研究生: |
李奕德 Lee, Yi-Te |
---|---|
論文名稱: |
手機線上遊戲使用經驗對消費者遊戲內購買意願之影響 The influence of customers' mobile phone online game experiences on in-game purchase intention |
指導教授: |
黃瀞瑩
Chuang, Ching-Ying |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 中文 |
論文頁數: | 124 |
中文關鍵詞: | 計畫行為理論 、互動 、忠誠度 、遊戲內購買意願 |
外文關鍵詞: | Theory of planned behavior, flow, interaction, in-game purchase intention |
相關次數: | 點閱:135 下載:21 |
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現今手機線上遊戲的主要收費方式,以付費下載手機線上遊戲、遊戲內廣告收入以及虛擬道具購買,三種方式為最主要的收益來源。其中,進行遊戲內購買意圖之相關的研究,較其他兩類少,因此,本研究希望能透過研究手機線上遊戲使用者之心理因素,增加其進行遊戲內購買之意圖。
本研究核心目的為透過手機線上遊戲使用者的使用經驗,探討手機線上遊戲之忠誠度與其進行遊戲內購買之意圖的影響。以Ajzen (1991)建立之計畫行為理論為基礎,加入兩種不同類別之互動:人機互動與社交互動以及沉浸體驗,探討互動對於態度、主觀規範以及知覺行為控制之影響;以及對於該款手機線上遊戲之忠誠度;最終探討忠誠度對於遊戲內購買意圖之影響。並探討使用者手機成癮與否、其用於搜尋手機線上遊戲相關之社群媒體以及遊戲內是否具有聊天系統等,是否對於使用者之遊戲內購買意圖有影響。
研究結果顯示,互動除透過沉浸對使用者之於手機線上遊戲之態度造成影響之外,確立人機互動對於知覺行為控制、社交互動對於主觀規範之顯著正向影響;此外,使用者對於該款手機線上遊戲的忠誠度,在態度與主觀規範上之正向影響大於知覺行為控制之影響。其他人口統計變項以聊天系統之影響最為顯著,具有聊天系統之手機線上遊戲可以強化使用者社交互動以及主觀規範,增加其對於手機線上遊戲之忠誠度與遊戲內購買意圖。然而,社群媒體對於使用者之影響於本研究中並不顯著,未來研究可以透過實驗法或其他分群方式,找出何者較顯著影響使用者之忠誠度與遊戲內購買意圖。
There are three main profitable way of mobile online games: paid for download, in-game advertising revenue, and in-game virtual item purchase. Despite other two categories, there are fewer studies on in-game purchase intention. Therefore, this study aims to increase users in-game purchase intention by investigate the psychological factors.
In this study, base on Theory of Planned Behavior (TPB), interaction and flow are added Besides, three TPB factors’ impact on loyalty are observed. Also, the influence of loyalty on in-game purchase intention is discussed. Furthermore, this study also explores whether users’ other information have an impact on their in-game purchase intention, such as mobile phone addiction, social media, in-game chat system, etc.
The results show that in addition to the influence of flow on users’ attitude towards mobile online games, human-computer interaction and social interaction also has a significant positive influence on perceived behavior control and subjective norm. Besides, the positive relationship between attitude and loyalty and between subjective norm and loyalty are greater than the relationship between perceived behavior control. Chat system has impact on social interaction and subjective norm. However, social media’ impact is not significant in this study and need to be reclassified in order to find whether it has influence.
王晔, & 高文斌. (2008). 重度网络游戏成瘾者心理行为特征的研究.
朱文禎, & 陳哲賢. (2007). 探討虛擬社群之知識分享行為: 以線上遊戲社群為例. Electronic Commerce Studies, 5(1), 55-80.
張偉豪. (2011). SEM 論文寫作不求人: 三星統計發行.
黃芳銘. (2007). 結構方程模式: 理論與應用 (五版). 台北: 五南.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. Retrieved from https://dx.doi.org/10.1016/0749-5978(91)90020-T. doi:10.1016/0749-5978(91)90020-t
Ajzen, I. (2002). Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior 1. Journal of applied social psychology, 32(4), 665-683.
