隨著網際網路的普及化，不僅電子商務已成為現代人生活中的一部份，各式媒體也因而受惠，進行一場名為數位化的產業革命，媒體不再藉由實體介面傳輸，而是通過數位串流共享。隨著音樂影視等數位影音平台的成功，遊戲數位發行也伴隨著版權觀念與環保意識抬頭而蓬勃發展，許多玩家不再到實體店面購買或預購遊戲光碟，此股風潮也自國外蔓延至國內，但國內探討數位串流領域的論文大多是影音平台串流，故本文以遊戲數位發行平台為題，探討使用者持續使用遊戲數位發行平台之因素。
科技接受模式作為研究新興科技及各類資訊系統已有許多文獻，為成熟的模型；接受後持續使用模型近期則被各式電子商務研究者重視，用來探討使用者重複使用某資訊系統之行為；本研究使用科技接受模型以及接受後持續使用模型，並搭配信任理論，使用實證性、定量研究方法，包含樣本結構分析與整體模式分析，來研究遊戲數位發行平台使用者持續使用使用平台之因素。本研究蒐集受測問卷總發放份數250份，有效問卷共223份。
研究發現，使用遊戲數位發行平台者多為重度網路使用族群，且大部分具有電子商務使用經驗並持有信用卡。使用者用後確認程度顯著影響滿意程度、知覺有用性與信任；確認程度是使用者持續使用意圖最主要的因素，而滿意程度則次之，信任對持續使用意圖的影響則是透過滿意程度的間接效果，對持續使用的直接效果並不顯著。故遊戲數位發行平台使用者最重視的是，用了該平台後是否能夠協助使用者達成特定任務，此即是體驗後期望。若使用後確認程度高，則平台的體驗後期望也高，使用者會有較高的持續使用意圖，故平台之有用性應作為開發平台時最優先之考量因素。

With the popularizing of the Internet, E-business has been a part of modern people’s life activity. Every kind of media also benefited from it, and began a revolution called “Digitalized”. The media doesn’t need to transfered by physical intermediary anymore. Instead, it is shared by digital data stream. The public admit the exsit of copyright and focus on environmental concept. Began with the success of video and music industry, the digital distribution of digital game flourish. Lots of players didn’t go to physical storefront to book or buy software. This trend has spread form oversea to domestic area. Most of the domestic thesis which research digital distribution are focusing video and music platform. To fill the gap, this thesis use digital game as research subject, and investigate the factors that cause user continuously using of digital distribution for digital game.
　　Technology Acceptance Model(TAM) is a mature model that is widely used in the researches of new technology or information system. While Post-Acceptance Model of IS Continuance is used by the researchers of e-business to study the factors that cause user continuously using information system recently. This research combined Technology Acceptance Model and Post-Acceptance Model of IS Continuance, supported with Thrust theory. Using empirical, quantitative research as research methods, Analysis includes sample structure and structural equation modeling analysis to approach the main purpose of this research. The qestionnaires send for this research are 250 copies and the number of effective is 226.
　　The research discovers that most of the users of digital game distribution are heavy Internet users, usually have experience of e-business and use cedit card. Expectation confirmation has significantly positive effect on users’satisfaction and perceived usefulness. The comfirmation is the main factor that cause continuous using behavior, while the satisfaction is the second factor. The effect of trust on the continuous using is through the indirect effect of satisfaction. The direct effect of trust on the continuous using is not significant. So, the fator that users most value is that whether the platform can help them to achieve mission or not. It is the meaning of post-consumption expectation. The higher the comfirmation is, the higher the post-consumption expectation is. Users may have higher intention to continuously use the platform.

