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研究生: 杜麥可
Todosichuk, Michael
論文名稱: Understanding Musical Artists Motivation to Share Creative Commons Licensed Musical Works: Applying Social Capital and Social Cognitive Theory
Understanding Musical Artists Motivation to Share Creative Commons Licensed Musical Works: Applying Social Capital and Social Cognitive Theory
指導教授: 陳俊仁
Chen, Jun-Ren
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所碩士班
Institute of International Management (IIMBA--Master)
論文出版年: 2009
畢業學年度: 97
語文別: 英文
論文頁數: 65
外文關鍵詞: P2P file sharing, Jamendo.com, Music industry, Social Cognitive Theory, Sharing music, Social Capital Theory, virtual community, Creative Commons
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  • Recent technological advancements around digital music, P2P file sharing, and the Internet have forced changes onto the established music industry, especially when it comes to protecting copyrights. In light of this recent clash between technology and law, a new copyright has emerged that has been rapidly accepted by musical artists – this new copyright allows more choice and goes by the name, Creative Commons. New virtual communities, like Jamendo.com, have sprung up in which individuals are able to interact and share their Creative Commons licensed music. All these changes have meant adapt or suffer for the established music industry, as they seem to be losing support from their most important clients, the clients that make their business work, the musical artists themselves. Using Social Capital Theory and Social Cognitive Theory, this study explores the motivation for artists to share their musical works using Creative Commons licensing, via the Jamendo.com virtual community. Aspects of these theories have been found to significantly explain musical artists’ motivation, while a qualitative component of the study gives additional insight into musical artists’ motivation. All of which should be understood by the established music industry as they try to develop strategies for the changing times.

    Recent technological advancements around digital music, P2P file sharing, and the Internet have forced changes onto the established music industry, especially when it comes to protecting copyrights. In light of this recent clash between technology and law, a new copyright has emerged that has been rapidly accepted by musical artists – this new copyright allows more choice and goes by the name, Creative Commons. New virtual communities, like Jamendo.com, have sprung up in which individuals are able to interact and share their Creative Commons licensed music. All these changes have meant adapt or suffer for the established music industry, as they seem to be losing support from their most important clients, the clients that make their business work, the musical artists themselves. Using Social Capital Theory and Social Cognitive Theory, this study explores the motivation for artists to share their musical works using Creative Commons licensing, via the Jamendo.com virtual community. Aspects of these theories have been found to significantly explain musical artists’ motivation, while a qualitative component of the study gives additional insight into musical artists’ motivation. All of which should be understood by the established music industry as they try to develop strategies for the changing times.

    TABLE OF CONTENTS ACKNOWLEDGMENTS I ABSTRACT II TABLE OF CONTENTS III LIST OF TABLES VI LIST OF FIGURES VII CHAPTER ONE INTRODUCTION 1 1.1 Evolution of Music. 1 1.2 Technology. 2 1.3 Copyright Law and Music. 6 1.4 Creative Commons. 7 1.5 Music Sharing – New Business Models. 10 1.6 Jamendo.com. 11 1.7 Musical Artists. 12 1.8 Social Implications – Consumers. 13 1.8.1 Cost of Music. 13 1.8.2 Legal Liability. 14 1.8.3 Abundance of Choice. 15 CHAPTER TWO LITERATURE REVIEW 16 2.1 High-Profile Musical Artists. 17 2.2 Benefits to Online Music Sharing. 18 2.3 A New Type of Culture. 19 2.4 Knowledge Sharing vs. Creative Works Sharing. 20 2.5 Motivation/Contribution. 22 2.6 Theory. 23 2.7 Social Capital Theory. 23 2.7.1 Identification. 24 2.7.2 Shared Vision. 24 2.8 Social Cognitive Theory. 25 2.8.1 Personal Outcome Expectations. 25 2.8.2 Community-Related Outcome Expectations. 26 2.9 The Model. 26 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 28 3.1 Data Collection. 28 3.2 Selecting the Dataset. 29 3.3 Obtaining Results 29 3.4 Analysis. 29 3.4.1 Factor Analysis and Reliability Test. 30 3.4.2 Regression Analysis. 30 3.4.3 MANOVA. 30 3.4.4 Qualitative Analysis. 30 CHAPTER FOUR RESEARCH RESULTS 31 4.1 Confirmatory Factor Analysis. 31 4.2 MANOVA. 32 4.2.1 Number of Downloaders. 32 4.2.2 Creative Commons Licensing Type. 33 4.3 Regression Analysis 35 4.3.1 Regression Analysis Divided by CC License. 36 4.3.2 Regression Analysis Divided by Number of Downloaders. 38 4.3.3 Regression Analysis with Larger Dataset. 39 4.4 Qualitative Results. 41 4.4.1 Reasons for Choosing Creative Commons Licensing for Musical Works. 41 4.4.2 Reasons for Making Musical Works Available through Jamendo.com. 45 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 51 REFERENCES 58 APPENDICES 62 Appendix 1: Questionnaire Items 62 Appendix 2: Online Questionnaire 63 Appendix 3: Survey Introduction Form Letter 65

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