Dépendance au courrier électronique : effets sur le technostress et la surcharge informationnelle et répercussions sur la performance
Mots-clés :
dépendance, technostress, surcharge informationnelle, performance perçue, ‘dark side’ des TIC, effet générationnel, courrier électroniqueRésumé
Dans cet article, plusieurs phénomènes potentiellement porteurs d’effets négatifs de l’usage des technologies de l’information et de la communication (TIC) et leurs interactions sont examinés, à savoir la dépendance au courrier électronique, la surcharge informationnelle et le technostress. Un modèle de recherche est conçu à cet effet et permet de démontrer que la dépendance au courrier électronique entraîne de la surcharge informationnelle, en plus d’être un facteur antécédent de deux générateurs de technostress : la techno-surcharge et la techno-invasion. En outre, la surcharge informationnelle a des répercussions perçues comme négatives sur la performance due aux TIC, alors que les mesures organisationnelles anti-technostress et la techno-surcharge affectent positivement cette performance. Ces résultats et leurs implications théoriques et managériales sont discutés et mis en perspective selon le genre des utilisateurs et leur appartenance aux générations Y, X et baby-boomers. Des distinctions importantes sont particulièrement à relever pour la génération Y (les millénaires) par rapport à leurs aînés. Notre travail participe apporte ainsi une contribution significative au courant de recherche émergent sur la face obscure (‘dark side’) ou effets négatifs des TIC.
Références
Addas, S., & Pinsonneault, A. (2015). The many faces of information technology interruptions: A taxonomy and preliminary investigation of their performance effects. Information Systems Journal, 25(3), 231–273. https://doi.org/10.1111/isj.12064
Addas, S., & Pinsonneault, A. (2018). E-mail interruptions and individual performance: is there a silver lining?. MIS Quarterly, 42(2), 381-405.
Agogo, D., & Hess, T. J. (2018). “How does tech make you feel?” a review and examination of negative affective responses to technology use. European Journal of Information Systems, 27(5), 570-599.
Aral, S., Brynjolfsson, E., & Van Alstyne, M. (2012). Information, Technology, and Information Worker Productivity. Information Systems Research, 23(3), 849–867. https://doi.org/10.1287/isre.1110.0408
Arnetz, B. B., & Wiholm, C. (1997). Technological stress: Psychophysiological symptoms in modern offices. In Journal of Psychosomatic Research (Vol. 43, pp. 35–42). https://doi.org/10.1016/S0022-3999(97)00083-4
Arnold, M. (2003). On the phenomenology of technology: The “Janus-faces” of mobile phones. Information and Organization, 13(4), 231–256. https://doi.org/10.1016/S1471-7727(03)00013-7
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological Antecedents And Implications. MIS Quarterly, 35(4), 831–858. https://doi.org/Article
Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287. https://doi.org/10.1016/0749-5978(91)90022-L
Barber, L. K., & Santuzzi, A. M. (2015). Please respond ASAP: Workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172.
Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887-906.
Beaudry, A., Pinsonneault, A., & Molson, J. (2010). The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use. MIS Quarterly, 34(4), 689–710. https://doi.org/10.1287/mnsc.1100.1195
Becker, G. S., & Murphy, K. M. (1988). A Theory of Rational Addiction. Journal of Political Economy, 96(4), 675–700. https://doi.org/10.1086/261558
Bellotti, V., Ducheneaut, N., Howard, M., Smith, I., & Grinter, R. (2005). Quality Versus Quantity: E-Mail-Centric Task Management and Its Relation With Overload. Human-Computer Interaction, 20(1), 89–138. https://doi.org/10.1207/s15327051hci2001&2_4
Bhattacherjee, A. (2001). Understanding Information Systems Continuance : an Expectation - Confirmation Model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
Braun, S., Hernandez Bark, A., Kirchner, A., Stegmann, S., & Van Dick, R. (2019). Emails from the boss—Curse or blessing? Relations between communication channels, leader evaluation, and employees’ attitudes. International Journal of Business Communication, 56(1), 50-81.
Brod, C. (1982). Managing technostress: Optimizing the Use of computer Technology. Personnel Journal, 61(10), 753–57. https://doi.org/10.1007/BF02771138
Byron, K. (2008). Carrying too heavy a load? The communication and miscommunication of emotion by email. The Academy of Management Review, 33(2), 309-327.
