Proposing the online community self-disclosure model: the case of working professionals in France and in the U.K. who use online communities.

Référence :
Posey, C., Lowry, P.B., Roberts, T.L. & Selwyn Ellis, T. (2010). Proposing the online community self-disclosure model: the case of working professionals in France and in the U.K. who use online communities. European Journal of Information Systems, 19, 181-195

page1image3568

Idée / dominante :

Les théories de l’échange social (SET) et de la pénétration sociale (SPT) ne suffisent pas à expliquer la propension des individus à livrer des informations personnelles les concernant sur les communautés en ligne (plus particulièrement MySpace et Facebook). Certains de ces comportements sont drivés par la culture. L’étude se concentre sur une comparaison entre les utilisateurs de tels sites en France et au Royaume-Uni.page1image8656 page1image9664

Résumé :

Pour les entreprises, les réseaux sociaux et autres communautés en ligne représentent une source idéale pour la recherche marketing (Kozinets 2002), mais sont également un moyen de palier à la réticence des individus à dévoiler des informations personnelles via le marketing traditionnel (Robertshaw & Marr 2006), un moyen de créer des interactions entre la marque et le client (Im et al. 2008) et un levier pour augmenter la demande (Miller et al. 2009). Pourquoi les internautes partagent/retiennent des informations sur les communautés online ? D’un point de vue utilitariste, l’intention des individus d’utiliser et de continuer à utiliser ces sites est basée sur l’utilité, et sur la facilité d’utilisation. Toutefois, le partage d’informations renvoie à des motivations beaucoup plus sociales, incluant certaines différences culturelles. Ainsi, les auteurs se sont basés sur la théorie de l’échange social (les individus s’engagent dans une relation lorsque le coût perçu est moins important que le bénéfice escompté – focus sur les relations), et sur la théorie de la pénétration sociale qui la complète (pour maximiser la relation, l’individu se dévoilé. La réciprocité en est le premier bénéfice, tandis que le coût est le risque que cela suppose – focus sur le partage d’informations). Les auteurs cherchent ainsi à utiliser les deux lois pour comprendre, ce qui impacte le « self-disclosure » (comprenant les notions de quantité (fréquence et durée), d’intention (contrôle sur les informations dévoilées), de profondeur (degré de sensibilité), d’honnêteté et de valence (valeur positive de l’information)), en regardant également les paramètres socio-culturels qui, selon eux, jouent un rôle prépondérant dans l’attitude des internautes, outre le calcul coûts/bénéfices.

En termes de méthodologie, les auteurs ont fait le choix d’interroger 529 professionnels (263 en France / 266 en GB) utilisant au moins occasionnellement des communautés en ligne (choix délibéré de ne pas cibler des étudiants comme la plupart des études). L’âge moyen des participants était de 36 ans en GB, et de 33, 6 ans en France).

Principaux résultats : l’influence sociale (degré d’influence des croyances, attitudes et comportements des autres personnes de son environnement (Deutsch & Gerard 1955)), la réciprocité, et la confiance en la communauté en ligne impactent positivement le « self-disclosure ». Le collectivisme social (intégration de l’individu de façon cohésive dans un groupe qui le protège en échange de sa fidélité) a également un ipact positif sur le « self-disclosure » Cette propension à diffuser des informations personnelles est cependant impactée négativement par les risques perçus pour la « privacy ».

D’un point de vue plus « culturaliste », il est apparu que le modèle français était plus marqué par l’influence sociale suggérée par l ‘utilisation de communautés online, et que la réciprocité en était le premier facteur. Du côté anglais, ce sont les risques pour la « privacy » et la confiance en le site qui ont une influence pus grande. Cela suggère qu’il pourrait y avoir de grandes différences sur le type d’informations dévoilées.

page1image34248

Notes d’intérêt pour la recherche en cours :

Détails de la SET et de la SPT, introduction du fait culturel poussant les internautes à échanger de façon différente, va plus loin de que le traditionnel calcul coûts/bénéfices pour expliquer les raisons poussant un individu à « se livrer » sur des sites internet.

Ce qui n’a pas été abordé : Influence du sexe dans la disposition à livrer des informations personnelles sur les communautés en ligne. L’article se concentre sur les motivations sociales, il faudrait creuser ce qui touche au « design » de tels sites pour mesurer les notions de confiance, de fiabilité, mais aussi pour mesurer l’impact sur les informations dévoilées… En effet, d’après l’article, un design plus intrusif serait efficace pour inciter les individus à retirer des « couches de leur oignon » (cf. Altman & Taylor 1973)

Références :

Ajzen, I. (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Altman, I. and Taylor D. (1973) Social Penetration: The Development of Interpersonal Relationships. Holt, Rinehart & Winston, New York.

