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자기해석유형과 모바일 상품추천유형, 패션제품유형이 구매의도에 미치는 영향

The Effect of Self-Construal Type, Mobile Product Recommendation System Type and Fashion Product Type on Purchase Intention in Moblie Shopping Environment

  • 전태준 (성균관대학교, 의상학과) ;
  • 황선진 (성균관대학교, 의상학과) ;
  • 최동은 (상명대학교 STEM 디자인센터)
  • 투고 : 2021.08.03
  • 심사 : 2021.11.15
  • 발행 : 2021.11.30

초록

As the online shopping market grows, channels in the mobile shopping environment have become increasingly diverse as a wide variety of products are introduced every day. This study investigated the effects of the self-construal type, mobile product recommendation system type, and fashion product type on purchase intention. The experimental design of this study was a 2 (self-construal type: independent vs. interdependent) × 2 (product recommendation system: bestseller vs. content-based) × 2 (fashion product type: utilitarian vs. hedonic) 3-way mixed ANOVA. Women (n = 387) in their 20 to 30s residing in Seoul and the Gyeonggi area participated in the study. The data were analyzed with the SPSS 24 program and 3-way ANOVA and simple main effects analyses were conducted. The results were as follows. First, self-construal, product recommendation, and fashion product types had a statistically significant impact on purchase intention. Second, fashion product and consumers' self-construal types had significant interaction effects on purchase intention. Finally, product recommendation and fashion product and self-construal types showed significant 3-way interaction effects on purchase intention. The study confirmed an interaction between the self-construal, type of product recommendation system, and the type of fashion product used in influencing purchase intention.

