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研究生：	蓋瑞特 Clarke, Garret
論文名稱：	Factors Affecting the Implementation of Crowd Sourcing Factors Affecting the Implementation of Crowd Sourcing
指導教授：	張紹基 Chang, Shao-Chi
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：	96
外文關鍵詞：	Crowdsourcing, Micro-stock photography., Web 2.0
相關次數：	點閱：90 下載：2
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This thesis defines the business model known as crowdsourcing. The literature review provides an in depth analysis of this phenomenon based on literature from Howe, Brabham and other leading writers on this subject. The idea is also defined through using the examples of Istockphoto, Innocentive and Threadless. In order to fully understand the ideas behind this business model and the companies that utilize it, the theoretical underpinnings have been linked mainly with the work of Surowiecki, Von Hippel and Tapscott (Eric Von Hippel, 2005; Surowiecki, 2004; Tapscott & Williams, 2006). This provides the theoretical support in order to understand collective intelligence and the benefits form user interaction.
The data collection is a two prong qualitative approach where interviews and observational data were used in to help identify factors that affect the implementation of crowdsourcing. A conceptual model has been developed in order to understand the factors involved with this business model. The final result revolves heavily around the idea of community development

TABLE OF CONTENTS
ACKNOWLEDGEMENTS	I
ABSTRACT	II
TABLE OF CONTENTS	III
LIST OF TABLES	VI
LIST OF FIGURES	VII
CHAPTER ONE INTRODUCTION	1
1.1 Research Background.	1
1.2 Research Question.	5
1.3 Research Structure.	5
1.4 Conclusion.	6
CHAPTER TWO LITERATURE REVIEW	7
2.1 Introduction to Crowdsourcing.	8
2.2 Definition of Crowdsourcing.	8
2.3 Crowdsourcing in Practice.	10
2.3.1 InnoCentive.	11
2.3.2 Threadless.	13
2.3.3 Istockphoto.com.	17
2.4 The Stock Photography Industry.	19
2.4.1 History.	19
2.4.2 Industry Change.	22
2.4.3 The Microstock Agency.	25
2.5 Theoretical Data.	26
2.5.1 Collective Intelligence.	26
2.5.2 Communities.	28
2.6 Conclusion.	30
CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY	32
3.1 Introduction.	32
3.2 Structure of Research.	33
3.3 Qualitative Research Methods.	33
3.4 Observational Research.	34
3.5 In-depth Interview.	36
3.5.1 Sample.	37
3.5.2 Primary Interviews.	38
3.5.3 Secondary Interviews.	40
3.5.4 Observational Research.	42
3.6 Conclusion.	42
CHAPTER FOUR RESEARCH FINDINGS	44
4.1 Agency Distinction.	44
4.1.1 Lead Agencies.	45
4.1.2 Intermediate Agencies.	46
4.1.3 Low User Agencies.	47
4.2 Construct Development.	47
4.3 Community Development.	48
4.3.1 Community Development Construct.	49
4.3.2 Community Development Factors.	52
4.3.3 Conclusion.	61
4.4 Personal Attributes.	61
4.5 User Interaction.	66
CHAPTER FIVE CONCLUSION	73
5.1 Conclusion.	73
5.2 Contributions.	74
5.3 Limitations.	74
5.4 Future Research.	75
REFERENCES	77
APPENDICES	79
Appendix 1: Community Development	79
Appendix 2: Personal Attributes	86
Appendix 3: User Interaction	90
Appendix 4: Questionnaire Guideline	95


 
LIST OF TABLES
Table 4-1 Lead Agencies Sorted by Alexa Ranking	45
Table 4-2 Intermediate Agencies Sorted by Alexa Ranking	46
Table 4-3 Low User Agencies	47
Table 4-4 Interview Data: Community	49
Table 4-5 Community Development Observational Data	51
Table 4-6 Blog/Newsletter Interview Data	54
Table 4-7 Observational Percentages: Blog/Newsletter	55
Table 4-8 Interview Data on Resources	56
Table 4-9 Observational Data Percentages: Resources	56
Table 4-10 Observational Percentages: Featured Member	58
Table 4-11 Interview Data: Forum	59
Table 4-12 Personal Attributes Observational Data	62
Table 4-13 Observational Percentages: Biography	64
Table 4-14 Observational Percentages: Icons	65
Table 4-15 Interview Data: User Interaction	66
Table 4-16 Observational Data: User Interaction	68
Table 4-17 Observational Percentages: Email	70
Table 4-18 Observational Percentages: Comments	70
Table 4-19 Observational Percentages: Networking	71
Table 4-20 Observational Percentages: Critique	72

 
LIST OF FIGURES
Figure 1-1.Structure of research	6
Figure 2-1. Film cost breakdown	21
Figure 3-1. Structure of research	33
Figure 4-1. Distribution of Forum Contributions	60
Figure 4-2. Community development	61
Figure 4-3. Personal attributes	66
Figure 4-4. User Interaction	72
Figure 5-1. Factors Affecting Crowdsourcing	74
                                    

Aghion, P., & Tirole, J. (1994). The Management of Innovation. Quarterly Journal of Economics, 109, 1185-1209.

Aiken, J. (2009). Interview.

Allison, G., Does, R., Gatz, L., Rathe, R., McGuire, T., Reid, B., et al. (2006). SAA KEYWORDS SAA Journal, 27.

