本研究關注行動廣告遊戲為品牌商所帶來之效益與對玩家產生的影響，探討過程中納入心流理論作為研究主軸，用以說明玩家在進行行動廣告遊戲時所體驗之心境。目的在於了解玩家因遊玩行動廣告遊戲過程中經歷心流，是否影響其對於品牌的態度、購買意圖與再次遊戲的意願。以使品牌商對於行動廣告遊戲之行銷方式有更多的認識。本篇問卷資料分析以偏最小平方法進行分析，以驗證研究模型與假說，經分析後有以下發現：
1. 心流體驗會正向影響玩家對於品牌之態度。
2. 心流體驗會正向影響玩家對於品牌之購買意圖。
3. 心流體驗會正向影響玩家再玩意圖。
4. 正向積極的品牌態度會正向影響品牌購買意願。
根據上述對於行動廣告遊戲之發現，提供品牌商在制定推廣策略時，能考量運用行動廣告遊戲此類具創新且新穎的工具，以將遊戲玩家轉為自身品牌的消費者，進而達營銷效益。

This study focuses on exploring the benefits of mobile advergames for brand owners and its impact on players. In this study, flow theory is included as a key factor to explain players’ mind during the game. The purpose is to understand whether player’s flow experience during the mobile advergames will influence their purchase intention and game replay intention. The result will make brand owners aware of the advantage of mobile advergame and its benefits.
The questionnaire data is analyzed by partial least squares method to verify the research model and hypothesis. The results have the following finding:
1. Flow experience will positively affect players’ attitude toward the brand.
2. Flow experience will positively affect players’ purchase intention.
3. Flow experience will positively affect players’ replay intention.
4. A positive brand attitude will positively affect brand purchase intention.
Base on the above findings on mobile advergames, providers can take advantage of this kinds of innovative tools to promote their brand. Therefore, they can turn mobile advergames’ gamers into customers, and make brand achieve benefits.

Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
Ajzen, H., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. New York, NY: Pearson
Badrinarayanan, V. A., Sierra, J. J., & Martin, K. M. (2015). A dual identification framework of online multiplayer video games: The case of massively multiplayer online role playing games (MMORPGs). Journal of Business Research, 68(5), 1045-1052.
Bellman, S., Kemp, A., Haddad, H., & Varan, D. (2014). The effectiveness of advergames compared to television commercials and interactive commercials featuring advergames. Computers in Human Behavior, 32, 276-283.
Catalán, S., Martínez, E., & Wallace, E. (2019a). Analysing mobile advergaming effectiveness: the role of flow, game repetition and brand familiarity. Journal of Product & Brand Management, 28(4), 502-514.
Catalán, S., Martínez, E., & Wallace, E. (2019b). The role of flow for mobile advergaming effectiveness. Online Information Review, 43(7), 1228-1244.
Cauberghe, V., & De Pelsmacker, P. (2010). Advergames. Journal of Advertising, 39(1), 5-18.
Çeltek, E. (2010). Mobile advergames in tourism marketing. Journal of Vacation Marketing, 16(4), 267-281.
Chang, Y., Yan, J., Zhang, J., & Luo, J. (2010). Online in-game advertising effect: Examining the influence of a match between games and advertising. Journal of Interactive Advertising, 11(1), 63-73.
Chou, T. J., & Ting, C. C. (2003). The role of flow experience in cyber-game addiction. CyberPsychology & Behavior, 6(6), 663-675.
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. San Francisco, CA: Jossey-Bass.
Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815-822.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York, NY: Harper & Row.
Csikszentmihalyi, M., & Csikszentmihalyi, I. S. (1992). Optimal experience: Psychological studies of flow in consciousness. New York, NY: Cambridge University Press.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307-319.
Edwards, E. (2003, January 26). Plug (the product) and play. The Washington Post, p. A1.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gross, M. L. (2010). Advergames and the effects of game-product congruity. Computers in Human Behavior, 26(6), 1259-1265.
Grossman, S. (2005). Grand theft oreo: The constitutionality of advergame regulation. The Yale Law Journal, 115(1), 227-236.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). New York, NY: Sage Publications.
Ham, C. D., Yoon, G., & Nelson, M. R. (2016). The interplay of persuasion inference and flow experience in an entertaining food advergame. Journal of Consumer Behaviour, 15(3), 239-250.
Harmat, L., de Manzano, Ö., Theorell, T., Högman, L., Fischer, H., & Ullén, F. (2015). Physiological correlates of the flow experience during computer game playing. International Journal of Psychophysiology, 97(1), 1-7.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
Hernandez, M. D. (2011). A model of flow experience as determinant of positive attitudes toward online advergames. Journal of Promotion Management, 17(3), 315-326.
Hernandez, M. D., Chapa, S., Minor, M. S., Maldonado, C., & Barranzuela, F. (2004). Hispanic attitudes toward advergames: A proposed model of their antecedents. Journal of Interactive Advertising, 5(1), 74-83.
Hoffman, D. L., & Novak, T. P. (2009). Flow online: Lessons learned and future prospects. Journal of Interactive Marketing, 23(1), 23-34.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68.
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.
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.
Jackson, S. A., & Marsh, H. W. (1996). Development and validation of a scale to measure optimal experience: The flow state scale. Journal of Sport and Exercise Psychology, 18(1), 17-35.
Jöreskog, K. G., & Sörbom, D. (1989). LISREL 7: A guide to the program and applications. Chicago, IL: Spss Inc.
Kotler, P., Keller, K. L., Ancarani, F., & Costabile, M. (2014). Marketing management 14/e. New York, NY: Pearson.