論文審定書
公開授權書
誌謝…………………………………………………………………………………i
摘要…………………………………………………………………………………ii
Abstract ………..………………………………………………………………..…iii
目錄…………………………………………………………………………………vi
圖次…………………………………………………………………………………vii
表次…………………………………………………………………………………viii
第一章 緒論………………………………………………………………………01
第一節 研究背景與動機……………………………………………………01
第二節 研究目的……………………………………………………………02
第三節 研究流程……………………………………………………………03
第四節 研究範圍……………………………………………………………04
第二章 產業現況…………………………………………………………………05
第一節 數位內容、數位產品與數位遊戲…………………………………05
第二節 遊戲數位發行平台…………………………………………………07
第三章 文獻探討…………………………………………………………………10
第一節 科技接受模式………………………………………………………10
第二節 接受後持續使用模式………………………………………………12
第三節 信任…………………………………………………………………14
第四章 研究設計…………………………………………………………………15
第一節 研究結構……………………………………………………………15
第二節 研究模式…………………....………………………………………16
第三節 研究方法……………………………………...…….………………20
第五章 實證分析…………………………………………………………………25
第一節 樣本結構分析.....…………………………………………………...25
第二節 結構模式分析…………………………………………..…………..29
第三節 遊戲數位發行平台滿意度分析….….……………………………..31
第四節　遊戲數位發行平台持續使用意願分析…………............................37
第六章 結論與建議………………………………………………………………40
第一節 結論…………………………………………………………………40
第二節 建議…………………………………………………………………41
第三節 管理意涵……………………………………………………………42
參考文獻……………………………………………………………………………43
附錄 遊戲數位發行平台持續使用因素問卷……………………………………47

一、中文
林雨玲，2011，「線上遊戲與性別建構」，新聞學研究，108期：51~58頁。
邱揮立，2003，電玩新戰國時代，台北：中華民國對外貿易發展協會。
張筱祺，2016，「行動購物消費者調查分析」，資策會產業情報研究所。
許晉龍，2004，線上遊戲使用者行為研究。台灣科技大學資訊管理系博士論文。
經濟部數位內容產業推動辦公室，2015，數位內容產業年鑑：186~189頁。
簡幸如、劉旨峰，2009，「專題導向數位遊戲製作教學模式之個案探討」，人文暨社會科學期刊，5卷2期：113~130。
蔡璞、蔡青姿，2006，「網路購物在知覺風險模式之建構」，國立虎尾科技大學學報，25卷3期：31~44。
盧育廷，2005，數位或實體？影響消費者購買數位音樂因素之研究，國立中正大學資訊管理所碩士論文。
二、英文
Ajzen, I. and Fishbein, M. 1981. Attitudes and voting behaviour: An application of the theory of reasoned action. Progress in Applied Social Psychology, 1(1): 95-125.
Anderson, J.C. and Gerbing, D.W. 1988. Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3): 411-423.
Bagozzi, R.P., and Yi, Y. 1988. On the evaluation of structural equation model. Journal of the Academy of Marketing Science, 16(1): 74-94.
Carmines, E.G. and McIver, J.P. 1981. Analysing models with unobservable variables. In G. W. Bohrnstedt and E. E. Borgatta (Eds.), Social measurement current issues: 65-115. Beverly Hills, CA: Sage.
Chin, W.W., and Todd, P.A. 1995. On the use, usefulness, and ease of use of structural equation modeling in MIS research: A note of caution. MIS Quarterly, 19(2): 237-246.
Chiu, C.M., Hsu, M.H., Sun, S., Lin, T.C., and Sun, P.C. 2005. Usability, quality, valueand e-learning continuance decisions. Computers and Education, 45(4): 399-416.
Choi, S.Y., Stahl, D.O. and A.B. 1997. The Economics of electronic commerce, Whinston: Macmillan Technical Publishing.
Cyr, D., Hassanein, K., Head, M., and Ivanov, A. 2007. The role of social presence in establishing loyalty in e-service environments. Interacting with Computers, 19(1): 43-56.
Doney, P.M., and Cannon, J.P. 1997. An examination of the nature of trust in buyer-sellerrelationships, International Journal of Fuzzy Systems, 9(4): 236-246.