Cameron, A. F., & Webster, J. (2013). Multicommunicating: Juggling multiple conversations in the workplace. Information Systems Research, 24(2), 352–371. https://doi.org/10.1287/isre.1120.0446
Cenfetelli, R. T. (2005). The inhibitors of technology usage. Dissertation Abstracts International Section A: Humanities and Social Sciences. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2005-99003-081&site=ehost-live
Cenfetelli, R. T., & Schwarz, A. (2011). Identifying and testing the inhibitors of technology usage intentions. Information Systems Research, 22(4), 808–823. https://doi.org/10.1287/isre.1100.0295
Charlton, J. P. (2002). A factor‐analytic investigation of computer ‘addiction’and engagement. British journal of psychology, 93(3), 329-344.
Charlton, J. P., & Danforth, I. D. (2007). Distinguishing addiction and high engagement in the context of online game playing. Computers in human behavior, 23(3), 1531-1548.
Chen, A., & Karahanna, E. (2018). Life Interrupted: The Effects of Technology-Mediated Work Interruptions on Work and Nonwork Outcomes. MIS Quarterly, 42(4), 1023-1042.
Chen, X., Ma, J., Jin, J., & Fosh, P. (2013). Information privacy, gender differences, and intrinsic motivation in the workplace. International Journal of Information Management, 33(6), 917–926. https://doi.org/10.1016/j.ijinfomgt.2013.08.010
Chesley, N. (2014). Information and communication technology use, work intensification and employee strain and distress. Work, employment and society, 28(4), 589-610.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Modern Methods for Business Research (Vol. 295, pp. 295–336). https://doi.org/10.1016/j.aap.2008.12.010
Choi, S. B., & Lim, M. S. (2016). Effects of social and technology overload on psychological well-being in young South Korean adults: The mediatory role of social network service addiction. Computers in Human Behavior, 61, 245–254. https://doi.org/10.1016/j.chb.2016.03.032
Cooper, C. L., & Cartwright, S. (1997). An intervention strategy for workplace stress. Journal of Psychosomatic Research, 43(1), 7–16. https://doi.org/10.1016/S0022-3999(96)00392-3
D’Arcy, J., Herath, T., & Shoss, M. K. (2014). Understanding Employee Responses to Stressful Information Security Requirements: A Coping Perspective. Journal of Management Information Systems, 31(2), 285–318. https://doi.org/10.2753/MIS0742-1222310210
Dabbish, L. A., & Kraut, R. E. (2006). Email Overload at Work : An Analysis of Factors Associated with Email Strain. IEEE Engineering Management Review, 38(1), 76–90.
Davis, R. A. (2001). Cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17(2), 187–195. https://doi.org/10.1016/S0747-5632(00)00041-8
Deal, J. J., Altman, D. G., & Rogelberg, S. G. (2010). Millennials at work: What we know and what we need to do (if anything). Journal of Business and Psychology, 25(2), 191-199.
Derks, D., & Bakker, A. B. (2014). Smartphone use, work–home interference, and burnout: A diary study on the role of recovery. Applied Psychology, 63(3), 411-440.
Derks, D., van Duin, D., Tims, M., & Bakker, A. B. (2015). Smartphone use and work–home interference: The moderating role of social norms and employee work engagement. Journal of Occupational and Organizational Psychology, 88(1), 155-177.
DeLone, W. H., & Mclean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems / Spring, 19(4), 9–30. https://doi.org/10.1073/pnas.0914199107
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
Delpechitre, D., Black, H. G., & Farrish, J. (2019). The dark side of technology: examining the impact of technology overload on salespeople. Journal of Business & Industrial Marketing, 34(2), 317-337.
Dixon, J. (2016). Tired of Technology-A Review and Theoretical Model of Organizational Technostress. In Academy of Management Proceedings (Vol. 2016, No. 1, p. 17468). Briarcliff Manor, NY 10510: Academy of Management.
Ducheneaut, N., & Bellotti, V. (2001). E-mail as habitat: an exploration of embedded personal information management. interactions, 8(5), 30-38.
Elie-Dit-Cosaque, C., Pallud, J., & Kalika, M. (2011). The Influence of Individual, Contextual, and Social Factors on Perceived Behavioral Control of Information Technology: A Field Theory Approach. Journal of Management Information Systems, 28(3), 201–234. https://doi.org/10.2753/MIS0742-1222280306
Eppler, Martin J.; Mengis, J. (2004). The concept of information oveload: a review of the literature from Organization Science, Accounting, MIS, and related disciplines. The Information Society, 20(5), 325–344. https://doi.org/10.1080/01972240490507974
Fenner, G. H., & Renn, R. W. (2010). Technology-assisted supplemental work and work-to-family conflict: The role of instrumentality beliefs, organizational expectations and time management. Human Relations, 63(1), 63-82.