Beenen, G., Ling, K., Wang, X., Chang, K., Frankowski, D., Resnick, P., et al. (2004). Using social psychology to motivate contributions to online communities. Paper presented at the Proceedings of the 2004 ACM conference on Computer supported cooperative work. from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&dopt=AbstractPlus&list_uids=5867982802650886111related:328b5ERDb1EJ

Brabham, D. C. (2008a). Crowdsourcing as a Model for Problem Solving: An Introduction and Cases. Convergence.

Brabham, D. C. (2008b). Moving the crowd at iStockphoto: The composition of the crowd and motivations for participation in a crowdsourcing application. First Monday, 13(6), 1-22.

Chafkin, M. (2008). The Customer is the Company Inc. Magazine, 1-7

Cheng, R., & Vassileva, J. (2005). User motivation and persuasion strategy for peer-to-peer communities. System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii International Conference on, 193a-193a.

Crespo, R. (2007). Virtual community health promotion. Public Health Research, Practice, and Policy, 4(3).

Doherty, M., Baker, S., & Walker, D. (2005). Can we learn together? Co-creating with consumers. International Journal of Market Research, 47(4), 406 - 427.

Dosi, G., & Nelson, R. R. (1994). An introduction to evolutionary theories in economics. Journal of Evolutionary Economics, 4, 153-172.

Franke, N., & Shah, S. (2003). How Communities Support Innovative Activities: An Exploration of Assistance and Sharing Among End-Users. Research Policy, 32(1), 157-178.

Getty and Corbis Revenue Comparison (2005). Photo District News, 17.

Green, P. E., & Schaffer, C. M. (1998). Cluster-Based Market Segmentation: Some Further Comparisons of Alternative Approaches. Journal of the Market Research Society, 40(2), 140-159.

Heller, D. (2008a). Stock Photography, the Consumer and the Future. 12.

Heller, D. (2008b). The Five Truisms of the Photography Business.

Hempel, J. (2006, Dec 9). Crowdsourcing Milk the masses for inspiration. BusinessWeek, 1-2.

Heylighen, F. (1999). Collective Intelligence and its Implementation on the Web: algorithms to develop a collective mental map. Computational & Mathematical Organization Theory, 5(3), 253-280.

Hippel, E. V. (2005). Democratizing Innovation. Cambridge MIT Press.

Hippel, E. V., & Katz, R. (2002). Shifting Innovation to Users via Toolkits. Management Science, 48(7), 821-833.

Howe, J. (2006, Jan 1). The rise of crowdsourcing. Wired Magazine, 1-5.

Huston, L., & Sakkab, N. (2006). Connect and develop. HARVARD BUSINESS REVIEW, 84(3), 58-66.

Infringements of Stock Images and Lost Revenues (2007). SAA Journal, 11.

InnoCentive, I. (2009). About Us from www.innocentive.com

Jeppesen, L. B. (2005). User Toolkits for Innovation: Users Support Each Other. Journal of Product Innovation Management,.

Kalmikoff, J. (Producer). (2009) Web2ExpoSF 09

Kleemann, F., Günter, G., & Rieder, K. (2008). Un(der)paid Innovators: The Commercial Utilization of Consumer Work through Crowdsourcing Science, Technology & Innovation Studies 4(1), 1-22.

Kozinets, R., Hemetsberger, A., & Schau, H. (2008). The Wisdom of Consumer Crowds: Collective Innovation in the Age of Networked Marketing. Journal of Macromarketing, 28(4), 339 - 354.

Lampel, J., & Bhalla, A. (2007). The Role of Status-Seeking in Online Communities: Giving the Gift of Experience. Journal of Computer-Mediated Communication, 13(1).
Lang, D. (2006). The Five Biggest Threats To Stock Photography Photo District News, 7

Lerner, J., & Tirole., J. (2002). Some Simple Economics of Open Source. Journal of Industrial Economics, 50(2), 197–234.

Levy, P. (1997). Collective Intelligence: Mankind's Emerging World in Cyberspace. New York: Plenum.

Lewin, A. M. (2005). Digital Cameras Change Focus of Photo Industry 3.

Marinova, D. (2004). Actualizing innovation effort: the impact of market knowledge diffusion in a dynamic system of competition. Journal of Marketing, 68(3), 1-20.

Mollon, B. (2007). Digital v.s. Film Costs in Electron Microscopy. Gatan(16), 5.

Muñiz, A. M. J., & O’Guinn, T. C. (2001). Brand Community. Journal of Consumer Research Policy, 27, 412-457.

Murugesan, S. (2007). Understanding Web 2.0. IT Professional, 9(4), 34-41.

O'Reilly, T. (1997). O'Reilly Media

Rourke, L., & Anderson, T. (2002). Using peer teams to lead online discussions. Journal of Interactive Media in Education.

Shuen, A. (2008). Web 2.0: a strategy guide. Sebastapol, CA: O'Reilly Media.

Surowiecki, J. (2004). The Wisdom of Crowds. New York: Doubleday.

Walker, D. (2006). A Buck A Picture Photo District News, 9.

Whitla, P. (2009). Crowdsourcing and Its Application in Marketing Activities. Contemporary Management Research, 1(1), 1 - 10.

www.threadless.com (2009). Threadleass, from www.threadless.com

Zembylas, M. a. V., Charalambos (2005). Globalization, information and communication technologies, and the prospect of a 'global village': promises of inclusion or electronic colonization? Journal of Curriculum Studies, 37(1), 65-83.

Zhu, K., Kraemer, K., & Xu, S. (2006). The process of innovation assimilation by firms in different countries: A technology diffusion perspective on e-business. Management Science, 52(10), 1557.

校內：立即公開
校外：2009-07-22公開

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