Investigating the Moderating Effect of Massively Multiplayer Online (MMO) Games on the Correlation Between Flow and Game Addiction: A Meta-Analysis

Authors

  • Mengyuan Li Curtin University, Perth, Australia
  • Wendy Hui Singapore Institute of Technology
  • Torsten Reiners Curtin University, Perth, Australia

DOI:

https://doi.org/10.3127/ajis.v27i0.3995

Keywords:

game addiction, flow, immersion, social interaction, massively multiplayer online games

Abstract

The flow theory of addiction suggests that the psychological flow state and addiction are positively correlated. However, based on 23 empirical studies involving 6,772 subjects, our meta-analysis shows that this relationship is significantly weakened in massively multiplayer online (MMO) games. Our results suggest that game genre, which is often overlooked in existing theories, warrants more attention in future research on game addiction. For game developers, our results suggest that it is particularly important for non-MMO games to provide a good match between game challenge and player skill level, which is essential to the flow experience. As MMO games have been reported to be more addictive than non-MMO games, future research should also investigate the unique characteristics of MMO games that cause addiction in this game genre.

References

Aguinis, H., Sturman, M. C., & Pierce, C. A. (2008). Comparison of three meta-analytic procedures for estimating moderating effects of categorical variables. Organizational Research Methods, 11(1), 9-34. doi: 10.1177/1094428106292896

Alavi, M., & Joachimsthaler, E. A. (1992). Revisiting DSS implementation research: A meta-analysis of the literature and suggestions for researchers. MIS Quarterly, 16(1), 95-116.

Amano-Smerling, T. (2021). “Pay to Play: The Ethics of Video Game Economics,” Viterbi Conversations in Ethics, 5(1). https://vce.usc.edu/volume-5-issue-1/pay-to-play-the-ethics-of-video-game-economics/

Anello, C., & Fleiss, J. L. (1995) Exploratory or analytic meta-analysis: should we distinguish between them? Journal of Clinical Epidemiology, 8(1), 109-116. doi: 10.1016/0895-4356(94)00084-4.

Ballabio, M., Griffiths, M. D., Urbán, R., Quartiroli, A., Demetrovics, Z., & Király, O. (2017). Do gaming motives mediate between psychiatric symptoms and problematic gaming? An empirical survey study. Addiction Research & Theory, 25(5), 397-408. doi:10.1080/16066359.2017.1305360

BBC (2019, November 6). Video game addiction: China imposes gaming curfew for minors. https://www.bbc.com/news/world-asia-50315960

Behl, A., & Pereira, V. (2021). What’s behind a scratch card? Designing a mobile application using gamification to study customer loyalty: An experimental approach. Australasian Journal of Information Systems, 25.

Berente, N., Lyytinen, K., Yoo, Y., & Maurer, C. (2019). Institutional logics and pluralistic responses to enterprise system implementation: a qualitative meta-analysis. MIS Quarterly, 43(3), 873-902.

Bhagat, S., Jeong, E. J., & Kim, D. J. (2020). The role of individuals’ need for online social interactions and interpersonal incompetence in digital game addiction. International Journal of Human–Computer Interaction, 36(5), 449-463. doi:10.1080/10447318.2019.1654696

Bhardwaj, S., Rana, G. A., Behl, A., & de Caceres, S. J. G. (2023). Exploring the boundaries of Neuromarketing through systematic investigation. Journal of Business Research, 154, 113371.