Alha, K., Koskinen, E., Paavilainen, J., & Hamari, J. (2016). Critical Acclaim and Commercial Success in Mobile Free-to-Play Games. Paper presented at the DiGRA/FDG.
Aljomaa, S. S., Qudah, M. F. A., Albursan, I. S., Bakhiet, S. F., & Abduljabbar, A. S. (2016). Smartphone addiction among university students in the light of some variables. Computers in Human Behavior, 61, 155-164.
Alzahrani, A. I., Mahmud, I., Ramayah, T., Alfarraj, O., & Alalwan, N. (2017). Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. Telematics and Informatics, 34(4), 239-251. Retrieved from https://dx.doi.org/10.1016/j.tele.2016.07.001. doi:10.1016/j.tele.2016.07.001
Amaro, S., & Duarte, P. (2015). An integrative model of consumers' intentions to purchase travel online. Tourism management, 46, 64-79.
Balakrishnan, J., & Griffiths, M. D. (2018). Loyalty towards online games, gaming addiction, and purchase intention towards online mobile in-game features. Computers in Human Behavior, 87, 238-246. Retrieved from https://dx.doi.org/10.1016/j.chb.2018.06.002. doi:10.1016/j.chb.2018.06.002
Bartlett, M. S. (1951). An inverse matrix adjustment arising in discriminant analysis. The Annals of Mathematical Statistics, 22(1), 107-111.
Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of consumer research, 15(4), 473-481.
Bentler, P. M. (1982). Confirmatory factor analysis via noniterative estimation: A fast, inexpensive method. Journal of Marketing Research, 19(4), 417-424.
Bentler, P. M. (1995). EQS structural equations program manual (Vol. 6): Multivariate software Encino, CA.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588.
Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39-51.
Bollen, K. A. (1989). Structural equations with latent variables Wiley. New York.
Bollen, K. A., & Long, J. S. (1993). Testing structural equation models (Vol. 154): Sage.
Bose, I., & Yang, X. (2011). Enter the Dragon: Khillwar’s foray into the mobile gaming market of China. Communications of the Association for Information Systems, 29(1), 29.
Carter, S., & Yeo, A. C.-M. (2016). Mobile apps usage by Malaysian business undergraduates and postgraduates. Internet Research.
Chang, H. H., & Chen, S. W. (2009). Consumer perception of interface quality, security, and loyalty in electronic commerce. Information & Management, 46(7), 411-417. Retrieved from https://dx.doi.org/10.1016/j.im.2009.08.002. doi:10.1016/j.im.2009.08.002
Cheung, C. M., Shen, X.-L., Lee, Z. W., & Chan, T. K. (2015). Promoting sales of online games through customer engagement. Electronic Commerce Research and Applications, 14(4), 241-250.
Cheung, M. F., & To, W.-M. (2017). The influence of the propensity to trust on mobile users' attitudes toward in-app advertisements: An extension of the theory of planned behavior. Computers in Human Behavior, 76, 102-111.
Chiu, W., Kim, T., & Won, D. (2018). Predicting consumers’ intention to purchase sporting goods online: An application of the model of goal-directed behavior. Asia Pacific Journal of Marketing and Logistics, 00-00. Retrieved from https://dx.doi.org/10.1108/APJML-02-2017-0028. doi:10.1108/apjml-02-2017-0028
Choi, D., & Kim, J. (2004). Why People Continue to Play Online Games: In Search of Critical Design Factors to Increase Customer Loyalty to Online Contents. CyberPsychology & Behavior, 7(1), 11-24. Retrieved from https://dx.doi.org/10.1089/109493104322820066. doi:10.1089/109493104322820066
Chou, T.-J., & Ting, C.-C. (2003). The role of flow experience in cyber-game addiction. CyberPsychology & Behavior, 6(6), 663-675.
