臺灣博碩士論文加值系統

隨著專業性虛擬社群盛行，社群成員藉此討論彼此的經驗與看法，而攝影專業性的虛擬社群近幾年迅速發展，本研究目的於探討攝影專業社群討論內容的知識分享而形成的本體結構，並瞭解社群成員知識分享內容與知識內容之間的關聯性。本研究以台灣著名討論攝影的虛擬社群「台灣攝影雜誌」作為資料抽樣的來源，將台灣攝影學會庫存的所有資料取出，共取得546筆有關攝影討論的文章資料，接者透過內容分析法從蒐集的資料內容中，萃取出「角度」、「光線」、「構圖」、「情境」、「主配角」、「色彩」等6種討論類型。使用正規化概念分析建立攝影技巧討論內容的知識本體，並探討其本體之間的關聯性。研究結果顯示本體關聯性中，「情境」和「構圖」為最重要的兩個本體概念，並在文中詳細解釋正規化概念矩陣圖來展示各個知識本體間的關聯性。另外，也邀請攝影專家進一步探討6種討論類型的概念在攝影技巧中各自扮演了何種角色，各個攝影技巧的概念之間微妙搭配組合。研究結果可讓專業性虛擬社群管理者作為未來規劃、管理虛擬社群之參考依據。

Professional virtual communities have been wildly spread recently. Community members can discuss their thinking through those platforms. The photography virtual communities have the same situations. This study aims to explore the ontology structure of knowledge sharing on the professional photography community. In this study, data are collected from the “Official Magazine of The Photographic Society of Taiwan”, a famous virtual community on photography. Totally 546 photography articles are analyzed. The content of those articles are analyzed having six discussion types: “angle”, “light”, “composition”, “situation”, “the protagonist/supporting role”, and “color”. Those type are recognized as six concepts of photography. The ontology structure of those concepts is then build using formal concept analysis. The results show that the “situation” and “composition” are the most two important ontology concepts. Additionally, this study discussed the relationships among concepts. Finally, photography experts are invited to discuss the role of those concepts to support the results of FCA. Those experts illustrate the concept roles and the effect of combinations of those concepts. The results allow the professional virtual community managers to have better planning on management of virtual communities.

摘要
Abstract
誌謝
目錄
表目錄
圖目錄
第壹章 緒論
第一節 研究背景與動機
第二節 研究目的
第三節 論文架構
第貳章 文獻探討
第一節 虛擬社群
一、虛擬社群定義
二、虛擬社群類型
三、虛擬社群相關研究
第二節 知識分享
一、知識分享定義
二、知識分享轉換過程
三、知識分享相關研究
第三節 正規化概念分析
一、正規化概念分析定義
二、正規化概念分析相關研究
第參章 研究方法
第一節 研究流程與架構
第二節 虛擬社群資料蒐集
第三節 內容分析與概念分類
第四節 評分者信度分析
第五節 正規化概念分析程序
第六節 概念質化探討
第肆章 正規化概念分析結果
第一節 知識本體間之關聯性
第二節 矩陣圖之節點探討
一、正規化概念分析矩陣圖第一層
二、正規化概念分析矩陣圖第二層
三、正規化概念分析矩陣圖第三層
第伍章 概念質化探討
第一節 主概念探討
一、第一層中「情境」概念
二、第一層中「構圖」概念
三、第一層中「光線」概念
四、第一層中「角度」概念
第二節 概念關聯性探討
一、「情境」與「構圖」的概念交集
二、「主配角」與「角度」的概念交集
三、「情境」、「構圖」與「光線」的概念交集
四、「角度」、「主配角」與「色彩」的概念交集
第陸章 結論與建議
第一節 結論
第二節 未來發展與研究限制
參考文獻

中文部份:
1.余民寧(1997)，「教育測驗與評量」，心理出版社，台北。
2.周文賢(2004)，「多變量統計分析:SAS/STAT使用方法」，智勝文化事業有限公司，台北。
3.林東清(2009)，「資訊管理¬－e化企業的核心競爭能力」，智勝文化事業有限公司，台北。