키워드

참고문헌

  1. Aaker, J. L., & Lee, A. Y. (2001). 'I' seek pleasures and 'we' avoid pains: The role of self-regulatory goals in information processing and persuasion. Journal of Consumer Research, 28(1), 33-49. doi: 10.1086/321946
  2. An, E. M., & Lee, B. K. (2011). The effects of ad repetition and self-construal on ad creativity perception and attitude toward the ad. Advertising Research, 1(91), 123-152.
  3. Bae, J. Y. (2004). A study of the recommendation system for online shopping malls considering products recency (Unpublished master's thesis). Kyunghee University, Seoul, Korea.
  4. Chang, C. (2009). Enhancing the effectiveness of antismoking messages via self- congruentappeals. Health communication, 24(1), 33-40. doi: 10.1080/10410230802606976
  5. Choi, H. J., & Cho, C. H. (2020). A consumer perception based on the type of recommender system: A privacy calculus perspective. Journal of The Korea Contents Association, 20(3), 254-266. doi: 10.5392/JKCA.2020.20.03.254
  6. Chun, M. S., Lee, S. G., & Koh, A. R. (2006). The effect of cultural tendency on clothing consumption behavior. The Korean Journal of Consumer and Advertising Psychology, 7(2), 277-300.
  7. Dhar, R., & Wertenbroch, K. (2000). Consumer choice between hedonic and utilitarian goods. Journal of Marketing Research, 37(1), 60-71. doi: 10.1509/jmkr.37.1.60.18718
  8. Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: emerging concepts, methods and propositions. Journal of Marketing, 46, 92-101. doi: 10.1177/002224298204600314
  9. Jun, S. Y., Mazumdar, T. & Raj, S. P. (1999). Effects of technological hierarchy on brand extension evaluations. Journal of Business Research, 46(1), 31-43. doi: 10.1016/S0148-2963(98)00025-3
  10. Kang, J. M., Jeong, N. H., & Park, S. S. (2021). How does congruence between self-construal and recommendation message affect product evaluation?: The moderating role of product conspicuousness. Journal of Channel and Retailing, 26(1), 73-95. doi: 10.17657/jcr.2021.01.31.4
  11. KDI. (2020, November 18), 코로나19로 인한 전자상거래 이용행태 변화 분석 [Analysis of changes in e-commerce usage behavior due to COVID-19]. Retrieved July 10, 2021, from https://www.kisdi.re.kr/report/view.do?key=m2101113025790&arrMasterId=4333447&masterId=4333447&artId=554259
  12. Kim, B. G. (2004). Personalized recommender system using genetic algorithms (Unpublished master's thesis). Dongguk University, Seoul, Korea.
  13. Kim, H. J., Lee, J. S., Song, Y. U., & Kim, S. K. (2020). The effects of mobile shopping mall attributes on consumer loyalty: Consumers' experience with O2O Service as a moderating variable. Journal of Information Technology Applications & Management, 27(3), 77-92. doi: 10.21219/jitam.2020.27.3.077
  14. KOSTAT. (2021, Feburary 3). 2020년 12월 및 연간 온라인쇼핑 동향 [Dec 2020 and annual report of online shopping trends]. Retrieved July 10, 2021, from https://www.kostat.go.kr/portal/korea/kor_nw/1/1/index.board?bmode=read&aSeq=388013
  15. Kwon, D. H. (2011). 사회과학연구를 위한 통계학 [Statistics for social sciences research]. Seoul; Hakjisa.
  16. Lee, D, A., & Hwang, S. J. (2017). Effects of types of endorser and fashion goods, fashion involvement on preference of advertising. Journal of the Korean Society of Beauty and Art, 18(1), 173-187. doi: 10.18693/jksba.2017.18.1.173
  17. Lee. J. S., & Sung, D. K. (2018). Examining factors influencing the intention to use mobile payment: Focusing on self-construal. Journal of Digital Convergence, 16(4), 137-147. doi: 10.14400/JDC.2018.16.4.137
  18. Lee, K. E., Park, J. T., & Na, W. B. (2014). The effects of bundle price framing on consumers' purchase intention of bundle component: Based on product type and time-Pressure. Journal of Marketing Management Research, 22(1), 93-114.
  19. Maeng, J. H. (2018). User cognitive experiences depending on contents characteristics of personalized recommendation service on mobile commerce: Focusing on mediating effect of choice overload and moderating role of self-construal (Unpublished master's thesis). Sogang University, Seoul, Korea.
  20. Mano, H., & Oliver, R. L. (1993). Assessing the dimensionality and structure of the consumption experience: evaluation, feeling, and satisfaction. Journal of Consumer Research, 20(3), 451-466. doi: 10.1086/209361
  21. Markus, H., & Kitayama, S. (1991). Culture and the self: Implication for cognition, emotion, and motivation. Psychological Review, 98(2), 224-253. doi: 10.1037/0033-295X.98.2.224
  22. Moon, J. H. (2014). Effects of the direction of online reviews on information reliability and product attitude: Base on the moderating role of shopping experience and product type. Management & Information Systems Review, 33(4), 49-62. doi: 10.29214/damis.2014.33.4.004
  23. Moon, S. B., & Byun, C. J. (1999). 사회과학 연구를 위한 실험설계 분석의 이해와 활용[Understanding and using experimental design analysis for social science research]. Seoul; Hakjisa.
  24. Park, B. J., & Choi, S. H. (2018). User evaluation, usage intention and purchase intention according to recommendation services in online fashion shopping mall. Journal of Korea Design Forum, 23(4), 139-149. doi: 10.21326/ksdt.2018.23.4.012
  25. Park, E. A., & Kim, J. H. (2010). Effects of the consumer's self-construal and product innovation on purchase intention and satisfaction. The Korean Journal of Consumer and Advertising Psychology, 11(4), 637-659. doi: 10.21074/kjlcap.2010.11.4.637
  26. Park, J. C., & Ryu, G. S. (2012). The influence of temporal construal and self-construal on consideration set formation. Journal of Consumer Studies, 23(1), 29-53.
  27. Park, J. E. (2016). Personalized experience, preference based recommender system; User perceived value-based recommender system properties and website loyalty (Unpublished master's thesis). Yonsei University, Seoul, Korea.
  28. Park, Y. J. (2016). An analysis of customer preferences of recommendation techniques and influencing factors: A comparative study of electronic goods and apparel products. Information Systems Review, 18(2), 59-77. doi: 10.14329/isr.2016.18.2.059
  29. Ruth, J. P. S (2020, January 20). What retail can build on and get from cloud in 2020. Informationweek. Retrieved July 25, 2021, from https://www.informationweek.com/cloud/what-retail-can-build-on-and-get-from-cloud-in-2020/a/d-id/1336836
  30. Singelis, T. M., Bond, M, H., Sharkey, W. F., & Lai, S. Y. (1999). Unpackaging culture's influence on self-esteem and embarrassability: The Role of self-const ruals. Journal of Cross-Cultural Psychology, 30(3), 315-341. doi: 10.1177/00220 22199030003003
  31. Snyder, M. (1987). Public appearances, private realities: The psychology of self-monitoring. New York: W.H. Freeman & Company.
  32. Strahilevitz, M., & Myers, J. G. (1998). Donations to charity as purchase incentives: How well they work may depend on what you are trying to sell, Journal of Consumer Research, 24(4), 434-446. doi: 10.1086/209519
  33. Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of Marketing Research, 40(3), 310-320. doi: 10.1509/jmkr.40.3.310.19238
  34. Wang, Y. Y., Luse, A., Townsen, A. A., & Mennecke, B. E. (2015). Understanding the moderating roles of types of recommender systems and products on customer behavioral intention to use recommender systems. Information Systems and e-Business Management, 13(4), 769-799. doi: 10.1007/s10257-014-0269-9
  35. Yang, Y., & Kim, M. J. (2010). The effects of self-construal, focused emotion, and the context in the advertisement on antismoking public service advertising attitude. The Korean Journal Of Advertising, 21(2), 245-270.
  36. Yoo, S. Y. (2018). Fashion social influencer and interaction effects with product attributes (Unpublished master's thesis). Hanyang University, Seoul, Korea.
  37. Yun, S. W. (2019). The effect of interfaces, message appeal type and need for touch on product preferences in online shopping (Unpublished master's thesis). Ewha Womans University, Seoul, Korea.
  38. Zhang, Y. & Gelb, B. D. (1996). Matching advertising appeals to culture: The influence of products' use conditions, Journal of Advertising, 25(3), 29-46. doi: 10.1080/00913367.1996.10673505