Chu, S.-C., Chen, H.-T., & Sung, Y. (2016). Following brands on Twitter: an extension of theory of planned behavior. International Journal of Advertising, 35(3), 421-437. Retrieved from https://dx.doi.org/10.1080/02650487.2015.1037708. doi:10.1080/02650487.2015.1037708
Cleghorn, J., & Griffiths, M. D. (2015). Why Do Gamers Buy'Virtual Assets'?: An Insight in to the Psychology Behind Purchase Behaviour. Digital Education Review(27), 85-104.
Cole, H., & Griffiths, M. D. (2007). Social Interactions in Massively Multiplayer Online Role-Playing Gamers. CyberPsychology & Behavior, 10(4), 575-583. Retrieved from https://dx.doi.org/10.1089/cpb.2007.9988. doi:10.1089/cpb.2007.9988
Csikszentmihalyi, M. (1977). Beyond boredom and anxiety: Jossey-Bass.
Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of personality and social psychology, 56(5), 815.
Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information & Management, 43(8), 950-963. Retrieved from https://dx.doi.org/10.1016/j.im.2006.08.009. doi:10.1016/j.im.2006.08.009
Dat, C. T. (2014). Consumer behavior and marketing-mix strategy of mobile communication businesses in Vietnam. Doctorate Dissertation, National Economic University.
De Bruyn, A., & Lilien, G. L. (2008). A multi-stage model of word-of-mouth influence through viral marketing. International journal of research in marketing, 25(3), 151-163.
DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26): Sage publications.
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS quarterly, 453-461.
Doolin, B., Dillon, S., Thompson, F., & Corner, J. L. (2005). Perceived Risk, the Internet Shopping Experience and Online Purchasing Behavior. 13(2), 66-88. Retrieved from https://dx.doi.org/10.4018/jgim.2005040104. doi:10.4018/jgim.2005040104
Fedorikhin, A., Park, C. W., & Thomson, M. (2008). Beyond fit and attitude: The effect of emotional attachment on consumer responses to brand extensions. Journal of Consumer Psychology, 18(4), 281-291.
Flavián, C., Guinalíu, M., & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management, 43(1), 1-14. Retrieved from https://dx.doi.org/10.1016/j.im.2005.01.002. doi:10.1016/j.im.2005.01.002
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gainsbury, S. M., King, D. L., Russell, A. M., & Delfabbro, P. (2016). Who pays to play freemium games? The profiles and motivations of players who make purchases within social casino games. Journal of behavioral addictions, 5(2), 221-230.
George, J. F. (2002). Influences on the intent to make Internet purchases. 12(2), 165-180. Retrieved from https://dx.doi.org/10.1108/10662240210422521. doi:10.1108/10662240210422521
George, J. F. (2004). The theory of planned behavior and Internet purchasing. Internet Research, 14(3), 198-212. Retrieved from https://dx.doi.org/10.1108/10662240410542634. doi:10.1108/10662240410542634
Grewal, J. S. (1998). Punjab in Prosperity and Violence: Administration, Politics and Social Change 1947-1997: KK Publ.
Guo, H., Pathak, P., & Cheng, H. K. (2015). Estimating social influences from social networking sites—Articulated friendships versus communication interactions. Decision Sciences, 46(1), 135-163.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
Hamad M. Al-Matar, Khaled D. Khalil, Herbert Meier, Heinz Kolshorn, & Elnagdia, M. H. (2008). Chitosan as heterogeneous catalyst in Michael additions: The reaction of cinnamonitriles with active methyls, active methylenes and phenols. Arkivoc, 2008(16), 288. Retrieved from https://dx.doi.org/10.3998/ark.5550190.0009.g27. doi:10.3998/ark.5550190.0009.g27
Hamari, J. (2015). Why do people buy virtual goods? Attitude toward virtual good purchases versus game enjoyment. International Journal of Information Management, 35(3), 299-308. Retrieved from https://dx.doi.org/10.1016/j.ijinfomgt.2015.01.007. doi:10.1016/j.ijinfomgt.2015.01.007
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, 538-546. Retrieved from https://dx.doi.org/10.1016/j.chb.2016.11.045. doi:10.1016/j.chb.2016.11.045
Hamari, J., & Keronen, L. (2017). Why do people play games? A meta-analysis. International Journal of Information Management, 37(3), 125-141.
