Comprendre le phénomène de dépendance envers les réseaux sociaux numériques : les effets de l’habitude et de la surcharge informationnelle dans le cas de Facebook

Authors

  • Hajer Kefi Paris School of Business
  • Alya Mlaiki EDC Paris Business School
  • Michel Kalika IAE Lyon, Magellan, Lyon University & Business Science Institute

Keywords:

Social Networking Sites, Dependence, Habit, Information Overload, Gender Effect.

Abstract

Social Networking Sites (SNS) have grown exponentially. They may nevertheless induce negative effects on the individuals and the organizations that are now capturing the inter- est of an emerging body of research. The aim of this article is to provide an understanding of one of these effects: the dependence phenomenon on these platforms. An extensive liter- ature review in management information systems and psycho-sociology is mobilized and helped developing an original explanatory model which stipulates that perceived useful- ness, along with perceived behavioral control may contribute to install usage habits and information overload. These, jointly and under the effect of social influence may in turn induce perceived dependence on SNS. The model is tested using the PLS method applied to structural equation modeling on data collected via an online survey within a population of 248 Facebook users. Findings confirm the central role played by habit and information overload in this mechanism, with regard to the type of usage adopted (professional/pri- vate) and to the gender effect which has appeared to be significant. The managerial and theoretical implications of the study, the limitations and also the new research areas to which it can open the path are then discussed. 

Author Biography

Hajer Kefi, Paris School of Business

Professeur des Universités

References

Agarwal R., Dhar V. (2014), “Editorial- Big Data, Data Science, and Analytics : The Opportunity and Challenge for IS Research”, Information Systems Research, vol. 25, n°3, p. 443–48.

Ajzen I. (1985), “From intentions to actions: A theory of planned behavior”, in Kuhl J., Beckmann J. (Eds.), Springer series in social psychology, Springer, p. 11-39.

Ajzen I. (1991), “The theory of planned behavior”, Organizational Behavior and Human Decision Processes, vol. 50, n°2, p.179-211.

Ajzen I., Fishbein M. (1980), Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hal.

Al-Debei M.M., Al-Lozi E., Papazafeiropoulou A. (2013), “Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective”, Decision Support Systems, vol. 55, n°1, p. 43–54.

Al-maghrabi T., Dennis C., Halliday S.V. (2011), “Antecedents of Continuance Intentions Towards E-Shopping: the Case of Saudi Arabia”, Journal of Enterprise Information Management, vol. 24, n°1, p. 85–111.

Andreassen C. S., Torsheim T., Brunborg G. S., Pallesen, S. (2012), “Development of a Facebook Addiction Scale”, Psychological Reports, vol. 110, n°2, p. 501-517.

Aral S., Dellarocas C., Godes D. (2013), “Introduction to the Special Issue—Social Media and Business Transformation: A Framework for Research,” Information Systems Research, vol. 24, n°1, p. 3–13.

Baker L., Oswald D. (2010), “Shyness and Online Social Networking Services”, Journal of Social and Personal Relationships, vol. 27, n°7, p. 873-889.

Bandura A. (1977), Social learning theory. Englewood Cliffs, Prentice Hall.

Barker V. (2009), “Older Adolescents’ Motivations for Social Network Site Use: The Influence of Gender, Group Identity, and Collective Self-Esteem”, CyberPsychology & Behavior, vol. 12, n°2, p. 209-213.

Bayraktar F., Gün Z. (2007), “Incidence and correlates of Internet usage among adoles- cents in North Cyprus”, Cyberpsychology & Behavior, vol. 10, n°2, p. 191-7.

Beard K. (2005), “Internet addiction: A review of current assessment techniques and potential assessment questions”, CyberPsychology & Behavior, vol. 8, n°1, p. 7–14.

Beard K., Wolf E. (2001), “Modification in the Proposed Diagnostic Criteria for Internet Addiction”, CyberPsychology & Behavior, vol. 4, n° 3, p. 377-383.

