Các yếu tố ảnh hưởng đến việc mua hàng hóa ảo trong game bắn súng dựa trên lý thuyết trạng thái dòng chảy

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Catalán, S., Martínez, E., & Wallace, E. (2019). The role of flow for mobile advergaming effectiveness. Online Information Review, 43(7), 1228-1244. https://doi.org/10.1108/OIR-06-2018-0198

Chang, I.-C., Liu, C.-C., & Chen, K. (2014). The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games. Internet Research, 24(1), 21-45. https://doi.org/10.1108/IntR-02-2012-0025

Chen, S.-H., Wu, W.-Y., & Dennison, J. (2018). Validation of egameflow: A self-report scale for measuring user experience in video game play. Computers in Entertainment, 16(3), 1-15. https://doi.org/10.1145/3238249

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Csikszentmihalyi, M. (2012). Beyond boredom and anxiety. Jossey-Bass Publishers.

Dam, C. T. (2020). Influence of brand trust, perceived value on brand preference and purchase intention. Journal of Asian Finance Economics and Business, 7(10), 939-947. https://doi.org/10.13106/jafeb.2020.vol7.no10.939

Duarte, P., & Silva, S. (2018). The role of consumer-cause identification and attitude in the intention to purchase cause-related products. International Marketing Review, 37(4), 603-620. https://doi.org/10.1108/IMR-04-2018-0159

eZstah. (2024). CS2 player statistics: Player count, country distribution, and gender statistics. https://profilerr.net/cs2-player-statistics/

Fu, J., & Mao, Q. (2023). A study on the influence of impulsive purchase intentions. Academic Journal of Management and Social Sciences, 2(3), 9-11. https://doi.org/10.54097/ ajms s . v2i3.7970

Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human - Computer interaction. The Journal of Psychology, 128(4), 381-391. https://doi.org/10.1080/00223980.1994.9712742

Ghazali, E., Al Halbusi, H., Fadi, F. A. M. A., Uzir, M., Mutum, D., & Tan, F.-L. (2023). A study of player behavior and motivation to purchase Dota 2 virtual in game items. Kybernetes, 52(6), 1937-1961. https://doi.org/10.1108/K-08-2021-0678

Ghazali, E., Mutum, D., & Woon, M.-Y. (2018). Exploring player behavior and motivations to continue playing Pokémon GO. https://doi.org/10.1108/ITP-07-2017-0216

Global Data. (2023). Esports market size, share, trends and analysis by region, revenue stream, gaming genre and segment forecast to 2030. https://www.globaldata.com/store/report/ esports-market-analysis/

Goli, M. (2021). Users’ in-game purchase intention: The effects of flow experience and satisfaction. Journal of Electronic Commerce in Organizations, 19(4), 1-19. https://doi.org/10.4018/JECO.2021100101

Hair, J. F., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis: A global perspective. Pearson Education Limited.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.

Hair, J. F., Hult, T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203

Hamari, J. (2015). Why do people buy virtual goods? Attitude towards virtual good purchases versus game enjoyment. International Journal of Information Management, 35(3), 299-308. https://doi.org/10.1016/j.ijinfomgt.2015.01.007

Hamari, J., & Keronen, L. (2017). Why do people buy virtual goods: A meta-analysis. Computers in Human Behavior, 71(1), 59-69. https://doi.org/10.1016/j.chb.2017.01.042

Hamari, J., Alha, K., Järvelä, S., Kivikangas, J. M., Koivisto, J., & Paavilainen, J. (2017). Why do players buy in-game content? An empirical study on concrete purchase motivations. Computers in Human Behavior, 68(1), 538-546. https://doi.org/10.1016/j.chb.2016.11.045

Hamari, J., Hanner, N., & Koivisto, J. (2020). “Why pay premium in freemium services?” A study on perceived value, continued use and purchase intentions in free-to-play games. International Journal of Information Management, 51(1), 1-15. https://doi.org/10.1016/j.ijinfomgt.2019.102040

