Main Article Content
The number of internet gamers and money spent on online games is increasing dramatically under the impact of the COVID-19 pandemic. This study aimed to investigate the role of in-game content purchase intention as the mediator between sociopsychological determinants and internet gaming disorder. 410 internet gamers aged 15 to 40 who purchased in-game content were recruited. The Socio-psychological Determinants Checklist (SPCL-15), In-game Content Purchase Intention Scale (ICPIS), and Internet Gaming Disorder Scale-Short Form were used to assess sociopsychological factors, in-game content purchase intention, and gaming addiction. The bootstrap method was used for mediation analysis to test the relationship between sociopsychological determinants and internet gaming disorder through in-game content purchase intention. The findings revealed that there were significant correlations between sociopsychological determinants and internet gaming disorder, as well as in-game content purchase intention. The intermediary analysis discovered that in-game content purchase intention was a mediator between sociopsychological determinants and internet gaming disorder. Intervention and policy for internet gaming should be addressed as preventive measures on internet gaming disorder.
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American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Association.
Bengtsson, T.T., Bom, L. H., & Fynbo, L. (2021). Playing apart together: Young people’s online gaming during the COVID-19 lockdown. SAGE Publications and YOUNG Editorial Group, 29(4S), 65S-80S. http://doi.org/10.1177/11033088211032018
Chen, I. H., Strong, C., Lin, Y. C., Tsai, M. C., Leung, H., Lin, C. Y., Pakpour, A. M., & Griffiths, M. D. (2019). Time invariance of three ultra-brief internet-related instruments: Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item Internet Gaming Disorder Scale- Short Form (IGDS-SF9) (Study Part B). Addictive Behaviors, 101. 105960. https://doi.org/10.1016/j.addbeh.2019.04.018.
Chiu, S.-I., Lee, J.-Z., & Huang, D.-H. (2004). Video game addiction in children and teenagers in Taiwan. CyberPsychology & Behavior, 7, 571–581. http://doi.org/10.1089/cpb.2004.7.571
Choi, S. W., Kim, D. J., Coi, J. S., Ahn, H., Choi, E.J., Song, W. Y., Kim, S., & Youn, H. (2015). Comparison of risk and protective factors associated with smartphone addiction and internet addiction. Journal of Behavioral Addiction, 4(4), 308-314. http://doi.org/10.1556/2006.4.2015.043.
Coleman, H., & Unrau, Y. (2008). Social work research and evaluation: Foundations of evidence-based practice. Oxford University Press.
Choo, H., Sim, T., Liau, A. K. F., Gentile, D. A., & Khoo, A. (2015). Parental influences on pathological symptoms of video-gaming among children and adolescents: A prospective study. Journal of Child and Family Studies, 24, 1429–1441. http://doi.org/10.1007/s10826-014-9949-9
Chung, Y. Y. H. (2021). The impact of COVID-19 and sociopsychological determinants on Chinese game players: A cross-sectional study. International Journal Psychology and Behavior, 11(2), 31-39. http://doi.org/10.5923/j.ijpbs.20211102.02
Chung, Y. Y. H. & Lau, L. Y. E. (2021). In-game content purchase intention scale (ICPIS): Scale development and validation. International Journal Psychology & Behavior, 11(3), 47-52. http://doi.org/10.5923/j.ijpbs.20211103.02
Darvesh, N., Radhakrishnan, A., Lachance, C.C., Nincic, V., Sharpe, J.P., Ghassemi, M., Straus, S.E., & Tricco, A. C. (2021). Exploring the prevalence of gaming disorder and internet gaming disorder: A rapid scoping review. Systematic Reviews, 9, 68-77. https://doi.org/10.1186/s13643-020-01329-2
Davydov, D., Stewart, R., Ritchie, K., & Chaudieu. I. (2010). Resilience and mental health. Clinical Psychology Review, Elsevier,30(5), 479-95. https://doi.org/10.1016/j.cpr.2010.03.003f
Hamari, J., Alha, K., Jarvela, S., Kivikangas, J. M., Koivisto, J., & Paavilainen, J. (2017). Why do players buy in-game content? An empirical study on concrete purchase motivations. Computer in Human Behavior, 68, 538-546. https://doi.org/10.1016/j.chb.2016.11.045
Han, B. & Windsor, J. (2013). An investigation of the smartphone user’s in-game purchase intention. International Journal of Mobile Communications, 11(6), 617-635. https://doi.org/10.1504/IJMC.2013.057818
Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guilford Press.
Lee, J., Suh, E., Park, H., & Lee, S. (2018). Determinants of users’ intention to purchase probability-based items in mobile social network games: A case of South Korea. IEEE Access, 6, 12425-12437. https://doi.org/10.1109/ACCESS.2018.2806078
Lehdonvirta, V. (2009). Virtual item sales as a revenue model: Identifying attributes that drive purchase decisions. Electronic Commerce Research, 9(1-2), 97-113. https://doi.org/10.1007/s10660-009-9028-2
Li, W., Mills, D., & Nower, L. (2019). The relationship of loot box purchases to problem video gaming and problem gambling. Addictive Behaviors, 97, 27-34. https://doi.org/10.1016/j.addbeh.2019.05.016
Newzoo (2022). Newzoo Gobal Games Market Report 2022, Retrieved from the Internet, https://newzoo.com/insights/trend-reports/newzoo-global-games-market-report-2022-free-version (Accessed on August 26, 2022).
Taechoyotin, P., Tongrod, P., Thaweeruntrungkul, T., Towattananon, N., Teeapakvisit, P., Aksornpusitpong, C., Sathapornpunya, W., Hempatawee, N., Rangsin, R., Mungthin, Piyaraj, P. (2020). Prevalence and associated factors of internet gaming disorder among secondary school students in rural community, Thailand: A cross-sectional study. BMC Research Notes, 13(11). https://doi.org/10.1186/s13104-019-4862-3
Tsui, Y. Y. Y., & Cheng, C. (2021). Internet gaming disorder, risky online behavior, and mental health in Hong Kong adolescents: The beneficial role of psychological resilience. Frontiers in Psychiatry, 12, Article 722353. http://doi.org/10.3389/fpsyt.2021.722353
Wohn, D. Y. (2014). Spending real money: Purchasing patterns of virtual goods in an online social game. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 3359-3368). https://doi.org/10.1145/2556288.2557074
Zhu, S., Zhuang, Y., Lee, P., Li, J. C., & Wong, P. W. C. (2021). Leisure and problem gaming behaviors among children and adolescents during school closures caused by COVID-19 in Hong Kong: Quantitative cross-sectional survey study. JMIR Serious Games, 9(2), e26808, https//doi.org/10.2196/26808.