Becker G., Murphy K. (1988), “A theory of rational addiction”, Journal of Political Economy, vol. 96, n°4, p. 675-700.

Berger K., Klier J., Klier M., Probst F. (2014), “A Review of Information Systems Research on Online Social Networks”, Communications of the Association for Information Systems, vol. 35, Article 8, p. 145-172.

Bergeron F., Raymond L., Rivard S. Gara S., (1995), “Determinants of EIS Use: test- ing a behavior model”, Decision Support Systems, vol. 14, n° 2, p. 131-146.

Berthon P. R., Pitt L.F.; Plangger K.; Shapiro D. (2012), “Marketing Meets Web 2.0, Social Media, and Creative Consumers: Implications for International Marketing Strategy,” Business Horizons, vol. 55, n° 3, p. 261–71.

Bhattacherjee A. (2001), “Understanding Information Systems Continuance: An expectation-Confirmation Model”, MIS Quarterly, vol. 25, n°3, p.351-370.

Bigot R, Croutte P (Credoc, 2011), La dif- fusion de technologie de l’information et de la communication dans la société française.

Black D.W., Belsare G., Schlosser S. (1999), “Clinical features, psychiatric comorbidity and healthrelated quality of life in per- sons reporting compulsive computer use behavior”, Journal of Clinical Psychiatry, vol. 49, p. 839-844.

Block J.J. (2008), “Issues for DSM-V: Internet Addiction”, American Journal of Psychiatry, vol.165, n°3, p. 306-307.

Böhmer M., Hecht B., Schöning J., Krüger A., Bauer G. (2011), “Falling Asleep with Angry Birds,Facebook and Kindle: A Large Scale Study on Mobile Application Usage,” Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, ACM, p. 47-56.

Böhringer M., Barnes S. (2011), “Testing a Model of Continued Usage for Micro- blogging Services: The Case of Twitter”, Journal of Computer Information Systems, vol. 51, n°4, p. 1-10.

Brandtzæg PB., Luders M., Skjetne J. H. (2010), “Too Many Facebook ‘Friends’? Content Sharing and Sociability Versus the Need for Privacy in Social Network Sites”, International Journal Of Human- Computer Interaction, vol. 26, n°11/12, p. 1006-1030.

Byun S., Ruffini C., Mills J.E., Douglas A.C., Niang M., Stepchenkova S., Lee S.K., Loutfi J., Lee J-K., Atallah M., Blanton M. (2009), “Internet Addiction: Metasynthesis of 1996-2006. Quantitative Research”, CyberPsychology & Behavior, vol. 12, n°2, p. 203-207.

Caplan S. E. (2005), “A social skill account of problematic Internet use”, Journal of communication, vol. 55, n°4, p. 721–736.

Chang Y-P., Zhu, D-H. (2012), “The role of perceived social capital and flow experi- ence in building users’ continuance inten- tion to social networking sites in China”, Computers in Human Behavior, vol. 28, n°3, p. 995-1001.

Chao D., Hashimoto H., Kondo N. (2015), “Dynamic impact of social stratification and social influence on smoking preva- lence by gender: An agent-based model”, Social Science & Medicine, December, n°147, p. 280-287.

Chen Y., Potter R. (2011), “The Role of Habit in Post-Adoption Switching of Personal Information Technologies: An Empirical Investigation”, Communications of the Association for Information Systems, vol. 28, p. 585-610.

Cheolho Y., Rolland E. (2015), “Understanding continuace use in social networking services”, Journal of Computer Information Systems, vol. 55, n°2, p. 1–8.

Chin W.W. (1998), “The partial Least Square Approach to Structural Equation mod- eling”, in Modern Methods for Business Research, Marcoulides, G.A. (ed.), Mahwah, N.J.: Lawrence Erlbaum, p.150-170.

Chiu C.M., Huang H.Y. (2014), “Examining the antecedents of user gratification and its effects on individuals’ social network services usage: the moderating role of habit”, European Journal of Information Systems, vol. 24, n°4, p. 411–430.