Hamari, J., & Koivisto, J. (2015). Why do people use gamification services? International Journal of Information Management, 35(4), 419-431. Retrieved from https://dx.doi.org/10.1016/j.ijinfomgt.2015.04.006. doi:10.1016/j.ijinfomgt.2015.04.006
Hassan, M. G., Hirst, R., Siemieniuch, C., & Zobaa, A. (2009). The impact of energy awareness on energy efficiency. International Journal of Sustainable Engineering, 2(4), 284-297.
Heirman, W., & Walrave, M. (2012). Predicting adolescent perpetration in cyberbullying: An application of the theory of planned behavior. Psicothema, 24(4), 614-620.
Hiscock, D. (2004). Cell phones in class: This, too, shall pass. Community College Week, 16(16), 4-5.
Hofacker, C. F., De Ruyter, K., Lurie, N. H., Manchanda, P., & Donaldson, J. (2016). Gamification and Mobile Marketing Effectiveness. Journal of Interactive Marketing, 34, 25-36. Retrieved from https://dx.doi.org/10.1016/j.intmar.2016.03.001. doi:10.1016/j.intmar.2016.03.001
Hsiao, C.-C., & Chiou, J.-S. (2012). The impact of online community position on online game continuance intention: Do game knowledge and community size matter? Information & Management, 49(6), 292-300. Retrieved from https://dx.doi.org/10.1016/j.im.2012.09.002. doi:10.1016/j.im.2012.09.002
Hsiao, K.-L., Huang, T.-C., Chen, M.-Y., & Chiang, N.-T. (2018). Understanding the behavioral intention to play Austronesian learning games: from the perspectives of learning outcome, service quality, and hedonic value. Interactive Learning Environments, 26(3), 372-385. Retrieved from https://dx.doi.org/10.1080/10494820.2017.1333011. doi:10.1080/10494820.2017.1333011
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, 18-29. Retrieved from https://dx.doi.org/10.1016/j.elerap.2016.01.001. doi:10.1016/j.elerap.2016.01.001
Hsiao, K. L., Lin, J. C. C., Wang, X. Y., Lu, H. P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations. Online Information Review.
Hsu, C.-L., & Lin, J. C.-C. (2015). What drives purchase intention for paid mobile apps?–An expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1), 46-57.
Hsu, C.-L., & Lin, J. C.-C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change, 108, 42-53. Retrieved from https://dx.doi.org/10.1016/j.techfore.2016.04.012. doi:10.1016/j.techfore.2016.04.012
Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868. Retrieved from https://dx.doi.org/10.1016/j.im.2003.08.014. doi:10.1016/j.im.2003.08.014
Hsu, C.-L., & Lu, H.-P. (2007). Consumer behavior in online game communities: A motivational factor perspective. Computers in Human Behavior, 23(3), 1642-1659. Retrieved from https://dx.doi.org/10.1016/j.chb.2005.09.001. doi:10.1016/j.chb.2005.09.001
Hsu, C. H., & Huang, S. (2012). An extension of the theory of planned behavior model for tourists. Journal of Hospitality & Tourism Research, 36(3), 390-417.
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
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, 398-406.
Huang, J.-H., Lin, Y.-R., & Chuang, S.-T. (2006). Elucidating user behavior ofmobile learning. A perspective of the extended technologyacceptance model. Retrieved from https://dx.doi.org/10.1108/02640470710829569/full/html. doi:10.1108/02640470710829569/full/html
Huang, L.-Y., & Hsieh, Y.-J. (2011). Predicting online game loyalty based on need gratification and experiential motives. Retrieved from https://dx.doi.org/10.1108/10662241111176380/full/html. doi:10.1108/10662241111176380/full/html
Huang, L.-Y., Hsieh, Y.-J., & Wu, Y.-C. J. (2014). Gratifications and social network service usage: The mediating role of online experience. Information & Management, 51(6), 774-782. Retrieved from https://dx.doi.org/10.1016/j.im.2014.05.004. doi:10.1016/j.im.2014.05.004
Huang, M.-H. (2003). Designing website attributes to induce experiential encounters. Computers in Human Behavior, 19(4), 425-442.