4.邱貴發(1996)，「情境學習理念與電腦輔助學習¬－學習社群理念探討」，師大書苑，台北。
5.胡凱文(2008)，「汽車社群討論區之社會網路關聯分析」，碩士論文，國立屏東商業技術學院資訊管理研究所，屏東。
6.徐其力(2003)，「組織文化與知識分享動機對知識分享之影響研究」，中山管理評論，第十一卷，第三期，第409-431頁。
7.郭美滿(2002)，「發展經營虛擬社群資源之探討－以非營利組織的資源與行銷觀點的分析模式作推導研究」，中原大學資訊管理研究所碩士論文，桃園。
8.陳俊良(2002)，「線上遊戲顧客忠誠度之研究」，碩士論文，國立台灣科技大學企業管理研究所，台北。
9.陳懷遠(2001)，「陳懷遠攝影集」，個人出版品，台南。
10.彭淑惠、林美岑、許崴欽(2009)，「華語文寫作能力測驗信度與評分者一致性探討」，第六屆全球華文網路教育研討會，No.48，台北。
11.謝進昌(2006)，「精熟標準設定方法的歷史演進與詮釋的新概念」，國立嘉義大學國民教育研究所國民教育研究學報，第十六卷，第157-193頁。

英文部份:
1.Anderson, W. T. (1999), “Communities in a World of Open Systems,” Futures, Vol. 31, No. 5, pp.457-463.
2.Armstrong, A. and Hagel, III. J. (1995), “Real Profits from Virtual Communities,” The McKinsey Quarterly, No. 3, pp. 127-141.
3.Armstrong, A. and Hagel, III. J. (1996), “The Real Value of On-line Communities,” Harvard Business Review, Vol. 74, No. 3, pp. 134-140.
4.Armstrong, A. and Hagel, III. J. (1997), “Net Gain: Expanding Markets Through Virtual Communities,” Harvard Business School Press, Boston.
5.Barrett, M., Cappleman, S., Shoib, G., and Walsham, Geoff. (2004), “Learning in Knowledge Communities: Managing Technology and Context,” European Management Journal, Vol. 22, No. 1, pp. 1-11.
6.Beydoun, G. (2009), “Formal Concept Analysis for an E-Learning Semantic Web,” Expert Systems with Applications, Vol. 36, pp. 10952-10961.
7.Birkhoff, G. (1940), “Lattice Theory,” American Mathematical Society Colloquium Bublications, New York.
8.Blanchard, A. L. (2008), “Testing a Model of Sense of Virtual Community,” Computers in Human Behavior, Vol. 24, pp. 2107-2123.
9.Boczkowski, P. J. (1999), “Mutual Shaping of Users and Technologies in a National Virtual Community,” Journal of Communication, Vol. 49, No. 2, pp. 86-108.
10.Bostrom, R. P. (1989), “Successful Development Process,” Information and Management, Vol. 16, pp. 279-295.
11.Brenner, E. (2000), “Virtual Communities in the Business World,” Information Today, Vol. 17, No. 11, pp. 16-18.
12.Chang, P. K., Kannan, P. K., and Andrew, B. W. (1999), “Electronic Communities as Intermediaries: The Issues and Economics,” Proceeding of the 32nd Hawaii International Conference on System Sciences, pp. 1-10.
13.Chaudhury, A., Mallick, D. N., and Rao, H. R. (2001), “Web Channel in E-commerce,” Association for Computing Machinery, Vol. 44, No. 1, pp. 99-104.
14.Chen, W. J. and Cheng, H. Y. (2011), “Factors Affecting the Knowledge Sharing Attitude of Hotel Aervice Personnel,” International Journal of Hospitality Management, article in press.
