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소셜 네트워크 서비스의 속성 : 분류와 비교
Attributes of Social Networking Services : A Classification and Comparison 원문보기

Journal of Korean Society of Industrial and Systems Engineering = 한국산업경영시스템학회지, v.41 no.1, 2018년, pp.24 - 38  

손정웅 (한국교통연구원) ,  김진기 (한국항공대학교 경영학부)

Abstract AI-Helper 아이콘AI-Helper

Since a social networking service (SNS) isconsidered as an effective means to communicate and interact with customers, companies are trying to utilize SNS effectively. There is a lack of theory relating to the attributes of SNS. This study aims to investigate the attributes of SNS to classify SNS. B...

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  • This research drew attributes of SNS based on the measurement items introduced in the documents that were available at the time of research in order to add effectiveness to social marketing. This study, however, had several limitations which must be noted.
  • This research endeavored to analyze the attributes and functions of SNS and investigated the most appropriate attributes and functions that companies should have in order to increase their social marketing effects.
  • This research was carried out to validate attributes of SNS from a general perspective, and the findings are of great significance for academic and application development. From the academic perspective, these results provide a foundation for the development of further research, and have demonstrated the potential to develop a general theory that can throw ideas into shape.
  • Few studies have compared attitudes and behaviors across sites. This study aims at investigating attributes of SNS to classify SNS. Based on these attributes, this study tries to evaluate major SNS to differentiate them.
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참고문헌 (107)

  1. Alexander, R. and Michael, K., Functions of Social Networking Services, presented at the COOP08 : the 8th International Conference on the Design of Cooperative System, 2008. 

  2. Amichai-Hamburger, Y. and Vinitzky, G., Social Network Use and Personality, Computers in Human Behavior, 2010, Vol. 26, No. 6, pp. 1289-1295. 

  3. Armstrong, A. and Hagel III, J., The real value of online communities, Harvard Business Review, 1996, Vol. 74, No. 3, pp. 134-141. 

  4. Armstrong, C.B. and Rubin, A.M., Talk Radio as Interpersonal Communication, Journal of Communication, 1989, Vol. 39, No. 2, pp. 84-94. 

  5. Avery, R.K., Ellis, D.G., and Glover, T.W., Patterns of communication on talk radio, Journal of Broadcasting & Electronic Media, 1978, Vol. 22, No. 1, pp. 5-17. 

  6. Baghaei, N., Kimani, S., Freyne, J., Brindal, E., Berkovsky, S., and Smith, G., Engaging Families in Lifestyle Changes Through Social Networking, International Journal of Human-Computer Interaction, 2011, Vol. 27, No. 10, pp. 971-990. 

  7. Bantz, C.R., Exploring uses and gratifications : A comparison of reported uses of television and reported uses of favorite program type, Communication Research, 1982, Vol. 9, No. 3, pp. 352-379. 

  8. Barnes, J.A., Class and Committees in a Norwegian Island Parish, In S. Leinhardt (Ed.), Social Networks : A Developing Paradigm (pp. 233-252). New York : Academic Press. 

  9. Bateman, P., Gray, P., and Butler, B., Community Commitment : How Affect, Obligation, and Necessity Drive Online Behaviors, in the 27th International Conference on Information Systems (ICIS), 2006. 

  10. Bays, H. and Mowbray, M., Cookies, Gift-Giving, and Online Communities. (Eds,Werry, C. and Mowbray, M.) Prentice Hall PTR, Upper Saddle River, NJ, 2001. 

  11. Bell, C. and Newby, H., Community Studies : An Introduction to the Sociology of the Local Community. New York, NY, USA : Praeger Publishers, 1992. 

  12. Binder, J.F., Howes, A., and Smart, D., Harmony and tension on social network sites : Side-effects of increasing online interconnectivity, Information, Communication & Society, 2012, Vol. 15, No. 9, pp. 1279-1297. 

  13. Blattberg, R.C. and Deighton, J., Interactive Marketing : Exploiting the Age of Addressability, MIT Sloan Management Review, 1991, Vol. 33, No. 1, pp. 5-14. 

  14. Blood, R., The Weblog handbook; practical advice on creating and maintaining your blog, PerseusBooksGroup, 2002, p. 76. 

  15. Bolter, J.D. and Grusin, R., Remediation Understanding New Media, MIT Press, 1999. 

  16. Bone, P.F., Word-of-Mouth Effects on short-Term and Long-Term Product Judgement, Journal of Business Research, 1995, Vol. 32, No. 3, pp. 213-223. 

