Self-Disclosure Behavior on Social Networking Web Sites

References

• Ajzen, I. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 2 (1991), 179–211.
   Web of Science ®Google Scholar
• Altman, I., and Taylor, D. Social Penetration: The Development of Interpersonal Relationships. New York: Holt, 1973.
   Google Scholar
• Amichai-Hamburger, Y., and Vinitzky, G. Social network use and personality. Computers in Human Behavior, 26, 6 (2010), 1289–1295.
   Web of Science ®Google Scholar
• Amichai-Hamburger, Y.; Wainpel, G.; and Fox, S. On the Internet no one knows i’m an introvert: Extroversion, introversion, and Internet interaction. CyberPsychology and Behavior, 5, 2 (2002), 125–128.
   Google Scholar
• Amiel, T., and Sargent, S.L. Individual differences in Internet usage motives. Computers in Human Behavior, 20, 6 (2004), 711–726.
   Google Scholar
• Ashton, M.C., and Lee, K. A theoretical basis for the majority dimensions of personality. European Journal of Personality, 15, 5 (2001), 327–353.
   Web of Science ®Google Scholar
• Bhatnagar, A.; Misra, S.; and Rao, H.R. On risk, convenience, and internet shopping behavior. Communications of the ACM, 43, 11 (2000), 98–105.
   Web of Science ®Google Scholar
• Boyd, D.M., and Ellison, N.B. Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13, 1 (2007), 210–230.
   Web of Science ®Google Scholar
• Canon, H.M. A new method for estimating the effect of media context—Using value profiles of ads. Journal of Advertising Research, 22, 5 (1982), 41–47.
   Google Scholar
• Cenfetelli, R.T., and Bassellier, G. Interpretation of formative measurement in Information Systems Research. MIS Quarterly, 33, 4 (2009), 689–707.
   Web of Science ®Google Scholar
• Chang, A.; Hsieh, S.H.; and Lin, F. Personality traits that lead members of online brand communities to participate in information sending and receiving. International Journal of Electronic Commerce, 17, 3 (2013), 37–62.
   Google Scholar
• Chin, W.W. The partial least squares approach to structural equation modeling. In G.A. Marcoulides (ed.), Modern Methods for Business Research. Mahwah, NJ: Lawrence Erlbaum, pp. 295–336.
   Google Scholar
• Clore, G.L., and Schnall, S. The influence of affect on attitude. In D. Albarracin, B.T. Johnson, and M.P. Zanna (eds.), The Handbook of Attitudes Mahwah, NJ: Lawrence Erbaum, pp. 437–489.
   Google Scholar
• Costa, P.T., and McCrae, R.R. Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) Professional Manua1. Odessa, FL: Psychological Assessement Resources, 1992.
   Google Scholar
• Devaraj, S.; Easley, R.; and Crant, M. How. Informaiton does personality matter? Relating the five-factor model to technology and acceptance usage. Systems Research, 19, 1 (2008), 93–105.
   Google Scholar
• Diamantopoulos, A., and Siguaw, J.A. Formative vs. reflective indicators in measure development: Does the choice of indicators matter? British Journal of Management, 17, 263–282 (2006).
   Web of Science ®Google Scholar
• Digman, J.M., Higher-order factors of the big five. Journal of Personality and Social Psychology, 73, 6 (1997), 1246–1256.
   Google Scholar
• Drossos, D.A.; Giaglis, G.M.; Vlachos, P.A.; Zamani, E.D.; and Lekakos, G. Consumer responses to SMS advertising: Antecedents and consequences. International Journal of Electronic Commerce, 18, 1 (fall 2013), 105–136.
   Web of Science ®Google Scholar
• Eysenck, H.J. Dimensions of Personality. New York: Praeger, 1947.
   Google Scholar
• Forest, A.L., and Wood, J.V. When social networking is not working: Individuals with low self-esteem recognize but do not reap the benefits of self-disclosure on Facebook. Psychological Science, 23, 3 (2012), 298–302.
   Google Scholar
• Forgas, J.P., and George, J.M. Affective influences on judgments and behavior in organizations: An information processing perspective. Organizational Behavior & Human Decision Processes, 86, 1 (2001), 3–34.
