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Habitual mobile shopping behavior in China and Vietnam—applying complexity theory via fsQCA

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초록

Mobile shoppers’ purchase intention is affected not only by pro- ducts or the shopping environment but also by shopping applica- tion (app) features. In this study, we adopted complexity theory to explore how the use of shopping apps is affected by complex causal factors including user demographics, shopping situations, and con- scious or unconscious attitudes and behaviors. We conducted a cross-cultural survey of 425 Vietnamese and 469 Chinese mobile shoppers. A fuzzy-set qualitative comparative analysis was used to examine the relationship between antecedents and outcomes depending on complex conditions in the given contexts. The results showed that the continuous usage intention of a shopping app is not influenced by one factor alone but by complex conditions including a shopper’s satisfaction and habitual activities via two particular features of a shopping app. This study offers multiple ways to enhance continued usage by targeting various users via habitual activities based on their cultural values, demographics, and shopping situations.

Abstract

Mobile shoppers’ purchase intention is affected not only by pro- ducts or the shopping environment but also by shopping applica- tion (app) features. In this study, we adopted complexity theory to explore how the use of shopping apps is affected by complex causal factors including user demographics, shopping situations, and con- scious or unconscious attitudes and behaviors. We conducted a cross-cultural survey of 425 Vietnamese and 469 Chinese mobile shoppers. A fuzzy-set qualitative comparative analysis was used to examine the relationship between antecedents and outcomes depending on complex conditions in the given contexts. The results showed that the continuous usage intention of a shopping app is not influenced by one factor alone but by complex conditions including a shopper’s satisfaction and habitual activities via two particular features of a shopping app. This study offers multiple ways to enhance continued usage by targeting various users via habitual activities based on their cultural values, demographics, and shopping situations.

참고문헌 (47)