James, D., & Drennan, J. (2005). Exploring addictive consumption of mobile phone technology. Paper presented at the Australian and New Zealand Marketing Academy conference, Perth, Australia.
Jin, W., Sun, Y., Wang, N., & Zhang, X. (2017). Why users purchase virtual products in MMORPG? An integrative perspective of social presence and user engagement. Internet Research, 27(2), 408-427. Retrieved from https://dx.doi.org/10.1108/intr-04-2016-0091. doi:10.1108/intr-04-2016-0091
Köhler, C. F., Rohm, A. J., de Ruyter, K., & Wetzels, M. (2011). Return on interactivity: The impact of online agents on newcomer adjustment. Journal of Marketing, 75(2), 93-108.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68.
Karmarkar, U. R., & Tormala, Z. L. (2010). Believe me, I have no idea what I’m talking about: The effects of source certainty on consumer involvement and persuasion. Journal of consumer research, 36(6), 1033-1049.
Keeney, R. L. (1999). The Value of Internet Commerce to the Customer. Management Science, 45(4), 533-542. Retrieved from https://dx.doi.org/10.1287/mnsc.45.4.533. doi:10.1287/mnsc.45.4.533
Ketabi, S. N., Ranjbarian, B., & Ansari, A. (2014). Analysis of the effective factors on online purchase intention through theory of planned behavior. International Journal of Academic Research in Business and Social Sciences, 4(4), 374-382.
Kim, S., Haley, E., & Koo, G.-Y. (2009). Comparison of the paths from consumer involvement types to ad responses between corporate advertising and product advertising. Journal of Advertising, 38(3), 67-80.
Kline, R. B. (2005). Principles and practice of structural equation modeling 2nd ed. New York: Guilford.
Kotler, P., Armstrong, G., & Starr, R. (1989). Principles of marketing, Englewood Cliffs, NJ: Prentince-Hall. Inc. p, 8.
Kozinets, R. V. (1999). E-tribalized marketing?: The strategic implications of virtual communities of consumption. European management journal, 17(3), 252-264.
Krotoski, A. (2004). Chicks and joysticks: An exploration of women and gaming: Elspa.
Kwon, K.-N., & Lee, J. (2003). Concerns about payment security of Internet purchases: a perspective on current on-line shoppers. Clothing and Textiles Research Journal, 21(4), 174-184.
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013). The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents. PLoS ONE, 8(12), e83558. Retrieved from https://dx.doi.org/10.1371/journal.pone.0083558. doi:10.1371/journal.pone.0083558
Ladhari, R. (2010). Developing e-service quality scales: A literature review. Journal of retailing and consumer services, 17(6), 464-477.
Lazzaro, R. (2004). Why we play games: 4 keys to more emotion. Paper presented at the Proc. Game Developers Conference 2004.
Lee, B. (2007). Consumer attitude toward virtual stores and its correlates. Journal of retailing and consumer services, 14(3), 182-191.
Lee, D., Moon, J., Kim, Y. J., & Yi, M. Y. (2015). Antecedents and consequences of mobile phone usability: Linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Information & Management, 52(3), 295-304. Retrieved from https://dx.doi.org/10.1016/j.im.2014.12.001. doi:10.1016/j.im.2014.12.001
Lee, M.-C. (2009). Understanding the behaviouralintention to play online games An extension of the theory of plannedbehaviour. Retrieved from https://dx.doi.org/10.1108/14684520911001873/full/html. doi:10.1108/14684520911001873/full/html
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. Retrieved from https://dx.doi.org/10.1080/10447311003781318. doi:10.1080/10447311003781318
Leppaniemi, M., & Karjaluoto, H. (2005). Factors influencing consumers' willingness to accept mobile advertising: a conceptual model. International Journal of Mobile Communications, 3(3), 197-213.