Choi, S. B., Lim, M. S. (2016), “Effects of social and technology overload on psycho- logical well-being in young South Korean adults: The mediatory role of social net- work service addiction”, Computers in Human Behavior, vol. 61, p. 245–254.

Compeau D.R., Higgins C.A. (1995), “Computer self-efficacy: Development of

a measure and initial test”, MIS Quarterly, vol. 19, n°2, p. 189–211.

Correa T., Hinsley A.W., de Zuniga H.G. (2010), “Who interacts on the Web?: The intersection of users’ personality and social media use”, Computers in Human Behavior, vol. 26, p. 247–253.

Davis F. D., (1989), “Perceived usefulness, perceived ease of use, and user accep- tance of information technology”, MIS Quarterly, vol. 13, n°3, p. 319-340.

Davis R. A. (2001), “A cognitive–behavioral model of pathological Internet use”? Computers in Human Behavior, vol. 77, n°2 p. 187–195.

De Vries L., Gensler S., Leeflang P. (2012), “Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing”, Journal of Interactive Marketing, vol. 26, n°2, p. 83-9.

Deng S., Liu Y., Li H., Hu F. (2013), “How Does Personality Matter? An Investigation of the Impact of Extraversion on Individuals’ SNS Use”, Cyberpsychology, Behavior & Social Networking, vol. 16, n°8, p. 575-581.

Downs C. (2008), “The Facebook phe- nomenon: Social networking and gam- bling”, Proceeding of the Gambling and Social Responsibility Forum Conference; Manchester, UK.

Ellison N.B., Steinfield C., Lampe C. (2007), “The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites”, Journal of Computer-Mediated Communication, vol. 12, n°4, p. 1143–1168.

Eppler M., Mengis J. (2004), “The Concept of Information Overload - A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines”, The Information Society: An International Journal, vol. 20, n°5, p. 1–20.

Fornell C., Cha J. (1994), “Partial least squares”, in Bagozzi R.P. (Eds), Advanced Methods of Marketing Research, Blackwell, Cambridge, MA, p. 52-78.

Fornell C., Larcker D. F. (1981), “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”, Journal of Marketing Research, vol. 18, p. 39-50.

Fox J., Moreland J. J. (2015), “The dark side of social networking sites: An explo- ration of the relational and psychological stressors associated with Facebook use and affordances”, Computers In Human Behavior, vol. 45, p. 168-176.

Franken I.H., van Strien J.W., Franzek E.J., van de Wetering B.J. (2007), “Error-processing deficits in patients with cocaine depen- dence”, Biological Psychology, vol. 75, p. 45–51

Gambetti R.C., Graffigna G. (2010), “The Concept of Engagement,” International Journal of Market Research, vol. 52, n°6, p. 801–26.

Gefen D., Rigdon E. E., Straub D., (2011), “An update and extension to SEM guide- lines for administrative and social science research”, MIS Quarterly, vol. 35, n°2, p. 3–14.

Germonprez M., Hovorka, D.S. (2013), “Member Engagement within Digitally Enabled Social Network Communities: New Methodological Considerations,” Information Systems Journal, vol. 23, n°6, p. 525–49.

Ghose A., Ipeirotis P.G., Li B. (2012), « Designing Ranking Systems for Hotels on Travel Search Engines by Mining User- Generated and Crowdsourced Content”, Marketing Science, vol. 31, n° 3, May– June 2012, p. 493–520.

Goodman A. (1990), “Addiction: definition and implications”, British Journal of Addiction, vol. 85, p. 1403-8.

Granovetter M. S. (1973), “The Strength of Weak Ties”, The American Journal of Sociology vol. 78, n°6, p. 1360–1380.

Griffiths, M. (1999), “Internet Addiction: Fact or Fiction?”, The Psychologist, vol. 12, n°5, p. 246-251.

Griffiths M. (2003), “Internet gambling: Issues, concerns, and recommendations”, CyberPsychology & Behavior, vol. 6, p. 557–568.

