Journal of the Korean Society of Clothing and Textiles (한국의류학회지)

The Korean Society of Clothing and Textiles (한국의류학회)
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Perceived Usefulness and Risks and Behavioral Intentions of Mobile Fashion Apps -Focus Group Interviews with Chinese Students Studying in Korea-

모바일 패션 앱의 지각된 유용성과 위험 및 행동의도 -중국인 유학생 초점집단 면접 조사-

  • Hong, Heesook (Dept. of Fashion and Textiles, Jeju National University) ;
  • Sun, Yu (Dept. of Textiles, Merchandising and Fashion Design, Seoul National University) ;
  • Lee, Seung-Eun (Dept. of Fashion, Interior Design and Merchandising, Central Michigan University)
  • Received : 2019.10.18
  • Accepted : 2019.12.26
  • Published : 2020.04.30
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Abstract

This exploratory study investigated Chinese consumers' perceived usefulness and risks of fashion apps and identified reasons for continuance and discontinuance intentions. This study conducted focus group interviews with a convenience sample of 13 Chinese students majoring in fashion in Korea. Based on interviewee responses, this study identified five attributes leading the perceived usefulness of mobile fashion apps (ubiquity and convenience, multi-media information, personalization, interactivity between consumers, and immediateness) and sub elements related to the five attributes. Five types of perceived risk (privacy risk, security risk, product risk, loss of future opportunity, and time risk) were identified in relation to Chinese consumers' use of fashion apps. The important role of live streaming services was uniquely identified by Chinese fashion app users. Usefulness of location-based information provided by mobile fashion apps were differently perceived according to respondents' use purpose, and augmented reality services provided by the apps were related to entertainment rather than usefulness. This study provides meaningful insights into Chinese consumers' perceptions of fashion apps and important app attributes that influence their continuance and discontinuance intentions. The findings from this study lend preliminary implications for future researchers and fashion businesses interested in the Chinese app market.