Fornell, C., and Larcker, D.F. 1981. Evaluating structure equations models with unob-servable variables and measurement error. Journal of Marketing Research, 18(1): 39-50.
Garbarino, E., and Johnson, M.S. 1999. The different roles of satisfaction, trust, and commitment in customer relationships, Journal of Marketing, 63(2): 70-87.
Gefen, D. 2002. Customer loyalty in e-commerce. Journal of the Association for Information Systems, 3(1): 27-51.
Gummerus, J., Liljander, V., Pura, M., and van Riel, A. 2004. Customer loyalty to contentbasedWeb sites: The case of an online health care service. Journal of Services Marketing, 18(3): 175-186.
Hair, J.F. Jr., Anderson, R.E., Tatham, R.L., and Black, W. C. 1998. Multivariate data analysis (5th ed.). New Jersey: Prentice-Hall.
Holbrook, D.J., Ferrin, D.L., and Raghav, R.H. 2008. A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2): 544-564.
Hu, L.T., and Bentler, P.M. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1): 1-55.
Kim, B. 2010. An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model. Expert Systems with Applications, 37(10): 7033-7039.
Kotler, P. 2000. Marketing management：Analysis, planning, implementation, and control, (10th ed.), New Jersey: Prentice-Hall,
Lee, M. C. 2010. Explaining and predicting users’ continuance intention toward elearning: An extension of the expectation-confirmation model. Computers and Education, 54(2): 506-516.
Liao, C., Chen, J.L., and Yen, D.C. 2007. Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6): 2804-2822.
Liu, A.H., and Leach, M.P. 2001. Developing loyal customers with a value-adding sales force: Examining customer satisfaction and the perceived credibility of consultative salespeople. Journal of Personal Selling and Sales Management, 21(2): 147-156.
Liu, C. and Arnett, K.P. 2000. Perceived importance of information system success factors: A meta analysis of group difference. Information and Management, 32(1): 15-28.
Moore, G.C. and Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3): 192-222.
Moorman, C.D., Zaltman, G., and Deshpande, R. 1993. Factors affecting trust in market research relationships. Journal of Marketing, 57(1): 81-101.
Morgan, R.M., and Hunt, S.D. 1994. The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3): 20-38.
Nunnally, J.C. 1978. Psychometric theory. New York: McGraw-Hill.
PricewaterhouseCoopers. 2014. Global Entertainment and Media Market, EandM.
Roca, J.C., Chiu, C.M. and Martínez, F.J., 2006. Understanding e-learning Continuance Intention: an extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8): 683-696.
Rogers, E.M. 1995. Diffusion of inovation (4th ed). New York: The Free Press.
Saara, T. and Olli, S. 2010. Digital distribution of games: The players’ perspective. Futureplay '10 Proceedings of the International Academic Conference on the Future of Game Design and Technology: 199-206, Vancouver: British Columbia.
Seddon, P.B., and Kiew, M.Y. 1996. A partial test and development of DeLone and McLean’s model of IS success. The Australian Journal of Information Systems, 4(1): 90-109.
Taylor, S. and Todd, P.A. 1995. Understanding information technology usage: a test of competing models. Information Systems Research, 6(2): 144-176.
Thong, Y.L., Hong, S.J., and Tam, K.Y. 2006. The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human Computer Studies, 64(9): 799-810.
Wang, F., and Head, M. 2007. How can the web help build customer relationships? An empirical study on e-tailing. Information and Management, 44(2): 115-129.
三、網路
EEDAR. 2016. Awesome Video Game Data. http://www.eedar.com/Pres/EEDAR - GDC2016 -Awesome Video Game Data Distribute [Geoffrey Zatkin] v2.7.pdf
王祿旺，2012，「數位發行」，雙語詞彙、學術名詞暨辭書資訊網 http://terms.naer.edu.tw/detail/1678953/