Harris, D., Vine, S., & Wilson, M. (2018). An external focus of attention promotes flow experience during simulated driving. European Journal of Sport Science, 19(6), 1-10. https://doi.org/10.1080/17461391.2018.1560508

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Hoffman, D., & Novak, T. (1997). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68. https://doi.org/10.2307/1251 841

Hsiao, K.-L., & Chen, C.-C. (2016). What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty. Electronic Commerce Research and Applications, 16(1), 18-29. https://doi.org/10.1016/j.elerap.2016.01.001

Hsu, C.-L., Chang, K., & Chen, M.-C. (2012). Flow experience and Internet shopping behavior: Investigating the moderating effect of consumer characteristics. Systems Research and Behavioral Science, 29(3), 317-332. https://doi.org/10.1002/sres.1101

Huang, H. C., Huang, L. S., Chou, Y. J., & Teng, C. I. (2017). Influence of temperament and character on online gamer loyalty: Perspectives from personality and flow theories. Computers in Human Behavior, 70(1), 398-406. https://doi.org/10.1016/j.chb.2017.01.009

Huang, J., Yan, E., Cheung, G., Nagappan, N., & Zimmermann, T. (2017). Master maker: Understanding gaming skill through practice and habit from gameplay behavior. Topics in Cognitive Science, 9(2), 437-466. https://doi.org/10.1111/tops.12251

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Jin, S.-A. A. (2011). “I feel present. Therefore, I experience flow:” A structural equation modeling approach to flow and presence in video games. Journal of Broadcasting & Electronic Media, 55(1), 114-136. https://doi.org/10.1080/08838151.2011.546248

Kahn, A. S., Shen, C., Lu, L., Ratan, R. A., Coary, S. P., Hou, J. (Jove), Meng, J., Osborn, J., & Williams, D. (2015). The trojan player typology: A cross-genre, cross-cultural, behaviorally validated scale of video game play motivations. Computers in Human Behavior, 49(1), 354-361.

King, D. L., Gainsbury, S. M., Delfabbro, P. H., Hing, N., & Abarbanel, B. (2015). Distinguishing between gaming and gambling activities in addiction research. Journal of Behavioral Addictions, 4(4), 215-220. https://doi.org/10.1556/2006.4.2015.045

Korzaan, M. (2003). Going with the flow: Predicting online purchase intentions. Journal of Computer Information Systems, 43(4), 25-31. https://doi.org/10.1080/08874417.20031164 7530

Kowert, R., Domahidi, E., & Quandt, T. (2014). The relationship between online video game involvement and gaming-related friendships among emotionally sensitive individuals. Cyberpsychology, Behavior and Social Networking, 17(7), 447-453. https://doi.org/10.1089/cyber.2013.0656

Larche, C., & Dixon, M. (2020). The relationship between the skill-challenge balance, game expertise, flow and the urge to keep playing complex mobile games. Journal of Behavioral Addictions, 9(3), 606-616. https://doi.org/10.1556/2006.2020.00070

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(1), 12425-12437. https://doi.org/10.1109/ACCESS.2018.2806078

Lee, M.-C. (2009). Understanding the behavioral intention to play online games: An extension of the theory of planned behavior. Online Information Review, 33(5), 849-872. https://doi.org/10.1108/14684520911001873

Lee, M.-C., & Tsai, T.-R. (2010). What drives people to continue to play online games? An extension of technology model and theory of planned behavior. International Journal of Human-Computer Interaction, 26(6), 601-620. https://doi.org/10.1080 /104473110 037813 18

Lee, Y.-H., & Wohn, D. (2012). Are there cultural differences in how we play? Examining cultural effects on playing social network games. Computers in Human Behavior, 28(4), 1307-1314. https://doi.org/10.1016/j.chb.2012.02.014

