DOI QR코드

DOI QR Code

Study on User Experience of Personalized Recommendation Systems of Fashion Vertical Platforms -The Regulation Effect of Self-Regulatory Focus-

패션 버티컬 플랫폼 개인화 추천시스템의 사용자 경험에 관한 연구 -자기조절초점의 조절효과-

  • Min-Ji Park (Dept. of Clothing & Textile, Kyungpook National University) ;
  • Hyun-Hee Park (Dept. of Fashion Design, Kyungpook National University) ;
  • Yang-Suk Ku (Dept. of Clothing & Textile, Kyungpook National University)
  • 박민지 (경북대학교 의류학과) ;
  • 박현희 (경북대학교 패션디자인전공) ;
  • 구양숙 (경북대학교 의류학과)
  • Received : 2023.05.02
  • Accepted : 2023.08.03
  • Published : 2023.08.31

Abstract

This study aims to validate the user experience associated with the personalized recommendation systems of fashion vertical platforms. The investigation focused on women aged 18 to 30 with prior experience using personalized fashion recommendation systems. The collected data were analyzed using SPSS 26.0 and AMOS 26.0, and the outcomes can be summarized as follows. Firstly, the diversity and usefulness of information quality exerted a positive effect on use satisfaction. Secondly, the affirmative impact of the reliability of system quality on user satisfaction was established, although stability was not confirmed. Thirdly, the study identified a favorable connection between ease-of-use of service quality and user satisfaction, while the influence of tangibles was unsubstantiated. Fourthly, the degree of self-reference was found to have a positive effect on user satisfaction. Fifthly, a constructive relationship emerged between user satisfaction and both continuous-use intention and recommendation intention. Lastly, there was a significant difference in the magnitude of the effect of ease-of-use on satisfaction according to self-regulatory focus. The findings of this study hold the potential to enhance the explanatory and predictive power of the field of consumer behavior within the novel shopping landscape of fashion vertical platforms.

Keywords

Acknowledgement

본 논문은 석사학위 논문의 일부임.

