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라이브 커머스의 왕홍 마케팅이 중국 소비자의 패션상품 구매의도에 미치는 영향 - 왕홍의 특성과 소비자 공동경험의 매개효과를 중심으로 -

Effects of Wanghong marketing in live commerce on chinese consumers’ purchase intention toward fashion products - Focusing on the mediating effect of Wanghong’s characteristics and consumers’ co-experience -

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Real-time two-way communication has become an important factor in the relationship between consumers and broadcasters in the Live Commerce environment. To clarify, the relationship of the factors, and the effect of Live Commerce’s on consumer purchase intention were examined. In addition, the role of Wanghong, who broadcasts Live Commerce and Co-experience that occurs between consumer and broadcasters influences consumer purchase intention. An online survey method was conducted for 403 subjects in their 20s that were Live Commerce users in Shanghai, Beijing, and Guangzhou, China. The number of final the data used for the analysis was 274 and anlaysis was conducted using SPSS 26.0 program and a Sobel test was employed. Based on the analysis of the data, it was found that Live Commerce’s characteristics consisted of interactivity, security, and Wanghong’s characteristics consisted of honesty, originality, and expertise. Also, it revealed that Co-experience was consisted of responsiveness and vividness. Second, for Live Commerce’s characteristics, the Wanghong’s characteristics, and Co-experience had a positive effect on the consumers’ purchase intention. Third, the Wanghong’s characteristics and vividness, a factor of Co-experience, had significant mediating effects on the relationship between Live Commerce’s characteristics and the consumers’ purchase intention. Finally, responsiveness of Co-experience had a noteworthy mediating effect on the relationship between the interactivity of Live Commerce’s characteristics and the consumers’ purchase intention. This study confirmed the important role of Live Commerce’s characteristics, the Wanghong’s characteristics and Co-experience in relation to the consumers’ purchase intention. In addition, the Wanghong’s characteristics and Co-experience were proposed as a significant mediating factors.

Abstract

Real-time two-way communication has become an important factor in the relationship between consumers and broadcasters in the Live Commerce environment. To clarify, the relationship of the factors, and the effect of Live Commerce’s on consumer purchase intention were examined. In addition, the role of Wanghong, who broadcasts Live Commerce and Co-experience that occurs between consumer and broadcasters influences consumer purchase intention. An online survey method was conducted for 403 subjects in their 20s that were Live Commerce users in Shanghai, Beijing, and Guangzhou, China. The number of final the data used for the analysis was 274 and anlaysis was conducted using SPSS 26.0 program and a Sobel test was employed. Based on the analysis of the data, it was found that Live Commerce’s characteristics consisted of interactivity, security, and Wanghong’s characteristics consisted of honesty, originality, and expertise. Also, it revealed that Co-experience was consisted of responsiveness and vividness. Second, for Live Commerce’s characteristics, the Wanghong’s characteristics, and Co-experience had a positive effect on the consumers’ purchase intention. Third, the Wanghong’s characteristics and vividness, a factor of Co-experience, had significant mediating effects on the relationship between Live Commerce’s characteristics and the consumers’ purchase intention. Finally, responsiveness of Co-experience had a noteworthy mediating effect on the relationship between the interactivity of Live Commerce’s characteristics and the consumers’ purchase intention. This study confirmed the important role of Live Commerce’s characteristics, the Wanghong’s characteristics and Co-experience in relation to the consumers’ purchase intention. In addition, the Wanghong’s characteristics and Co-experience were proposed as a significant mediating factors.

참고문헌 (53)