Lin, H.-F. (2014). The effect of product placement on persuasion for mobile phone games. International Journal of Advertising, 33(1), 37-60.
Lin, H.-H., & Wang, Y.-S. (2006). An examination of the determinants of customer loyalty in mobile commerce contexts. Information & Management, 43(3), 271-282. Retrieved from https://dx.doi.org/10.1016/j.im.2005.08.001. doi:10.1016/j.im.2005.08.001
Liska, A. E. (1984). A critical examination of the causal structure of the Fishbein/Ajzen attitude-behavior model. Social psychology quarterly, 61-74.
Liu, J., Kauffman, R. J., & Ma, D. (2015). Competition, cooperation, and regulation: Understanding the evolution of the mobile payments technology ecosystem. Electronic Commerce Research and Applications, 14(5), 372-391.
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29-39.
Lueg, J. E., & Finney, R. Z. (2007). Interpersonal communication in the consumer socialization process: scale development and validation. Journal of marketing theory and practice, 15(1), 25-39.
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210.
Mols, N. P. (1998). The behavioral consequences of PC banking. International Journal of bank marketing.
Mäntymäki, M., Merikivi, J., Verhagen, T., Feldberg, F., & Rajala, R. (2014). Does a contextualized theory of planned behavior explain why teenagers stay in virtual worlds? International Journal of Information Management, 34(5), 567-576.
Mäntymäki, M., & Salo, J. (2011). Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel. Computers in Human Behavior, 27(6), 2088-2097. Retrieved from https://dx.doi.org/10.1016/j.chb.2011.06.003. doi:10.1016/j.chb.2011.06.003
Mpinganjira, M. (2018). Precursors of trust in virtual health communities: A hierarchical investigation. Information & Management, 55(6), 686-694. Retrieved from https://dx.doi.org/10.1016/j.im.2018.02.001. doi:10.1016/j.im.2018.02.001
Nam, K., & Kim, H.-j. (2020). The determinants of mobile game success in South Korea. Telecommunications Policy, 44(2), 101855.
Okazaki, S. (2009). The tactical use of mobile marketing: How adolescents' social networking can best shape brand extensions. Journal of Advertising Research, 49(1), 12-26.
Pace, J. (2013). The Ways We Play, Part 2: Mobile Game Changers. Computer, 46(4), 97-99. Retrieved from https://dx.doi.org/10.1109/MC.2013.146. doi:10.1109/mc.2013.146
Park, N., Jung, Y., & Lee, K. M. (2011). Intention to upload video content on the internet: The role of social norms and ego-involvement. Computers in Human Behavior, 27(5), 1996-2004.
Park, S.-B., & Chung, N. (2011). Mediating roles of self-presentation desire in online game community commitment and trust behavior of Massive Multiplayer Online Role-Playing Games. Computers in Human Behavior, 27(6), 2372-2379. Retrieved from https://dx.doi.org/10.1016/j.chb.2011.07.016. doi:10.1016/j.chb.2011.07.016
Paul, J., Modi, A., & Patel, J. (2016). Predicting green product consumption using theory of planned behavior and reasoned action. Journal of retailing and consumer services, 29, 123-134.
Qin, L., Kim, Y., Hsu, J., & Tan, X. (2011). The effects of social influence on user acceptance of online social networks. International Journal of Human-Computer Interaction, 27(9), 885-899.
Qin, L., Kim, Y., & Tan, X. (2018). Understanding the Intention of Using Mobile Social Networking Apps Across Cultures. International Journal of Human–Computer Interaction, 34(12), 1183-1193. Retrieved from https://dx.doi.org/10.1080/10447318.2018.1428262. doi:10.1080/10447318.2018.1428262
Rajala, R., Rossi, M., Tuunainen, V. K., & Vihinen, J. (2007). Revenue logics of mobile entertainment software observations from companies producing mobile games. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 34-47.