  17. Borgida, E. and Nisbett, R., The different impact of abstract vs. concrete information on decision, Journal of Applied Social Psychology, 1977, Vol. 7, No. 3, pp. 258-271. 

  18. Bott, E., Urban Families : Conjugal Roles and Social Networks, in Social Networks : A Developing Paradigm, S. Leinhardt, Ed., ed New York : Academic Press, 1977, pp. 253-292. 

  19. Boyd, D.M. and Ellison, N.B., Social network sites : Definition, history, and scholarship, Journal of Computer- Mediated Communication, 2007, Vol. 13, No. 1, pp. 210-230. 

  20. Brandtzæg, P.B., Luders, M., and Skjetne, J.H., Too Many Facebook 'Friends'? Content Sharing and Sociability Versus the Need for Privacy in Social Network Sites, International Journal of Human-Computer Interaction, 2010, Vol. 26, No. 11-12, pp. 1006-1030. 

  21. Bruckman, A.S. and Resnick, M., Virtual Professional Community : Results from the MediaMOO Project, Cambridge, Massachusetts, USA : MIT Media Laboratory, 1993. 

  22. Butler, B.S., Membership Size, Communication Activity, and Sustainability : A Resource-Based Model of Online Social Structures, Information Systems Research, 2001, Vol. 12, No. 4, pp. 346-362. 

  23. Chang, S.E., Liu, A.Y., and Shen, W.C., User trust in social networking services : A comparison of Facebook and LinkedIn, Computers in Human Behavior, 2017, Vol. 69, pp. 207-217. 

  24. Chen, Q. and Wells, W.D., Attitude toward the Site, Journal of Advertising Research, 1999, Vol. 39, No. 5, pp. 27-37. 

  25. Choi, S. and Park, H.W., An exploratory approach to a Twitter-based community centered on a political goal in South Korea : Who organized it, what they shared, and how they acted, New Media & Society, 2014, Vol. 16, No.1, pp. 129-148. 

  26. Coelho, J. and Duarte, C., A literature survey on older adults' use of social network services and social applications, Computers in Human Behavior, 2016, Vol. 58, pp. 187-205. 

  27. Conway, J.C. and Rubin, A.M., Psychological predictors of television viewing motivation, Communication Research, 1991, Vol. 18, No. 4, pp. 443-463. 

  28. Cornejo, R., Tentori, M.N., and Favela, J.S., Enriching in-person encounters through social media : A study on family connectedness for the elderly, International Journal of Human-Computer Studies, 2013, Vol. 71, No. 9, pp. 889-899. 

  29. Davis, F.D., Bagozzi, R.P., and Warshaw, P.R., Extrinsic and Intrinsic Motivation to Use Computers in the Workplace, Journal of Applied Social Psychology, 1992, Vol. 22, No. 14, pp. 1111-1132. 

  30. Deuze, M., Online journalism : Modelling the first generation of new media on the world wide web, First Monday, 2001, Vol. 6, No. 10, http://firstmonday.org/ issues/issue6_10/deuze/index.html. 

  31. Ducoffe, R.H., Advertising Value and Advertising on the Web, Journal of Advertising Research, 1996, Vol. 36, No. 5, pp. 21-35. 

  32. Ducoffe, R.H., How Consumers Assess the Value of Advertising, Journal of Current Issues and Research in Advertising, 1995, Vol. 17, No. 1, pp. 1-18. 

  33. Eighmey, J., Profiling user responses to commercial web sites, Advertising Research, 1997, Vol. 37, No. 3, pp. 59-66. 

  34. Elliott, M.T. and Speck, P.S., Factors That Affect Attribute toward a Retail Web Site, Journal of Marketing Theory and Practice, 2005, Vol. 13, No. 1, pp. 40-51. 

  35. Elliott, W.R. and Rosenberg, W.L., The 1985 Philadelphia Newspaper Strike : A Uses and Gratifications Study, Journalism Quarterly, 1987, Vol. 64, No. 4, pp. 679-687. 

  36. Ellison, N.B., Gray, R., Lampe, C., and Fiore, A.T., Social capital and resource requests on Facebook, New Media & Society, 2014, Vol. 16, No. 7, pp. 1104-1121. 

  37. Fernbak, J. and Thompson, B., Virtual communities : Abort, retry, failure?, presented at the Computer-mediated Communication and the American Collectivity. [WWW] Available from : http://www.ewll.com/user.hlr/ texts/Vccicil.html [Accessed 12/09/07], Albuquerque, New Mexico, 1995. 