   Google Scholar
• Fornell, C., and Bookstein, F.L. A comparative analysis of two structural equation models: LISREL and PLS applied to market data. In C. Fornell (ed.), A Second Generation of Multivariate Analysis. New York: Praeger, 1982, pp. 289–324.
   Google Scholar
• Fornell, C., and Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 1 (1981), 39–50
   Web of Science ®Google Scholar
• Gefen, D., E-commerce: The role of familiarity and trust. Omega: The International Journal of Management Science, 28, 6 (2000), 725–737.
   Google Scholar
• Gefen, D.; Benbasat, I.; and Pavlou, P. A research agenda for trust in online environments. Journal of Management Information Systems, 24, 4 (2008), 275–286.
   Web of Science ®Google Scholar
• Göritz, A.S. The induction of mood via the WWW. Motivation and Emotion, 31, 1 (2007), 35–47.
   Google Scholar
• Grazioli, S., and Jarvenpaa, S. Perils of Internet fraud: An empirical investigation of deception and trust with experienced Internet consumers. IEEE Transactions on Systems, Man, and Cybernetics, 30, 4 (2000), 395–410.
   Google Scholar
• Gruber, J. (ed.). Risky Behavior among Youths: An Economic Analysis. Chicago: University of Chicago Press, 2009.
   Google Scholar
• Guadagno, R.E.; Okdie, B.M.; and Eno, C.A. Who blogs? Personality predictors of blogging. Computers in Human Behavior, 24, (2008), 1993–2004.
   Web of Science ®Google Scholar
• Guilford, J.P. Factors and factors of personality. Psychological Bulletin, 82, 5 (1975), 802–814.
   PubMed Web of Science ®Google Scholar
• Hamburger, Y.A., and Ben-Artzi, E. The relationship between extraversion and neuroticism and the different uses of the Internet. Computers in Human Behavior, 16, (2000), 441–449.
   Web of Science ®Google Scholar
• Hampton, K.N.; Goulet, L.S.; Rainie, L.; and Purcell, K. Social Networking Sites and Our Lives. 2011.
   Google Scholar
• Henseler, J., and Fassott, G. Testing moderating effects in PLS path models: An illustration of available procedures. In V.E. Vinzi et al. (eds.), Handbook of Partial Least Squares. Berlin: Springer, pp. 713–735.
   Google Scholar
• Hogan, R. Hogan Personality Inventory. Minneapolis, MN: National Computer Systems, 1986.
   Google Scholar
• Infante, D.A.; Rancer, A.S.; and Womack, D.F. Building Communication Theory, 4th ed. Long Grove, IL: Waveland Press, 2003.
   Google Scholar
• Isen, A.M, Some ways in which positive affect influences decision making and problem solving. In M. Lewis (ed.), Handbook of Emotions. New York: Guilford, 2008, pp. 548–586.
   Google Scholar
• Isen, A.M., and Reeve, J. The Influence of positive affect on intrinsic and extrinsic motivation: Facilitating enjoyment of play, responsible work behavior, and self-control. Motivation and Emotion, 29, 4 (2005), 297–325.
   Google Scholar
• Jacoby, J., and Kaplan, L.B. The components of perceived risk. In College Park, Association for Consumer Research, 1972.
   Google Scholar
• Jarvis, C.B.; M. S.B, and Podsakoff, P.M. A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30, 2 (2003), 199–218.
   Google Scholar
• Jiang, L.C.; Bazarova, N.N.; and Hancock, J.T. From perception to behavior: Disclosure reciprocity and the intensification of intimacy in computer-mediated communication. Communication Research, 40, 1 (2013), 125–143.
   Google Scholar
• Joinson, A., Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity. European Journal of Social Psychology, 31, 2 (2001), 177–192.
   Google Scholar
• Kim, D.J., Self-perception-based versus transference-based trust determinants in computer-mediated transactions: A cross-cultural comparison study. Journal of Management Information Systems, 24, 4 (spring 2008), 13–45.
   Web of Science ®Google Scholar
• Kim, D.J.; Ferrin, D.L.; and Rao, H.R. A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 2 (2008), 544–564.
   Web of Science ®Google Scholar
• Kim, D.J.; Ferrin, D.L.; and Rao, H.R. Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration. Information Systems Research, 20, 2 (2009), 237.