Billieux, J., Deleuze, J., Griffiths, M. D., & Kuss, D. J. (2015). Internet gaming addiction: The case of massively multiplayer online roleplaying games. In Textbook of Addiction Treatment: International Perspectives (pp. 1515-1525). doi:10.1007/978-88-470-5322-9_105

Billieux, J., Van der Linden, M., Achab, S., Khazaal, Y., Paraskevopoulos, L., Zullino, D., & Thorens, G. (2013). Why do you play World of Warcraft? An in-depth exploration of self-reported motivations to play online and in-game behaviours in the virtual world of Azeroth. Computers in Human Behavior, 29(1), 103-109. doi:10.1016/j.chb.2012.07.021

Bölen, M. C., Calisir, H., & Özen, Ü. (2021). Flow theory in the information systems life cycle: The state of the art and future research agenda. International Journal of Consumer Studies, 45, 546-580. doi: 10.1111/ijcs.12641

Borsboom, D., & Mellenbergh, G. J. (2022) “True score, latent variables, and constructs: A comment on Schmidt and Hunter,” Intelligence, 30, 505-514.

Brinckmann, J., Dew, N., Read, S., Mayer-Haug, K., & Grichnik, D. (2019). Of those who plan: A meta-analysis of the relationship between human capital and business planning. Long Range Planning, 52(2), 173-188.

Brunborg, G. S., Mentzoni, R. A., & Frøyland, L. R. (2014). Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems? Journal of Behavioral Addictions, 3(1), 27-32. doi: 10.1556/jba.3.2014.002

Casula, M., Rangarajan, N., Shields, P. (2021). The potential of working hypotheses for deductive exploratory research. Quality and Quantity, 55(5), 1703-1725. doi: 10.1007/s11135-020-01072-9.

Chiu, S.-I., Lee, J.-Z., & Huang, D.-H. (2004). Video game addiction in children and teenagers in Taiwan. Cyberpsychology & Behavior, 7(5), 571-581. doi:10.1089/cpb.2004.7.571

Chou, T.-J., & Ting, C.-C. (2003). The role of flow experience in cyber-game addiction. Cyberpsychology & Behavior, 6(6), 663-675. doi:10.1089/109493103322725469

Csikszentmihalyi, M. (1996). Flow and the psychology of discovery and invention (Vol. 56). Harper Collins: New York, USA.

Csikszentmihalyi, M. (2013). Flow: The psychology of Happiness. Random House: London, UK.

Csikszentmihalyi, M. (2014). Toward a psychology of optimal experience. In Flow and the Foundations of Positive Psychology (pp. 209-226): Springer: New York, USA.

Csikszentmihalyi, M., Abuhamdeh, S., & Nakamura, J. (2005). Flow. In Elliot A. J. & Dweck, C. S. (Eds.) Handbook of Competence and Motivation. Guilford Publications: New York, USA.

Dauriat, F. Z., Zermatten, A., Billieux, J., Thorens, G., Bondolfi, G., Zullino, D., & Khazaal, Y. (2011). Motivations to play specifically predict excessive involvement in massively multiplayer online role-playing games: evidence from an online survey. European Addiction Research, 17(4), 185-189. doi:10.1159/000326070

De Jong, B. A., Dirks, K. T., & Gillespie, N. (2016). Trust and team performance: A meta-analysis of main effects, moderators, and covariates. Journal of Applied Psychology, 101(8), 1134.

Dennis, A. R., Wixom, B. H., & Vandenberg, R. J. (2001). Understanding fit and appropriation effects in group support systems via meta-analysis. MIS Quarterly, 25(2), 167-193. doi:10.2307/3250928

Desrochers, N., Paul‐Hus, A., & Pecoskie, J. (2017). Five decades of gratitude: A meta‐synthesis of acknowledgments research. Journal of the Association for Information Science and Technology, 68(12), 2821-2833. doi:10.1002/asi.23903

Elliott, L., Golub, A., Ream, G., & Dunlap, E. (2012). Video game genre as a predictor of problem use. Cyberpsychology, Behavior, and Social Networking, 15(3), 155-161. doi:10.1089/cyber.2011.0387

Elliott, L., Ream, G., McGinsky, E., & Dunlap, E. (2012). The contribution of game genre and other use patterns to problem video game play among adult video gamers. International Journal of Mental Health and Addiction, 10(6), 948-969. doi: 10.1007/s11469-012-9391-4

Gerow, J. E., Grover, V., Thatcher, J., & Roth, P. L. (2014). Looking Toward the Future of IT–Business Strategic Alignment through the Past. MIS Quarterly, 38(4), 1159-1186.

Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5(10), 3-8. doi:10.3102/0013189X005010003

Goode, S., Hoehle, H., Venkatesh, V., & Brown, S. A. (2017). User compensation as a data breach recovery action: An investigation of the Sony Playstation network breach. MIS Quarterly, 41(3), 703-727. doi:10.25300/MISQ/2017/41.3.03

Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. doi:10.1080/14659890500114359

Hagström, D., & Kaldo, V. (2014). Escapism among players of MMORPGs—conceptual clarification, its relation to mental health factors, and development of a new measure. Cyberpsychology, Behavior, and Social Networking, 17(1), 19-25. doi:10.1089/cyber.2012.0222

Han, D. H., Hwang, J. W., & Renshaw, P. F. (2010). Bupropion sustained release treatment decreases craving for video games and cue-induced brain activity in patients with Internet video game addiction. Experimental and Clinical Psychopharmacology, 18(4), 297–304. https://doi.org/10.1037/a0020023

Han, T. S., Cho, H., Sung, D., & Park M.-H. (2022). A systematic review of the impact of COVID-19 on the game addiction of children and adolescents. Frontiers in Psychiatry, https://doi.org/10.3389/fpsyt.2022.976601

Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Academic Press: San Diego, CA, USA.

Higgins, J. P. T., & Green, S. (2011). Cochrane Handbook for Systematic Reviews of Interventions, The Cochrane Collaboration.

https://handbook-51.cochrane.org/chapter_9/9_1_3_why_perform_a_meta_analysis

_in_a_review.htm

Hilgard, J., Engelhardt, C. R., & Bartholow, B. D. (2013). Individual differences in motives, preferences, and pathology in video games: the gaming attitudes, motives, and experiences scales (GAMES). Frontiers in Psychology, 4, 608.

https://doi.org/10.3389/fpsyg.2013.00608

Hull, D. C., Williams, G. A., & Griffiths, M. D. (2013). Video game characteristics, happiness and flow as predictors of addiction among video game players: A pilot study. Journal of Behavioral Addictions, 2(3), 145-152. doi:10.1556/jba.2.2013.005

Hunter, J. E., & Schmidt, F. L. (1990). Dichotomization of continuous variables: The implications for meta-analysis. Journal of Applied Psychology, 75(3), 334. doi:10.1037/0021-9010.75.3.334

Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings. Sage: London, UK.

Hwang, M. I., & Schmidt, F. L. (2011). Assessing moderating effect in meta-analysis: A re-analysis of top management support studies and suggestions for researchers. European Journal of Information Systems, 20(6), 693-702.

Joseph, D., Ng, K.-Y., Koh, C., & Ang, S. (2007). Turnover of information technology professionals: a narrative review, meta-analytic structural equation modeling, and model development. MIS Quarterly, 31(3), 547-577.

Jung, D., Kim, E.Y., Jeong, S.H., & Hahm, B.J. (2016). Higher Immersive Tendency in Male University Students with Excessive Online Gaming. In: Serino, S., Matic, A., Giakoumis, D., Lopez, G., & Cipresso, P. (eds.), Pervasive Computing Paradigms for Mental Health. MindCare 2015. Communications in Computer and Information Science, Vol. 604. Springer: Cham, Switzerland. https://doi.org/10.1007/978-3-319-32270-4_16

Juthamanee, S., & Gunawan, J. (2021). Factors related to Internet and game addiction among adolescents: A scoping review. Belitung Nursing Journal, 7(2), 62-71. doi:10.33546/bnj.1192

Karmakar, I. (2020). A Review of IT Addiction in IS Research. In AMCIS Proceedings. 19.