15.Chen, C. J. and Hung, S. W. (2010), “To Give or to Receive? Factors Influencing Members’ Knowledge Sharing and Community Promotion in Professional Virtual Communities,” Information & Management, Vol. 47, pp. 226-236.
16.Darr, E. D. and Kurtzberg, T. R. (2000), “An Investigation of Partner Similarity Dimensions on Knowledge Transfer,” Organizational Behavior and Human Decision Processes, Vol. 82, No. 1, pp. 28-44.
17.Dau, F. and Klinger, J. (2005), “From Formal Concept Analysis to Contextual Logic,” In Proceedings of International Conference on Formal Concept Analysis (ICFA), Vol. 3626, pp. 81-100.
18.Davenport T. H. and Prusak, L. (1998), “Working Knowledge: How Organizations Manage What They Know,” Harvard Business School Press, Boston.
19.Despres, C. and Daniel, C. (1999), “Knowledge Management,” Journal of Knowledge Management, Vol. 3, No. 2, pp. 110-120.
20.Dholakia, U. M., Bagozzi, R. P., and Pearo, L. K. (2004), “A Social Influence Model of Consumer Particpation in Network and Amall-Group-Based Virtual Communities,” International Journal of Research in Marketing, Vol. 21, No. 3, pp. 241-263.
21.Dixon, N. D. (2000), “Common Knowledge: How Companies Thrive by Sharing What They Know,” Harvard Business School Press, Boston.
22.Dudier, D. and Prade, H. (2011), “Possibility Theory and Formal Concept Analysis: Characterizing Independent Sub-Contexts,” Fuzzy Sets and Systems , article in press.
23.Etzioni, A. and Etzioni, O. (1999), “Face-to-face and Computer-mediated Communities, a Comparative Analysis,” The Information Society, Vol. 15, No. 4, pp. 241-248.
24.Formica, A. (2006), “Ontology-based Concept Similarity in Formal Concept Analysis,” Information Sciences, Vol. 176, No. 18, pp. 2624-2641.
25.Formica, A. (2008), “Concept Similarity in Formal Concept Analysis: An information Content Approach,” Knowledge-Based Systems, Vol. 21, No. 1, pp. 80-87.
26.Ganter, B. and Wille, R. (1999), “Formal Concept Analysis: Mathematical Foundations,” New York : Springer, Berlin.
27.Granitz, Z. A. and Ward, J. C. (1996), “Virtual Community: Socio-cognitive Analysis,” Advance in Consumer Research, Vol. 23, pp. 161-166.
28.Grisham, D., Bergeron, B., and Brink, B. (1999), “Connecting Communities of Practice through Professional Development School Activities,” Journal of Teacher Education, Vol. 50, No. 3, pp. 182-191.
29.Gupta, S. and Kim, H. W. (2004), “Virtual Community: Concepts, Implications, and Future Research Directions,” Proceedings of the 10th Americas Conference on Information Systems, New York, August, pp. 2679-2687.
30.Hagel, III. J. and Armstrong A. G. (1997), Net Gain: Expanding Markets Through Virtual Communities, Harvard Business School Press, Boston.
31.Hansen, M. T. (1999), “The Search-transfer Problem: The Role of Weak Ties in Sharing Knowledge Across Organizations Subunits,” Administrative Science Quarterely, Vol. 44, pp. 82-111.
32.Hidding, G. and Shireen, M. C. (1998), “Anatomy of a Learning Organization: Turning Knowledge into Capital at Andersen Consulting,” Knowledge and Process Management, Vol. 5, No. 1, pp. 3-13.
33.Hoffman, D. L. and Novak T. P. (1996), “Marketing in Hypermedia Computer-mediated Environments; Conceptual Foundations,” Journal of Marketing, Vol. 60, No. 3, pp. 50-68.
