최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기감성과학 = Science of emotion & sensibility, v.20 no.2, 2017년, pp.73 - 86
The purpose of this study was to investigate the influence of consumers' shopping value(SV), ease of use(EOU), and usefulness(U) on their purchase intention(PI) in mobile shopping mall. Path hypotheses in structural equation model which was constructed for this purpose were verified. In addition, th...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
경험적 관점에서 쇼핑가치는 어떻게 분류되는가? | 쇼핑가치는 소비자가 쇼핑을 하는 과정에서 경험하게 되는 요소로 개인이 추구하는 가치에 따라 쇼핑 행동에 관련된 요인이나 쇼핑결과가 달라질 것이다. 쇼핑의 경험적 관점에서 보았을 때 쇼핑가치는 쾌락적(Hedonic) 가치와 실용적(Utilitarian) 가치로 분류되며(Babin et al., 1994), 관련된 구매행동 변수들과 함께 연구되어 왔다. | |
사용용이성은 무엇인가? | 사용용이성(Ease of Use: EOU)은 특정 정보기술이나 시스템을 사용 시 사용자가 그 기술이나 시스템을 사용하는데 있어서 노력이 들지 않을 것(free of effort)이라고 기대하는 정도로(Davis et al, 1989), Davis(1989)는 사용용이성은 유용성을 경유하여 태도 및 수용의도에 영향을 준다고 하면서 유용성의 선행 변수임을 제시하였다. 정보기술이나 시스템을 수용하는 과정을 설명하면서 많은 연구들이 사용용이성이 유용성을 거쳐 수용의도, 또는 행동의도에 영향을 준다고 밝혔고(Igbaria et al. | |
쾌락적 가치가 유용성에 직접적인 영향을 미친다는 것으로 미루어보아 알 수 있는 것은? | 소비자의 실용적 가치는 모바일 시스템의 유용성에 직접적인 영향을 미치기보다는 사용용이성을 경유하여 유용성에 영향을 주는 것으로 확인되며, 쾌락적 가치는 상대적으로 유용성에 직접적인 영향을 미치는 것으로 확인되었다. 즉 쇼핑을 쾌락적으로 즐기는 소비자들은 모바일쇼핑을 유용하게 지각하나. 경제적인 쇼핑을 하는 소비자는 모바일시스템의 사용용이성을 지각한 후 모바일쇼핑을 유용하게 생각하는 것으로 판단된다. |
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quartly, 24(4), 665-694. doi:10.2307/3250951
Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361-391. doi:10.1111/j.1540-5915.1999.tb01614.x
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656. doi:10.1086/209376
Bae, G.-S. (2004). A study on the factors which affect the intention to users in using mobile commerce in the view of technology acceptance model. Unpublished master's thesis, Sookmyung Women's University, Seoul.
Bagozzi, R. P. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607-627. doi:0022- 3514.41.4.607
Chau, P. Y. K. (1996). An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems, 13(2), 185-204. doi:10.1080/07421222.1996.11518128
Cho, Y. J., & Seo, S. W. (2013). Purchase intention of fashion products in private shopping malls: Focused on usefulness of SNS and shopping value. Journal of the Korean Society of Costume, 63(5), 61-71. doi:10.7233/jksc.2013.63.5.061
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Massachusetts Institute of Technology, Cambridge, MA.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi:10. 2307/249008
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. doi:10.1287/mnsc.35.8.982
Fishbein, M., & Ajzen, I. (1973). Attribution of responsibility: A theoretical note. Journal of Experimental Social Psychology, 9(2), 148-153. doi: 10.1016/0022- 1031(73)90006-1
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate data analysis: With readings (4th ed.). Upper Saddle River, NJ: Prentice-Hall.
Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101. doi:10.2307/1251707
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. M. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-305. doi:10.2307/249498
Johnson, K. K. P., Yoo, J.-J., Rhee, J., Lennon, S., Jasper, C., & Damhorst, M. L. (2006). Multi-channel shopping: Channel use among rural consumers. International Journal of Retail & Distribution Management, 34(6), 453-466. doi:10.1108/ 09590550610667047
Ju, K. W., & Lee, E. J. (2015). The effect of shopping orientation, fashion innovativeness and perceived mobile benefits on mobile clothing. Journal of the Korean Society of Fashion Design, 15(2), 147-164.