References

  1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694. https://doi.org/10.2307/3250951 
  2. Alrwashdeh, M., Jahmani, A., Ibrahim, B., & Aljuhmani, H. Y. (2020). Data to model the effects of perceived telecommunication service quality and value on the degree of user satisfaction and e-WOM among telecommunications users in North Cyprus. Data in Brief, 28, 104981. https://doi.org/10.1016/j.dib.2019.104981 
  3. Asiance Insight. (2021, March 24). Vertical platform for MZ generation-fashion. https://blog.asiance.com/2021/03/24/vertical-platform-for-mz-generation/
  4. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.  https://doi.org/10.1007/BF02723327
  5. Bodoff, D., & Ho, S. Y. (2015). Effectiveness of website personalization: Does the presence of personalized recommendations cannibalize sampling of other items? International Journal of Electronic Commerce, 20(2), 208-235. https://doi.org/10.1080/10864415.2016.1087821 
  6. Chandler, J. S. (1982). A multiple criteria approach for evaluating information systems. MIS Quarterly, 6(1), 61-74.  https://doi.org/10.2307/248755
  7. Choi, H.-J., & Cho, C.-H. (2020). A consumer perception based on the type of recommender system: A privacy calculus perspective. The Journal of the Korea Contents Association, 20(3), 254-266. https://doi.org/10.5392/JKCA.2020.20.03.254 
  8. Choi, J. W., & Kim, K. E. (2021, April 24). 이커머스 신흥강자... '패션 플랫폼이 뜬다' [An emerging e-commerce powerhouse ...'Fashion platform is coming up']. Money S. https://moneys.mt.co.kr/news/mwView.php?no=2021042313558046132&code=w0405 
  9. Choi, J. Y. (2022). Algorithm based fashion recommendation service: Consumer selection and attribute perception of product attributes [Unpublished master's thesis]. Hanyang University. 
  10. Choi, J., & Lee, H. J. (2012). An integrated perspective of user evaluating personalized recommender systems: Performance-driven or user-centric. The Journal of Society for e-Business Studies, 17(3), 85-103. https://doi.org/10.7838/jsebs.2012.17.3.085 
  11. Choi, M. Y. (2021). The effect of personalized product recommendation service of online fashion shopping mall on service use behaviors through cognitive attitude and emotional attachment. Fashion & Textile Research Journal, 23(5), 586-597. https://doi.org/10.5805/SFTI.2021.23.5.586 
  12. Chung, Y., & Zhang, W. (2020). Effects of service characteristics of a subscription-based OTT on user satisfaction and continuance intention: Evaluation by Netflix users. The Journal of the Korea Contents Association, 20(12), 123-135. 
  13. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information SystemsResearch, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60 
  14. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748 
  15. Escalas, J. E. (2007). Self-referencing and persuasion: Narrative transportation versus analytical elaboration. Journal of Consumer Research, 33(4), 421-429. https://doi.org/10.1086/510216 
  16. Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104 
  17. Haley. (2022, December 8). 커머스 플랫폼 빌더 '(주)브랜디'가 말하는 플랫폼 성장의 원동력, 'AI 추천 기술' - (주)브랜디 데이터최적화실장 최원조님 인터뷰 [Commercial platform builder 'Brandy Co., Ltd.'s driving force for platform growth, 'Al recommended technology' - interview Choi Won-Jo, head of Brandy data optimization office]. Upstage. https://www.upstage.ai/blog/business/customer-success-stories-brandi 
  18. Heo, M. S., & Cheon, M. J. (2007). An empirical study on the relationship of antecedents of flow, organizational commitment, knowledge sharing and job satisfaction. The Journal of Information Systems, 16(4), 1-31. 
  19. Herzenstein, M., Posavac, S. S., & Brakus, J. J. (2007). Adoption of new and really newproducts: The effects of self-regulation systems and risk salience. Journal of Marketing Research, 44(2), 251-260. https://doi.org/10.1509/jmkr.44.2.251 
  20. Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52(12), 1280-1300. https://doi.org/10.1037/0003-066X.52.12.1280 
  21. Higgins, E. T. (2002). How self-regulation creates distinct values: The case of promotion and prevention decision making. Journal of Consumer Psychology, 12(3), 177-191. https://doi.org/10.1207/S15327663JCP1203_01 
  22. Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior. John wiley. 
  23. Jannach, D., Zanker, M., Felfernig, A., & Friedrich, G. (2010). Recommender systems: An introduction. Cambridge University Press. 
  24. Jeon, S.-Y., & Ha, K.-S. (2010). Factors of the acceptance affecting the e-payment system: Focusing on service quality and social influence. Journal of the Korea Academia-Industrial Cooperation Society, 11(9), 3239-3248. http://dx.doi.org/10.5762/KAIS.2014.15.7.4122 
  25. Jeong, M., & Choi, J. (2023). Determinants of vertical platform loyalty. Journal of Product Research, 41(1), 15-20. http://dx.doi.org/10.36345/kacst.2023.41.1.003 
  26. Jo, H., Kim, S.-H., & Lee, S.-K. (2011). A study on the success factors of EDI information system: Focused on medical industry. Journal of the Korean Data & Information Science Society, 22(2), 323-333. 
  27. Jung, K. J. (2008). The effects of internet news contents quality characters on customer satisfaction [Unpublished master's thesis]. Seoul National University. 
  28. Jung, S. H. (2023, March 19). 무신사. 29CM에 몰리는 패션업체...'버티컬 플랫폼' 급성장 [Fashion companies that are flocking to Musinsa and 29CM...'vertical platform' grows rapidly]. The Financial News. https://www.fnnews.com/news/202303191818522192 
