$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Effects of Fashion Company's Marketing Activities Using Micro-blogging Services on Chinese Consumer's Attitude toward Company and Purchase Intention 원문보기

패션비즈니스 = Fashion business, v.18 no.6, 2014년, pp.157 - 173  

Zhao, Liang (E.Land Fashion (Shanghai) Co. LTD.) ,  Lee, MiYoung (Dept. of Fashion Design & Textiles, Inha University)

Abstract AI-Helper 아이콘AI-Helper

The purpose of this research is to investigate the effects of fashion companies' micro-blogging marketing activities on Chinese consumer attitudes and purchasing intentions. In this research, the technology acceptance model (TAM) was used as the research framework, and innovativeness, self-efficacy,...

주제어

AI 본문요약
AI-Helper 아이콘 AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

  • In this study, we aimed to investigate the effects of fashion companies’ micro-blogging marketing activities on Chinese consumer attitudes and purchasing intentions. By adding the variable of perceived enjoyment to the technology acceptance model, this research examined the process by which Chinese consumers accept Micro-blog marketing activities based on the aforementioned studies.
  • In this study, we aimed to investigate the effects of fashion companies’ micro-blogging marketing activities on Chinese consumer attitudes and purchasing intentions.
  • Thus, consumer behavior may vary, depending on fashion innovativeness, according to the preceding studies. In this study, we have examined innovativeness based on both fashion and technology

가설 설정

  • Hypothesis 1-1: Fashion innovativeness will have a positive (+) effect on the perceived usefulness of fashion marketing activities using micro-blogging services.
  • Hypothesis 2-1: Self-efficacy will have a positive (+) effect on the perceived usefulness of fashion marketing activities using micro-blogging services.
  • Hypothesis 2-2: Self-efficacy will have a positive (+) effect on the perceived ease of use of fashion marketing activities using micro-blogging services.
  • Hypothesis 3: Perceived ease of use toward fashion marketing activities that use micro-blogging services will have a positive (+) effect on perceived enjoyment from fashion marketing activities using micro-blogging services.
  • Hypothesis 4: Perceived usefulness toward fashion marketing activities that use micro-blogging services will have a positive (+) effect on perceived enjoyment from fashion marketing activities using micro-blogging services.
  • Hypothesis 5: Perceived enjoyment from fashion marketing activities that are implemented via micro-blogging services will have a positive (+) effect on the attitudes of consumers toward companies using micro-blog services.
  • Hypothesis 6: Consumers’ attitudes toward companies using micro-blogging services will have a positive (+) effect on consumers’ purchase intentions for the products of such companies.
본문요약 정보가 도움이 되었나요?

참고문헌 (42)

  1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247. 

  2. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovation in the domain of information technology. Information Systems Research, 9(2), 204-215. 

  3. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-692. 

  4. Ahn, T., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. 

  5. Bae, D. (2010). User acceptance of mobile Internet: Integrated trust and self-efficacy with TAM. The e-Business Studies, 11(5), 55-70. 

  6. Bandura, A. (1982). Self-efficacy mechanism inhuman agency. American Psychologist, 37(2), 122-147. 

  7. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: WH Freeman. 

  8. Carroll, J. W. & Thomas, J. C. (1988). Fun. SIGCHI Bulletin, 19(3), 21-24. 

  9. Chae, J. (2009). Consumer acceptance model of smart clothing according to innovation. International Journal of Human Ecology, 10(2), 23-33. 

  10. China Internet network information center. (CINIC) (2014). Statistical report on Internet development in China. China Internet network information center. 

  11. China's apparel market. (2013). Retrieved October 10, 2014 from http://economists-pick-research.hktdc.com/business-news/article/Economic-Forum/China-s-Apparel-Market-2013/ef/en/1/1X000000/1X09VKMQ.htm 

  12. Cho, Y., & Yang, H. (2012). The effect of characteristics in fashion social commerce sites and SNS subjective norm on consumer attitudes towards social commerce and purchase intention of fashion products. Journal of the Korean Society of Clothing and Textiles, 36(11), 1148-1161 

  13. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. 

  14. 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. 

  15. Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1). doi:10.1111/j.1083-6101.2000.tb00110 

  16. George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference. 11.0 update (4th ed.). Boston: Allyn & Bacon. 

  17. Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. The Journal of Marketing, 60(3), 50-68. 