Keywords

References

  1. Ao, M. (2018, March 20). China's app store market is fragmented, but business is still booming. AppLovin. Retrieved from https://blog.applovin.com/china-android-app-store-fragmentation/
  2. Asia Distribution and Retail. (2018, August). Understanding Chinese millennial's apparel shopping behavior and attitudes - Survey findings. Fung Business Intelligence. Retrieved from https://www.fbicgroup.com/sites/default/files/ChineseMillennial_2018.pdf
  3. Assarut, R., & Eiamkanchanalai, S. (2015). Consumption values, personal characteristics and behavioral intentions in mobile shopping adoption. Market-Trziste, 27(1), 21-41.
  4. Bauer, R. A. (1960). Consumer behavior as risk taking. In R. S. Hancock (Ed.), Dynamic marketing for a changing world (pp. 389-398). Chicago, IL: American Marketing Association.
  5. Bernard, Z. (2018, August 24). 'It's a recipe for dominance that should drive fear into Silicon Valley': Here's why experts say China has an edge over the US when it comes to making money from smartphone users. Business Insider. Retrieved from https://www.businessinsider.com/why-china-mobile-appsmarket-is-ahead-of-us-experts-2018-8
  6. Biggs, C., Chande, A., Matthews, E., Mercier, P., Wang, A., & Zou, L. (2017, May 4). What China reveals about the future of shopping. BCG. Retried from https://www.bcg.com/publications/2017/retail-globalization-china-reveals-future-shopping.aspx
  7. Borak, M. (2018, January 31). Data shows 2017 was the year of e-commerce apps: report. TechNode. Retrieved from https://technode.com/2018/01/31/2017-e-commerce-apps/
  8. Bowerman, K., & DeLorme, D. E. (2014). Boaters' perceptions of a mobile app for a marine conservation social marketing campaign. Social Marketing Quarterly, 20(1), 47-65. doi:10.1177/1524500413515448
  9. Chang, A. (2019, October 10). The ultimate guide to succeeding in the Chinese app market. AppInChina. Retrieved from https://www.appinchina.co/blog/the-ultimate-guide-to-succeeding-in-the-chinese-app-market/
  10. China was the largest app market in the world for time spent in apps in 2017. (2018, February 5). App Annie. Retrieved from https://www.appannie.com/en/insights/market-data/china-app-economy-2017/
  11. Choi, G., & Lee, S. (2012). A study on information-seeking benefits of fashion applications of users and their effects on loyalty and satisfaction - Focused on iPhone fashion applications -. Journal of Fashion Business, 16(2), 27-43. doi:10.12940/jfb.2012.16.2.027
  12. Choi, Y., & Kim, M. (2011). An analysis of the fashion brand application. Journal of Fashion Business, 15(5), 129-143. doi: 10.12940/jfb.2011.15.5.129
  13. Choi, Y.-j., & Lee, M.-a. (2016). Effects of characteristics of social commerce on purchase intention-Moderating effects of perceived risk and price sensitivity of mobile application users-. Journal of the Korean Society of Clothing and Textiles, 40(3), 574-589. doi:10.5850/JKSCT.2016.40.3.574
  14. Chopdar, P. K., Korfiatis, N., Sivakumar, V. J., & Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 86, 109-128. doi:10.1016/j.chb.2018.04.017
  15. Clement, J. (2019, August 30). Countries with the highest number of mobile app downloads from 2016 to 2018. Statista. Retrieved from https://www.statista.com/statistics/249264/countries-ranked-by-number-of-holiday-app-downloads/
  16. Cox, D. F., & Rich, S. U. (1964). Perceived risk and consumer decision-making: The case of telephone shopping. Journal of Marketing Research, 1(4), 32-39. doi:10.2307/3150375
  17. CIW Team. (2018, July 5). How many mobile apps in China? Over 4 million.... China Internet Watch. Retrieved from https://www.chinainternetwatch.com/25530/mobile-apps-apr-2018/
  18. Davis, F. D., Bagozzi, R. P., & 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
  19. Dholakia, U. M. (2001). A motivational process model of product involvement and consumer risk perception. European Journal of Marketing, 35(11/12), 1340-1362. doi:10.1108/EUM0000000006479
  20. Featherman, M. S., & 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
  21. Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867-875. doi:10.1016/S0148-2963(01)00273-9
  22. Gonzalez Romo, Z. F., Contreras-Espinosa, R., & Medina, I. G. (2016). Branded apps in Spain as a means of communicating trends in fashion. International Journal of Interactive Mobile Technologies, 10(2), 58-63. doi:10.3991/ijim.v10i2.5558
  23. Heo, Y. J., Bae, Y. Y., Gang, J. H., U, S. H., Han, S. J., & Kim, E. Y. (2016). Effects of search motives and content usage of mobile fashion applications on purchase intentions. Journal of Human Ecology, 20(1), 97-106.
  24. Hofstede, G. (2001). Culture's consequences: Comparing values, behaviors, institutions, and organizations across nations (2nd ed.). Thousand Oaks, CA: Sage Publications.
  25. Hong, S., Li, B., & Kim, B. (2016). Consumer purchase decision in a mobile shopping mall: An integrative view of trust and theory of planned behavior. Information Systems Review, 18(2), 151-171. doi:10.14329/isr.2016.18.2.151
  26. 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. doi:10.1002/mar.20982
  27. Jang, N. K. (2012). The use of application as a mobile fashion tool. Journal of the Korean Society of Fashion Design, 12(4), 29-43.
