References
- Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., and Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177-1190. doi:10.1016/j.tele.2017.05.008
- Alcantara-Pilar, J. M., Del Barrio-Garcia, S., and Porcu, L. (2013). A cross-cultural analysis of the effect of language on perceived risk online. Computers in Human Behavior, 29(3), 596-603. doi:10.1016/j.chb.2012.10.021
- Bagozzi, R. (1992). The self-regulation of attitudes, intentions, and behavior. Social Psychology Quarterly, 55(2), 178-204. https://doi.org/10.2307/2786945
- Bauer, H. H., Barnes, S. J., Reichardt, T., and Neumann, M. M. (2005). Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study. Journal of Electronic Commerce Research, 6(3), 181-192.
- Bauer, R. A. (1960a). Consumer behavior as risk taking. Conference of the American Marketing Association.
- Bauer, R. A. (1960b). Consumer behavior as risk taking dynamic marking for a changing world. Chicago: American Marketing Association.
- Bunduchi, R., Smart, A., Charles, K., McKee, L., and Azuara-Blanco, A. (2015). When innovation fails: An institutional perspective of the (non)adoption of boundary spanning IT innovation. Information and Management, 52(5), 563-576. doi:10.1016/j.im.2015.04.001
- Busalim, A. H., and Hussin, A. R. C. (2016). Understanding social commerce: A systematic literature review and directions for further research. International Journal of Information Management, 36(6), 1075-1088. doi:10.1016/j.ijinfomgt.2016.06.005
- Chen, C. F., and Chen, F. S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31(1), 29-35. doi:10.1016/j.tourman.2009.02.008
- Chen, C. F., and Chen, F. S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31(1), 29-35. doi:10.1016/j.tourman.2009.02.008
- Chen, L. D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52. https://doi.org/10.1504/IJMC.2008.015997
- Cheng, Y. H., and Huang, T. Y. (2013). High speed rail passengers' mobile ticketing adoption. Transportation Research Part C: Emerging Technologies, 30, 143-160. doi:10.1016/j.trc.2013.02.001
- Chhonker, M. S., Verma, D., and Kar, A. K. (2017). Review of technology adoption frameworks in mobile commerce. Procedia Computer Science, 122, 888-895. doi:10.1016/j.procs.2017.11.451
- Chhonker, M. S., Verma, D., Kar, A. K., and Grover, P. (2018). M-commerce technology adoption. The Bottom Line, 31(3/4), 208-233. doi:10.1108/BL-04-2018-0020
- Chung, K. C., and Holdsworth, D. K. (2012). Culture and behavioural intent to adopt mobile commerce among the Y Generation: Comparative analyses between Kazakhstan, Morocco and Singapore. Young Consumers, 13(3), 224-241. doi:10.1108/17473611211261629
- Cocosila, M., and Trabelsi, H. (2016). Electronic commerce research and applications an integrated value-risk investigation of contactless mobile payments adoption. Electronic Commerce Research and Applications, 20, 159-170. doi:10.1016/j.elerap.2016.10.006
- Cox, D. F. (1967). Risk taking and information handling in consume behavior. Harvard University.
- Cunningham, S. M. (1967). The major dimensions of perceived risk. In Risk taking and information handling in consumer behavior (pp. 82-111).
- Cunningham, S. M. (1967). The major dimensions of perceived risk. In Risk taking and information.
- Dahlberg, T., Guo, J., and Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265-284. doi:10.1016/j.elerap.2015.07.006
- Dahlberg, T., Mallat, N., Ondrus, J., and Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165-181. doi:10.1016/j.elerap.2007.02.001
- Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. doi:10.1287/mnsc.35.8.982
- De Sena Abrahao, R., Moriguchi, S. N., and Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT). RAI Revista de Administracao e Inovacao, 13(3), 221-230. doi:10.1016/j.rai.2016.06.003
- Denyer, D., and Tranfield, D. (2009). Producing a systematic review. In The SAGE handbook of organizational research methods (pp. 671-689). doi:10.1080/03634528709378635
- Dewey, A., and Drahota, A. (2016). Introduction to systematic reviews: Online learning module. Cochrane Training, http://Training.Cochrane.Org/Path/Introduction-Systematic-Reviewspathway/1
- Dziopa, F., and Ahern, K. (2011). A systematic literature review of the applications of Q-technique and its methodology. Methodology, 7(2), 39-55. doi:10.1027/1614-2241/a000021
- Farivar, S., Turel, O., and Yuan, Y. (2017). A trust-risk perspective on social commerce use: An examination of the biasing role of habit. Internet Research, 27(3), 586-607. doi:10.1108/IntR-06-2016-0175
- Featherman, M. S., and Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. doi:10.1016/S1071-5819(03)00111-3
- Fishbein, M., and Ajzen, I. (1975). Belief, intention and behavior: An introduction to theory and research. Reading: Addison Wesley.