Lee, C. W., Yang, C. F., & Hung, H. C. (2017). Evaluating game-brand congruity and flow on brand personality by using gamifying learning. Eurasia Journal of Mathematics, Science and Technology Education, 13(7), 3083-3097.
Liu, C. C. (2017). A model for exploring players flow experience in online games. Information Technology & People, 30(1), 139-162.
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.
Lutz, R. J., MacKenzie, S. B., & Belch, G. E. (1983). Attitude toward the ad as a mediator of advertising effectiveness: Determinants and consequences. ACR North American Advances, 10, 532-539.
Mahnke, R., Wagner, T. M., & Benlian, A. (2012, January). Flow experience on the web: Measurement validation and mixed method survey of flow activities. 20th European Conference on Information Systems (ECIS), Barcelona: Spain.
Martí-Parreño, J., Aldas-Manzano, J., Currás-Pérez, R., & Sanchez-Garcia, I. (2013). Factors contributing brand attitude in advergames: Entertainment and irritation. Journal of Brand Management, 20(5), 374-388.
Mitchell, A. A., & Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude? Journal of Marketing Research, 18(3), 318-332.
Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.
Okazaki, S., & Yagüe, M. J. (2012). Responses to an advergaming campaign on a mobile social networking site: An initial research report. Computers in Human Behavior, 28(1), 78-86.
Peters, S., & Leshner, G. (2013). Get in the game: The effects of game-product congruity and product placement proximity on game players’ processing of brands embedded in advergames. Journal of Advertising, 42(2-3), 113-130.
Procci, K., Singer, A. R., Levy, K. R., & Bowers, C. (2012). Measuring the flow experience of gamers: An evaluation of the DFS-2. Computers in Human Behavior, 28(6), 2306-2312.
Redondo, I. (2012). The effectiveness of casual advergames on adolescents' brand attitudes. European Journal of Marketing, 46(11-12), 1671-1688.
Rettie, R. (2001). An exploration of flow during Internet use. Internet Research, 11(2), 103-113.
Roettl, J., Waiguny, M., & Terlutter, R. (2016). The persuasive power of advergames: A content analysis focusing on persuasive mechanisms in advergames. Australasian Marketing Journal (AMJ), 24(4), 275-287.
Sashi, C. (2012). Customer engagement, buyer‐seller relationships, and social media. Management Decision, 50(2), 253-272.
Siekpe, J. S. (2005). An examination of the multidimensionality of flow construct in a computer-mediated environment. Journal of Electronic Commerce Research, 6(1), 31-43.
Sreejesh, S., Anusree, M., & Ponnam, A. (2018). Does game rules work as a game changer? Analyzing the effect of rule orientation on brand attention and memory in advergames. Computers in Human Behavior, 81, 325-339.
Steffen, C., Mau, G., & Schramm-Klein, H. (2013). Who is the loser when I lose the game? Does losing an advergame have a negative impact on the perception of the brand? Journal of Advertising, 42(2-3), 183-195.
Su, Y. S., Chiang, W. L., Lee, C. T., & Chang, H. C. (2016). The effect of flow experience on player loyalty in mobile game application. Computers in Human Behavior, 63, 240-248.
Taylor, D. G., Voelker, T. A., & Pentina, I. (2011). Mobile application adoption by young adults: A social network perspective. Journal of Mobile Marketing, 6(2), 60-70.
Tina, W., & Buckner, K. (2006). Receptiveness of gamers to embedded brand messages in advergames: Attitudes towards product placement. Journal of Interactive Advertising, 7(1), 3-32.
Trevino, L. K., & Webster, J. (1992). Flow in computer-mediated communication: Electronic mail and voice mail evaluation and impacts. Communication Research, 19(5), 539-573.
Tuten, T. L., & Ashley, C. (2016). Do social advergames affect brand attitudes and advocacy? Journal of Marketing Communications, 22(3), 236-255.
Vanwesenbeeck, I., Walrave, M., & Ponnet, K. (2017). Children and advergames: The role of product involvement, prior brand attitude, persuasion knowledge and game attitude in purchase intentions and changing attitudes. International Journal of Advertising, 36(4), 520-541.
Vashisht, D., & Sreejesh, S. (2017). Effect of nature of the game on ad-persuasion in online gaming context. Internet Research, 27(1), 52-73.
Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using mplus. New York, NY: John Wiley & Sons.
Wanick, V., Stallwood, J., Ranchhod, A., & Wills, G. (2018). Can visual familiarity influence attitudes towards brands? An exploratory study of advergame design and cross-cultural consumer behaviour. Entertainment Computing, 27, 194-208.
Webster, J., Trevino, L. K., & Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9(4), 411-426.
Wilkie, W. (1986). Consumer behavior. New York, NY: John Wiley & Sons.
Wise, K., Bolls, P. D., Kim, H., Venkataraman, A., & Meyer, R. (2008). Enjoyment of advergames and brand attitudes: The impact of thematic relevance. Journal of Interactive Advertising, 9(1), 27-36.
Yang, M., Roskos-Ewoldsen, D. R., Dinu, L., & Arpan, L. M. (2006). The effectiveness of“in-game”advertising: Comparing college students’explicit and implicit memory for brand names. Journal of Advertising, 35(4), 143-152.
Yeu, M., Yoon, H. S., Taylor, C. R., & Lee, D. H. (2013). Are banner advertisements in online games effective? Journal of Advertising, 42(2-3), 241-250.
Zhao, Z., & Renard, D. (2018). Viral promotional advergames: How intrinsic playfulness and the extrinsic value of prizes elicit behavioral responses. Journal of Interactive Marketing, 41, 94-103.