  29. Kalyanaraman, S., & Sundar, S. S. (2006). The psychological appeal of personalized content in web portals: Does customization affect attitudes and behavior? Journal of Communication, 56(1), 110-132.  https://doi.org/10.1111/j.1460-2466.2006.00006.x
  30. Kang, S. Y. (2021). User evaluation and purchase intention of personalized recommendation service by mobile fashion commerce purchase journey [Unpublished master's thesis]. Kookmin University. 
  31. Kim, D.-J. (2011). An empirical study on user satisfaction and the influencing factors for continuous usage of social network service [Unpublished doctoral dissertation]. Chung-Ang University. 
  32. Kim, H. S., Lee, J. H., & Lee, H. D. (2021). Development of personalized clothing recommendation service based on artificial intelligence. Smart Media Journal, 10(1), 116-123. 
  33. Kim, K. H. (2008). Relationship between store image evaluation, customer satisfaction, and repurchase intention according to the types of internet fashion shopping malls. Journal of the Korean Society for Clothing Industry, 10(1), 50-58. 
  34. Kim, M.-Y., & Yi, S. (2010). Expert judgments versus popular appeal of mobile games: A Korean mobile telecommunication company case. Entrue Journal of Information Technology, 9(2), 17-29. 
  35. Kim, S. H., & Park, H. S. (2020). Empirical study of determinants influencing intention to recommend contents based on information system success model. Knowledge Management Research, 21(4), 175-193. 
  36. Kim, S.-H., & Park, H.-S. (2011). The impact of service characteristics of smartphone application on perceived value, satisfaction and intention to recommend. Korean Business Education Review, 26(6), 121-142. 
  37. Kim, S.-N. (2018). An effect of quality factor of hospital information system on user satisfaction and business performance [Unpublished master's thesis]. Tongmyong University. 
  38. Kim, Y. (2012). A study on design and implementation of personalized information recommendation system based on Apriori algorithm. Journal of the Korean BIBLIA Society for Library and Information Science, 23(4), 283-308.  https://doi.org/10.14699/kbiblia.2012.23.4.283
  39. Kim, Y.-H., & Lee, S.-W. (2009). A study on email efficiency on recommendation system. Journal of the Korean Data And Information Science Society, 20(6), 1129-1143. 
  40. Kim, Y.-H., & Moon, B.-R. (2005). Optimization of multiple campaigns reflecting multiple recommendation issue. Journal of KIISE, 32(5), 335-345. 
  41. Lee, E. J., Lee, J.-H., Cho, M. H., Sung, Y. J., & Choi, S. M. (2018). The effect of innovativeness and self-regulatory focus on the use of internet of things. The Korean Journal of Consumer and Advertising Psychology, 19(1), 67-91. https://doi.org/10.21074/kjlcap.2018.19.1.67 
  42. Lee, E.-J. (2008). The effect of service quality on customer satisfaction and loyalty of sport product consumers in internet shopping mall [Unpublished master's thesis]. Kang-won National University. 
  43. Lee, H. J. (2017). A study on influence of fashion social curation commerce perceived value on satisfaction search intention and use intention [Unpublished master's thesis]. Ewha Womans University. 
  44. Lee, H.-S. (2014). A study on the retirement attitude and behavior according to the regulatory focus and contrual-level theory [Unpublished master's thesis]. Ewha Womans University. 
  45. Lee, H.-Y., & Jeong, O.-R. (2021). A personalized exercise recommendation system using dimension reduction algorithms. Journal of the Korea Society of Computer and Information, 26(6), 19-28. https://doi.org/10.9708/jksci.2021.26.06.019 
  46. Lee, J. (2020). A study on the factors influencing the intention of curation shopping: Focusing on the self-regulation focus. Journal of Communication Science, 20(1), 106-150. http://dx.doi.org/10.14696/jcs.2020.03.20.1.106 
  47. Lee, K.-A., & Kim, G.-Y. (2015). The effect of perceived value on user satisfaction of real estate brokerage mobile app. Journal of the Residential Environment Institute of Korea, 13(3), 281-298. 
  48. Lee, M. H., Park, K. T., & Sohn, Y. W. (2002). An empirical study on service quality of internet shopping mall. POSRI Business Review, 2(2), 174-200. 
  49. Lee, M., Lee, S. A., Jeong, M., & Oh, H. (2020). Quality of virtual reality and its impacts on behavioral intention. International Journal of Hospitality Management, 90, 102595. https://doi.org/10.1016/j.ijhm.2020.102595 
  50. Lee, S. K., & Jo, H. (2011). A study on the different success factors of the information system according to the user satisfaction. The Journal of Korean Institute of Information Technology, 9(4), 173-178. 
  51. Lee, Y. J. (2015). An empirical study for verifying e-portfolio system in a college education: Applying for IS success model [Unpublished doctoral dissertation]. Kongju National University. 
  52. Lee, Y. J. (2020). The effect of the recommendation quality of online video platforms on the satisfaction of the recommender system and loyalty. Journal of Marketing Studies, 28(4), 1-18. https://doi.org/10.22736/jms.28.4.01 
  53. Lee, Y. R. (2020). The effects of perceived quality in fashion chatbot product recommendation service on consumer responses [Unpublished master's thesis]. Ewha Womans University. 
  54. Lee, Y. K., & Lee, M. W. (2006). The role of satisfaction, trust, and commitment in the relationships between information quality of web sites and customer e-loyalty. Journal of Industrial Economics and Business, 19(6), 2367-2386. 
  55. Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854-864. https://doi.org/10.1037/0022-3514.83.4.854 
  56. 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. 