Altman, I., Vinsel, A. and Brown, B. (1981) Dialectic conceptions in social psychology: an application to social penetration and privacy regula- tion. Advances in Experimental Social Psychology, 14(1981), 107–160.

Awad, N.F. and Krishnan, M.D. (2006) The personalization privacy paradox: an empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quarterly 30(1), 13–28.

Ba, S.L. and Pavlou, P.A. (2002) Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior. MIS Quarterly 26(3), 243–268.

Bandura, A. (1977) Social Learning Theory. Prentice-Hall, Englewood Cliffs.

Barak, A. and Gluck-Ofri, O. (2007) Degree and reciprocity of self- disclosure in online forums. CyberPsychology & Behavior, 10(3),407–417.

Bernoff, J. and Li, C. (2008) Harnessing the power of the oh-so-social web.MIT Sloan Management Review, 49(3), 36–42.

Chang Lee, K. and Kwon, S. (2008) A cognitive map-driven avatar designrecommendation DSS and its empirical validity. Decision SupportSystems, 45(3), 461–472.

Chin, W.W., Marcolin, B.L. and Newsted, P.R. (2003) A partial least squareslatent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217.

Chiu, C.M., Hsu, M.H. and Wang, E.T.G. (2006) Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories. Decision Support Systems, 42(3), 1872–1888.

Cialdini, R.B. (2001) Influence: Science and Practice, 4th edn, Allyn & Bacon, Boston.

Connolly, T. and Jessup, L.M. (1990) Effects of anonymity and evaluative tone on idea generation in computer-mediated groups. Management Science, 36(6), 689–703.

Cook, S. (2008) The contribution revolution: letting volunteers build your business. Harvard Business Review, 86(10), 60–66.

Davis, F.D. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

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(8), 982–1003.

Debalgo-Ballester, E. and Hernández-Espallardo, M. (2008) Effect of brandassociations on consumer reactions to unknown on-line brands.International Journal of Electronic Commerce, 12(3), 81–113.

Derlega, V.J., Metts, S., Petronio,S. and Margulis, S.T. (1993) Self-Disclosure.Sage Publications, Newbury Park.

Deutsch, M. and Gerard, H.B. (1955) A study of normative and informationsocial influences upon individual judgment. Journal of Abnormal andSocial Psychology, 51(3), 629–636.

Dietz-Uhler, B., Bishop-Clark, C. and Howard, E. (2005) Formation of andadherence to a self-disclosure norm in an online chat. CyberPsychology& Behavior, 8(2), 114–120.

Ellison, N.B., Steinfield, C. and Lampe, C. (2007) The benefits of facebook‘friends’: social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168.

Emmert, P. and Donaghy, W.C. (1981) Human Communication: Elements and Contexts. Addison-Wesley Publishing Company, Reading, MA.

Fishbein M and Ajzen I (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading, MA.

Forman, C., Ghose, A. and Wiesenfeld, B. (2008) Examining the relationshipbetween reviews and sales: the role of reviewer identity disclosure in electronic markets. Information Systems Research, 19(3), 291–313.

Gefen, D., Karahanna, E. and Straub, D.W. (2003) Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27(1), 51–90.

Gefen, D. and Ridings, C.M. (2002) Implementation team responsiveness and user evaluation of customer relationship management: a quasi- experimental design study of social exchange theory. Journal of Management Information Systems, 19(1), 47–69.

Gefen, D. and Straub, D.W. (2005) A practical guide to factorial validity using PLS-Graph: tutorial and annotated example. Communications of the AIS, 16(5), 91–109.

Greenberg, M.A. and Stone, A.A. (1992) Emotional disclosure about traumas and its relation to health: effects of previous disclosure and trauma severity. Journal of Personality and Social Psychology, 63(1), 75–84.

Gudykunst, W.B. and Nishida, T. (1986) The influence of cultural variability on perceptions of communication behavior associated with relation- ship terms. Human Communication Research 13(2), 147–166.

Hargittai, E. (2007) Whose space? Differences among users and non-users of social network sites. Journal of Computer-Mediated Communication, 13(1), 276–297.

Hensley, W.E. (1996) A theory of the valenced other: the intersection of the looking-glass self and social penetration. Social Behavior and Personality, 24(3), 293–308.

Hofstede, G. (1991) Cultures and Organizations: Software of the Mind. McGraw-Hill Book Company Europe, Berkshire, England.