Griffiths M. (2012), “Facebook Addiction: Concerns, Criticism and Recommendations – A Response to Andreassen and Colleagues”, Psychological Reports, vol. 110, n°2, p. 518-520.

Griffiths M., Parke J. (2010), “Adolescent gambling on the Internet: A review”, International Journal of Adolelescent Medical Health, vol. 22, p. 58–75.

Grisé M., Gallupe B. (2000), “Information overload/ Addressing the productivity par- adox in face-to-face electronic meetings”, Journal of Management Information Systems, vol. 16, p. 157-185.

Hair J. F., Sarstedt M., Ringle C. M., Mena J. A., (2012), “An assessment of the use of partial least squares structural equation modeling in marketing research”, Journal of the Academy of Marketing Science, vol. 40, n°3, p.414–433.

Hair J.R., Black J.F., Babin W.C. Anderso, R. E. (2010), Multivariate data analysis, 7th ed. Macmillan, New York.

Hautefeuille M., Véléa, D. (2010), Les addic- tions à Internet. Editions Payot.

Henseler J., Ringle C.M., Sinkowics R. R. (2009), “Structural Equation Modeling inInternational Marketing with Partial Least Squares Path Modeling”, Advances in International Marketing, vol. 20, p. 277-319.

Hormes J. M., Kearns B., Timko C. A. (2014), “Craving Facebook? Behavioral addiction to online social networking and its association with emotion regulation deficits”, Addiction, vol. 109, n°12, p. 2079-2088.

Hu T., Kettinger W.J. (2008), “Why People Continue to Use Social Networking Services: Developing a Comprehensive Model”, Proceedings of the International Conference on Information Systems, Montreal, Canada.

Huh S., Bowman ND. (2008), “Perception and addiction of online games as a func- tion of personality traits”, Journal of Media Psychology, vol. 13, n°2, p. 1-31.

Ifinedo, P. (2016), “Applying uses and gratifications theory and social influence processes to understand students’ pervasive adoption of social networking sites: Perspectives from the Americas”, International Journal of Information Management, vol. 36, n°2, p. 192–206.

Isaac H., Campoy E., Kalika M., (2007), “Surcharge informationnelle, urgence et TIC: L’effet temporel des technologies de l’information », Management et Avenir, vol. 12, p.153-172.

Jackson, T. W., Farzaneh, P. (2012), “Theory- based model of factors affecting informa- tion overload”, International Journal of Information Management, vol. 32, n°6, p. 523–532.

Jeong E., Kim, D. (2011), ‘Social Activities, Self-Efficacy, Game Attitudes, and Game Addiction’, Cyberpsychology, Behavior & Social Networking, vol. 14, n°4, p. 213-221.

Jia R, Jia HH. (2009), “Factorial validity of problematic Internet use scales”, Computers in Human Behavior; vol. 25, p. 1335–1342.

Junqi S., Zhuo C., Mei T. (2011), “Internet Self-Efficacy, the Need for Cognition, and Sensation Seeking as Predictors of Problematic Use of the Interne”, Cyberpsychology, Behavior & Social Networking, vol. 14, n°4, p. 231-234.

Kagan M. (2011). “12 Essential Facebook Stats.” http://blog.hubspot.com/blog/ tabid/6307/bid/14715/12-Essential- Facebook-StatsData.aspx, site visité le 15/08/2015.

Kalika M., (2007), “Du choix des médias en management d’un portefeuille de médias : la théorie du millefeuille” in Connaissances et management, Hommage à Robert Reix, Dubois P.L., Dupuy, Y., (Eds).

Kaplan M.A., Haenlein, M. (2010), “Users of the world, unite! The challenges and opportunities of Social Media”, Business Horizons, vol. 53, p. 59-68.

Karahanna E., Straub D. W., Chervany N. L. (1999), “Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post- Adoption Beliefs”, MIS Quarterly, vol. 23, n°2, p. 183-213.