   Web of Science ®Google Scholar
• Landers, R.N., and Lounsbury, J.W. An investigation of big five and narrow personality traits in relation to Internet usage. Computers in Human Behavior, 22, (2006), 283–293.
   Web of Science ®Google Scholar
• Lee, K.; Noh, M.; andKoo, D. Lonely people are no longer lonely on social networking sites: The mediating role of self-disclosure and social support. Cyberpsychology, Behavior, and Social Networking, 16, 6 (2013), 413–418.
   PubMed Web of Science ®Google Scholar
• Lenhart, A.; Purcell, K.; Smith, A.; and Zickuhr, K. Social Media & Mobile Internet Use Among Teens and Young Adults. 2010.
   Google Scholar
• Liang, T.-P.; Ho, Y.-T.; Li, Y.-W.; and Turban, E. What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16, 2 (winter 2011–12), 69–90.
   Web of Science ®Google Scholar
• Liu, B., and Goodhue, D. Two worlds of trust for potential e-commerce users: Humans as cognitive misers. Management Information Systems Quarterly, 23, 4 (2012), 1246–1262
   Google Scholar
• Madden, M., and Zickuhr, K. 65% of Online Adults Use Social Networking Sites (2011).
   Google Scholar
• McCrae, R.R., and John, O.P. An introduction to the five-factor model and its applications. Journal of Personality, 60, 2 (1992), 175–215.
   PubMed Web of Science ®Google Scholar
• McDougall, W. Of the words character and personality. Character Personality, 1, 1 (1932), 3–16.
   Google Scholar
• McElroy, J.; Hendrickson, A.; Townsend, A.; and DeMarie, S. Dispositional factors in Internet use: Personality versus cognitive style. MIS Quarterly, 31, 4 (2007), 809–820.
   Google Scholar
• McKenna, K.Y.A., and Bargh, J.A. Plan 9 from cyberspace: The implications of the Internet for personality and social psychology. Personality and Social Psychology Review, 4, 1 (2000), 57–75.
   Web of Science ®Google Scholar
• McKenna, K.Y.A.; Green, A.S.; and Gleason, M.E.J. Relationship Formation on the Internet: What’s the Big Attraction? Journal of Social Issues, 58, (2002), 9–31.
   Web of Science ®Google Scholar
• McKnight, D.H.; Choudhury, V.; and Kacmar, C. The impact of initial consumer trust on intentions to transact with a Web site: A trust building model. Strategic Information Systems, 11, 3–4 (2002), 297–323.
   Web of Science ®Google Scholar
• McKnight, D.H.; Cummings, L.L.; and Chervany, N.L. Initial trust formation in new organizational relationships. Academy of Management Review, 23, (1998), 473–490.
   Web of Science ®Google Scholar
• Mills, C. Social network numbers. 2012.
   Google Scholar
• Moore, G.C., and Benbasat, I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, 3 (1991), 173–191.
   Google Scholar
• Moore, K., and McElroy, J.C. The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28, (2012), 267–274.
   Web of Science ®Google Scholar
• Nicolaou, A.I., and McKnight, D.H. Perceived information quality in data exchanges: Effects on risk, trust, and intention to use. Information Systems Research, 17, 4 (2006), 332.
   Web of Science ®Google Scholar
• Norman, W.T. Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. Journal of Abnormal Psychology, 66, (1963), 574–583.
   PubMed Web of Science ®Google Scholar
• Nunnally, J.C., and Bernstein, I.H. Psychometric Theory, 3rd ed. New York: McGraw-Hill, 1994.
   Google Scholar
• Paine, C.; Reips, U.-D.; Stieger, S.; Joinson, A.; and Buchanan, T. Internet users’ perceptions of ‘privacy concerns’ and ‘privacy actions.’ International Journal of Human-Computer Studies, 65, (2007), 526–536.
   Google Scholar
• Pavlou, P.A. Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7, 3 (spring 2003), 101–134.
   Web of Science ®Google Scholar
• Pavlou, P.A., and Fygenson, M. Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30, 1 (March 2006), 115–143.
   Web of Science ®Google Scholar
• Pentina, I.; Gammoh, B.S.; Zhang, L.; and Mallin, M. Drivers and outcomes of brand relationship quality in the context of online social networks. International Journal of Electronic Commerce, 17, 3 (spring 2013), 63–86.