34.Hong, D., Suh, E., and Koo, C. (2011), “Developing Strategies for Overcoming Barriers to Knowledge Sharing Based on Conversational Knowledge Management: A Case Study of a Financial Company,” Expert Systems with Applications, article in press.
35.Inbaria, M., Shayo, C., and Olfman, L. (1999), “On Becoming Virtual: The Driving Forces and Arrangements,” Proceedings of SIGCPR, New Orleans L.A. U.S.A., pp. 27-41.
36.Jiang, G., Ogasawara, K., Endoh, A., and Sakurai, Y. (2003), “Context-Based Ontology Building Support in Clinacal Domains Using Formal Concept Analysis,” International Journal of Medical Informatics, Vol. 71, pp. 71-81.
37.Jiang, G., Pathak, J., and Chute, C. G. (2009) “Formalizing ICD Coding Rules Using Formal Concept Analysis,” Journal of Biomedical Informatics, Vol.42, pp. 504–517.
38.Johnson, C. M. (2001), “A Survey of Current Research on Online Communities of Practice,” Internet and Higher Education, Vol. 4, pp. 45-60.
39.Jones, S. G. (1995), “Cybersociety: Computer-mediated Communication and Community,” Understanding Community in the Information Age(10-35), CA: Sage, Thousand Oaks.
40.Kannan, P. K., Chang, A. M., and Whinston, A. B. (1998), “Marketing Information on the I-way,” Communications of the ACM, Vol. 41, No. 3, pp. 35-43.
41.Kim, W. G., Lee, C., and Hiemstra S. J. (2004), “Effects of an Online Virtual Community on Customer Loyalty and Travel Product Purchase,” Tourism Management, Vol. 25, No. 3, pp. 343-355.
42.Kim, J., Song, J., and Jones, D. R. (2011), “The Cognitive Selection Framework for Knowledge Acquisition Strategies in Virtual Communities,” International Journal of Information Management, Vol. 31, No. 2, pp. 111-120.
43.Koh, J. and Kim, Y. G. (2004), “Knowledge Sharing in Virtual Communities: An E-Business Perspective,” Expert Systems with Applications, Vol. 26, No. 2, pp. 155-166.
44.Lechner, U. and Hummel, J. (2002), “Business Models and System Architecture of Virtual Communities: From a Sociological Phenomenon to Peer to Peer Architecture,” International Journal of Electronic Commerce, Vol. 6, No. 3, pp. 41-53.
45.Lee, C., Jeon, J., and Park, Y. (2011), “Monitoring Trends of Technological Changes Based on the Dynamic Patent Lattice: A modified Formal Concept Analysis Approach,” Technological Forecasting and Social Change, Vol. 78, pp. 690–702.
46.Lin, H. F. (2008), “Determinants of Successful Virtual Communities: Contributions form System Characteristics and Social Factors,” Information & Management, Vol. 45, pp. 522-527.
47.Lin, M. J. J., Hung, S. W. and Chen, C. J. (2009), “Fostering the Determinants of Knowledge Sharing in Professional Virtual Communities,” Computer in Human Behavior, Vol. 25, pp. 929-939.
48.Lu, Y. and Yang, D. (2011), “Information Exchange in Virtual Communities under Extreme Disaster Conditions,” Decision Support Systems, Vol. 50, No. 2, pp. 529-538.
49.Mayer, R. C., Davis, J. H., and Schoorman, F. D. (1995), “An Integrative Model of Organizational Trust,” Academy of Management Review, Vol. 20, No. 3, pp. 709-734.
50.Moon, J. W. and Kim, Y. G. (2001), “Extending the TAM for a World-Wide-Web Context,” Information and Management, Vol. 38, No. 4, pp. 217-230.
51.Moor, A. D. and Weigand, H. (2007), “Formalizing the Evolution of Virtual Communities,” Information Systems, Vol. 32, No. 2, pp. 223-247.