Karaiskos D., Tzavellas E., Balta G., Paparrigopoulos T. (2010), “P02-232 - Social network addiction: a new clinical disorder?”, European Psychiatry, vol. 25, p. 855-863.

Kelman, H. C. (1958), “Compliance, identification, and internalization three processes of attitude change”, Journal of Conflict Resolution, vol. 2, n°1, p. 51–60.

Kesici S., Sahin I. (2009), “A comparative study of uses of the Internet among col- lege students with and without Internet addiction”, Psychology Report, vol. 103, n°3, pp. 1103-1112.

Kuss D., Griffiths M., Binder J. (2013), “Internet addiction in students: Prevalence and risk factors”, Computers in Human Behavior, vol. 29, n°3, p. 959-966.

Kuss D.J., Griffiths M.D. (2011), “Addiction to social networks on the internet: A lit- erature review of empirical research”, International Journal of Environment and Public Health, vol. 8, p. 3528-3552.

Larose R, Donghee, Y., Wohn, N., Ellison B., Steinfield C. (2011), “Facebook Fiends: Compulsive Social Networking and Adjustment to College,” IADIS International Conference ICT 2011.

LaRose R., Eastin M. (2004), “A Social Cognitive Theory of Internet Uses and Gratifications : Toward a New Model of Media Attendance,” Journal of Broadcasting & Electronic Media, vol. 48, n°3, p. 358–77.

LaRose, R., Lin, C. A., Eastin, M. S. (2003), “Unregulated Internet usage: Addiction, habit, or deficient self-regulation?” Media Psychology, vol. 5, p. 225–253.

Lee J. (2014), “Are Some People Less Influenced by Others’ Opinions? The Role of Internal Political Self-Efficacy and Need for Cognition in Impression Formation on Social Networking Sites”, Cyberpsychology, Behavior & Social Networking, vol. 17, n°9, p. 571-577.

Leung L., Lee P.S.N. (2011), “The influences of information literacy, internet addiction and parenting styles on internet risks”, New Media & Society,vol. 14, n°1, p. 117-136.

Lewis W., Agarwal R., Sambamurthy V. (2003), “Sources of Influence on Beliefs about Information Technology Use: An Empirical Study of Knowledge Workers”, MIS Quarterly, vol. 27, n°4, p. 657-678.

Limayem M., Cheung C. M. K. (2011), « Pre- dicting the Continued Use of Internet- based Learning Technology: The Role of Habit », MIS Quarterly, vol. 30, n°1, p. 91-99.

Limayem M., Hirt S.G., (2003) “Force of Habit and Information Systems Usage: Theory and Initial Validation, Journal of the Association for Information Systems, vol. 4, n°1, p. 65-95.

Limayem M., Hirt S.G., Cheung C. M.K., (2007), “How habit limits the predic- tive power of intention: The case of

Information Systems Continuance”, MIS Quarterly, vol. 31, n°4, p. 706-738.

Liu, C.-C. (2016)., “Understanding player behavior in online games: The role of gender”, Technological Forecasting and Social Change, vol. 111, p. 265–274.

Maghrabi R. O., Oakley R. L., Nemati H. R. (2014), “The impact of self-selected iden- tity on productive or perverse social capi- tal in social network sites”, Computers in Human Behavior, vol. 33, p. 367-371.

Maier C., Laumer S., Eckhardt A., Weitzel T. (2012): “Online Social Networks as a Source and Symbol of Stress: An Empirical Analysis”, Proceedings of the 33rd International Conference on Information Systems (ICIS), Orlando (FL).

Maier C., Laumer S., Weinert C., and Weitzel T. (2015), “The Effects of Technostress and Switching-stress on Discontinued Use of Social Networking Services: A Study of Facebook Use”, Information Systems Journal, vol. 25, n°3, p. 275-308.

Marino C., Vieno A., Pastore M., Albery I. P., Frings D., Spada M. M. (2016). Modeling the contribution of personality, social identity and social norms to problematic Facebook use in adolescents. Addictive Behaviors, p. 6351-6356.