   Web of Science ®Google Scholar
• Petter, S.; Straub, D.; and Rai, A. Specifying formative constracts in information systems research. MIS Quarterly, 31, 4 (2007), 623–656.
   Web of Science ®Google Scholar
• Premazzi, K.; Castaldo, S.; Grosso, M.; Raman, P.; Brudvig, S.; and Hofacker, C.F. Customer information sharing with e-vendors: The roles of incentives and trust. International Journal of Electronic Commerce, 14, 3 (spring 2010), 63–91.
   Web of Science ®Google Scholar
• Purcell, K. Search and Email Still Top the List of Most Popular Online Activities. 2011.
   Google Scholar
• Rainie, L.; Smith, A.; and Duggan, M. Coming and Going on Facebook, February 5, 2013. Pew Research Center’s Internet & American Life Project,http://pewinternet.org/Reports/2013/Coming-and-going-on-facebook.aspx.
   Google Scholar
• Rapaport, L., and Womack, B. Facebook Drops on Advertising Sales Growth Concern at BMO. 2012.
   Google Scholar
• Rosenblum, D.S. What anyone can know: The privacy risks of social networking sites. IEEE Security & Privacy, 5, 3 (2007), 40–49.
   Google Scholar
• Ross, C.; Orr, E.S.; Sisic, M.; Arseneault, M.J.; Simmering, M.G.; and Orr, R.R. Personality and motivations associated with Facebook use. Computers in Human Behavior, 25, 2 (2009), 578–586.
   Google Scholar
• Rousseau, D.M.; Sitkin, S.B.; Burt, R.S.; and Camerer, C. Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23, 3 (1998), 393–404.
   Google Scholar
• Schlereth, C.; Barrot, C.; Skiera, B.; and Takac, C. Optimal Product-Sampling Strategies in Social Networks: How Many and Whom to Target? International Journal of Electronic Commerce, 18, 1 (2013), 45–72.
   Web of Science ®Google Scholar
• Son, J.Y.; Narasimhan, S.; and Riggins, F.J. Effects of Relational Factors and Channel Climate on EDI Usage in the Customer-supplier Relationship. Journal of Management Information Systems, 22, 1 (summer 2005), 321–354.
   Web of Science ®Google Scholar
• Straub, D.; Boudreau, M.C.; and Gefen, D. Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 14, (2004), 380–426.
   Google Scholar
• Swickert, R.J.; Hittner, J.B.; Harris, J.L.; and Herring, J.A. Relationships among Internet use, personality, and social support. Computers in Human Behavior, 18, 4 (2002), 437–451.
   Google Scholar
• Tellegen, A. Structures of mood and personality and their relevance to assessing anxiety with an emphasis on self-report. In A. Tuma and J. Maser (eds.), Anxiety and the Anxiety Disorders. Hillsdale, NJ: Erlbaum, 1985.
   Google Scholar
• Trepte, S., and Reincecke, L. The reciprocal effects of social network site use and the disposition for self-disclosure: A longitudinal study. Computers in Human Behavior, 29, 3 (2013), 11020–1112.
   Google Scholar
• Tufekci, Z. Can you see me now? Audience and disclosure management in online social network sites. Bulletin of Science and Technology Studies, 11, 4 (2008), 544–564.
   Google Scholar
• Urbach, N., and Ahlemann, F. Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11, 2 (2010), 5–40.
   Google Scholar
• Wehrli, S. Personality on social network sites: An application of the five factor model. ETH Zurich Sociology Working Paper ETH Zurich, 2008.
   Google Scholar
• Wilson, K.; Fornasier, S.; and White, K.M. Psychological predictors of young adults’ use of social networking sites. Cyberpsychology, Behavor, and Social Networking, 13, 2 (2010), 173–177.
   Google Scholar
• Yoo, C.Y. Unconscious processing of Web advertising: Effects on implicit memory, attitude toward the brand, and consideration set. Journal of Interactive Marketing, 22, 2 (spring 2008).
   Google Scholar
• Zhao, L.; Lu, Y.; and Gupta, S. Information in Location-Based Social Network Services. international Journal of Electronic Commerce, 16, 4 (summer 2012), 53–90.
   Google Scholar