Journal of the Korean Home Economics Association (대한가정학회지)

The Korean Home Economics Association (대한가정학회)
권호 표지

Factors Affecting Internet Purchaser' ’Buying Frequency

인터넷 구매 빈도의 영향 요인 분석

  • Lee, Mi-Young (Dept. of Clothing and Textiles, University of Ulsan) ;
  • Kim, K. P. Johnson (Dept. of Design, Housing, and Apparel, University of Minnesota)
  • Published : 2003.05.01
Download PDF
⟨ Previous Next ⟩

Abstract

이 연구는 인터넷 소비자들의 행동에 관한 연구의 일부로, 인터넷 구매자들의 구매 빈도와 그들의 인터넷에 대한 태도, 구매 동기, 인터넷 사용, 인구통계적 특성과의 관계를 살펴보았다. Georgia Institute of Technology의 Graphic Visualization and Usability Center에서 실시된 설문조사를 통해 수집된 자료를 요인분석과 회귀분석을 이용하여 분석하였다. 분석 결과. 인터넷 쇼핑에 대한 소비자들의 태도(상대적 잇점. 안전성), 인터넷 판매자에 대한 소비자들의 태도(고객 서비스). 인터넷 브라우징 빈도, 소득, 교육이 인터넷 구매자들의 구매 빈도에 유의한 영향을 미치는 것으로 나타났다.

Keywords

References

  1. Alba, J., Weitz, L. B., Janiszewski, C., Lutz, R., Sawyer, A., & Wood, S. (1997). Journal of Marketing, 61(3), 38-53 https://doi.org/10.2307/1251788
  2. Cho, Y., Lim, S., & Lee, S. (2001). Apparel purchase behavior among Internet shoppers. Journal of the Korean Society of Clothing and Textiles, 25(7), 1247-1257
  3. CyberAtlas (1998). Who's on the Net in the U.S.? [On-line]. Available: http://cyberatlas.com/market/demographics/index.html
  4. Darden, W. R., & Howell,R. D. (1987). Socialization effects or retail work experience on shopping orientations. Journal of Academy of Marketing Science, 15(3), 52-63 https://doi.org/10.1007/BF02722171
  5. Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). ConsumerBehavior. Fort Worth, TX: Dryden
  6. FIND/SVP (1998). U.S. Internet household forecast [On-line]. Available: http://etrg.findsvp.com/timeline/forecast.html.
  7. Hansen, R. A., & Deutscher, T. (1977-1978). An empirical investigation of attribute importance in retail store selection. Journal of Retailing, 53(4), 59-72, 95
  8. Hawkins, D. I., Best, R J., & Coney, K. A. (1989). Consumer behavior (4th ed.). Homewood, IL: Irwin
  9. Hong, H. (2002). Effect of Internet shopping mall attributes on purchase intention for apparel on the Internet. Journal of the Korean Home Economics Association, 40(4), 27-44
  10. IDC(International Data Corporation) (1998). Prediction: 23 percent of all households online by 1998 [On-line]. Available: http://www.idsresearch. com/f/HNR/330.htm
  11. Kaiser, H. F., & Rice, J. (1974). 'Little jiffy mark IV', Educational Psychological Measurement, 34, 111-117 https://doi.org/10.1177/001316447403400115
  12. Kunz, M. B. (1998). Store attributes and consumer characteristics which influence patronage across four retail sources. Paper presented at the annual meeting of the International Textiles and Apparel Association, Dallas, DC
  13. Li, H., Kuo, C., & Russell, M. G. (1999). The impact of perceived channel utilities, shopping orientations, and demographics on the consumer' online buying behavior. Journal of Computer-Mediated Communication, [Online]5(2). Available: http://www.ascusc.org/jcmc/vol5/issue2/hairong.htm
  14. Lohse, G., & Spiller, P. (1999). Internet retail store design: How the user interface influences traffic and sales. Journal of Computer-Mediated Communication, [Online]5(2). Available: http://www.ascusc.org/jcmc/vol5/issue2/lohse.htm
  15. Lumpkin, J. R. (1985). Shopping orientation segmentation of the elderly consumer. Journal of the Academy of Marketing Science, 13(2), 272-289
  16. Maney, K., & Dugas, C. (1997, August 13). On-line shopping is hard to sell. USA Today, B-2B
  17. Metha, R., & Sivadas, E. (1995). Direct marketing on the Internet An empirical assessment of consumer attitudes. Journal of Direct Marketing, 9(3), 21-32 https://doi.org/10.1002/dir.4000090305
  18. Miller, T. E. (1996, July). Segmenting the Internet. American Demographics, 18, 48-52
  19. Norusis, M. J. (1992). SPSS for windows: Advanced statistics. Chicago, IL: SPSS Inc.
  20. O'Reilly and Associates (1995). Survey of Internet usage [On-line]. Available: http://www.ora.com/www/info/research/users/index.html.
  21. Peterson. R. A. (1997). Electronic marketing: Visions, Definitions, and Implications. In R. A. Peterson (Ed.), Electronic Marketing and the Consumer. (pp.1-16). Thousand Oaks, CA: Sage
  22. Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1998). Exploring the implications of the Internet for consumer marketing. Journal of the Academy of Marketing Science, 25(4), 329-346 https://doi.org/10.1177/0092070397254005
  23. Pitkow, J. E. & Kehoe, C. M. (1997) 'GVU's 7th WWW user survey,' URL: http://www.gvu.gatech. edu/user_surveys/survey-1997-04/
  24. Pitkow, J. E., & Recker, M. M. (1994). Results from the first World Wide Web survey. Journal of Computer Networks and ISDN systems, 27(2), 243-254 https://doi.org/10.1016/0169-7552(94)90138-4
  25. Rogers, J. D. (1998) 'GVU's 9th WWW user survey', URL: http://www.gvu.gatech.edu/user_ nsurveys/survey-1998-04/
  26. Rosen, K., & Howard, A. (2000). E-Retail: Gold rush or fool's gold? California Management Review, 42(3), 72-100 https://doi.org/10.2307/41166043
  27. Shim, S., & Kotsiopulos, A. (1993). A Typology of apparel shopping orientation segments among female consumers. Clothing and Textiles Research Journal, 12(1), 73-85 https://doi.org/10.1177/0887302X9301200110
  28. Swaminathan, V., Lepkowska-White, E., & Rao, B. P. (1999). Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange. Journal of Computer-Mediated Communication, [Online]5(2). Available: http://www.ascusc.org/jcmc/vol5/issue2/swaminathan.htm
  29. Szymanski, D., & Hise, R. (2000). E-Satisfaction: An initial examination. Journal of Retailing, 76(3), 309-322 https://doi.org/10.1016/S0022-4359(00)00035-X