- Gerhardt, P., Schilke, O., Wirtz, B. W., Schierz, P. G., Schilke, O., Wirtz, B. W., Gerhardt, P., Schilke, O., and Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216. doi:10.1016/j.elerap.2009.07.005
- Gerpott, T. J., and Kornmeier, K. (2009). Determinants of customer acceptance of MPSs. International Journal of Electronic Finance, 3(1), 1. doi:10.1504/ijef.2009.024267
- Ghezzi, A., Renga, F., Balocco, R., and Pescetto, P. (2010). Mobile payment applications: Offer state of the art in the Italian market. Info, 12(5), 3-22. doi:10.1108/14636691011071130
- Gong, X., Zhang, K. Z. K., Chen, C., Cheung, C. M. K., and Lee, M. K. O. (2020). Transition from web to mobile payment services: The triple effects of status quo inertia. International Journal of Information Management, 50, 310-324. doi:10.1016/j.ijinfomgt.2019.08.006
- Hedman, J., Tan, F. B., Holst, J., and Kjeldsen, M. (2017). Taxonomy of payments: A repertory grid analysis. International Journal of Bank Marketing, 35(1), 75-96. doi:10.1108/IJBM-12-2015-0187
- Herrera, L. J., Guill, A., Liebana-Cabanillas, F., Herrera, L. J., Guillen, A., and Guill, A. (2016). Computers in human behavior variable selection for payment in social networks: Introducing the hy-index. Computers in Human Behavior, 56, 45-55. doi:10.1016/j.chb.2015.10.022
- Hong, I. B., and Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927-939. doi:10.1016/j.ijinfomgt.2013.08.007
- Hsu, H. Y. S., and Kulviwat, S. (2006). An integrative framework of technology acceptance model and personalisation in mobile commerce. International Journal of Technology Marketing, 1(4), 393. doi:10.1504/IJTMKT.2006.010734
- Hu, L., and 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. doi:10.1080/10705519909540118
- Huang, Y. C., Tsay, W. D., Huang, C. H., Lin, Y. H., and Lai, M. C. (2011). The influence factors of electronic bill presentment and payment : A case study of mobile phone bill. 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce(AIMSEC), 4844-4847. doi:10.1109/AIMSEC.2011.6010351
- Isaac, O., Mutahar, A. M., Daud, N. M., Ramayah, T., and Aldholay, A. H. (2018). The effect of awareness and perceived risk on the technology acceptance model (TAM): Mobile banking in Yemen. International Journal of Services and Standards, 12(2), 180. doi:10.1504/ijss.2018.10012980
- Johnson, V. L., Kiser, A., Washington, R., and Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111-122. doi:10.1016/j.chb.2017.10.035
- Johnson-George, C., and Swap, W. C. (1982). Measurement of specific interpersonal trust: Construction and validation of a scale to assess trust in a specific other. Journal of Personality and Social Psychology, 43(6), 1306-1317. doi:10.1037/0022-3514.43.6.1306
- Karoubi, B., Chenavaz, R., and Paraschiv, C. (2016). Consumers' perceived risk and hold and use of payment instruments. Applied Economics, 48(14), 1317-1329. doi:10.1080/00036846.2015.1100249
- Karsen, M., Chandra, Y. U., and Juwitasary, H. (2019). Technological factors of mobile payment: A systematic literature review. Procedia Computer Science, 157, 489-498. doi:10.1016/j.procs.2019.09.004
- Khalilzadeh, J., Bulent, A., and Bilgihan, A. (2020). Computers in human behavior security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70(2017), 460-474. doi:10.1016/j.chb.2017.01.001
- Khalilzadeh, J., Ozturk, A. B., and Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70(2017), 460-474. doi:10.1016/j.chb.2017.01.001
