본문 바로가기
KERD
논문KCI 등재

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

0

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류생활과학

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.

Abstract

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.

참고문헌 (38)

  1. Aaker, J. L., "‘I’ seek pleasures and ‘we’ avoid pains : The role of self-regulatory goals in information processing and persuasion", Journal of Consumer Research, 28(1), pp.33~49 (2001)[DOI]
  2. 안은미, "광고 창의성 인식과 광고태도에 미치는 반복노출과 자기해석의 효과 연구", 광고연구, (91), pp.123~152 (2011), 한국광고홍보학회
  3. Bae, J. Y., "A study of the recommendation system for online shopping malls considering products recency", master, pp.2004
  4. Chang, C., "Enhancing the effectiveness of antismoking messages via self- congruentappeals", Health communication, 24(1), pp.33~40 (2009)[DOI]
  5. 최혜진, "상품 추천 서비스 유형에 따른 소비자 반응 연구 : 프라이버시 계산 모델을 중심으로", 한국콘텐츠학회 논문지, 20(3), pp.254~266 (2020), 한국콘텐츠학회[DOI]
  6. 천문선, "문화성향이 의복소비행동에 미치는 영향", 한국심리학회지: 소비자·광고, 7(2), pp.277~300 (2006), 한국소비자·광고심리학회
  7. Dhar, R., "Consumer choice between hedonic and utilitarian goods", Journal of Marketing Research, 37(1), pp.60~71 (2000)[DOI]
  8. Hirschman, E. C., "Hedonic consumption: emerging concepts, methods and propositions", Journal of Marketing, 46, pp.92~101 (1982)[DOI]
  9. Jun, S. Y., "Effects of technological hierarchy on brand extension evaluations", Journal of Business Research, 46(1), pp.31~43 (1999)[DOI]
  10. 이동일, "온라인 유통 생태계 프레임워크 개발과 적용방안", 유통연구, 26(4), pp.73~102 (2021), 한국유통학회[DOI]
  11. "코로나19로 인한 전자상거래 이용행태 변화 분석" (2020)[URL]
  12. Kim, B. G., "Personalized recommender system using genetic algorithms", master, pp.2004
  13. 김혜진, "모바일 쇼핑몰의 속성이 소비자의 충성도에 미치는 효과 : 소비자의 O2O 서비스 경험여부를 조절변수로", Journal of Information Technology Applications & Management, 27(3), pp.77~92 (2020), 한국데이터전략학회
  14. "2020년 12월 및 연간 온라인쇼핑 동향" (2021)[URL]
  15. Kwon, D. H, "사회과학연구를 위한 통계학" (2011), Hakjisa
  16. 이다애, "광고모델과 패션제품의 유형, 유행관여도가 광고 호의도에 미치는 영향", 한국인체미용예술학회지, 18(1), pp.173~187 (2017), 한국인체미용예술학회
  17. 이장석, "모바일 간편결제 이용의도에 미치는 영향요인에 관한 연구: 자기해석의 조절적 역할을 중심으로", 디지털융복합연구, 16(4), pp.137~147 (2018), 한국디지털정책학회[DOI]
  18. 이경은, "묶음제품의 가격제시 프레이밍이 구매의도에 미치는 영향연구: 제품유형, 시간적 거리감프레이밍 중심으로", 마케팅관리연구, 22(1), pp.93~114 (2017), 한국마케팅관리학회
  19. Maeng, J. H., "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", master, pp.2018
  20. Mano, H., "Assessing the dimensionality and structure of the consumption experience: evaluation, feeling, and satisfaction", Journal of Consumer Research, 20(3), pp.451~466 (1993)[DOI]
  21. Markus, H., "Culture and the self: Implication for cognition, emotion, and motivation", Psychological Review, 98(2), pp.224~253 (1991)[DOI]
  22. 문재학, "온라인 사용후기 방향성이 정보 신뢰성과 제품태도에 미치는 영향", 경영과 정보연구, 33(4), pp.49~62 (2014), 대한경영정보학회[DOI]
  23. Moon, S. B., "사회과학 연구를 위한 실험설계 분석의 이해와 활용" (1999), Hakjisa
  24. 박병지, "온라인 패션쇼핑몰의 추천서비스 유형별 사용자 평가와사용의도 및 구매의도", 한국디자인포럼, 23(4), pp.139~149 (2018), 한국디자인트렌드학회[DOI]
  25. 박은아, "자기해석과 제품혁신성에 따른 구매의도 및 구매만족: 탐색재와 경험재를 대상으로", 한국심리학회지: 소비자·광고, 11(4), pp.637~659 (2010), 한국소비자·광고심리학회[DOI]
  26. 박종철, "시간해석과 자아해석이 소비자의 고려상표군 형성에 미치는 영향", 소비자학연구, 23(1), pp.29~53 (2012), 한국소비자학회[DOI]
  27. Park, J. E., "Personalized experience, preference based recommender system; User perceived value-based recommender system properties and website loyalty", master, pp.2016
  28. 박윤주, "추천기법별 고객 선호도 및 영향요인에 대한 분석: 전자제품과 의류군에 대한 비교연구", 경영정보학연구, 18(2), pp.59~77 (2016), 한국경영정보학회[DOI]
  29. "What retail can build on and get from cloud in 2020" (2020)[URL]
  30. Singelis, T. M., "Unpackaging culture's influence on self-esteem and embarrassability : The Role of self-const ruals", Journal of Cross-Cultural Psychology, 30(3), pp.315~341 (1999)[DOI]
  31. Snyder, M., "Public appearances, private realities: The psychology of self-monitoring" (1987), W. H. Freeman & Company
  32. Strahilevitz, M., "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), pp.434~446 (1998)[DOI]
  33. Voss, K. E., "Measuring the hedonic and utilitarian dimensions of consumer attitude", Journal of Marketing Research, 40(3), pp.310~320 (2003)[DOI]
  34. Wang, Y. Y., "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), pp.769~799 (2015)[DOI]
  35. 양윤, "자기해석, 초점정서, 광고 내 맥락이 금연 공익광고 태도에 미치는 영향", 광고학연구, 21(2), pp.245~270 (2010), 한국광고학회
  36. Yoo, S. Y., "Fashion social influencer and interaction effects with product attributes", master, pp.2018
  37. Yun, S. W., "The effect of interfaces, message appeal type and need for touch on product preferences in online shopping", master, pp.2019
  38. Zhang, Y., "Matching advertising appeals to culture: The influence of products' use conditions", Journal of Advertising, 25(3), pp.29~46 (1996)[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (9건)