F. Hair Jr, J., Sarstedt, M., Hopkins, L., G. Kuppelwieser, V., Jr, J. F. H., Sarstedt, M., … G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980
Galbraith, J. R. (1974). Organization Design: An Information Processing View. Interfaces, 4(3), 28–36. https://doi.org/10.1287/inte.4.3.28
Galluch, P. S., Grover, V., & Thatcher, J. B. (2015). Interrupting the workplace: Examining stressors in an information technology context. Journal of the Association for Information Systems, 16(1), 1.
Glei, J. K. (2016). Why we’re addicted to email-and how to fix it. Time, time.com/i.
Grisé, M.-L., & Gallupe, R. B. (1999). Information overload: addressing the productivity paradox in face-to-face electronic meetings. J. Manage. Inf. Syst., 16(3), 157–185. Retrieved from http://portal.acm.org/citation.cfm?id=1195844
Grover, V., & Lyytinen, K. (2015). New State of Play in Information Systems Research: The Push to the Edges. Management Information Systems Quarterly, 39(2), 271–296.
Gorman, P., Nelson, T., & Glassman, A. (2004). The Millennial generation: A strategic opportunity. Organizational Analysis (15517470), 12(3).
Gupta, A., Sharda, R., Ducheneaut, N., Zhao, J. L., & Weber, R. (2006). E-mail management: A techno-managerial research perspective. Communications of the Association for Information Systems, 17(1), 43.
Gupta, A., Sharda, R., & Greve, R. A. (2011). You’ve got email! Does it really matter to process emails now or later?. Information Systems Frontiers, 13(5), 637-653.
Guzella, T. S., & Caminhas, W. M. (2009). A review of machine learning approaches to spam filtering. Expert Systems with Applications, 36(7), 10206-10222.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, 45(5–6), 312–319. https://doi.org/10.1016/j.lrp.2012.09.011
Hair, M., Renaud, K. V., & Ramsay, J. (2007). The influence of self-esteem and locus of control on perceived email-related stress. Computers in Human Behavior, 23(6), 2791-2803.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319. https://doi.org/10.1016/0167-8116(92)90003-4
Hershatter, A., & Epstein, M. (2010). Millennials and the world of work: An organization and management perspective. Journal of business and psychology, 25(2), 211-223.
Isaac, H., Campoy, E., & Kalika, M. (2007). Surcharge informationnelle, urgence et TIC. l’effet temporel des technologies de l’information. Management & Avenir, 13(3), 149. https://doi.org/10.3917/mav.013.0149
Jackson, T., Dawson, R., & Wilson, D. (2003). Reducing the effect of email interruptions on employees. International Journal of Information Management, 23(1), 55–65. https://doi.org/10.1016/S0268-4012(02)00068-3
Jackson, T. W., & Farzaneh, P. (2012). Theory-based model of factors affecting information overload. International Journal of Information Management, 32(6), 523–532. https://doi.org/10.1016/j.ijinfomgt.2012.04.006
Jeong, E. J., & Kim, D. H. (2011). Social activities, self-efficacy, game attitudes, and game addiction. Cyberpsychology, Behavior and Social Networking, 14(4), 213–221. https://doi.org/10.1089/cyber.2009.0289
Jones, Q., Ravid, G., & Rafaeli, S. (2004). Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information Systems Research, 15(2), 194–211. https://doi.org/10.1287/isre.1040.0023
Kalika, M., Boukef Charki, N., & Isaac, H. (2007). La théorie du millefeuille et l’usage des TIC dans l’entreprise. Revue Française de Gestion, 33(172), 117–129. https://doi.org/10.3166/rfg.172.117-129
Karahanna, E., Xu, S. X., Xu, Y., & Zhang, N. A. (2018). The Needs–Affordances–Features Perspective for the Use of Social Media. Management Review, 26(2), 298-310.
Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061-1072.
Kefi, H., Mlaiki, A., & Kalika, M. (2016). 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 & Management, 21(4), 7. https://doi.org/10.3917/sim.164.0007
Kelleher, D. (2013). Confessions of an email user. https://techtalk.gfi.com/survey-81-of-u-s-employees-check-their-work-mail-outside-work-hours/
Kokkalis, N., Köhn, T., Pfeiffer, C., Chornyi, D., Bernstein, M. S., & Klemmer, S. R. (2013, February). EmailValet: managing email overload through private, accountable crowdsourcing. In Proceedings of the 2013 conference on Computer supported cooperative work (pp. 1291-1300). ACM.
