488. Apanasevic, T., Markendahl, J., & Arvidsson, N. (2016). Stakeholders' expectations of mobile payment in retail: Lessons from Sweden. International Journal of Bank Marketing, 34(1), 37-61. Arnold, M. J., & Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77-95. Arnould, E. J. (1989). Toward a broadened theory of preference formation and the diffusion of innovations: Cases from Zinder Province, Niger Republic. Journal of Consumer Research, 16(2), 239-267. Arvidsson, N. (2014). Consumer attitudes on mobile payment services–results from a proof of concept test. International Journal of Bank Marketing, 32(2), 150-170. Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656. Bátiz-Lazo, B., Haigh, T., & Stearns, D. L. (2014). How the future shaped the past: The case of the cashless society. Enterprise & Society, 15(1), 103-131. Chang, I.-C., Liu, C.-C., & Chen, K. (2014). The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games. Internet Research, 24(1), 21-45. Charmaz, K., & Belgrave, L. L. (2007). Grounded theory. The Blackwell encyclopedia of sociology. Chen, L.-d. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52. Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511-535. Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e‐commerce: The roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114. Chou, H. W. (2001). Effects of training method and computer anxiety on learning performance and self-efficacy. Computers in Human Behavior, 17(1), 51-69. doi: https://doi.org/10.1016/S0747-5632(00)00035-2 Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010). Who interacts on the Web?: The intersection of users’ personality and social media use. Computers in Human Behavior, 26(2), 247-253. doi: https://doi.org/10.1016/j.chb.2009.09.003 Dauda, S. Y., & Lee, J. (2015). Technology adoption: A conjoint analysis of consumers׳ preference on future online banking services. Information Systems, 53(1), 1-15. Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: an application of UTAUT model. International Journal of Business and Management, 6(4), 161. Gallivan, M. J., Spitler, V. K., & Koufaris, M. (2005). Does information technology training really matter? A social information processing analysis of coworkers' influence on IT usage in the workplace. Journal of Management Information Systems, 22(1), 153-192. Garcia-Swartz, D. D., Hahn, R. W., & Layne-Farrar, A. (2006). The move toward a cashless society: A closer look at payment instrument economics. Review of Network Economics, 5(2), 199-228. Grimsley, M., & Meehan, A. (2007). e-Government information systems: Evaluation-led design for public value and client trust. European Journal of Information Systems, 16(2), 134-148. Haider, M., & Kreps, G. L. (2004). Forty years of diffusion of innovations: Utility and value in public health. Journal of Health Communication, 9(1), 3-11. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis . Harlow: United Kingdom: Pearson Education Limited. Ho, V. T., Ang, S., & Straub, D. (2003). When subordinates become IT contractors: Persistent managerial expectations in IT outsourcing. Information Systems Research, 14(1), 66-86. Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140. Hsieh, J. P.-A., Rai, A., & Keil, M. (2008). Understanding digital inequality: Comparing continued use behavioral models of the socio-economically advantaged and disadvantaged. MIS quarterly, 97-126. Huh, Y. E., & Kim, S.-H. (2008). Do early adopters upgrade early? Role of post-adoption behavior in the purchase of next-generation products. Journal of Business Research, 61(1), 40-46. Hussain, M. (2017). The determinants of repeat purchase intention for luxury brands among generation Y consumers in Malaysia. Asian Social Science, 13(9), 125-135. Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & management, 48(1), 1-8. Irma Becerra-Fernandez, R. S. (2001). Organizational knowledge management: A contingency perspective. Journal of management information systems, 18(1), 23-55. Istrate, C. M. (2014). Cardless withdrawal system for mobile banking applications. Journal of Mobile, Embedded and Distributed Systems, 6(1), 11-16. Jacob, M., Mathew, N., Jose, R. M., Siby, S., & Sekhar, N. C. (2016). QR based card-less ATM tTransactions. Journal for Research Volume, 2(2), 11-25. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17(5), 1039-1056. Kim, H.-W., Chan, H. C., & Kankanhalli, A. (2012). What motivates people to purchase digital items on virtual community websites? The desire for online self-presentation. Information systems research, 23(4), 1232-1245. Kim, Y., Park, Y.-J., & Choi, J. (2016). The adoption of mobile payment services for “Fintech. International Journal of Applied Engineering Research, 11(2), 1058-1061. Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile users engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56(0), 361-370. Lai, P. (2016). Design and Security impact on consumers' intention to use single platform E-payment. Interdisciplinary Information Sciences, 22(1), 111-122. Lee, S.-H., Noh, S.-E., & Kim, H.