  28. Jang, S.-H. (2011). A study on the process of advertising acceptance and the advertising strategies of fashion brand applications according to the characteristics of smartphone users (Unpublished doctoral dissertation). Sookmyung Women's University, Seoul.
  29. Ju, N.-a., Lee, D., Jeon, H. M., & Lee, K.-H. (2013). An exploratory analysis and usability evaluation of fashion mobile applications - Focus on Korea and U.S. App stores -. The Research Journal of the Costume Culture, 21(2), 287-300. doi:10.7741/rjcc.2013.21.2.287
  30. Jung, S. R. (2017, June 9). 중국인이 가장 많이 사용하는 모바일 앱 TOP 20 [Top 20 mobile apps most used by Chinese people]. Platum. Retried from https://platum.kr/archives/82534
  31. Kang, D., Kim, J., & Lee, K.-M. (2017). Implementation of userspecific virtual coordinator apps. Journal of Digital Contents Society, 18(5), 821-829. doi:10.9728/dcs.2017.18.5.821
  32. Kannan, P. K., Chang, A.-M., & Whinston, A. B. (2001). Wireless commerce: marketing issues and possibilities. Proceedings of the 34th Annual Hawaii International Conference on System Sciences, USA. doi:10.1109/HICSS.2001.927209
  33. Kho, j.-m., & Lee, j.-h. (2015). Information architecture design for fashion coordination app based on the men's needs of fashion information. Journal of Korea Design Forum, 47, 17-30. doi:10.21326/ksdt.2015..47.002
  34. Kim, S. (2010). A study on the mobile application of fashion brands. Journal of Fashion Business, 14(6), 134-145.
  35. Kim, S.-Y. (2011). A study on model of fashion application, 'Style By Me' (Unpublished doctoral dissertation). Sungshin Women's University, Seoul.
  36. Kim, Y. (2016). A study on development of application focused personalized fashion coordination (Unpublished master's thesis). Kookmin University, Seoul.
  37. Kim, Y.-C. (2011). A study on effect of mobile properties, IT properties and involvement on satisfaction of smartphone application: Focused on fashion application. The e-Business Studies, 12(2), 49-77. doi:10.15719/geba.12.2.201106.49
  38. Lee, M.-J., & Lee, K.-H. (2013). Mobile shopping motives and fashion application acceptance. The Journal of Digital Policy & Management, 11(1), 153-163. doi:10.14400/JDPM.2013.11.1.153
  39. Lee, T. Y. (2011, May 25). 모바일 마케팅의 차별화 포인트 [Differentiation point of mobile marketing]. LG Business Insight. Retrieved from http://www.lgeri.com/uploadFiles/ko/pdf/man/LGBI1146-26_20110523091835.pdf
  40. Marriott, H. R., & Williams, M. D. (2018). Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study. Journal of Retailing and Consumer Services, 42, 133-146. doi:10.1016/j.jretconser.2018.01.017
  41. Nayebi, M., Farrahi, H., & Ruhe, G. (2016). Analysis of marketed versus not-marketed mobile app releases. Proceedings of the 4th International Workshop on Release Engineering (RELENG 2016), USA, 1-4. doi:10.1145/2993274.2993281
  42. Park, M.-A., & Ko, H.-Z. (2014). The analysis of the characteristic types of fashion brand application - Concentration on Korean application cases -. Journal of the Korean Society of Costume, 64(1), 136-151. doi:10.7233/jksc.2014.64.1.136
  43. Parker, C. J., & Wang, H. (2016). Examining hedonic and utilitarian motivations for m-commerce fashion retail app engagement. Journal of Fashion Marketing and Management, 20(4), 487-506. doi:10.1108/jfmm-02-2016-0015
  44. Peppers, D., & Rogers, M. (1993) The one to one future: Building relationships one customer at a time. New York, NY: Doubleday.
  45. Peter, J. P., & 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
  46. Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of Marketing, 35(1), 56-61. doi:0.2307/1250565 https://doi.org/10.2307/1250565
  47. So, J. I., & Kim, S.-h. (2013). The effects of augmented reality fashion application on pleasure, satisfaction and behavioral intention. The Research Journal of the Costume Culture, 21(6), 810-826. doi:10.7741/rjcc.2013.21.6.810
  48. Sun, J., & Chi, T. (2018). Key factors influencing the adoption of apparel mobile commerce: an empirical study of Chinese consumers. The Journal of The Textile Institute, 109(6), 785-797. doi:10.1080/00405000.2017.1371828
  49. Sung, H. (2012). An exploratory study of smartphone fashion application to promote mobile shopping. Journal of the Korean Society for Clothing Industry, 14(6), 941-951. doi:10.5805/KSCI.2012.14.6.941
  50. Sung, H. (2013). A study on the determinants of attitude toward and intention to use mobile shopping through fashion apps-Comparisons of gender and age group differences-. Journal of the Korean Society of Clothing and Textiles, 37(7), 1000-1014. doi:10.5850/JKSCT.2013.37.7.1000
  51. Tseng, T. H., & Lee, C. T. (2018). Facilitation of consumer loyalty toward branded applications: The dual-route perspective. Telematics and Informatics, 35(5), 1297-1309. doi:10.1016/j.tele.2018.03.002
  52. Vesanen, J. (2007). What is personalization? A conceptual framework. European Journal of Marketing, 41(5/6), 409-418. doi: 10.1108/03090560710737534
  53. Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-729. doi: 10.1016/j.im.2004.07.001
  54. You, J. M., Kweon, S. A., & Kim, E. Y. (2015). Effect of clothing shopping orientation and perceived risks on repurchase intention in mobile shopping among girls' highschool students. Journal of Human Ecology, 19(2), 91-106.
  55. Zikmund, W. G., & Scott, J. E. (1977). An investigation of the role of product characteristics in risk perception. Review of Business and Economic Research, 13(1), 19-34.