Kushlev, K., & Dunn, E. W. (2015). Checking email less frequently reduces stress. Computers in Human Behavior, 43, 220-228.
LaRose, R., & Eastin, M. S. (2004). A Social Cognitive Theory of Internet Uses and Gratifications : Toward a New Model of Media Attendance. Journal of Broadcasting & Electronic Media, 48(3), 358–377. https://doi.org/10.1207/s15506878jobem4803
Lazarus, R. S. (1966). Psychological stress and the coping process. McGrawHill series in psychology.
Lazarus, R. S. (1993). From Psychological Stress to the Emotions: A History of Changing Outlooks. Annual Review of Psychology, 44(1), 1–22. https://doi.org/10.1146/annurev.ps.44.020193.000245
Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61. https://doi.org/10.1016/j.chb.2015.08.011
Lee, Y. K., Chang, C. T., Cheng, Z. H., & Lin, Y. (2016). Helpful-stressful cycle? Psychological links between type of mobile phone user and stress. Behaviour and Information Technology, 35(1), 75–86. https://doi.org/10.1080/0144929X.2015.1055800
Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support: social overload on social networking sites. European Journal of Information Systems, 24(5), 447–464. https://doi.org/10.1057/ejis.2014.3
Magsamen-Conrad, K., & Greene, K. (2014). Technology addiction’s contribution to mental wellbeing: The positive effect of online social capital. Computers in human behavior, 40, 23-30.
Mano, R. S., & Mesch, G. S. (2010). E-mail characteristics, work performance and distress. Computers in Human Behavior, 26(1), 61-69.
Mark, G., Iqbal, S. T., Czerwinski, M., Johns, P., Sano, A., & Lutchyn, Y. (2016, May). Email duration, batching and self-interruption: Patterns of email use on productivity and stress. In Proceedings of the 2016 CHI conference on human factors in computing systems (pp. 1717-1728). ACM.
Mazmanian, M., Orlikowski, W. J., & Yates, J. (2013). The Autonomy Paradox: The Implications of Mobile Email Devices for Knowledge Professionals. Organization Science, 24(5), 1337–1357. https://doi.org/10.1287/orsc.1120.0806
Nunnally, J., & Bernstein, I. (1994). Psychometric Theory, 3rd edn, 1994. McGraw-Hill, New York, 3, 701. Retrieved from http://scholar.google.com.vn/scholar?q=Psychometric+Theory+3rd&btnG=&hl=vi&as_sdt=0,5#0
Myers, K. K., & Sadaghiani, K. (2010). Millennials in the workplace: A communication perspective on millennials’ organizational relationships and performance. Journal of Business and Psychology, 25(2), 225-238.
Oldroyd, J., & Morris, S. (2012). Catching Falling Stars: A Human Resource Response to Social Capital’s Detrimental Effect of Information Overload on Valuable and Visible Employees. Academy of Management Review. https://doi.org/10.5465/amr.2010.0403
Park, Y. J. (2015). Do men and women differ in privacy? Gendered privacy and (in)equality in the Internet. Computers in Human Behavior, 50, 252–258. https://doi.org/10.1016/j.chb.2015.04.011
Paczkowski, W. F., & Kuruzovich, J. (2016). Checking email in the bathroom: monitoring email responsiveness behavior in the workplace. American Journal of Management, 16(2), 23.
Pennington, R., & Tuttle, B. (2007). The effects of information overload on software project risk assessment. Decision Sciences, 38(3), 489–526. https://doi.org/10.1111/j.1540-5915.2007.00167.x
Pirkkalainen, H., & Salo, M. (2016). Two decades of the dark side in the information systems basket: Suggesting five areas for future research. In ECIS 2016: Proceedings of the 24th European Conference on Information Systems, Tel Aviv, Israel, June 9-11, 2014. European Conference on Information Systems.
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165
Reinke, K., & Chamorro-Premuzic, T. (2014). When email use gets out of control: Understanding the relationship between personality and email overload and their impact on burnout and work engagement. Computers in Human Behavior, 36, 502-509.
Riedl, R., Kindermann, H., Auinger, A., & Javor, A. (2012). Technostress from a neurobiological perspective. Business & Information Systems Engineering, 4(2), 61-69.
Russell, E., Purvis, L. M., & Banks, A. (2007). Describing the strategies used for dealing with email interruptions according to different situational parameters. Computers in Human Behavior, 23(4), 1820-1837.
Russo, M., Bergami, M., & Morandin, G. (2018). Surviving a day without smartphones. MIT Sloan Management Review, 59(2), 7-9.
Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436.
Saunders, C., Wiener, M., Klett, S., & Sprenger, S. (2017). The Impact of Mental Representations on ICT-Related Overload in the Use of Mobile Phones. Journal of Management Information Systems, 34(3), 803–825. https://doi.org/10.1080/07421222.2017.1373010
Schultz, 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, 8(2), 127–148. https://doi.org/10.1207/s15327744joce0802_3
Shmueli, G., Ray, S., Velasquez Estrada, J. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564. https://doi.org/10.1016/j.jbusres.2016.03.049
Shu, Q., Tu, Q., & Wang, K. (2011). The impact of computer self-efficacy and technology dependence on computer-related technostress: A social cognitive theory perspective. International Journal of Human-Computer Interaction, 27(10), 923–939. https://doi.org/10.1080/10447318.2011.555313
Small, G. W., & Vorgan, G. (2008). iBrain: Surviving the technological alteration of the modern mind (p. 20). New York: Collins Living.
Wey Smola, K., & Sutton, C. D. (2002). Generational differences: Revisiting generational work values for the new millennium. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 23(4), 363-382.
Srivastava, S. C., Chandra, S., & Shirish, A. (2015). Technostress creators and job outcomes: Theorising the moderating influence of personality traits. Information Systems Journal, 25(4), 355–401. https://doi.org/10.1111/isj.12067
Straub, D. (2012). Editor's comments: does MIS have native theories?. MIS Quarterly, 36(2), III-XII.
Stich, J. F., Tarafdar, M., Stacey, P., & Cooper, S. C. (2019). Appraisal of Email Use as A Source of Workplace Stress: A Person-Environment Fit Approach. Journal of the Association for Information Systems, 20(2), 2.
Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta‐techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6-42.
Tarafdar, M., Gupta, A., & Turel, O. (2013). The dark side of information technology use. Information Systems Journal, 23(3), 269–275. https://doi.org/10.1111/isj.12015
Tarafdar, M., Pullins, E. B., & Ragunathan, T. S. (2015). Technostress : Negative effect on performance and possible. Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
Tarafdar, M., Tu, Q., Ragu-Nathan, B., & Ragu-Nathan, T. (2007). The Impact of Technostress on Role Stress and Productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/MIS0742-1222240109
Tarafdar, M., Tu, Q., & Ragu-Nathan, T. S. (2011). Impact of Technostress on End-User Satisfaction and Performance. Journal of Management Information Systems, 27(3), 303–334. https://doi.org/10.2753/MIS0742-1222270311
The Radicati Group, I. (2015). Email Statistics Report, 2015-2019. Email Statistics Report, 44(0), 4. Retrieved from http://www.radicati.com/wp/wp-content/uploads/2015/02/Email-Statistics-Report-2015-2019-Executive-Summary.pdf
Tu, Q., Wang, K., & Shu, Q. (2005). Computer-related technostress in China. Communications of the ACM, 48(4), 77. https://doi.org/10.1145/1053291.1053323
Turel, O., & Serenko, A. (2010). Is mobile email addiction overlooked? Communications of the ACM, 53(5), 41. https://doi.org/10.1145/1735223.1735237
Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512–528. https://doi.org/10.1057/ejis.2012.1
Turel, O., Serenko, A., & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. Mis Quarterly, 1043-1061.
Wajcman, J., & Rose, E. (2011). Constant connectivity: Rethinking interruptions at work. Organization Studies, 32(7), 941-961.
Weil, M. M., & Rosen, L. D. (1997). TechnoStress : coping with technology @work @home @play. et Cetera (Vol. 56). Retrieved from http://www.loc.gov/catdir/toc/onix01/97016114.html
Whittaker, S., & Sidner, C. (1997). Email overload: exploring personal information management of email. Culture of the Internet, 277-295.
Whittaker, S., Bellotti, V., & Moody, P. (2005). Introduction to this special issue on revisiting and reinventing e-mail. Human–Computer Interaction, 20(1-2), 1-9.
Xu, Z., Turel, O., & Yuan, Y. (2012). Online game addiction among adolescents: motivation and prevention factors. European Journal of Information Systems, 21(3), 321–340. https://doi.org/10.1057/ejis.2011.56
Young, K. S. (1998). Internet Addiction: The Emergence of a New Clinical Disorder. CyberPsychology & Behavior, 1(3), 237–244. https://doi.org/10.1089/cpb.1998.1.237
Young, K. S. (2004). Internet Addiction. American Behavioral Scientist, 48(4), 402–415. https://doi.org/10.1177/0002764204270278
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