  1. Amoroso, D., "The mediating effects of habit on continuance intention", International Journal of Information Management, 37(6), pp.693~702 (2017)[DOI]
  2. Anderson, R. E., "E-satisfaction and E-loyalty : A contingency framework", Psychology & Marketing, 20(2), pp.123~138 (2003)[DOI]
  3. Anshari, M., "Smartphone habit and behavior in Brunei : Personalization, gender, and generation gap", Computers in Human Behavior, 64, pp.719~727 (2016)[DOI]
  4. Armstrong, J. S., "Estimating nonresponse bias in mail surveys", Journal of Marketing Research, 14(3), pp.396~402 (1977)[DOI]
  5. Ashraf, A. R., "The application of the technology acceptance model under different cultural contexts : The case of online shopping adoption", Journal of International Marketing, 22(3), pp.68~93 (2014)[DOI]
  6. Ashraf, A. R., "The role of m-commerce readiness in emerging and developed markets", Journal of International Marketing, 25(2), pp.25~51 (2017)[DOI]
  7. Berg-Schlosser, D., "Reduction of complexity for a small-N analysis : A stepwise multi–methodological approach", Comparative Social Research, 16, pp.133~162 (1997)[DOI]
  8. Amit Bhatnagar, "Do habits influence the types of information that smartphone shoppers seek?", Journal of Business Research, 94, pp.89~98 (2019), Elsevier BV[DOI]
  9. Brenes, E. R., "Constructing useful models of firms’ heterogeneities in implemented strategies and performance outcomes", Industrial Marketing Management, 62, pp.17~35 (2017)[DOI]
  10. Chiu, C. -M., "Re-examining the influence of trust on online repeat purchase intention : The moderating role of habit and its antecedents", Decision Support Systems, 53(4), pp.835~845 (2012)[DOI]
  11. Chou, S. -W., "Understanding online repurchase intention : Social exchange theory and shopping habit", Information Systems and e-Business Management, 14(1), pp.19~45 (2016)[DOI]
  12. Fuentes, C., "Mobile phones and the practice of shopping : A study of how young adults use smartphones to shop", Journal of Retailing and Consumer Services, 38, pp.137~146 (2017)[DOI]
  13. Michael Groß, "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), pp.215~235 (2014), Informa UK Limited[DOI]
  14. Hair, J. F., "PLS-SEM : Indeed a silver bullet", Journal of Marketing Theory and Practice, 19(2), pp.139~152 (2011)[DOI]
  15. Hsu, M. -H., "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), pp.45~56 (2015)[DOI]
  16. Hubert, M., "Acceptance of smartphone-based mobile shopping : Mobile benefits, customer characteristics, perceived risks, and the impact of application context", Psychology & Marketing, 34(2), pp.175~194 (2017)[DOI]
  17. Kim, B., "The diffusion of mobile data services and applications : Exploring the role of habit and its antecedents", Telecommunications Policy, 36(1), pp.69~81 (2012)[DOI]
  18. Kim, C., "An empirical analysis of factors influencing M-shopping use", International Journal of Human-Computer Interaction, 31(12), pp.974~994 (2015)[DOI]
  19. Kim, M., "Mobile shopping through applications : Understanding application possession and mobile purchase", Journal of Interactive Marketing, 39, pp.55~68 (2017)[DOI]
  20. Kim, S. S., "A longitudinal model of continued IS use : An integrative view of four mechanisms underlying post-adoption phenomena", Management Science, 51(5), pp.741~755 (2005)[DOI]
  21. Lai, I. K. W., "Sources of satisfaction with luxury hotels for new, repeat, and frequent travelers : A PLS impact-asymmetry analysis", Tourism Management, 60, pp.107~129 (2017)[DOI]
  22. Limayem, M., "How habit limits the predictive power of intention : The case of information systems continuance", MIS Quarterly, 31(4), pp.705~737 (2007)[DOI]
  23. Lin, C., "Factors affecting online repurchase intention", Industrial Management & Data Systems, 114(4), pp.597~611 (2014)[DOI]
  24. Lin, F. -T., "Internet banking adoption in a developing country : An empirical study in Vietnam", Information Systems and e-Business Management, 13(2), pp.267~287 (2014)[DOI]
  25. Lu, J., "Comparison of mobile shopping continuance intention between China and USA from an espoused cultural perspective", Computers in Human Behavior, 75, pp.130~146 (2017)[DOI]
  26. MacKenzie, S. B., "Common method bias in marketing : Causes, mechanisms, and procedural remedies", Journal of Retailing, 88(4), pp.542~555 (2012)[DOI]
  27. Hannah R. Marriott, "What do we know about consumer m-shopping behaviour?", International Journal of Retail & Distribution Management, 45(6), pp.568~586 (2017), Emerald[DOI]
  28. "Wholesale and Retail Trades" (2019)[URL]
  29. Omar, S., "M-commerce : The nexus between mobile shopping service quality and loyalty", Journal of Retailing and Consumer Services, 60, pp.102468~ (2021)[DOI]
  30. Pappas, I. O., "Fuzzy-set Qualitative Comparative Analysis(fsQCA) : Guidelines for research practice in Information Systems and marketing", International Journal of Information Management, 58, pp.102310~ (2021)[DOI]
  31. Pookulangara, S., "Cultural influence on consumers’ usage of social networks and its’ impact on online purchase intentions", Journal of Retailing & Consumer Services, 18(4), pp.348~354 (2011)[DOI]
  32. Ragin, C. C., "Redesigning social inquire: Fuzzy sets and beyond" (2008), University of Chicago Press
  33. Ren, L., "Exploring customer experience with budget hotels : Dimensionality and satisfaction", International Journal of Hospitality Management, 52, pp.13~23 (2016)[DOI]
  34. Shang, D., "Understanding mobile shopping consumers’ continuance intention", Industrial Management & Data Systems, 117(1), pp.213~227 (2017)[DOI]
  35. Shankar, V., "Mobile shopper marketing : Key issues, current insights, and future research avenues", Journal of Interactive Marketing, 34, pp.37~48 (2016)[DOI]
  36. "Mobile shopping channels’ MAUs growth in China 2019, by category" (2020)[URL]
  37. "Sales value of retail mobile e-commerce in Vietnam 2018-2022" (2020)[URL]
  38. Steenkamp, J. -B. E. M., "Assessing measurement invariance in cross-national consumer research", Journal of Consumer Research, 25(1), pp.78~107 (1998)[DOI]
  39. Trafimow, D., "The harmful effect of null hypothesis significance testing on marketing research : An example", Journal of Business Research, 125, pp.39~44 (2021)[DOI]
  40. Venkatesh, V., "Consumer acceptance and use of information technology : Extending the unified theory of acceptance and use of technology", MIS Quarterly, 36(1), pp.157~178 (2012)[DOI]
  41. Wang, R. J. -H., "On the go : How mobile shopping affects customer purchase behavior", Journal of Retailing, 91(2), pp.217~234 (2015)[DOI]
  42. Wang, X., "Online engagement in social media : A cross-cultural comparison", Computers in Human Behavior, 97, pp.137~150 (2019)[DOI]
  43. Woodside, A. G., "Embrace•perform•model : Complexity theory, contrarian case analysis, and multiple realities", Journal of Business Research, 67(12), pp.2495~2503 (2014)[DOI]
  44. Woodside, A. G., "Accurate case-outcome modeling in economics, psychology, and marketing", Psychology & Marketing, 36(11), pp.1046~1061 (2019)[DOI]
  45. Woodside, A. G., "Applying complexity theory : A primer for identifying and modeling firm anomalies", Journal of Innovation & Knowledge, 3(1), pp.9~25 (2018)[DOI]
  46. Xu-Priour, D. -L., "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, pp.265~275 (2014)[DOI]

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