Salt Lake City, UT, USA August 13-15, 2020 (virtual).

https://aisel.aisnet.org/amcis2020/adoption_diffusion_IT/adoption_diffusion_IT/19

Kaur, P., Dhir, A., Chen, S. F., & Rajala, R. (2016). Understanding online regret experience using the theoretical lens of flow experience. Computers in Human Behavior, 57, 230-239.

Krath, J., Schürmann, L., & Von Korflesch, H. F. (2021). Revealing the theoretical basis of gamification: A systematic review and analysis of theory in research on gamification, serious games and game-based learning. Computers in Human Behavior, 125, 106963.

Kunz, R. E., & Santomier, J. P. (2019). Sport content and virtual reality technology acceptance. Sport, Business and Management: An International Journal, 10(1), 83–103.

Khang, H., Kim, J. K., & Kim, Y. (2013). Self-traits and motivations as antecedents of digital media flow and addiction: The Internet, mobile phones, and video games. Computers in Human Behavior, 29(6), 2416-2424. doi:10.1016/j.chb.2013.05.027

Kim, H. S., Son, G., Roh, E. B., Ahn W. Y., Kim, J., Shin, S. H., Chey, J., Choi, K. H. (2022). Prevalence of gaming disorder: A meta-analysis. Addictive Behaviors, 126, 107183. doi: 10.1016/j.addbeh.2021.107183.

Kim, M. G., & Kim, J. (2010). Cross-validation of reliability, convergent and discriminant validity for the problematic online game use scale. Computers in Human Behavior, 26(3), 389-398. doi:10.1016/j.chb.2009.11.010

Kim, N. R., Hwang, S. S.-H., Choi, J.-S., Kim, D.-J., Demetrovics, Z., Király, O., & Youn, H. C. (2016). Characteristics and psychiatric symptoms of Internet gaming disorder among adults using self-reported DSM-5 criteria. Psychiatry Investigation, 13(1), 58. doi:10.4306/pi.2016.13.1.58

King, D. L., & Delfabbro, P. H. (2016). The cognitive psychopathology of Internet gaming disorder in adolescence. Journal of Abnormal Child Psychology, 44(8), 1635-1645.

King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755. doi:10.1016/j.im.2006.05.003

Király, O., Griffiths, M. D., King, D. L., Lee, H.-K., Lee, S.-Y., Bányai, F., & Demetrovics, Z. (2018). Policy responses to problematic video game use: A systematic review of current measures and future possibilities. Journal of Behavioral Addictions, 7(3), 503-517. doi:10.1556/2006.6.2017.050

Kuss, D. J., & Griffiths, M. D. (2012). Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278-296.

Kuss, D. J., & Lopez-Fernandez, O. (2016). Internet addiction and problematic Internet use: A systematic review of clinical research. World Journal of Psychiatry, 6(1), 143. doi:10.5498/wjp.v6.i1.143

Kuss, D. J., Louws, J., & Wiers, R. W. (2012). Online gaming addiction? Motives predict addictive play behavior in massively multiplayer online role-playing games. Cyberpsychology, Behavior, and Social Networking, 15(9), 480-485. doi:10.1089/cyber.2012.0034

Larsen, K. R., & Bong, C. H. (2016). A tool for addressing construct identity in literature reviews and meta-analysis. MIS Quarterly, 40(3), 529-552.

Lee, M.-S., Ko, Y.-H., Song, H.-S., Kwon, K.-H., Lee, H.-S., Nam, M., & Jung, I.-K. (2006). Characteristics of Internet use in relation to game genre in Korean adolescents. Cyberpsychology & Behavior, 10(2), 278-285. doi:10.1089/cpb.2006.9958

Lemmens, J. S., Valkenburg, P. M., & Peter, J. (2009). Development and validation of a game addiction scale for adolescents. Media Psychology, 12(1), 77-95. doi:10.1080/15213260802669458

Lin, J. B., Lin, S. Z., Turel, O., & Xu, F. (2020). The buffering effect of flow experience on the relationship between overload and social media users' discontinuance intentions. Telematics and Informatics, 49, 101374.