Mislove A., Marcon M., Gummadi K.P., Druschel P., Bhattacharjee B. (2007), “Measurement and Analysis of Online Social Networks”, Proceedings of the 5th ACM/USENIX Internet Measurement Conference, IMC’07.

Mitchell M., Potenza M. (2015), “Importance of sex differences in impulse control and addictions”, Frontiers in Psychiatry, vol. 6, p. 1-4.

Mlaiki, A. ; Kefi, H., Kalika M. (2012), « Fac- teurs psychosociaux et continuité d’utili- sation des réseaux sociaux numériques : le cas de Facebook », Recherches en Sciences de Gestion, n° 92, p. 83-111.

Moore G., Benbasat I. (1991), “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation”, Information Systems Research, vol. 2, n° 3, p. 192-222.

Muise A., Christofides E., Desmarais S. (2009), “More Information than You Ever Wanted: Does Facebook Bring Out the Green-Eyed Monster of Jealousy?”, CyberPsychology & Behavior, vol. 12, n°4, p. 441-444.

Nabi R.L., Prestin A., So J. (2013), “Facebook friends with (health) benefits? Exploring social network site use and perceptions of social support, stress, and well-being”, Cyberpsychology, Behavior, and Social Networking, vol. 16, p. 721–727.

Nunnally J. C., Bernstein I. H. (1994), Psychometric theory (3rd ed.). New York: McGraw

Okazaki S., Taylor C.R. (2013), “Social Media and International Advertising: Theoretical Challenges and Future Directions,” International Marketing Review, vol. 30, n°1, p. 56–71.

Oldroyd J., Morris S. (2012), “Catching Falling Stars: A Human Resource Response To Social Capital’s Detrimental Effect of Information Overload on Star Employees”, Academy of Management Review, vol. 37, n°3, p. 396-418.

Oliver R.L., (1980), “A cognitive model for the antecedents and consequences of satisfaction”, Journal of Marketing Research, vol. 17, p.460-469.

Orr E., Sisic M., Ross C., Simmering MG., Arseneault JM, Orr RR. (2009), “The influence of shyness on the use of Facebook in an undergraduate sample”, Cyberpsychology & Behavior, vol. 12, n°3, p. 337-40.

Ortiz de Guinea A., Markus L., (2009), “Why Break the Habit of a Lifetime? Rethinking the Roles of Intention, Habit, and Emotion in Continuing In-formation

Technology Use”, MIS Quarterly, vol. 33, n°3, p. 433-444.

Ouellette J. A., Wood W. (1998), “Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior’, Psychological Bulletin, vol. 124, p. 54–74.

Pelling E.L., White K.M. (2009), “The Theory of Planned Behavior Applied to Young People’s Use of Social Networking Web Sites,” Cyberpsychology and Behavior, vol. 12, n°6, p.755–59.

Pennington R., Tuttle B. (2007), “The Effects of Information Overload on Software Project Risk Assessment”, Decision Sciences, vol. 38, n°3, p. 489-526.

Pew’s Internet Project Research (2014), Social Networking Fact Sheet http:// www.pewinternet.org/fact-sheets/social- networking-fact-sheet/ (site visité le 15/08/2015).

Piñeiro B., Correa J.B., Simmons V.N., Harrell P.T., Menzie N.S., Unrod M., Meltzer L.R., Brandon T.H. (2016), “Gender differ- ences in use and expectancies of e-ciga- rettes: Online survey results”, Addictive Behaviors, n°52, p. 91-7.

Ringle C.M.; Sarstedt M.; Straub D. W. (2012), “Critical Look at the Use of PLS-SEM”, MIS Quarterly, vol. 36, n°1, p. 3-14.

Robinson T.E., Berridge K.C. (2003), “Addiction”, Annual Review of Psychology, vol. 54, p.25–53.

Ryan T., Chester A., Reece J., Xenos S. (2014), “The uses and abuses of Facebook: A review of Facebook addiction”, Journal of Behavioral Addictions, vol. 3, n°3, p. 133–148.