  1. 강경희, "다중채널네트워크(MCN)산업의 1인 창작콘텐츠 속성이 이용자 만족도 및충성도에 미치는 영향", 석사, pp.2017
  2. 김민정, "스마트폰을 통한 트위터 이용이 온라인과 오프라인 관계 형성에 미치는 영향", 한국방송학보, 26(1), pp.43~82 (2012), 한국방송학회
  3. 김민정, "인터넷 개인방송의 상호작용적 특성이 온라인 관계와 시청 행태에 미치는 영향", 방송과 커뮤니케이션, 19(3), pp.84~126 (2018), 한국방송학회[DOI]
  4. 김영란, "소비자의 정보원 유형에 따른 설득지식이 정보 공신력과 전문성에 미치는 영향에 대한 연구: 중국 소비자의 사례를 중심으로", 디지털무역리뷰, 17(3), pp.141~159 (2019), 한국디지털무역연구소[DOI]
  5. 김유민, "크리에이터의 브랜드 개성과이용자의 자아 이미지 일치성이 행동의도에미치는 영향 연구", 석사, pp.2016
  6. 김유정, "국내 이동통신사업자의 모바일 인터넷 서비스의 주요 성공요인에 관한 연구: S 기업 사례를 중심으로", 인터넷비지니스연구, 2(2), pp.135~161 (2001)
  7. 김재영, "정보원 출처에 따른광고태도의 매개효과", 광고연구, (52), pp.31~46 (2001)
  8. 김재휘, "정보원의 전문성과 시청자의 유행관여도에 따른 간접광고의 효과:TV드라마속 패션상품 PPL을 중심으로", 광고학연구, 14(1), pp.95~115 (2003), 한국광고학회
  9. 송예진, "패션 제품 소셜 라이브 스트리밍 서비스(SLSS)의 인지적 공유를 통한 서비스품질 지각과 구매경험의 조절효과", 한국의류학회지, 44(4), pp.639~656 (2020), 한국의류학회[DOI]
  10. 신영웅, "페이스북 정보원의 전문성과 사회적 거리감에 따른 광고효과연구 : 설득지식모델을 적용하여", 광고학연구, 25(1), pp.343~366 (2014), 한국광고학회
  11. 심은진, "신선식품 온라인 구매리뷰의생동감과 전문성이 사용자의 구매의도에 미치는 영향에 관한 연구: 사용자의 지각된 상호작용성 조절효과를 중심으로", 석사, pp.2018
  12. (2020)[URL]
  13. 왕양, "왕홍(网红) 생방송 시청이 구매의도에 미치는 영향에 대한 연구", 석사, pp.2020
  14. 위소설, "중국 왕홍에 대한 지각된 가치, 준거집단 및 구매의도에 관한 연구 : 중국 20, 30대 소비자 중심으로", 석사, pp.2018
  15. 윤종수, "모바일 인터넷 서비스의 주요성공요인에 관한 사례연구", 한국정보전략학회지, 5(1), pp.37~60 (2002)
  16. 윤해룡, "인플루언서의 패션 제품 사용영상이 브랜드 태도와 구매의도에 미치는영향", 석사, pp.2019
  17. 이맹탁, "유튜브(YouTube) 뷰티 인플루언 서 속성이 콘텐츠 태도, 제품 태도, 구전의도, 구매의도에 미치는 영향 연구", 광고학연구, 31(5), pp.117~142 (2020), 한국광고학회[DOI]
  18. 이성훈, "웹서비스 보안성 강화 방안", 디지털융복합연구, 11(12), pp.361~366 (2013), 한국디지털정책학회[DOI]
  19. 이현주, "소셜 인플루언서의 특성이 팬쉽과 구매의사액에 미치는 영향 : 미디어인게이지먼트의 조절효과와 제품 관여도의 차이를 중심으로", 대한경영학회지, 33(2), pp.273~303 (2020), 대한경영학회
  20. 장야친, "중국 왕홍의 특징이 소비자 반응에 미치는 영향에 대한 연구", 석사, pp.2017
  21. 장의녕, "인터넷 개인 방송 왕홍을 통한 제품 구매와 관련된 중국 소비자 태도에 영향을 미치는 요인", 한국콘텐츠학회 논문지, 18(10), pp.1~10 (2018), 한국콘텐츠학회[DOI]
  22. 정지원, "YouTube 영상에 대한 카테고리별 특성 및 사용자 반응성 분석에 관한 연구", 디지털콘텐츠학회논문지, 20(12), pp.2573~2581 (2019), 한국디지털콘텐츠학회[DOI]
  23. 주링즈, "뷰티 유튜버 마케팅 커뮤니케이션 특성이 구매 의도에 미치는 영향: 신뢰성과 브랜드 태도의 매개효과", 석사, pp.2017
  24. 최은영, "패션 윈도우 디스플레이의 디자인 독창성이 브랜드 태도와 구매의도에 미치는 영향", 복식, 63(1), pp.119~133 (2013), 한국복식학회[DOI]
  25. 푸치싱쯔, "중국 왕홍 마케팅이 구독자의 반응에 미치는 영향", 한국디자인문화학회지, 25(3), pp.509~521 (2019), 한국디자인문화학회
  26. 허희진, "VR 패션쇼핑채널 특성과 소비자 관여가 채널수용에 미치는 영향-생동감과 상호작용성, 패션관여도를 중심으로-", 한국의류학회지, 43(5), pp.725~741 (2019), 한국의류학회[DOI]
  27. 황장선, "사용자간 상호작용성(User-to-User Interactivity)의 측정을 위한 척도 개발과 검증:온라인 브랜드 커뮤니티를 대상으로", 광고학연구, 22(4), pp.203~230 (2011), 한국광고학회
  28. Alba, J., "Interactive home shopping : Consumer, retailer, and manufacturer incentives to parti cipate in electronic marketplaces", Journal of Marketing, 61(3), pp.38~53 (1997)
  29. Battarbee, K., "Defining co-experience", Proceedings of the 2003 International Conference on Designing Pleasurable Products and Interfaces, pp.109~113 (2003)
  30. Battarbee, K., "Co-experience: The social user experience", CHI'03 Extended Abstracts on Human Factors in Computing Systems, 1, pp.730~731 (2003)
  31. Battarbee, K., "Co-experience : User experience as interaction", CoDesign, 1(1), pp.5~18 (2005)