  38. Fiske, J., Introduction to Communication Studies, Routledge, 1990, Vol. 4, pp. 1-224. 

  39. Flanagin, A.J. and Metzger, M.J., Perceptions of Internet information credibility, Journalism & Mass Communication Quarterly, 2000, Vol. 77, No. 3, pp. 515-540. 

  40. Fornell, C. and Larcker, D.F., Evaluation structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 1981, Vol. 18, No. 1, pp. 39-50. 

  41. Gelb, B.D. and Sundaram, S., Adapting to word of mouse, Business Horizon, 2002, Vol. 45, No. 4, pp. 21-25. 

  42. Ghosh, S., Making business sense of the Internet, Harvard Business Review, 1998, Vol. 76, No. 2, pp. 126-135. 

  43. Greenberg, B.S., Gratifications of television viewing and their correlates for British children, in The uses of mass communications : Current perspectives on gratifications research, J. G. Blumler and E. Katz, Eds., ed, 1974, pp. 71-82. 

  44. Green-Hamann, S., Campbell Eichhorn, K., and Sherblom, J.C., An exploration of Why People Participate in Second Life Social Support Groups, Journal of Computer-Mediated Communication, 2011, Vol. 16, No. 4, pp. 465-491. 

  45. Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W., Multivariate data analysis, Upper Saddle River, NJ : Prentice-Hall, 1998. 

  46. Hangel, H. and Armstrong, A., Net gain :Expanding markets through virtual communities, Boston : MA : Harvard Business School Press, 1997. 

  47. Hargittai, E. and Hsieh, Y.P., Predictors and Consequences of Differentiated Practices on Social Network Sites, Information, Communication & Society, 2010, Vol. 13, No. 4, pp. 515-536. 

  48. Hargittai, E., Whose space? Differences among users and non-users of social network sites, Journal of Computer-Mediated Communication, 2007, Vol. 13, No. 1, pp. 276-297. 

  49. Haythornthwaite, C., Social networks and Internet connectivity effects, Information, Communication, & Society, 2005, Vol. 8, No. 2, pp. 125-147. 

  50. Hennig­Thurau, T., Gwinner, K.P., and Walsh, G., Electronic word-of-mouth via consumer-opinion platforms; What motivates consumers to articulate themselves on the internet, Journal of Interactive Marketing, 2004, Vol. 18, No. 1, pp. 38-52. 

  51. Hoffman, D.L. and Novak, T.P., Marketing in Hypermedia Computer Mediated Environment : Conceptual Foundations, Journal of Marketing, 1996, Vol. 60, No. 3, pp. 50-58. 

  52. Huang, L.Y., Hsieh, Y.J., and Wu, Y.C.J., Gratifications and social network service usage : The mediating role of online experience, Information & Management, 2014, Vol. 51, No. 6, pp. 774-782. 

  53. Igbaria, M., Schiffman, S.J., and Wieckowski, T.J., The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology, Behavior & Information Technology, 1994, Vol. 13, No. 6, pp. 349-361. 

  54. Imlawi, J. and Gregg, D., Engagement in Online Social Networks : The Impact of Self-Disclosure and Humor, International Journal of Human-Computer Interaction, 2014, Vol. 30, No. 2, pp. 106-125. 

  55. Jang, D.R., Positioning effect of Internet advertising, Korea Advertisement Research, 1998, Vol. 14, No. 1, pp. 425-444. 

  56. Janssen, J.H., Ijsselsteijn, W.A., and Westerink, J.H.D.M., How affective technologies can influence intimate interactions and improve social connectedness, International Journal of Human-Computer Studies, 2014, Vol. 72, No. 1, pp. 33-43. 

  57. Katz, E., Haas, H., and Gurevitch, M., On the use of the mass media for important things, American Sociological Review, 1973, Vol. 38, No. 2, pp. 164-181. 

  58. Kaye, B.K., It's a blog, blog, blog world : Users and uses of weblogs, Atlantic Journal of Communication, 2005, Vol. 13, No. 2, pp. 73-95. 

  59. Kempe, D., Kleinberg, J., and Tardos, E., Maximizing the spread of influence through a social network, presented at the International conference on knowledge discovery and data mining, pp. 137-146, New York, NY, 2003. 

  60. Kim, C.S., Development of e-Service Quality Models for Mobile SNS Platform Analysis, Journal of Society of Korea Industrial and Systems Engineering, 2014, Vol. 37, No. 4, pp. 90-97. 

  61. Kim, M.J., The PR Effect of Company's Hompage, Chung Ang University, Seoul, Korea, 2005. 

  62. Kim, M.K. and Kim, K.K., On the PR Effects of Government Homepages, Korean Journal of Journalism & Communication Studies, 2000, Vol. 45, No. 1, pp. 33-60. 