Saiet DM. (2015), “Clinique des addic- tions”, Les addictions, Paris, Presses Universitaires de France, Que sais-je ?

Saliceti F. (2015), “Internet Addiction Disorder”, Procedia-Social and Behavioral Sciences, vol. 191, p. 1372-1376.

Schultze U., Vandenbosch B. (1998), “Information overload in a groupware environment : Now you see it, now you don’t”, Journal of Organizational Computing and Electronic Commerce, vol. 8, n° 2, p. 127-148.

Schulze C., L Schöler L., Skiera, B. (2014), “Not All Fun and Games: Viral Marketing for Utilitarian Products,” Journal of Marketing, vol. 78, January, p. 1–19.

Shapira N.A., Goldsmith T.D., Keck P.E. (2000), “ Psychiatric features of individuals with problematic internet use”, Journal of Affect Disorder, vol. 57, p. 267–272.

ShawM.,BlackD.W.(2008),“Internetaddic- tion: definition, assessment, epidemi- ology and clinical management”, CNS Drugs, vol. 22, n°5, p. 353-65.

Shotton M. A. (1991), “The costs and ben- efits of ‘computer addiction”, Behaviour and Information Technology, vol. 10, p. 219–230.

Song I., Larose R., Eastin M. S., Lin, C. A. (2004), “Internet Gratifications and Internet Addiction: On the Uses and Abuses of New Media”, Cyberpsychology & Behavior, vol. 7, n°4, p. 384-394.

Soror A. A., Hammer B. I., Steelman Z. R., Davis F. D., Limayem M. M. (2015), “Good habits gone bad: Explaining negative consequences associated with the use of mobile phones from a dual-systems per- spective”, Information Systems Journal, vol. 25, n°4, p. 403-427.

Sosik J., Kahai S., Piovoso M. (2009), “Silver Bullet or Voodoo Statistics? A Primer for Using the Partial Least Squares Data Analytic Technique”, Group and Organization Management, vol. 34, n°1, p. 5-36.

Statistica (2016), http://www.statista.com/ statistics/264810/number-of-monthly-ac- tive-facebook-users-worldwide/, site visité le 17/05/2016.

Taylor S., Todd P. A. (1995), “Understanding information technology usage: A test of competing models”, Information Systems Research, vol. 6, n°2, p. 144-176.

Trauth, E. M. (2013), “The role of theory in gender and information systems research”, Information and Organization, vol. 23, n°4, p. 277–293.

TriandisH.C.(1980),“Values,Attitudes,and Interpersonal Behavior”, in University of Nebraska Dept. of Psychology. (Ed.), Nebraska Symposium on Motivation, p. 196-259.

Turel O. (2014), “Quitting the use of a habi- tuated hedonic information system: a theoretical model and empirical exami- nation of Facebook users”, European Journal of Information Systems, vol. 24, n°4, p. 431-446.

Turel O. (2015), “An Empirical Examination of The “Vicious Cycle” Of Facebook Addiction”, Journal of Computer Information Systems, vol. 55, n°3, p. 83-91.

Turel O., Serenko A. (2010), “Is mobile email addiction overlooked?”, Commu- nications of the ACM, vol. 53 n°5, p 41-43.

Turel O., Serenko A. (2011), “Developing a (Bad) Habit: Antecedents and Adverse Consequences of Social Networking Website Use Habit”, AMCIS 2011 Proceedings. Paper 81.

Turel O., Serenko A. (2012), “The benefits and dangers of enjoyment with social networking websites”, European Journal of Information Systems, vol. 21, n°5, p. 512-528.

Turel O., Serenko A., Giles P. (2011), “Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users”, MIS Quarterly, vol. 35, n°4, p. 1043-1051.

Tuten T., Solomon M.R. (2014), Social Media Marketing, Sage Editions.

-Kefi.idml 39

/01/17 12:22

SYSTÈMES D’INFORMATION ET MANAGEMENT

Valleur M. (2009), “Entretien Avec Marc Valleur,” La Lettre de L’enfance et de L’adolescence, vol. 77, n°3, p. 55-64.