Rana, N. P., Slade, E., Kitching, S., & Dwivedi, Y. K. (2019). The IT way of loafing in class: Extending the theory of planned behavior (TPB) to understand students’ cyberslacking intentions. Computers in Human Behavior, 101, 114-123. Retrieved from https://dx.doi.org/10.1016/j.chb.2019.07.022. doi:10.1016/j.chb.2019.07.022
Sarver, V. T. (1983). Ajzen and Fishbein's" theory of reasoned action": A critical assessment.
Sasson, H., & Mesch, G. (2016). Gender differences in the factors explaining risky behavior online. Journal of youth and adolescence, 45(5), 973-985.
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. Retrieved from https://dx.doi.org/10.1016/j.im.2006.10.007. doi:10.1016/j.im.2006.10.007
Sjöblom, M., Törhönen, M., Hamari, J., & Macey, J. (2019). The ingredients of Twitch streaming: Affordances of game streams. Computers in Human Behavior, 92, 20-28. Retrieved from https://dx.doi.org/10.1016/j.chb.2018.10.012. doi:10.1016/j.chb.2018.10.012
Smith, D., Menon, S., & Sivakumar, K. (2005). Online peer and editorial recommendations, trust, and choice in virtual markets. Journal of Interactive Marketing, 19(3), 15-37.
Sánchez-Mena, A., Martí-Parreño, J., & Aldás-Manzano, J. (2019). Teachers’ intention to use educational video games: The moderating role of gender and age. Innovations in Education and Teaching International, 56(3), 318-329. Retrieved from https://dx.doi.org/10.1080/14703297.2018.1433547. doi:10.1080/14703297.2018.1433547
Staykova, K. S., & Damsgaard, J. (2015). The race to dominate the mobile payments platform: Entry and expansion strategies. Electronic Commerce Research and Applications, 14(5), 319-330. Retrieved from https://dx.doi.org/10.1016/j.elerap.2015.03.004. doi:10.1016/j.elerap.2015.03.004
Sun, S., Law, R., & Schuckert, M. (2020). Mediating effects of attitude, subjective norms and perceived behavioural control for mobile payment-based hotel reservations. International Journal of Hospitality Management, 84, 102331. Retrieved from https://dx.doi.org/10.1016/j.ijhm.2019.102331. doi:10.1016/j.ijhm.2019.102331
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. Paper presented at the PACIS.
Sweetser, P., & Wyeth, P. (2005). GameFlow: a model for evaluating player enjoyment in games. Computers in Entertainment (CIE), 3(3), 3-3.
Teng, C.-I. (2018). Look to the future: Enhancing online gamer loyalty from the perspective of the theory of consumption values. Decision Support Systems, 114, 49-60. Retrieved from https://dx.doi.org/10.1016/j.dss.2018.08.007. doi:10.1016/j.dss.2018.08.007
Thuy, T. T., & Hong, P. T. T. (2019). Attitude to and usage intention of high school students toward electric two-wheeled vehicles in Hanoi City. VNU Journal of Science: Economics and Business, 35(2).
Torrecillas, R., Schehl, M., Diaz, L., Menendez, J., & Moya, J. (2007). Creep behaviour of alumina/YAG nanocomposites obtained by a colloidal processing route. Journal of the European Ceramic Society, 27(1), 143-150.
Tsang, M. M., Ho, S.-C., & Liang, T.-P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International journal of electronic commerce, 8(3), 65-78.
Tseng, F.-C., Huang, H.-C., & Teng, C.-I. (2015). How do online game communities retain gamers? Social presence and social capital perspectives. Journal of Computer-Mediated Communication, 20(6), 601-614.
Van Der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48. Retrieved from https://dx.doi.org/10.1057/palgrave.ejis.3000445. doi:10.1057/palgrave.ejis.3000445
Vashisht, D., & Sreejesh, S. (2017). Effect of nature of the game on ad-persuasion in online gaming context. Internet Research, 27(1), 52-73. Retrieved from https://dx.doi.org/10.1108/intr-10-2014-0271. doi:10.1108/intr-10-2014-0271
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012). Customer engagement: Exploring customer relationships beyond purchase. Journal of marketing theory and practice, 20(2), 122-146.
Voiskounsky, A. E., Mitina, O. V., & Avetisova, A. A. (2004). Playing online games: Flow experience. PsychNology journal, 2(3), 259-281.