  63. Kim, S.Y., A study on the motivation and satisfaction factors for blog users among housewives, Hongik University, Seoul, Korea, 2009. 

  64. Ko, S.-M., Hwang, B.-H. and Ji, Y.-G., A Study on Social Network Service and Online Social Capital : Focusing on a Korean and Chinese Case, Society for e-business Studies, 2010, Vol. 15, No. 1, pp. 103-118. 

  65. Korgaonkar, P.K. and Wolin, L.D., A Multivariate Analysis of Web Usage, Journal of Advertising Research, 1999, Vol. 39, No. 2, pp. 53-68. 

  66. Kwon, O. and Wen, Y., An empirical study of the factors affecting social network service use, Computers in Human Behavior, 2010, Vol. 26, No. 2, pp. 254-263. 

  67. Lamp, C., Ellison, N., and Steinfield, C., A face(book) in the cyworld : social searching vs. social browsing, presented at the Proceedings of the 2006 20th anniverasary conference on Computer supported cooperative work, 2005. 

  68. Lee, H, Park, H., and Kim, J., Why do people share their context information on Social Network Services? A quantitative study and an experimental study on users' behavior of balancing perceived benefit and risk, International Journal of Human-Computer Studies, 2013, Vol. 71, No. 9, pp. 862-877. 

  69. Lee, H.R., A Study on the effects of Hotel Brand Blog Characteristics on the Blog Flow, Department of Hotel Management, [Seoul, Korea] : Kyonggi University, 2009. 

  70. Lee, O., Li, J.-B., Jee, M.-K., and Ahn, J.-C., A Study on the factors of SNS information influencing consumers' purchasing intention : focusing on Chinese Weibo, Journal of the Korea Academia-Industrial cooperation Society, 2017, Vol. 18, No. 7, pp. 92-101. 

  71. Lee, R.J., Consumer's Attitude on type of web site advertising & age group, [Seoul, Korea] : Chung Ang University, 2001. 

  72. Lee, S.H., Ahn, J.H., and Jahng, J.J., The Effect of Perceived Interactivity's Mediator Role on Mobile Contents Users' Attitude and Behavioral Intention, Asia Pacific Journal of Information Systems, 2006, Vol. 16, No. 3, pp. 205-227. 

  73. Lim, M. and Yang, Y., Effects of users' envy and shame on social comparison that occurs on social network services, Computers in Human Behavior, 2015, Vol. 51, pp. 300-311. 

  74. Morris, M. and Ogan, C., The Internet as mass medium, Journal of Computer-Mediated Communication, 1996, Vol. 1, No. 4, pp. 39-50. 

  75. Nardi, B.A., Schiano, D.J., Gumbrecht, M., and Swartz, L., Why we blog, Communications of the ACM, 2004, Vol. 47, No. 12, pp. 41-46. 

  76. Newhagen, J. and Rafaeli, S., Why communication researchers should study the Internet : A dialogue, Journal of Communication, 1996, Vol. 46, No. 1, pp. 4-13. 

  77. Nikou, S. and Bouwman, H., Ubiquitous use of mobile social network services, Telematics and Informatics, 2014, Vol. 31, No. 3, pp. 422-433. 

  78. Oksman, V. and Turtianen, J., Mobile communication as a social stage : Meaning of mobile communication in everyday life among teenagers in Finland, New Media & Society, 2004, Vol. 6, No. 3, pp. 319-339. 

  79. Papacharissi, Z. and Rubin, A.M., Predictors of Internet Use, Journal of Broadcasting & Electronic Media, 2000, Vol. 44, No. 2, pp. 175-196. 

  80. Papacharissi, Z., The self online : The utility of personal home pages, Journal of Broadcasting & Electronic Media, 2002, Vol. 46, No. 3, pp. 346-368. 

  81. Parker, B.J. and Plank, R.E., Uses and Gratifications Perspective on the Internet as a New Information Source, American Business Review, 2000, Vol. 18, No. 2, pp. 43-49. 

  82. Patrick, F., Media characteristics and online learning technology, 2004. 

  83. Pempek, T.A., Yermolayeva, Y.A., and Calvert, S.L., College students' social networking experiences on Facebook, Journal of Applied Developmental Psychology, 2009, Vol. 30, No. 3, pp. 227-238. 

  84. Preece, J., Sociability and usability in online communities : Determining and measuring success, Behavior and Information Technology, 2001, Vol. 20, No. 5, pp. 347-356. 