- Kim, C., Mirusmonov, M., and Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322. doi:10.1016/j.chb.2009.10.013
- Kim, D. J., Ferrin, D. L., and Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564. doi:10.1016/j.dss.2007.07.001
- Koenig-Lewis, N., Marquet, M., Palmer, A., and Zhao, A. L. (2015). Enjoyment and social influence: Predicting mobile payment adoption. Service Industries Journal, 35(10), 537-554. doi:10.1080/02642069.2015.1043278
- Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking. Journal of Business Research, 69(7), 2432-2439. doi:10.1016/j.jbusres.2016.01.013
- Lebbe, S. S., Mohamad, A., and Sifat, I. M. (2019). Back to the future: Returning to silver-backed money in Sri Lanka. Journal of Islamic Accounting and Business Research, 10(1), 73-97. doi:10.1108/JIABR08-2015-0039
- Liang, C. T. H., Alvarez, A. N., Juang, L. P., and Liang, M. X. (2007). The role of coping in the relationship between perceived racism and racism-related stress for Asian Americans: Gender differences. Journal of Counseling Psychology, 54(2), 132-141. doi:10.1037/0022-0167.54.2.132
- Liebana-Cabanillas, F., Munoz-Leiva, F., and Sanchez-Fernandez, J. (2015). Behavioral model of younger users in m-payment systems. Journal of Organizational Computing and Electronic Commerce, 25(2), 169-190. doi:10.1080/10919392.2015.1033947
- Liebana-Cabanillas, F., Sanchez-Fernandez, J., and Munoz-Leiva, F. (2014a). Antecedents of the adoption of the new MPSs: The moderating effect of age. Computers in Human Behavior, 35, 464-478. doi:10.1016/j.chb.2014.03.022
- Liebana-Cabanillas, F., Sanchez-Fernandez, J., and Munoz-Leiva, F. (2014a). Antecedents of the adoption of the new MPSs: The moderating effect of age. Computers in Human Behavior, 35, 464-478. doi:10.1016/j.chb.2014.03.022
- Liebana-Cabanillas, F., Sanchez-Fernandez, J., and Munoz-Leiva, F. (2014b). The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34(2), 151-166. doi:10.1016/j.ijinfomgt.2013.12.006
- Lim, N. (2003). Consumers' perceived risk: Sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228. doi:10.1016/S1567-4223(03)00025-5
- Lu, Y., Yang, S., Chau, P. Y. K., and Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information and Management, 48(8), 393-403. doi:10.1016/j.im.2011.09.006
- Maestrini, V., Luzzini, D., Maccarrone, P., and Caniato, F. (2017). Supply chain performance measurement systems: A systematic review and research agenda. International Journal of Production Economics, 183, 299-315. doi:10.1016/j.ijpe.2016.11.005
- Makanyeza, C. (2017). Determinants of consumers' intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing, 35(6), 997-1017. doi:10.1108/IJBM-07-2016-0099
- Makki, A. M., Ozturk, A. B., and Singh, D. (2016). Role of risk, self-efficacy, and innovativeness on behavioral intentions for MPSs in the restaurant industry. Journal of Foodservice Business Research, 19(5), 454-473. doi:10.1080/15378020.2016.1188646
- Mallat, N. (2007). Exploring consumer adoption of mobile payments-A qualitative study. Journal of Strategic Information Systems, 16(4), 413-432. doi:10.1016/j.jsis.2007.08.001
- Mallat, N., Rossi, M., and Tuunainen, V. K. (2004). Mobile banking services. Communications of the ACM, 47(5), 42-46. doi:10.1145/986213.986236
- Mitchell, V. (1992). Consumers' behaviour: Can perceived risk. Management Decision, 30(3), 26-31.
