References
- Amoroso, D., & Lim, R. (2017). The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693–702. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2017.05.003
- Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and E-loyalty: A contingency framework. Psychology & Marketing, 20(2), 123–138. https://doi.org/https://doi.org/10.1002/mar.10063
- Anshari, M., Alas, Y., Hardaker, G., Jaidin, J. H., Smith, M., & Ahad, A. D. (2016). Smartphone habit and behavior in Brunei: Personalization, gender, and generation gap. Computers in Human Behavior, 64, 719–727. https://doi.org/https://doi.org/10.1016/j.chb.2016.07.063
- Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. https://doi.org/https://doi.org/10.1177/002224377701400320
- Ashraf, A. R., Thongpapanl, N., & Auh, S. (2014). The application of the technology acceptance model under different cultural contexts: The case of online shopping adoption. Journal of International Marketing, 22(3), 68–93. https://doi.org/https://doi.org/10.1509/jim.14.0065
- Ashraf, A. R., Thongpapanl, N., Menguc, B., & Northey, G. (2017). The role of m-commerce readiness in emerging and developed markets. Journal of International Marketing, 25(2), 25–51. https://doi.org/https://doi.org/10.1509/jim.16.0033
- Berg-Schlosser, D., & De Meur, G. (1997). Reduction of complexity for a small-N analysis: A stepwise multi–methodological approach. Comparative Social Research, 16, 133–162. https://doi.org/http://dx.doi.org/10.4135/9781446261064
- Bhatnagar, A., & Papatla, P. (2019). Do habits influence the types of information that smartphone shoppers seek? Journal of Business Research, 94, 89–98. https://doi.org/https://doi.org/10.1016/j.jbusres.2018.09.012
- Brenes, E. R., Ciravegna, L., & Woodside, A. G. (2017). Constructing useful models of firms’ heterogeneities in implemented strategies and performance outcomes. Industrial Marketing Management, 62, 17–35. https://doi.org/https://doi.org/10.1016/j.indmarman.2016.12.001
- Chiu, C.-M., Hsu, M.-H., Lai, H., & Chang, C.-M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835–845. https://doi.org/https://doi.org/10.1016/j.dss.2012.05.021
- Chou, S.-W., & Hsu, C.-S. (2016). Understanding online repurchase intention: Social exchange theory and shopping habit. Information Systems and e-Business Management, 14(1), 19–45. https://doi.org/https://doi.org/10.1007/s10257-015-0272-9
- Fuentes, C., & Svingstedt, A. (2017). Mobile phones and the practice of shopping: A study of how young adults use smartphones to shop. Journal of Retailing and Consumer Services, 38, 137–146. https://doi.org/https://doi.org/10.1016/j.jretconser.2017.06.002
- Groß, M. (2015). Exploring the acceptance of technology for mobile shopping: An empirical investigation among smartphone users. The International Review of Retail, Distribution and Consumer Research, 25(3), 215–235. https://doi.org/https://doi.org/10.1080/09593969.2014.988280
- Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/https://doi.org/10.2753/MTP1069-6679190202
- Hofstede, G. (2013). Uncertainty avoidance and indulgence. Retrieved January 10, 2021, from www.geert-hofstede.com
- Hsu, M.-H., Chang, C.-M., & Chuang, L.-W. (2015). Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan. International Journal of Information Management, 35(1), 45–56. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2014.09.002
- Hubert, M., Blut, M., Brock, C., Backhaus, C., & Eberhardt, T. (2017). Acceptance of smartphone-based mobile shopping: Mobile benefits, customer characteristics, perceived risks, and the impact of application context. Psychology & Marketing, 34(2), 175–194. https://doi.org/https://doi.org/10.1002/mar.20982
- Kim, B. (2012). The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents. Telecommunications Policy, 36(1), 69–81. https://doi.org/https://doi.org/10.1016/j.telpol.2011.11.011
- Kim, C., Li, W., & Kim, D. J. (2015). An empirical analysis of factors influencing M-shopping use. International Journal of Human-Computer Interaction, 31(12), 974–994. https://doi.org/https://doi.org/10.1080/10447318.2015.1085717
- Kim, M., Kim, J., Choi, J., & Trivedi, M. (2017). Mobile shopping through applications: Understanding application possession and mobile purchase. Journal of Interactive Marketing, 39, 55–68. https://doi.org/https://doi.org/10.1016/j.intmar.2017.02.001
- Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying post-adoption phenomena. Management Science, 51(5), 741–755. https://doi.org/https://doi.org/10.1287/mnsc.1040.0326
- Lai, I. K. W., & Hitchcock, M. (2017). Sources of satisfaction with luxury hotels for new, repeat, and frequent travelers: A PLS impact-asymmetry analysis. Tourism Management, 60, 107–129. https://doi.org/https://doi.org/10.1016/j.tourman.2016.11.011
- Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705–737. https://doi.org/https://doi.org/10.2307/25148817