  18. Hong, B. & Na, Y. (2008). The effect of the perceived hedonic value, usefulness and ease of use on attitude toward using in Internet shopping mall and purchasing intention of the fashion merchandise. Journal of the Korean Society of Clothing and Textiles, 32(1), 147-156. 

  19. Hong, J., Chae, H., & Han. G. (2006). A study on the key factors in user acceptance of the smart clothing. Journal of Emotion and Sensibility, 9(3), 235-241. 

  20. Hsu, C. L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management 45, 65-74. 

  21. Jin, J., Zhao, L., & Park, J. (2011). A research on usage factors of mobile microblogging service. Management Science & Financial Engineering, 28(3), 83-94. 

  22. Jun, D., & Rhee, E. (2009). The effects of fashion innovativeness and style-innovation attributes on fashion adoption. Journal of the Korean Society of Clothing and Textiles, 33(10), 1564-1574. 

  23. Kang, K., & Jin, H. (2007). A Study on Consumers' Clothing Buying Intention Adopted By the Technology Acceptance Model. Journal of the Korean Society of Clothing and Textiles, 31(8), 1211-1221. 

  24. Kim, H., & Rhee, E. (2001). Consumer segmentation of clothing products by fashion conformity / innovation and their reference groups. Journal of the Korean Society of Clothing and Textiles, 25(7), 1341-1352. 

  25. Kline, P. (2000). The handbook of psychological testing (2nd ed.). London: Routledge. 

  26. Ko, E., Kim, K., & Zhang, H. (2008). A cross cultural study of antecedents of purchase intention for sports shoes in Korea and China. Journal of Global Academy of Marketing, 18(1), 157-177. 

  27. Lee, H. (2009). A study on the acceptance of wearable computers based on the extended technology acceptance morel. The Research Journal of the Costume Culture, 17(6), 1155-1172. 

  28. Lee, H. (2012). A study on consumers' buying intention toward fashion goods through global Internet shopping malls. The Research Journal of the Costume Culture, 20(4), 573-593. 

  29. Lee, K., Sung, J., & Jun, S. (2008). Effects of interactivity of Internet sponsorship on the website attitude. Journal of Marketing Management Research, 13(3), 21-35. 

  30. Lee, S., Lee, U., & Yu, J. (2011). Antecedents of purchase intention toward fashion T-commerce: Application of technology acceptance model. Journal of Marketing Research, 22(1), 93-115. 

  31. Murphy, C.A., Coover, D., & Owen, S.V. (1989). Development and validation of the computer self-efficacy scale. Educational and Psychological Measurement, 49, 893-899. 

  32. Oh, M., & Kim, I. (2014). The effect of consumer attitude toward fashion products on SNS's characteristics to purchase intention and online word of mouth. Journal of the Korean Society of Fashion Design, 14(1), 101-120. 

  33. Park, J. (2004). The impact of the consumer's innovativeness on online shopping behavior: Based on the Technology Acceptance Model. Advertising Research, 63, 79-101. 

  34. Rhee, E. (1999). Fashion marketing. Seoul: Kyomunsa. 

  35. Soroa-Koury, S., & Yang, K. (2010). Factors affecting consumers' responses to mobile advertising from a social norm theoretical perspective. Telematics and Informatics, 27(1), 103-113. 

  36. Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and extrinsic motivation in Internet usage. International Journal of Management Science, 27, 25-37. 

  37. Wikipedia (2010). Micro-blogging. Retrieved November 24, 2010 from http://en.wikipedia.org/wiki/Micro-blogging. 

  38. 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. 

  39. Yang, K. (2007). Exploring factors affecting consumer intention to use mobile advertising in Taiwan. Journal of International Consumer Marketing, 20(1), 33-49. 

  40. Yang, H., Liu, H., & Zhou, L. (2012). Predicting young Chinese consumers' mobile viral attitudes, intents and behavior. Asia Pacific Journal of Marketing and Logistics, 24(1), 59-77. 

  41. Zhang, J., & Mao, E. (2008). Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psychology & Marketing, 25(8), 787-805. 

  42. Zhao, D., & Rosson, M. B. (2009). How and why people twitter: The role that micro-blogging plays in informal communication at work. In Proceedings of the ACM 2009 International Conference on Supporting Group Work Sanibel Island. Florida: ACM press. 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

FREE

Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문

이 논문과 함께 이용한 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로