  32. Chen L., "The Dilemma and Countermeasures of Internet Live Commerce Service Supervision", New Media Research, 3(3), pp.106~107 (2017)
  33. Forlizzi, J., "Understanding experience in interactive systems", Proceedings of the 5th Conference on Designing Interactive Systems: processes, practices, methods, and techniques, pp.261~268 (2004)
  34. Fortin, D. R., "Inter activity and vividness effects on social presence and involvement with a web-base d advertisement", Journal of Business Research, 58(3), pp.387~396 (2005)
  35. Hess, T. J., "Designing interfaces with social presence : Using vividness and extraversion to create social recommendation agents", Journal of the Association for Information Systems, 10(12), pp.889~919 (2009)
  36. Hovland, C. I., "The influence of source credibility on communication effectiveness", Public Opinion Quarterly, 15(4), pp.635~650 (1951)
  37. "China’s live commerce market research report in the first half of 2020" (2020)[URL]
  38. Liu, F., "The impact of network celebrities’ information source characteristics on purchase intention", Chinese Journal of Management, 17(1), pp.94~104 (2020)
  39. Lombard, M., "Interactive advertising and presence : A frame work", Journal of Interactive Advertising, 1(2), pp.56~65 (2001)
  40. McMillan, S. J., "A four-part model of cyber-interactivity : Some cyber-places are more interactive than others", New Media & Society, 4(2), pp.271~291 (2002)
  41. Novak, T. P., "Building consumer trust in online environments : The case for information privacy", Communications of the ACM, 40(4), pp.80~85 (1999)
  42. Shen, X., "The development history, feature analysis and governance countermeasures of instant online celebrities in China", Journal of Intelligence, 35(11), pp.93~98 (2016)
  43. Shih, H. P., "An empirical study on predicting user acceptance of e-shopping on the Web", Information & Management, 41(3), pp.351~368 (2004)
  44. Shu, S., "Web live marketing considerations and prospects in the publishing industry", Science-Technology & Publication, 36(6), pp.33~37 (2017)
  45. "Smartphone owner ship is growing rapidly around the world, but not always equally" (2019)[URL]
  46. "Distribution of social commerce users in China in 2019, by age group" (2020)[URL]
  47. Sun, Y., "A 2020 perspective on “How live streaming influences purchase intentions in social commerce: An IT affordance perspective", Electronic Commerce Research and Applications, 40, pp.100958~ (2020)
  48. Tan, C., "Analysis of the definition characteristics, development process and business model of webcast", Modern Business, (19), pp.165~168 (2018)
  49. "Market size of online live streaming in China in 2018 and 2019 with a forecast for 2020" (2020)[URL]
  50. Yin, Z., "Research on live tour ism marketing of tourism destinations under the background of “Internet +”", Economic & Trade, (17), pp.129~129 (2017)
  51. "2019년 중국을 흔든 5대 마케팅 키워드" (2019)[URL]
  52. "2019 China new consumer cities index report" (2020)[URL]
  53. Xie, Z., "The 2020 top 100 internet red cities list is here! Beijing, Shanghai, Guangzhou, Shenzhen and Hangzhou are the hardest core, who do you pick?", 21jingji, ~ (2020)

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