  85. Rafaeli, S. and Sudweeks, F., Networked Interactivity, Journal of Computer-Mediated Communication, 1997, Vol. 2, No. 4. 

  86. Rafaeli, S., Interaction with media : Parasocial interaction and real interaction, In B.D. Ruben & L.A. Lievrouw (Eds.), Information and Behavior, 3, (pp. 125-181), New Brunswick, NJ : Transaction Books, 1990. 

  87. Rafaeli, S., Interactivity : From new media to communication, Sage Annual Review of Communication Research : Advancing Communication Science, 1988, Vol. 16, pp. 110-134. 

  88. Rafaeli, S., The electronic bulletin board : A computerdriven mass medium, Computers and the Social Sciences, 1984, Vol. 2, No. 3, pp. 123-136. 

  89. Rathore, S., Sharma, P.K., Loia, V., Jeong, Y.S., and Park, J.H., Social network security : Issues, challenges, threats, and solutions, Information Sciences, 2017, Vol. 421, pp. 43-69. 

  90. Reardon, K.K. and Rogers, E.M., Interpersonal versus mass media communication : A false dichotomy, Human Communication Research, 1988, Vol. 15, No. 2, pp. 284-303. 

  91. Rheingold, H., The Virtual Community : Homesteading on the Electronic Frontier : Massachusetts : Addison-Wesley, 1993. 

  92. Rice, R.E., Grant, A.E., Schmitz, J., and Torobin J., Individual and network influences on the adoption and perceived outcomes of electronic messaging, Social Networks, 1990, Vol. 12, No. 1, pp. 27-55. 

  93. Riedl, C., Kobler, F., Goswami, S., and Krcmar, H., Tweeting to Feel Connected : A Model for Social Connectedness in Online Social Networks, International Journal of Human-Computer Interaction, 2013, Vol. 29, No. 10, pp. 670-687. 

  94. Rothaermel, F.T. and Sugiyama, S., Virtual internet communities and commercial success : Individual and community-level theory grounded in the a typical case of timezone.com, Journal of Management, 2001, Vol. 27, No. 3, pp. 297-312. 

  95. Rubin, A.M., A multivariate analysis of 60 Minutes viewing motivations, Journalism Quarterly, 1981, Vol. 58, No. 4, pp. 529-534. 

  96. Sanyukta Kesharwani, Business Communication : Essential Strategies for 21st Century Managers, Vikas Publishing House, 2014. 

  97. Sekaran, U., Research methods for business : A skillbuilding approach NY : Wiley, 2003. 

  98. Seo, Y.D., Kim, Y.G., Lee, E., and Baik, D.K., Personalized recommender system based on friendship strength in social network services, Expert Systems with Applications, 2017, Vol. 69, pp. 135-148. 

  99. Smith, G., Social software building blocks. Available : , 2007. 

  100. Subrahmanyam, K., Reich, S.M., Waechter, N., and Espinoza, G., Online and offline social networks : Use of social networking sites by emerging adults, Journal of Applied Developmental Psychology, 2008, Vol. 29, No. 6, pp. 420-433. 

  101. Teo, T.S.H., Lim, V.K.G., and Lai, R.Y.C., Intrinsic and extrinsic motivation in Internet usage, Omega, 1999, Vol. 27, No. 1, pp. 25-37. 

  102. Turner, J.C., Rediscovering the Social Group : A selfcategorization Theory. New York, NY : Blackwell, 1987. 

  103. Vasalou, A., Joinson, A.N., and Courvoisier, D., Cultural differences, experience with social networks and the nature of true commitment in Facebook, International Journal of Human-Computer Studies, 2010, Vol. 68, No. 10, pp. 719-728. 

  104. Walther, J.B., Gay, G., and Hancock, J.T., How Do Communication and Technology Researchers Study the Internet?, Journal of Communication, 2005, Vol. 55, No. 3, pp. 632-657. 

  105. Wu, J.J. and Chang, Y.S., Towards Understanding Member's Interactivity, Trust and Flow in Online Travel Community, Industrial Management & Data System, 2005, Vol. 105, No. 7, pp. 937-954. 

  106. Yang, K.C.C., Factors influencing Internet users' perceived credibility of news-related blogs in Taiwan, Telematics and Informatics, 2007, Vol. 24, No. 2, pp. 69-85. 

  107. Yang, S.J.H. and Chen, I.Y.L., A social network-based system for supporting interactive collaboration in knowledge sharing over peer-to-peer network, International Journal of Human-Computer Studies, 2008, Vol. 66, No. 1, pp. 36-50. 

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