Venkatesh V., Bala H. (2008), “Technology Acceptance Model 3 and a Research Agenda on Interventions”, Decision Sciences, vol. 39, n°2, p. 273–315.

Venkatesh V., Davis F. D. (2000), “A theore- tical extension of the technology accep- tance model: Four longitudinal field studies”, Management Science, vol. 46, n°2, p. 186–204.

Venkatesh V., Morris M. G., Davis G. B., Davis F. D. (2003), “User acceptance of information technology: Toward a uni- fied view”, MIS Quarterly, vol. 27, n°3, p. 425–478.

Wang C., Lee M. K., Hua Z. (2015), “A theory of social media dependence: Evidence from microblog users”, Decision Support Systems, vol. 69, p. 40-49.

Wang C., Yang H. (2007), “Passion and Dependency in Online Shopping Activities”, Cyberpsychology & Behavior, vol. 10, n°2, p. 296-298.

Wang D., Xu L., Chan H. C. (2008), “Understanding Users’ Continuance of Facebook: The Role of General and Specific Computer Self-Efficacy”, ICIS 2008 Proceedings, Paper 168.

Wehlan E., Teigland R. (2013), “Transactive memory systems as a collective filter for mitigating information overload in digi- tally enabled organizational groups”, Information & Organization, vol. 23, p. 177-197.

Whang L.S.M., Lee S., Chang G. (2003), “Internet over-users psychological pro- files: a behavior sampling analysis on internet addiction”, Cyberpsychology and Behavior, vol. 6, p. 143-150.

Wiggins J.S. (1996), The five-factor model of personality. NY: The Guildford Press.

Wilson E. V., Mao E., Lankton N. K. (2010), “The Distinct Roles of Prior IT Use and Habit Strength in Predicting Continued Sporadic Use of IT”, Communications of The Association For Information System vol. 27, p. 185-206.

Wilson K., Fornasier S., White K. M. (2010), “Psychological predictors of young adults’ use of social networking sites”, Cyberpsychology, Behavior, and Social Networking, vol. 13, p. 173-177.

Yellowlees P. M., Marks S. (2007), “Problematic Internet Use Internet Addiction?,” Computers in Human Behavior, vol. 23, n°3, p. 1447-1453.

Yen C.F., Ko C.H., Yen J.Y., Chang Y.P., Cheng C.P. (2009), “Multi-dimensional discriminative factors for Internet addic- tion among adolescents regarding gen- der and age”, Psychiatrie and Clinical Neurosciences, vol. 63, n°3, p. 357-364.

Young K.S. (1996), “Psychology of com- puter use: XL. Addictive use of the Internet: a case that breaks the ste- reotype », Psychological Reports, vol. 79, p. 899-902.

Young K.S. (1998), “Internet addiction: The emergence of a new clinical disor- der”. Cyberpsychology and Behavior, vol. 3, n°2, p. 237–244.

Young K.S. (1999), “Internet Addiction: Evaluation and Treatment”, Student British Medical Journal vol. 7, p.351-352.

Young K.S. (2004), “Internet Addiction: A New Clinical Phenomenon and Its Consequences”, American Behavioral Scientist, vol. 48, n°4, p. 402-415.

Zaheer H., Griffiths K. (2008), “Swapping and Socializing in Cyberspace: An Explor- atory Study”, CyberPsychology & Behav- ior, vol. 11, n°1, p. 47-53.

Published

2017-03-04

How to Cite

Kefi, H., Mlaiki, A., & Kalika, M. (2017). Comprendre le phénomène de dépendance envers les réseaux sociaux numériques : les effets de l’habitude et de la surcharge informationnelle dans le cas de Facebook. Systèmes d’Information Et Management (French Journal of Management Information Systems), 21(4). Retrieved from https://revuesim.org/index.php/sim/article/view/877

Issue

Section

Empirical research