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研究生: 羅宸杰
Lo, Chen-Jie
論文名稱: 以聯合分析法探討消費者對免費增值行動遊戲屬性偏好之研究
An Application of Conjoint Analysis to the Optimal Combination of the Product Attributes of Freemium Mobile Games
指導教授: 莊雙喜
Chuang, Shuang-shii
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: 2015
畢業學年度: 104
語文別: 英文
論文頁數: 60
中文關鍵詞: 聯合分析法產品屬性理論免費增值行動遊戲付費意願
外文關鍵詞: Conjoint Analysis, Freemium Mobile Games, Product Attributes Theory, Willingness-to-pay
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  • 自從2007年智慧型手機的普及化以來,智慧型手機的市產佔有率以及普及率逐年升高,不但智慧型手機越來越受歡迎,它所帶來的Apps也同樣受惠。擁有最大變化之一的App就是行動遊戲─從最原始的付費下載轉變成現在主流的免費增值模式。
    本研究主要運用聯合分析法探討當消費者在選擇免費增值行動遊戲時,哪些屬性最吸引消費者,以提供製作公司日後參考。此研究包含兩個階段,第一階段為經由前測問卷篩選十種不同的屬性;第二階段為運用聯合分析法來產生各種不同的產品組合製作正式問卷。
    結果顯示消費者選擇免費增值行動遊戲時最在意 「遊戲穩定度」、「口碑」、「遊戲獨創性」以及「遊戲畫面」(以排名表示)。本研究也同時探討消費者對擁有以上屬性的各式虛擬遊戲組合所願付的價格,以備未來付費遊戲又再次成為主流。

    Ever since the introduction of smart-phones to the mass public in 2007, the market share of smart-phones has skyrocketed with each successive year, not only did smart-phones increase with popularity, but also the complementary applications. During the prominent years of the smart-phone industry, mobile gaming has also undergone drastic changes – the transition from paid mobile games to what is now called “Freemium” mobile games.
    The primary purpose of this study is to discuss which attributes attracts consumers most when selecting Freemium mobile games by using the Conjoint Analysis. This research consists of two phases, the first involves filtering ten distinct attributes acquired from various literatures by using Products Attributes Theory. The second comprises of utilizing the statistics methodology of the Conjoint Analysis to construct the so-called “Cards”, which is then applied in the final questionnaire.
    The results showed that consumers regard the attributes “Game Stability”, “Word-of-Mouth”, “Originality” and “Game Graphics” (in preference order) as valuable attributes toward Freemium mobile games. As an additional research, the willingness-to-pay of Freemium mobile games was also conducted, should future trends allow the dominance of paid mobile games.

    CHAPTER ONE INTRODUCTION 1 1.1. Research Background and Motivation1 1.2. Research objectives4 1.3. The scope and target of research4 CHAPTER TWO LITERATURE REVIEW5 2.1. Definition of Freemium5 2.1.1. Types of freemium6 2.2. Product Attribute Theory6 2.2.1. Using product manifestation to differentiate7 2.2.2. Using product forms to differentiate8 2.2.3. Using consumer satisfaction needs to differentiate 9 2.2.4. Using extrinsic and intrinsic levels to differentiate9 2.3. Conjoint Analysis10 2.3.1. Basic concepts of the Conjoint Analysis10 2.3.2. The merits and demerits of Conjoint Analysis11 2.3.3. The process of Conjoint Analysis12 CHAPTER THREE METHODOLOGY18 3.1. Procedure18 3.2. Filtering attributes19 3.2.1. Setting preliminary attributes19 3.2.2. Filtering attributes19 3.2.3. Pre-test questionnaire19 3.3. Data collection23 3.3.1. Constructing the stimuli23 3.3.2. Stimuli description24 3.3.3. Scale of measurement24 3.4. Results analysis and statistics25 3.4.1. Descriptive statistics25 3.5. The conjoint analysis measurement procedure25 3.5.1. Part-worth values25 CHAPTER FOUR EMPIRICAL ANALYSIS27 4.1. Orthogonal array27 4.2. Structural analysis of samples28 4.2.1. Demographic variables28 4.3 The conjoint analysis results of product attribute preferences for freemium mobile games29 4.3.1. The conjoint analysis results of all respondents29 4.3.2. The conjoint analysis results on each gender34 4.3.3. The conjoint analysis results on different age groups35 4.3.4. The conjoint analysis results on different education levels37 4.3.5. The conjoint analysis results on different income levels39 4.3.6. The conjoint analysis results on different occupations41 4.3.7. Willingness-to-pay42 CHAPTER FIVE CONCLUSION AND DISCUSSION43 5.1. Concluding remarks43 5.1.1. Freemium mobile game attributes43 5.1.2. The attribute preferences for all respondents43 5.1.3. Applying demographic variables to differentiate the preferences of respondents44 5.2. Advice for marketing and management47 5.2.1. Product strategy47 5.2.2. Pricing strategy47 5.3. Limitations of the study47 5.4. Recommendations for future research48 REFERENCES49 English References49 Web References50 中文參考文獻50 Appendix-1 52 Pre-test questionnaire52 Appendix-2 55 Final questionnaire55

    English References

    Green, P. E., Wind, Y. (1973). Multiattribute Decisions in Marketing: A Measurement Approach (Vol. 973). Hinsdale, IL: Dryden Press.
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    Green, P. E., K. Helsen, and B. Shandler (1988), "Conjoint Internal Validity under Alternative Profile Presentations, "Journal of Consumer Research, 15 (December), 392-397.
    Green, P. E., & Srinivasan, V. (1990). Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice. Journal of Marketing, 54(4).
    Hair. J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1984). Multivariate Data Analysis with Readings, 1995. New York, NY Macmillan.
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    Wang& Chin, A.H. (2011). Social Influence on Being a Pay User in Freemium-based Social Networks. The 25th International Conference on Advanced Intelligence Networks and Applications (AINA), pp. 526-533.
    Wind, Y. (1976). Preference of Relevant Others and Individual Choice Models. The Journal of Consumer Research, 3(1), 50-57.

    Web References
    "Global Games Market Will Reach $102.9 Billion in 2017" (2014). newzoo.com, 15 May. 2014.
    "List of game engines". Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc., Web. Date accessed (10 May. 2015). http://en.wikipedia.org/wiki/List_of_game_engines, 4 Sep. 2011.
    Perez, Sarah (2014). "Google Play Quarterly App Revenue More Than Doubled Over Past Year, Thanks To Games, Freemium Apps" techcrunch.com, 23 Jun. 2014.
    Shmilovici, Uzi (2011). "The Complete Guide To Freemium Business Models" techcrunch.com, 4 Sep. 2011.

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