Horenstein, V.D.P. and Downey, J.L. (2003) A cross-cultural investigation of self-disclosure. North American Journal of Psychology, 5(3), 373–386.

Husted, B. and Allen, D. (2008) Toward a model of cross-cultural businessethics: the impact of individualism and collectivism on the ethicaldecision-making process. Journal of Business Ethics, 82(2), 293–305.

Im, S., Lee, D.H., Taylor, C.R., and D’Orazio, C. (2008) The influence of consumer self-disclosure on web sites on advertising response. Journalof Interactive Advertising, 9(1), 87–106.

Ishii, K. and Ogasahara, M. (2007) Links between real and virtual networks:a comparative study of online communities in Japan and Korea.CyberPsychology & Behavior, 10(2), 252–257.

Jarvenpaa, S.L. and Staples, D.S. (2001) Exploring perceptions of organizational ownership of information and expertise. Journal of ManagementInformation Systems, 18(1), 151–183.

Jarvenpaa, S.L. and Tractinsky, N. (1999) Consumer trust in an internetstore: a cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), 1–35.

Jourard, S. (1971) Self-Disclosure: An Experimental Analysis of theTransparent Self. Wiley & Sons, Inc., New York.

Kankanhalli, A., Tan, B.C.Y. and Wei, K.K. (2005) Contributing knowledge toelectronic knowledge repositories: an empirical investigation. MISQuarterly, 29(1), 113–144.

Karahanna, E., Evaristo, R. and Strite, M. (2002) Methodological issues inMIS cross-cultural research. Journal of Global Information Management,10(1), 48–55.

Ko, H.C. and Kuo, F.Y. (2009) Can blogging enhance subjective well-beingthrough self-disclosure? CyberPsychology & Behavior, 12(1), 75–79.

Kozinets, R.V. (2002) The field behind the screen: using netnography for marketing research in online communities. Journal of MarketingResearch, 39(1), 61–72.

Lea, M., Spears, R., and De Groot., D. (2001) Knowing me, knowing you:anonymity effects on social identity processes within groups.Personality and Social Psychology Bulletin, 27(5), 526–537.

Lee, J. (2001) The impact of knowledge sharing, organizational capability and partnership quality on IS outsourcing success. Information &Management, 38(5), 323–335.

Lowry, P.B., Romano, N.C., Jenkins, J.L. and Guthrie, R.W. (2009) The CMCinteractivity model: how interactivity enhances communication quality and satisfaction in lean-media groups. Journal of Management Information Systems, 26(1), 155–195.

Lowry, P.B., Vance, A., Moody, G., Beckman, B. and Read, A. (2008) Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of e-commerce web sites. Journal of Management Information Systems, 24(4), 199–224.

Lowry, P.B., Zhang, D., Zhou, L. and Fu, X. (2010) Effects of culture, social presence, and group composition on trust in technology-supported decision-making groups. Information Systems Journal, forthcoming.

Malhotra, N.K., Kim, S.S. and Agarwal, J. (2004) Internet users’ information privacy concerns (IUIPC): the construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355.

Marshall, B.A., Cardon, P.W., Norris DT, Goreva N and D’souza R (2008) Social networking websites in India and the United States: a cross- national comparison of online privacy and communication. Issues in Information Systems, 9(2), 87–94.

Mayer, R.C., Davis, J.H. and Schoorman, F.D. (1995) An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734.

Miller, K.D., Fabian, F. and Lin, S.J. (2009) Strategies for online communities.Strategic Management Journal, 30(3), 305–322.

Moon, Y. (2000) Intimate exchanges: using computers to elicit self-disclosure from consumers. Journal of Consumer Research, 26(4), 323–339.

Moores, T.T. and Chang, J.C.J. (2006) Ethical decision making in software piracy: initial development and test of a four-component model. MISQuarterly, 30(1), 167–180.

Nunamaker Jr., J.F., Dennis A, Valacich J, Vogel D and George J (1991)Electronic meeting systems to support group work. Communications ofthe ACM, 34(7), 40–61.

Oyserman, D. (2006) High power, low power, and equality: culturebeyond individualism and collectivism. Journal of Consumer Psychology, 16(4), 352–356.

Pavlou, P., Liang, H. and Xue, Y. (2007) Understanding and mitigatinguncertainty in online exchange relationships: a principal-agentperspective. MIS Quarterly, 31(1), 105–136.

Pavlou, P.A. and Dimoka, A. (2006) The nature and role of feedback text comments in online marketplaces: implications for trust building, price premiums, and seller differentiation. Information Systems Research, 17(4), 392–414.