- Olivero, N., and Lunt, P. (2004). Privacy versus willingness to disclose in e-commerce exchanges: The effect of risk awareness on the relative role of trust and control. Journal of Economic Psychology, 25(2), 243262. doi:10.1016/S0167-4870(02)00172-1
- Ozkan, S., Bindusara, G., and Hackney, R. (2010). Facilitating the adoption of e-payment systems: Theoretical constructs and empirical analysis. Journal of Enterprise Information Management, 23(3), 305-325. doi:10.1108/17410391011036085
- Ozturk, A. B. (2016). Customer acceptance of cashless payment systems in the hospitality industry. International Journal of Contemporary Hospitality Management, 28(4), 801-817. doi:10.1108/IJCHM-02-2015-0073
- Ozturk, A. B., Bilgihan, A., Salehi-Esfahani, S., and Hua, N. (2017). Understanding the mobile payment technology acceptance based on valence theory: A case of restaurant transactions. International Journal of Contemporary Hospitality Management, 29(8), 2027-2049. doi:10.1108/IJCHM-04-2016-0192
- Peter, J. P., and Ryan, M. J. (1976). An investigation of perceived risk at the brand level. Journal of Marketing Research, 13(2), 184-188. doi:10.2307/3150856
- Pham, T. T. T., and Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159-172. doi:10.1016/j.techsoc.2015.05.004
- Phong, N. D., Khoi, N. H., and Nhat-Hanh Le, A. (2018). Factors affecting mobile shopping: A Vietnamese perspective. Journal of Asian Business and Economic Studies, 25(2), 186-205. doi:10.1108/jabes-05-2018-0012
- Phonthanukitithaworn, C., Sellitto, C., and Fong, M. W. L. (2016a). A comparative study of current and potential users of mobile payment services. SAGE Open, 6(4). doi:10.1177/2158244016675397
- Phonthanukitithaworn, C., Sellitto, C., and Fong, M. W. L. (2016b). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37-54. doi:10.1108/APJBA-10-2014-0119
- Schierz, P. G., Schilke, O., and Wirtz, B. W. (2010a). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216. doi:10.1016/j.elerap.2009.07.005
- Shemi, A. P., and Procter, C. (2018). E-commerce and entrepreneurship in SMEs: Case of myBot. Journal of Small Business and Enterprise Development, 25(3), 501-520. doi:10.1108/JSBED-03-2017-0088
- Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354. doi:10.1016/j.chb.2009.06.001
- Slade, E., Williams, M., Dwivedi, Y., and Piercy, N. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209-223. doi:10.1080/0965254X.2014.914075
- Tan, G. W. H., Ooi, K. B., Chong, S. C., and Hew, T. S. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31(2), 292-307. doi:10.1016/j.tele.2013.06.002
- Thakur, R., and Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369-392. doi:10.1108/IntR-12-2012-0244
- Tiago, O., Manoj, T., Goncalo, B., Campos, F., Oliveira, T., Thomas, M., Baptista, G., and Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology computers in human behavior. Computers in Human Behavior, 61(August), 404-414. doi:10.1016/j.chb.2016.03.030
- Vaeshney, U., and Vetter, R. (2002). Mobile commerce: Framework, applications and networking support. Mobile Network and Applications.
- Venkatesh, V., and Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. doi:10.1111/j.1540-5915.2008.00192.x
- Venkatesh, V., Thong, J. Y. L., and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
- Williams, M. D. (2018). Social commerce and the mobile platform: Payment and security perceptions of potential users. Computers in Human Behavior, June, 1-12. doi:10.1016/j.chb.2018.06.005
- Wu, J., Liu, L., and Huang, L. (2017). Consumer acceptance of mobile payment across time antecedents and moderating role of diffusion stages. Industrial Management and Data Systems, 117(8), 1761-1776. doi:10.1108/IMDS-08-2016-0312
- Xiao, Y., and Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93-112. doi:10.1177/0739456X17723971
- Yang, Q., Pang, C., Liu, L., Yen, D. C., and Michael Tarn, J. (2015). Exploring consumer perceived risk and trust for online payments: An empirical study in China's younger generation. Computers in Human Behavior, 50, 9-24. doi:10.1016/j.chb.2015.03.058
- Yang, S., Lu, Y., Gupta, S., Cao, Y., and 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. doi:10.1016/j.chb.2011.08.019
- Zhang, Y., Sun, J., Yang, Z., and Wang, Y. (2018) What makes people actually embrace or shun mobile payment: A cross-culture study. Mobile Information Systems, 2018, 7497545. doi:10.1155/2018/7497545