- Lin, C., & Lekhawipat, W. (2014). Factors affecting online repurchase intention. Industrial Management & Data Systems, 114(4), 597–611. https://doi.org/https://doi.org/10.1108/IMDS-10-2013-0432
- Lin, F.-T., Wu, H.-Y., & Tran, T. N. N. (2014). Internet banking adoption in a developing country: An empirical study in Vietnam. Information Systems and e-Business Management, 13(2), 267–287. https://doi.org/https://doi.org/10.1007/s10257-014-0268-x
- Lu, J., Yu, C.-S., Liu, C., & Wei, J. (2017). Comparison of mobile shopping continuance intention between China and USA from an espoused cultural perspective. Computers in Human Behavior, 75, 130–146. https://doi.org/https://doi.org/10.1016/j.chb.2017.05.002
- MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542–555. https://doi.org/https://doi.org/10.1016/j.jretai.2012.08.001
- Marriott, H. R., Williams, M. D., & Dwivedi, Y. K. (2017). What do we know about consumer m-shopping behaviour? International Journal of Retail & Distribution Management, 45(6), 568–586. https://doi.org/https://doi.org/10.1108/IJRDM-09-2016-0164
- National Bureau of Statistics of China (2019). Wholesale and Retail Trades. http://www.stats.gov.cn/tjsj/ndsj/2019/indexeh.htm
- Omar, S., Mohsen, K., Tsimonis, G., Oozeerally, A., & Hsu, J.-H. (2021). M-commerce: The nexus between mobile shopping service quality and loyalty. Journal of Retailing and Consumer Services, 60, 102468. https://doi.org/https://doi.org/10.1016/j.jretconser.2021.102468
- Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing. International Journal of Information Management, 58, 102310. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2021.102310
- Pookulangara, S., & Koesler, K. (2011). Cultural influence on consumers’ usage of social networks and its’ impact on online purchase intentions. Journal of Retailing & Consumer Services, 18(4), 348–354. https://doi.org/https://doi.org/10.1016/j.jretconser.2011.03.003
- Ragin, C. C. (2008). Redesigning social inquire: Fuzzy sets and beyond. University of Chicago Press.
- Ren, L., Qiu, H., Wang, P., & Lin, P. M. (2016). Exploring customer experience with budget hotels: Dimensionality and satisfaction. International Journal of Hospitality Management, 52, 13–23. https://doi.org/https://doi.org/10.1016/j.ijhm.2015.09.009
- Shang, D., & Wu, W. (2017). Understanding mobile shopping consumers’ continuance intention. Industrial Management & Data Systems, 117(1), 213–227. https://doi.org/https://doi.org/10.1108/IMDS-02-2016-0052
- Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, H., Holland, S., & Morrissey, S. (2016). Mobile shopper marketing: Key issues, current insights, and future research avenues. Journal of Interactive Marketing, 34, 37–48. https://doi.org/https://doi.org/10.1016/j.intmar.2016.03.002
- Statista Research Department. (2020a). Mobile shopping channels’ MAUs growth in China 2019, by category. https://www.statista.com/statistics/1124346/china-mobile-shopping-maus-growth-by-category/
- Statista Research Department. (2020b). Sales value of retail mobile e-commerce in Vietnam 2018-2022. https://www.statista.com/statistics/1088028/vietnam-retail-mobile-commerce-sales/
- Steenkamp, J.-B. E. M., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25(1), 78–107. https://doi.org/https://doi.org/10.1086/209528
- Trafimow, D., Hyman, M. R., Kostyk, A., Wang, C., & Wang, T. (2021). The harmful effect of null hypothesis significance testing on marketing research: An example. Journal of Business Research, 125, 39–44. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.11.069
- Venkatesh, V., Thong, J. Y. L., & 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/https://doi.org/10.2307/41410412
- Wang, R. J.-H., Malthouse, E. C., & Krishnamurthi, L. (2015). On the go: How mobile shopping affects customer purchase behavior. Journal of Retailing, 91(2), 217–234. https://doi.org/https://doi.org/10.1016/j.jretai.2015.01.002
- Wang, X., & Liu, Z. (2019). Online engagement in social media: A cross-cultural comparison. Computers in Human Behavior, 97, 137–150. https://doi.org/https://doi.org/10.1016/j.chb.2019.03.014
- Woodside, A. G. (2014). Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities. Journal of Business Research, 67(12), 2495–2503. https://doi.org/https://doi.org/10.1016/j.jbusres.2014.07.006
- Woodside, A. G. (2019). Accurate case-outcome modeling in economics, psychology, and marketing. Psychology & Marketing, 36(11), 1046–1061. https://doi.org/https://doi.org/10.1002/mar.21255
- Woodside, A. G., Nagy, G., & Megehee, C. M. (2018). Applying complexity theory: A primer for identifying and modeling firm anomalies. Journal of Innovation & Knowledge, 3(1), 9–25. https://doi.org/https://doi.org/10.1016/j.jik.2017.07.001
- Xu-Priour, D.-L., Truong, Y., & Klink, R. R. (2014). The effects of collectivism and polychronic time orientation on online social interaction and shopping behavior: A comparative study between China and France. Technological Forecasting & Social Change, 88, 265–275. https://doi.org/https://doi.org/10.1016/j.techfore.2014.07.010