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open access
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ISSN : 1229-8778
A new media, SNS have shown fast growth in the last few years and increasing its impact throughout our society, and also have revealed various problems throughout our society along with the mature of SNS growth rate. Based on the background, this study proposes a SNS continuing usage model, which is based on the Uses and Gratifications Theory and the Technology Acceptance Model. This model shows the structural relationships among four major functions (expert search, communication and connection, content sharing, and identity) for SNS usage, the perceived usefulness on SNS and the perceived ease of use in SNS, SNS gratifications, a continuing usage intention for SNS, and network factors and SNS self-efficacy, which are social-psychological variables. Considering actual SNS users’ demographic features, this research collected data (n=522) so that generalization of the findings in this study is possible. The findings revealed that three major variables for SNS function perceptions (expert search, communication and connection, identity) except the ‘content sharing’ construct positively affected perceived usefulness in SNS and perceived ease of use in SNS. Perceived usefulness in SNS and perceived ease of use in SNS by these SNS function perceptions directly affect SNS gratifications. Unlike the proposed hypothesis, perceived usefulness in SNS did not affect continuing usage intention for SNS and like the proposed hypothesis, perceived ease of use in SNS affected continuing usage intention for SNS. Interestingly, unlike the proposed hypothesis, network factors and SNS self-efficacy, which are social-psychological variables as an external factor, do not affect either SNS gratifications or continuing usage intention for SNS. This result shows an evidence meaning the network factors through SNS actually does not work. This study also found an effect of SNS self-efficacy on both SNS gratifications and continuing usage intention for SNS, as hypothesized so that it confirmed that SNS self-efficacy is an important internal factor for continuing usage for SNS. This study discusses theoretical meanings and insights within the findings to increase continuing usage intention for SNS, and provides managerial implication directions for strategical, successful utilizations of SNS as a marketing communication tool.
가명호, 정대율 (2010). Social network sites usage and revisiting: an empirical study on user behaviors in China, 인터넷전자상거래연구, 10(4), 193-219.
고상민, 황보환, 지용구 (2010). 소셜네트워크서비스와 온라인 사회적 자본: 한국과 중국 사례를 중심으로, 한국전자거래학회지, 15(1), 103-118.
금희조, 조재호 (2010), 스마트폰, 커뮤니케이션 격차, 그리고 정치 참여: 소셜 미디어 효과에 대한 스마트폰이용의 조절 역할을 중심으로, 한국언론학보, 54(5), 348-465.
김상훈, 박현정, 이방형 (2010). 사회적 영향력과 모바일 서비스의 사용-확산, 그리고 지속적 사용 및 상표 전화의도 간의 관계에 대한 연구, 한국마케팅저널, 12(3), 1-24.
매일경제, 2012. 3. 19. ‘SNS의 불은 꺼지고 있는가’.
박지홍 (2008). Exploring factors influencing users’ continuance intention in social networking sites, 정보관리학회지, 25(4), 205-226.
정기한, 정지희, 신재익 (2010), 기업의 SNS (Social Networking Service)활동이 브랜드 및 구전, 구매의도에 미치는 영향. ‘2010 한국경영통합 학술대회
최은정 (2012). An Empirical Study of the Impact of SNS Market Orientation on Business Performances, working paper
Asch, S. E. (1955), Opinions and Social Pressure. Scientific American, 193, 31-35.
Bagozzi, R. P., Yi, Y., and Philip, L. W. (1991), Accessing construct validity in organization research, Administrative Accidence Quarterly, 36, 421-458.
Bandura A. (1986), Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice- Hall
Benbasat, I. and Moore, G. C. (1991), Development of measures for studying emerging technologies. System Sciences, Proceedings of the Twenty-Fifth Hawaii International Conferences, 4, 315-324.
Bhattacherjee, A. (2001), Understanding information systems continuance: an expectation-confirmation model, MIS Quarterly, 25(3), 351-370.