Walrave, M., Heirman, W., & Hallam, L. (2014). Under pressure to sext? Applying the theory of planned behaviour to adolescent sexting. Behaviour & Information Technology, 33(1), 86-98.
Wang, E. S.-T. (2014). Perceived control and gender difference on the relationship between trialability and intent to play new online games. Computers in Human Behavior, 30, 315-320. Retrieved from https://dx.doi.org/10.1016/j.chb.2013.09.016. doi:10.1016/j.chb.2013.09.016
Wang, X., Yu, C., & Wei, Y. (2012). Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework. Journal of Interactive Marketing, 26(4), 198-208. Retrieved from https://dx.doi.org/10.1016/j.intmar.2011.11.004. doi:10.1016/j.intmar.2011.11.004
Ward, S. (1974). Consumer socialization. Journal of consumer research, 1(2), 1-14.
Wei, P.-S., & Lu, H.-P. (2014). Why do people play mobile social games? An examination of network externalities and of uses and gratifications. Internet Research, 24(3), 313-331. Retrieved from https://dx.doi.org/10.1108/intr-04-2013-0082. doi:10.1108/intr-04-2013-0082
Weisstein, F. L., Kukar-Kinney, M., & Monroe, K. B. (2016). Determinants of consumers' response to pay-what-you-want pricing strategy on the Internet. Journal of Business Research, 69(10), 4313-4320. Retrieved from https://dx.doi.org/10.1016/j.jbusres.2016.04.005. doi:10.1016/j.jbusres.2016.04.005
West, J. H., Hall, P. C., Hanson, C. L., Barnes, M. D., Giraud-Carrier, C., & Barrett, J. (2012). There’s an App for That: Content Analysis of Paid Health and Fitness Apps. Journal of Medical Internet Research, 14(3), e72. Retrieved from https://dx.doi.org/10.2196/jmir.1977. doi:10.2196/jmir.1977
Willson, M., & Leaver, T. (2016). Social, Casual and Mobile Games: The Changing Gaming Landscape: Bloomsbury Publishing USA.
Wong, T. Y., Foster, P. J., Hee, J., Ng, T. P., Tielsch, J. M., Chew, S. J., . . . Seah, S. K. (2000). Prevalence and risk factors for refractive errors in adult Chinese in Singapore. Investigative ophthalmology & visual science, 41(9), 2486-2494.
Xin Ding, D., Hu, P. J.-H., Verma, R., & Wardell, D. G. (2010). The impact of service system design and flow experience on customer satisfaction in online financial services. Journal of Service Research, 13(1), 96-110.
Yang, K.-C., Huang, C.-H., Yang, C., & Yang, S. Y. (2017). Consumer attitudes toward online video advertisement: YouTube as a platform. Kybernetes, 46(5), 840-853. Retrieved from https://dx.doi.org/10.1108/K-03-2016-0038. doi:10.1108/k-03-2016-0038
Yang, Z., Asbury, K., & Griffiths, M. D. (2019). An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing. International Journal of Mental Health and Addiction, 17(3), 596-614. Retrieved from https://dx.doi.org/10.1007/s11469-018-9961-1. doi:10.1007/s11469-018-9961-1
Yang, Z., & Peterson, R. T. (2004). Customer perceived value, satisfaction, and loyalty: The role of switching costs. Psychology and Marketing, 21(10), 799-822. Retrieved from https://dx.doi.org/10.1002/mar.20030. doi:10.1002/mar.20030
Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of consumer research, 12(3), 341-352.
Zhang, J., & Daugherty, T. (2009). Third‐person effect and social networking: implications for online marketing and word‐of‐mouth communication. American Journal of Business.
Zhang, J., Tang, J., Li, J., Liu, Y., & Xing, C. (2015). Who Influenced You? Predicting Retweet via Social Influence Locality. ACM Transactions on Knowledge Discovery from Data, 9(3), 1-26. Retrieved from https://dx.doi.org/10.1145/2700398. doi:10.1145/2700398