Liu, C.-C., & Chang, I.-C. (2016). Model of online game addiction: The role of computer-mediated communication motives. Telematics and Informatics, 33(4), 904-915. doi:10.1016/j.tele.2016.02.002

Liu, C.-Y., & Kuo, F.-Y. (2007). A study of Internet addiction through the lens of the interpersonal theory. Cyberpsychology & Behavior, 10(6), 799-804. doi:10.1089/cpb.2007.9951

Liu, E. Z. F. (2011). Avoiding Internet addiction when integrating digital games into teaching. Social Behavior and Personality: An International Journal, 39(10), 1325-1335. doi:10.2224/sbp.2011.39.10.1325

Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing (JOEUC), 16(1), 59-72. doi:10.4018/joeuc.2004010104

Mathews, C. L., Morrell, H. E., & Molle, J. E. (2019). Video game addiction, ADHD symptomatology, and video game reinforcement. The American Journal of Drug and Alcohol Abuse, 45(1), 67-76.

Mentzoni, R. A., Brunborg, G. S., Molde, H., Myrseth, H., Skouverøe, K. J. M., Hetland, J., & Pallesen, S. (2011). Problematic video game use: estimated prevalence and associations with mental and physical health. Cyberpsychology, Behavior, and Social Networking, 14(10), 591-596. doi:10.1089/cyber.2010.0260

Moed, H. F., & Halevi, G. (2015). Multidimensional assessment of scholarly research impact. Journal of the Association for Information Science and Technology, 66(10), 1988-2002.

Na, E., Choi, I., Lee, T.-H., Lee, H., Rho, M. J., Cho, H., & Kim, D.-J. (2017). The influence of game genre on Internet gaming disorder. Journal of Behavioral Addictions, 6(2), 248-255. doi:10.1556/2006.6.2017.033

Naglis, M., & Bhatiasevi, V. (2019). Why do people use fitness tracking devices in Thailand? An integrated model approach. Technology in Society, 58, 101146.

Ng, B. D., & Wiemer-Hastings, P. (2005). Addiction to the Internet and online gaming. Cyberpsychology & Behavior, 8(2), 110-113. doi:10.1089/cyber.2010.0260

Oggins, J., & Sammis, J. (2012). Notions of video game addiction and their relation to self-reported addiction among players of World of Warcraft. International Journal of Mental Health and Addiction, 10(2), 210-230. doi:10.1007/s11469-010-9309-y

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., & Brennan, S. E. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372. doi:10.1136/bmj.n71

Park, S., & Hwang, H.S. (2009). Understanding Online Game Addiction: Connection between Presence and Flow. In: Jacko, J.A. (eds) Human-Computer Interaction. Interacting in Various Application Domains. HCI 2009. Lecture Notes in Computer Science, vol 5613. Springer: Berlin, Heidelberg, Germany. https://doi.org/10.1007/978-3-642-02583-9_42

Pigott, T. (2012). Advances in Meta-analysis. Springer Science & Business Media: New York, USA

Psychguides.com (n.d.). Video Game Addiction Symptoms, Causes and Effects. https://www.psychguides.com/behavioral-disorders/video-game-addiction/ (accessed 14 October 2021).

Rau, P.-L. P., Peng, S.-Y., & Yang, C.-C. (2006). Time distortion for expert and novice online game players. Cyberpsychology & Behavior, 9(4), 396-403. doi:10.1089/cpb.2006.9.396

Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006). Information system success: Individual and organizational determinants. Management Science, 52(12), 1849-1864.

doi:10.1287/mnsc.1060.0583

Sandberg, J., & Alvesson, M. (2011). Ways of constructing research questions: gap-spotting or problematization. Organization, 18, 1, 23-44.

Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103. doi:10.1016/j.im.2006.10.007

Schmidt, F. L., Caplan, J. R., Bemis, S. E., Decuir, R., Dunn, L., & Anton, L. (1979). The Behavioral Consistency Method of Unassembled Examining (TM-79:21) Office of Personnel Management, Personnel Resources and Development Center. Washington, DC: USA.

Seah, M.-l., & Cairns, P. (2008). From immersion to addiction in videogames. People and Computers XXII Culture, Creativity, Interaction, 22, 55-63. doi:10.14236/ewic/HCI2008.6

Seay, A. F., & Kraut, R. E. (2007). Project massive: Self-regulation and problematic use of online gaming. In Proceedings of the SIGCHI conference on Human factors in computing systems (829-838). April 2007, San Jose, CA, USA. doi:10.1145/1240624.1240749

Sharma, R., & Yetton, P. (2003). The contingent effects of management support and task interdependence on successful information systems implementation. MIS Quarterly 27(4), 533-556.

Shields, P. M. & Tajalli, H. (2006). Intermediate theory: The missing link to successful student scholarship. Journal of Public Affairs Education, 12(3), pp. 313-334.

Snodgrass, J. G., Dengah, H. F., Lacy, M. G., & Fagan, J. (2013). A formal anthropological view of motivation models of problematic MMO play: Achievement, social, and immersion factors in the context of culture. Transcultural Psychiatry, 50(2), 235-262. doi:10.1177/1363461513487666

Snodgrass, J. G., Lacy, M. G., Dengah II, H. F., Eisenhauer, S., Batchelder, G., & Cookson, R. J. (2014). A vacation from your mind: Problematic online gaming is a stress response. Computers in Human Behavior, 38, 248-260. doi:10.1016/j.chb.2014.06.004

Son, D. T., Yasuoka, J., Poudel, K. C., Otsuka, K., & Jimba, M. (2013). Massively multiplayer online role-playing games (MMORPG): association between its addiction, self-control and mental disorders among young people in Vietnam. International Journal of Social Psychiatry, 59(6), 570-577. doi:10.1177/0020764012445861

Sun, Y., Zhao, Y., Jia, S.-Q., & Zheng, D.-Y. (2015). Understanding the Antecedents of Mobile Game Addiction: The Roles of Perceived Visibility, Perceived Enjoyment and Flow. PACIS 2015 Proceedings. 141. July 5-9, 2015, Singapore.

https://aisel.aisnet.org/pacis2015/141

Valentine, J. C., Pigott, T. D., & Rothstein, H. R. (2010). How many studies do you need? A primer on statistical power for meta-analysis. Journal of Educational and Behavioral Statistics, 35(2), 215-247. doi:10.3102/1076998609346961

Valinatajbahnamiri, M., & Siahtiri, V. (2020). Flow in computer-mediated environments: A systematic literature review. International Journal of Consumer Studies, 45, 511-545. doi:10.1111/ijcs.12640

Van Rooij, A. J., Schoenmakers, T. M., Vermulst, A. A., Van Den Eijnden, R. J., & Van De Mheen, D. (2011). Online video game addiction: identification of addicted adolescent gamers. Addiction, 106(1), 205-212. doi:10.1111/j.1360-0443.2010.03104.x

Verma, D., Dewani, P. P., Behl, A., Pereira, V., Dwivedi, Y., & Del Giudice, M. (2023). A meta-analysis of antecedents and consequences of eWOM credibility: Investigation of moderating role of culture and platform type. Journal of Business Research, 154, 113292.

Wan, C.-S., & Chiou, W.-B. (2006). Psychological motives and online games addiction: Atest of flow theory and humanistic needs theory for Taiwanese adolescents. Cyberpsychology & Behavior, 9(3), 317-324. doi:10.1089/cpb.2006.9.317

Wang, H.-Z., Sheng, J.-R., & Wang, J.-L. (2019). The association between mobile game addiction and depression, social anxiety, and loneliness. Frontiers in Public Health, 7, 247.