Jung, S.-M., & Park, J.-Y. (2014). The effects of online purchase experience on the transaction intention using smartphone. Journal of CEO and Management Studies, 17(2), 69-88.
Kim, D. W., Lee, T. M., & Kang, M. S. (2003). A study on the effects of perceived risk and perceived quality on the mobile-commerce adoption: An extension to the technology acceptance model. Korea Journal of Business Administration, 35, 171-193.
Kim, M. J., & Shin, S. Y. (2014). Effects of mobile fashion shopping characteristics on perceived usefulness, perceived ease of use, purchase attitude, and purchase intention of mobile fashion shopping mall: Focusing on smartphone users. The Research Journal of the Costume Culture, 22(2), 240-257. doi:10.7741/rjcc. 2014.22.2.240
Korea Internet & Security Agency. (2015). 2015 Survey on the Mobile Internet Usage Summary (2015년 모바 일 인터넷이용 실태조사요약보고서). Retrieved February 1, 2016, from http://isis.kisa.or.kr/ board/? pageId060100&bbsId7&itemId809&pageIndex1
Ku, Y. S., & Lee, S.-M. (2001). A study on the effect of on-line store attributes on consumers’ purchase intention of internet fashion product shopping. Journal of the Korean Society of Clothing and Textiles, 25(6), 1100-1111.
Lee, C. S., & Pahng, S. B. (2004). The effects of shopping value on online purchasing intention: Focus on product attribute importance as intervening variable. Korea Marketing Review, 19(2), 41-69.
Lee, Y. J. (1993). Basic data analysis using SPSS/ PC+(SPSS/PC+를 이용한 기초자료 분석). Seoul: Sukjung.
Lohse, G. L., Bellman, S., & Johnson, E. J. (2000). Consumer buying behavior on the internet: Findings from panel data. Journal of Interactive Marketing, 14(1), 15-29.
Park, E. J., & Kang, E. M. (2005). Effects of shopping value, fashionb shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Family and Environment Research, 43(7), 117-128.
Rho, H. J. (2003). Social research analysis by SPSS/ Amos (SPSS/AMOS에 의한 사회조사 분석). Seoul: Hyungseul.
Ruth, C. J. (2000). Applying a modified technology acceptance model to determine factors affecting behavioral intentions to adopt electronic shopping on the world wide web: A structural equation modeling approach. Doctoral dissertation, Drexel University, Philadelphia, PA.
Shim, K. Y., Kim, Y.-M., & Kim, W.-H. (2002). The influences of the characteristics of internet shopping malls and the shopping traits of their users involved in e-commerce on purchase intent. The Journal of Internet Electronic Commerce Research, 2(1), 59-76.
Shin, J. C., & Kang, M. S. (2004). A study on the impact of consumer value on the mobile wireless internet on the usage intention and time of the mobile wireless internet. Journal of Consumer Studies, 15(2), 125-143.
Statistics Korea. (2015). Retail sales and online shopping trends in october 2015 (2015년10월 소매판매 및 온라인쇼핑 동향). Retrieved February 1, 2016, from http://kostat .go.kr/portal /korea/kor_nw/3/ index.board?bmodedownload&bSeq&aSeq35006 3&ord4
Taylor, S. A., & Baker, T. L. (1994). An assessment of the relationship between service quality and customer satisfaction in the formation of consumers' purchase intentions. Journal of Retailing, 70(2), 163-178. doi:10.1016/0022-4359(94)90013-2
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365. doi: 10.1287/isre.11.4.342.11872
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & Management, 41(6), 747-762. doi:10. 1016/j.im.2003.08.011
Werts, C. E., Linn, R. L., & Joreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1), 25-33. doi:10.1177/0013164474 03400104
Yu, J. P. (2012). Structural equation modeling concepts and understanding: Amos 4.0-20.0 common ((우종필교수의) 구조방정식 모델 개념과 이해: Amos 4.0-20.0 공용). Seoul: Hannarae Academy.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.