Li, H., Liu, Y., Xu, X., Heikkilä, J., & van der Heijden, H. (2015). Modeling hedonic is continuance through the uses and gratifications theory: An empirical study in online games. Computers in Human Behavior, 48(1), 261-272. https://doi.org/10.1016/j.chb.2015.01.053

Liu, C.-C. (2017). A model for exploring players flow experience in online games. Information Technology & People, 30(1), 139-162. https://doi.org/10.1108/ITP-06-2015-0139

Liu, H.-J., & Shiue, Y.-C. (2014). Influence of Facebook game players’ behavior on flow and purchase intention. Social Behavior and Personality: An International Journal, 42(1), 125-133. https://doi.org/10.2224/sbp.2014.42.1.125

Marchand, A., & Hennig-Thurau, T. (2013). Value creation in the video game industry: Industry economics, consumer benefits, and research opportunities. Journal of Interactive Marketing, 27(3), 141-157. https://doi.org/10.1016/j.intmar.2013.05.001

Martins, J., Costa, C., Oliveira, T., Gonçalves, R., & Branco, F. (2019). How smartphone advertising influences consumers’ purchase intention. Journal of Business Research, 94(1), 378-387. https://doi.org/10.1016/j.jbusres.2017.12.047

Merhi, M. (2016). Towards a framework for online game adoption. Computers in Human Behavior, 60(1), 253-263. https://doi.org/10.1016/j.chb.2016.02.072

Mirvis, P., & Csikszentmihalyi, M. (1991). Flow: The psychology of optimal experience. The Academy of Management Review, 16(3), 636-640. https://doi.org/10.2307/258925

Moneta, G. B., & Csikszentmihalyi, M. (1996). The effect of perceived challenges and skills on the quality of subjective experience. Journal of Personality, 64(2), 275-310. https://doi.org/10.1111/j.1467-6494.1996.tb00512.x

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O’Donnell, S., Taylor, P., Vincent, C. D., Scott-Storey, K., Wuest, J., & Malcolm, J. (2024). Masculinity and violence interconnectedness: Defining and reconciling the gender paradox among men with cumulative lifetime violence histories. SAGE Open, 14(3), 1-13. https://doi.org/10.1177/21582440241266998

Rodríguez-Sánchez, A. M., Schaufeli, W. B., Salanova, M., & Cifre, E. (2008). Flow experience among information and communication technology users. Psychological Reports, 102(1), 29-39. https://doi.org/10.2466/pr0.102.1.29-39

Shelstad, W. J. (2022). The cost of playing the game: Modeling in-game purchase the cost of playing the game: Modeling in-game purchase intention and investigating purchase behavior of mobile gamers intention and investigating purchase behavior of mobile gamers. https://commons.erau.edu/edt

Su, Y.-S., Chiang, W.-L., Lee, C., & Chang, H. (2016). The effect of flow experience on player loyalty in mobile game application. Computers in Human Behavior, 63(1), 240-248. https://doi.org/10.1016/j.chb.2016.05.049

Teng, C.-I., Chen, M.-Y., Chen, Y.-J., & Li, Y.-J. (2012). Loyalty due to others: The relationships among challenge, interdependence, and online gamer loyalty. Journal of Computer-Mediated Communication, 17(4), 489-500. https://doi.org/10.1111/j.1083-6101.2012.01586.x

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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. https://doi.org/10.1016/j.chb.2010.07.033

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

Yee, N. (2006). Motivations for play in online games. CyberPsychology & Behavior, 9(6), 772-775. https://doi.org/10.1089/cpb.2006.9.772

Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091. https://doi.org/10.1016/j.dss.2012.10.034

Zhou, T. (2015). The effect of network externality on mobile social network site continuance. Program, 49(3), 289-304. https://doi.org/10.1108/PROG-10-2014-0078

Zhou, T. (2019). The effect of flow experience on users’ social commerce intention. https://doi.org/10.1108/K-03-2019-0198

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