  57. Meyers-Levy, J., & Peracchio, L. A. (1996). Moderators of the impact of self-reference on persuasion. Journal of Consumer Research, 22(4), 408-423. https://doi.org/10.1086/209458 
  58. Mobileindex. (2022, July 20). 2022 상반기 랜드스케이프, 한국인이 가장 많이 사용하는 앱 [Landscape's most used app by Koreans in first half of 2022]. Mobileindex. https://www.mobileindex.com/insight-report?pid=196 
  59. Molden, D. C., Lee, A. Y., & Higgins, E. T. (2008). Motivations for promotion and prevention. Handbook of Motivation Science, 169-187. 
  60. Moon, N. R. (2022, March 11). 지그재그, 빅데이터 간편결제 디지털 고도화 [Zigzag, digital advancement of big data simple payment]. The Bell. http://www.thebell.co.kr/free/content/ArticleView.asp?key=202203081411596040105189 
  61. NHNAD UIUX lab. (2021, May 14) 사용자의 눈길을 끄는 추천 제공하기 [Providing eye-catching recommendations]. Open ads. https://www.openads.co.kr/content/contentDetail?contsId=6482 
  62. Noh, M. J. (2016). Success model of medical information system: Based on human, organization, and technology-fit model. Journal of Business Research, 31(1), 81-106. https://doi.org/10.22903/jbr.2016.31.1.81 
  63. Noh, M. J. (2021). The impacts of convergence hospital information system quality on satisfaction and performance. Journal of the Korea Convergence Society, 12(9), 73-81. https://doi.org/10.15207/JKCS.2021.12.9.073 
  64. Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57(3), 25-48. 
  65. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Marketing, 64(1), 12-40. 
  66. 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. https://doi.org/10.21326/ksdt.2018.23.4.012 
  67. 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.  https://doi.org/10.14329/isr.2016.18.2.059
  68. Park. S. G. (2011). A study on the impact factors of intention to use on smart devices [Unpublished master's thesis]. Chonnam National University. 
  69. Peng, Z. (2018). The impact of quality factors of personalized recommendation service on consumer purchase decision: Moderating effect of product type [Unpublished master's thesis]. Kyung Hee University. 
  70. Pham, M. T., & Chang, H. H. (2010). Regulatory focus, regulatory fit, and the search and consideration of choice alternatives. Journal of Consumer Research, 37(4), 626-640. https://doi.org/10.1086/655668 
  71. Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: A measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187. https://doi.org/10.2307/249687 
  72. Pmg Knowledge Engine Research Institute. (n.d.). Vertical platform. In Naver Knowledge Encyclopedia. Pmg. https://terms.naver.com/entry.naver?docId=1977826&cid=43667&categoryId=43667 
  73. Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253. https://doi.org/10.1287/isre.8.3.240 
  74. Shin, H. S. (2023, May 16). '버티컬 플랫폼(Vertical platform)이 대세라는데' ['Vertical platforms are the trend']. Syed Money Economic Academy. https://contents.premium.naver.com/economist/academy/contents/230515171805563bc 
  75. Shin, J. H. (2002). A study on factors measuring service quality in the internet shopping mall. Journal of Marketing Management Research, 7(1), 71-96. 
  76. Shin, S. S. (2005). A study on the effects of hotel accounting information system quality on end user's satisfaction. Korea International Accounting Review, 12, 133-148. 
  77. Son, Y. H. (2021, May 27). 대세는 카테고리 킬러… 버티컬 커머 스 플랫폼에 관심 집중 [The trend is category killer… focus on vertical commerce platforms]. Platum. https://platum.kr/archives/163642 
  78. Tak, Y. C. (2022, March 27). MZ세대를 파고든 패션 버티컬 커 머스 플랫폼 [Fashion vertical commerce platform that penetrated the MZ generation]. The Postech Times. http://times.postech.ac.kr/news/articleView.html?idxno=21973 
  79. Tam, K. Y., & Ho, S. Y. (2006). Understanding the impact of web personalization on user information processing and decision outcome. MIS Quarterly, 30(4), 865-890. https://doi.org/10.2307/25148757 
  80. Telecommunications Technology Association. (2016, August 8). 추천 시스템 [Recommendation systems]. In Naver Knowledge Encyclopedia. Retrieved March 20, 2022, from https://terms.naver.com/entry.naver?cid=42346&docId=3436437&categoryId=42346
  81. Um, K. S. (2014). (An) Empirical study of the effects of bigdata attributes and service characteristics of product recommendation system on consumer's acceptance intention [Unpublished doctoral dissertation]. Soongsil University. 
  82. Wang, W. T., Ou, W. M., & Chen, W. Y. (2019). The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management, 44, 178-193. https://doi.org/10.1016/j.ijinfomgt.2018.10.011 
  83. Wei, L. J. (2011). A study on continued use of web portal site based on expectation: Confirmation theory [Unpublished doctoral dissertation]. Hanyang University. 
  84. Werth, L., & Forster, J. (2007). The effects of regulatory focus on braking speed. Journal of Applied Social Psychology, 37 (12), 2764-2787. https://doi.org/10.1111/j.1559-1816.2007.00280.x 
  85. Yang, S. S., Kim, I. H., & Jeong, C. (2016). Effects of digital music service acceptance factors on the perceived value and customer satisfaction. The Journal of the Korea Contents Association, 16(11), 456-463. https://doi.org/10.5392/JKCA.2016.16.11.456 
  86. Yoo, S. M. (2022). The effectiveness of message sidedness in crowdfunding: Focusing on the serial mediating effects of message credibility and perceived risk and the moderating effect of regulatory focus [Unpublished master's thesis]. Kyungpook National University. 
  87. Yoon, J. H. (2021). Quality of service and satisfaction of the fashion product recommendation system [Unpublished master's thesis]. Hanyang University