Pavlou, P.A. and Gefen, D. (2004) Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37–59.

Pavlou, P.A. and Gefen, D. (2005) Psychological contract violation in online marketplaces: antecedents, consequences, and moderating role.Information Systems Research, 16(4), 372–399.

Pearce, W.B. and Sharp, S.M. (1973) Self-disclosing communication. Journalof Communication, 23(4), 409–425.

Pennebaker, J.W. (1989) Confession, inhibition, and disease. In Advances inExperimental Social Psychology (Berkowitz L, Ed), Vol. 22, pp 211–244,Academic Press, New York.

Petronio S (2002) Boundaries of Privacy: Dialectics of Disclosure. StateUniversity of New York Press, Albany.
Pinsonneault A and Heppel N (1998) Anonymity in group supportsystems research: a new conceptualization, measure, and contingencyframework. Journal of Management Information Systems, 14(3), 89–108.

Podsakoff, P.M., Mackenzie, S.B., Lee, J.Y. and Podsakoff, N.P. (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology,88(5), 879–903.

Porter, C.E. and Donthu, N. (2008) Cultivating trust and harvesting value invirtual communities. Management Science 54(1), 113–128.

Raykov, T. and Grayson, D. (2003) A test for change of composite reliability in scale development. Multivariate behavioral research 38(2), 143–159.

Robertshaw, G.S. and Marr, N.E. (2006) An empirical measure of the availability, completeness and reliability of voluntarily disclosed personal information for direct marketing purposes. Journal of FinancialServices Marketing 11(1), 85–94.

Shin, S.K., Ishman, M. and Sanders, G.L. (2007) An empirical investigation of socio-cultural factors of information sharing in China. Information & Management 44(2), 165–174.

Son, J.Y., Narasimhan, S. and Riggins, F.J. (2005) Effects of relational factors and channel climate on EDI usage in the customer-supplier relation- ship. Journal of Management Information Systems 22(1), 321–353.

Staples, D.S. and Webster, J. (2008) Exploring the effects of trust, task interdependence and virtualness on knowledge sharing in teams. Information Systems Journal 18(6), 617–640.

Straub, D.W. (1989) Validating instruments in MIS research. MIS Quarterly 13(2), 147–169.

Straub, D.W., Boudreau, M.C. and Gefen, D. (2004) Validation guidelines for IS positivist research. Communications of the AIS 14(2004), 380–426.

Taylor, D. and Altman, I. (1975) Self-disclosure as a function of reward-cost outcomes. Sociometry 38(1), 18–31.

Thibaut, J.W. and Kelley, H.H. (1959) The Social Psychology of Groups. John Wiley, New York.

Triandis, H.C. (2001) Individualism-collectivism and personality. Journal of Personality 69(6), 907–924.

Triandis, H.C. and Gelfand, M.J (1998) Converging measurement of horizontal and vertical individualism and collectivism. Journal of Personality and Social Psychology 74(1), 118–128.

Triandis, H.C. and Suh, E.M. (2002) Cultural influences on personality. Annual Review of Psychology 53(February), 133–160.

Vanlear, C.A. (1987) The formation of social relationships: a longitudinal study of social penetration. Human Communication Research 13(3), 299–322.

Vanlear, C.A. (1991) Testing a cyclical model of communicative openness in relationship development: two longitudinal studies. Communication Monographs 58(4), 337–361.

Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003) User acceptance of information technology: toward a unified view. MIS Quarterly 27(3), 425–478.

Walther, J.B. and Burgoon, J.K. (1996) Relational communication in computer-mediated interaction. Human Communication Research 19(1), 50–88.

Wasko, M.M. and Faraj, S. (2005) Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly 29(1), 35–57.

Wheeless, L.R. (1978) A follow-up study of the relationships among trust, disclosure, and interpersonal solidarity. Human Communication Research 4(2), 143–157.

Wheeless, L.R. and Grotz, J. (1976) Conceptualization and measurement of reported self-disclosure. Human Communication Research 2(4), 338–346.

Wolfe, C.J. and Murthy, U.S. (2006) Negotiation support systems in budget negotiations: an experimental analysis. Journal of Management Information Systems 22(3), 351–381.

Zhang, D. and Lowry, P.B. (2008) Issues, limitations, and opportunities in cross-cultural research on collaborative software in information systems. Journal of Global Information Management 16(1), 61–92.

Zhang, D., Lowry, P.B., Zhou, L. and Fu, X. (2008) The impact of individualism-collectivism, social presence, and group diversity on group decision making under majority influence. Journal of Management Information Systems 23(4), 53–80.