-W. (2013). A mixed methods approach to electronic word-of-mouth in the open-market context. International Journal of Information Management, 33(4), 687-696. Li, M., Dong, Z., & Chen, X. (2012). Factors influencing consumption experience of mobile commerce: A study from experiential view. Internet Research, 22(2), 120-141. Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35(0), 464-478. Lin, C.-P., & Anol, B. (2008). Learning online social support: an investigation of network information technology based on UTAUT. CyberPsychology & behavior, 11(3), 268-272. Lin, H.-F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252-260. Lin, K.-Y., & Lu, H.-P. (2015). Predicting mobile social network acceptance based on mobile value and social influence. Internet Research, 25(1), 107-130. 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. Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393-403. Montazemi, A. R., & Qahri-Saremi, H. (2015). Factors affecting adoption of online banking: A meta-analytic structural equation modeling study. Information & Management, 52(2), 210-226. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. Noh, M., Runyan, R., & Mosier, J. (2014). Young consumers' innovativeness and hedonic/utilitarian cool attitudes. International Journal of Retail & Distribution Management, 42(4), 267-280. Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330-346. Oldenburg, B., & Glanz, K. (2008). Diffusion of innovations. Health Behavior and Health Education-Theory Research, and Practice, 1(0), 313-330. Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(0), 404-414. Püschel, J., Afonso Mazzon, J., & Mauro C. Hernandez, J. (2010). Mobile banking: Proposition of an integrated adoption intention framework. International Journal of Bank Marketing, 28(5), 389-409. Rai, A., Ravichandran, T., & Samaddar, S. (1998). How to anticipate the Internet's global diffusion. Communications of the ACM, 41(10), 97-106. Rand, E. T. G. K. (2006). Managing Service Quality: An International Journal. Managing Service Quality, 16(5), 501-519. Rogers, E. M. (2002). Diffusion of preventive innovations. Addictive Behaviors, 27(6), 989-993. Rogers, E. M. (2010). Diffusion of innovations: Hohenheim : Simon and Schuster. Rogers, E. M., & Shoemaker, F. F. (1971). Communication of Innovations: A cross-cultural approach. New York, 1(0), 34-47. Scherer, A., Wünderlich, N. V., & Von Wangenheim, F. (2015). The value of self-service: Long-term effects of technology-based self-service usage on customer retention. MIS Quarterly, 39(1), 177-200. Shaikh, A. A., Hanafizadeh, P., & Karjaluoto, H. (2017). Mobile banking and payment system: A conceptual standpoint. International Journal of E-Business Research (IJEBR), 13(2), 14-27. Shibl, R., Lawley, M., & Debuse, J. (2013). Factors influencing decision support system acceptance. Decision Support Systems, 54(2), 953-961. Srivastava, S. C., Chandra, S., & Theng, Y.-L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis. Communications of the Association for Information Systems, 27(0), 561-588. Strauss, A., & Corbin, J. (1967). Discovery of grounded theory. Strauss, A., & Corbin, J. M. (1990). Basics of qualitative research: Grounded theory procedures and techniques: Sage Publications, Inc. Tan, G. W.-H., Ooi, K.-B., Chong, S.-C., & Hew, T.-S. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31(2), 292-307. Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the AIS, 1(1), 5-16. Vahedi, R., Lotfi, F. H., & Najafi, S. E. (2016). Promote Mobile Banking Services by using National Smart Card Capabilities and NFC Technology. Information Systems & Telecommunication, 1(0), 174-181. Van der Heijden, H. (2004). Users acceptance of hedonic information systems. MIS quarterly, 1(0), 695-704. Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly, 37(1), 425-478. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). Users acceptance of information technology: Toward a unified view. MIS Quarterly, 37(1), 425-478. Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178. Wang, C.-y., & Mattila, A. S. (2010). A grounded theory model of service providers' stress, emotion, and coping during intercultural service encounters. Managing Service Quality: An International Journal, 20(4), 328-342. Weatherall, J. W., Ann. (2000). A grounded theory analysis of older adults and information technology. Educational Gerontology, 26(4), 371-386. Wong, C.-H., Tan, G. W.-H., Tan, B.-I., & Ooi, K.-B. (2015). Mobile advertising: The changing landscape of the advertising industry. Telematics and Informatics, 32(4), 720-734. Wu, J., Liu, L., & Huang, L. (2017). Consumer acceptance of mobile payment across time: Antecedents and moderating role of diffusion stages. Industrial Management & Data Systems, 117(8), 1761-1776. Zhang, X., de Pablos, P. O., & Xu, Q. (2014). Culture effects on the knowledge sharing in multi-national virtual classes: A mixed method. Computers in Human Behavior, 31, 491-498. doi: https://doi.org/10.1016/j.chb.2013.04.021 Zhou, T. (2012). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518-1525. Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091. Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking users adoption. Computers in Human Behavior, 26(4), 760-767.
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