Biocca, F. (1988), The pursuit of sound: radio, perception, and utopia in the early twentieth century. Media, Culture, & Society, 10, 61-80.
Chen, Q., Clifford, S. J., and Wells, W. D. (2002), Attitude toward the site Ⅱ: New information, Journal of Advertising Research, 42(2), 33-45.
Childers, T. L., Carr, C. L., Peck, J,. and Carson S. (2001), Hedonic and utilitarian motivations for online retail shopping behaviour, Journal of Retailing, 77(4), 511-535.
Davis, F. D. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13, 319-340.
Davis, F. D. (1993), User acceptance of information technology: Systems characteristics, user perceptions and behavioral impacts, International Journal of Man-Machine Studies, 38(3), 475-487.
Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989), User acceptance of computer technology: A comparison of two theoretical models, Management Science, 35, 982-1003.
Eastin, M. A. and LaRose, R. L. (2000), Internet self-efficacy and the psychology of the digital divide. Journal of Computer Mediated Communication, 6(1). Retrieved November 29, 2000 from the World Wide Web: http:// www.ascusc.org/jcmc/vol6/issue1/eastin.html
ExactTarget과 CoTweet의 공동 서베이 결과 (2012) 내부자료
Hong, S., Tam, K., and Kim, J. (2006), Mobile data service fuels the desire for uniqueness, Communications of the ACM, 49, 89-94.
Jeong, S. W., Fiore, A. M., Niehm, L. S., and Lorenz, F. O. (2009), The role of experiential value in online shopping: the impacts of product presentation on consumer responses towards an apparel web site, Internet Research, 19(1), 105-124.
Karahanna, E., Straub, D., W. and Chervany, N. L. (1999), Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 23(2), 183-213.
Katz, E., Blumler, J. G., and Gurevitch, M. (1973), Uses and Gratifications Research, The Public Opinion Quarterly, 37(4), 509-523.
Katz, E., Blumler, J. G., and Gurevitch, M. (1974), Utilization of mass communication by the individual. In J. G. Blumler, and E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp.19-32). Beverly Hills: Sage.
Katz, E., Gurevitch, M., and Haas, H. (1973), On the use of mass media for important things, American Sociological Review, 38.
Kim, G. S., Park, S., and Oh, J. (2008), In examination of factors influencing consumer adoption of short message service(SMS), Psychology and Marketing, 25(8), 769-786.
Korgaonkar, P. K. and Wolin, L. D. (1999), A multivariate analysis of Web usage, Journal of Advertising Research, (March/April), 53-68.
Koufaris, M. (2002), Applying the technology acceptance model and flow theory to online consumer behaviour. Information Systems Research, 13(2), 205-223.
LaRose, R. Lin, C. and Eastin, M. S. (2003), Internet addiction, habits and deficient self- regulation. Media Psychology, 5(3), 225-253.
LaRose, R. Mastro, D., and Eastin, M. S. (2001), Understanding Internet Usage: A Social Cognitive Approach to Uses and Gratifications. Social Science Computer Review, 19(4), 395-413.
Lin, H. F. (2007), The role of online and offline features in sustaining virtual communities: an empirical study. Internet Research, 17(2), 119- 138.
Palmgreen, P., Wenner, L., and Rosengren, K. (1985), Uses and gratifications research: The past ten years. In K. Rosengren, L. Wenner, & P. Palmgreen (Eds.), Media Gratifications Research (pp.11-37). Beverly Hills, CA: Sage Publications.
Shih C. and Venkatesh, A. (2004), Beyond adoption: development and application of a use-diffusion model. Journal of Marketing, 69(January), 59-72
Venkatesh, V. (1999), Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239-260.
Venkatesh, V. and Davis, F. (2000), A theoretical extension of the technology acceptance model: for longitudinal field studies, Management Science, 46(2), 186-204.
Wimmer, R. D. and Dominick, J. R. (1994), Mass Media Research, 4th edition, Wordsworth Pub. Co.