Wei, H.-T., Chen, M.-H., Huang, P.-C., & Bai, Y.-M. (2012). The association between online gaming, social phobia, and depression: an Internet survey. BMC Psychiatry, 12(1), 92. doi:10.1186/1471-244X-12-92

Whitener, E. M. (1990). Confusion of confidence intervals and credibility intervals in meta-analysis. Journal of Applied Psychology., 75(3), 315-321. doi:10.1037/0021-9010.75.3.315

WHO (2018). Gaming disorder. Retrieved from http://www.who.int/features/qa/gaming-disorder/en/ (Last accessed on 14 September 2023).

Wu, J.-H., Wang, S.-C., & Tsai, H.-H. (2010). Falling in love with online games: The uses and gratifications perspective. Computers in Human Behavior, 26(6), 1862-1871.

Wu, J., & Lederer, A. (2009). A meta-analysis of the role of environment-based voluntariness in information technology acceptance. MIS Quarterly, 33(2), 419-432.

Wu, J., & Lu, X. (2013). Effects of extrinsic and intrinsic motivators on using utilitarian, hedonic, and dual-purposed information systems: A meta-analysis. Journal of the Association for Information Systems, 14(3), 1.

Wu, P.-C. (2013). Addictive behavior in relation to the Happy Farm Facebook application. Social Behavior and Personality: An International Journal, 41(4), 539-553.

doi:10.2224/sbp.2013.41.4.539

Wu, T.-C., Scott, D., & Yang, C.-C. (2013). Advanced or addicted? Exploring the relationship of recreation specialization to flow experiences and online game addiction. Leisure Sciences, 35(3), 203-217. doi:10.1080/01490400.2013.780497

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.

Yee, N. (2006a). Motivations for Play in Online Games. CyberPsychology and Behavior, 9(6), 772-775. doi:10.1089/cpb.2006.9.772

Yee, N. (2006b). The Psychology of Massively Multi-User Online Role-Playing Games: Motivations, Emotional Investment, Relationships and Problematic Usage. In Schroeder, R., & Axelsson, A.S. (eds), Avatars at Work and Play. Computer Supported Cooperative Work, vol 34. Springer: Dordrecht, The Netherlands. https://doi.org/10.1007/1-4020-3898-4_9

Yen, J.-Y., Liu, T.-L., Wang, P.-W., Chen, C.-S., Yen, C.-F., & Ko, C.-H. (2017). Association between Internet gaming disorder and adult attention deficit and hyperactivity disorder and their correlates: Impulsivity and hostility. Addictive Behaviors, 64, 308-313.

Young, K. S., & Rogers, R. C. (1998). The Relationship Between Depression and Internet Addiction. CyberPsychology and Behavior, 1(1), 25-28. doi:10.1089/cpb.1998.1.25

Zhan, J. D., & Chan, H. C. (2012). Government regulation of online game addiction. Communications of the Association for Information Systems, 30(1), 13.

doi:10.17705/1CAIS.03013

Zhang, K. Z., Chen, C., Zhao, S. J., & Lee, M. K. (2016). Failure to decrease the addictive use of information systems: An empirical investigation of smartphone game addiction. In Proceedings of the 20th Pacific Asia Conference on Information Systems (PACIS 2016), June 27 - July 1, 2016. Chiayi, Taiwan. https://aisel.aisnet.org/pacis2016/121

Zhong, Z.-J., & Yao, M. Z. (2013). Gaming motivations, avatar-self identification and symptoms of online game addiction. Asian Journal of Communication, 23(5), 555-573. doi:10.1080/01292986.2012.748814

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2023-10-18

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Li, M., Hui, W., & Reiners, T. (2023). Investigating the Moderating Effect of Massively Multiplayer Online (MMO) Games on the Correlation Between Flow and Game Addiction: A Meta-Analysis. Australasian Journal of Information Systems, 27. https://doi.org/10.3127/ajis.v27i0.3995

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