52.Nancy, M. D. (2000), “Common Knowledge: How Companies Thrive by Sharing What They Know,” Harvard Business School Press, Boston.
53.Nonaka, I. and Takeuchi, H. (1995), The Knowledge-Creating Company, N.Y.: Oxford University Press, Stock.
54.Oldenburg, R. (1993), “Big Companies Plug Big Causes for Big Gains,” Business and Society Review, Vol. 83, No. 1993, pp. 22-23.
55.Plant, R. (2004), “Online Community,” Technology in Society, Vol. 26, No. 1, pp. 51-65.
56.Preece, J. (2001), “Sociability and Usability in Online Communities: Determining and Measuring Success,” Behavior and Information Technology, Vol. 20, No. 5, pp. 347-356.
57.Reid, E. (1995), “Virtual Worlds: Culture and Imagination,” In Steven G. Jones(Ed.),Cybersociety: Computer-mediated Communication and Community, London: Sage Publication, Inc., pp. 164-183.
58.Rheingold, H. (1993), “Virtual Community: Homesteading on the Electronic Frontier,” Addison-Wesley, Massachusetts.
59.Romm, C., Pliskin, N., and Clarke, R. (1997), “Virtual Communities and Society: Toward and Integrative Three Phase Model,” International journal of Information Management, Vol. 17, No. 4, pp. 261-270.
60.Rothaermel, F. T. and Sugiyama, S. (2001), “Virtual Internet Communities and Commercial Success: Individual and Community-Level Theory Grounded in the Atypical Case of TimeZone.com,” Journal of Management, Vol. 27, pp. 297-312.
61.Senge, P. (1997), “Sharing Knowledge: The Leader’s Role Is Key to a Learning Culture,” Executive Excellence, Vol. 4, No. 11, pp. 17-18.
62.Shu, W. and Chuang, Y. H. (2011), “Why People Share Knowledge in Virtual Communities,” Social Behavior and Personality, Vol. 39, pp. 671-690.
63.Sveiby, k. E. (1997), “The New Organization Wealth: Management and Measuring Knowledge-based Assets,” BerrettKeohnler Publication, San Francisco.
64.Tam, G. K. T. (2004), “Formal Concept Analysis and Text Similarity,” Computer Science and Software Engineering Monash University, A. U.
65.Tickle, M., Adebanjo, D., and Michaelides, Z. (2011), “Developmental Approached to B2B Virtual Communities,” Technovation, Vol. 31, pp. 296-308.
66.Toral, S., Martinez-Torres, M., and Barrero, F. (2010), “Analysis of Virtual Communities Supporting OSS Prejects Using Social Network Analysis,” Information and Software Technology , Vol. 52, pp. 296-303.
67.Tseng, S. and Huang, J. S. (2011), “The Correlation Between Wikipedia and Knowledge Sharing on Job Performance,” Expert Systems with Applications, Vol. 38, pp. 6118-6124.
68.Valck, K. D., Bruggen, G. H. V., and Wierenga, B. (2009), “Virtual Communities: A Marketing Perspective,” Decision Support Systems, Vol. 47, No. 3, pp. 185-203.
69.Wang, S. and Noe, R. A. (2010), “Knowledge Sharing: A Review and Directions for Future Research,” Human Resource Management Review, Vol. 20, pp. 115-131.
70.Wellman, B. (2000), “Computer Networks as Social Network: Collaborative Work, Telework and Community,” Annual Review of Sociology, Vol. 22, pp. 211-238.
71.Wenjing, X. (2005), “Virtual Space, Real Identity: Exploring Cultural Identity of Chinese Diaspora in Virtual Community,” Telematics and Informatics, Vol. 22, No. 4, pp. 395-404.
72.Wijnhoven, F. (1999), “Knowledge Logistic in Business Contexts: Analyzing and Diagnosing Knowledge Sharing by Logistic Concepts,” Knowledge and Process Management, Vol. 5, pp. 143-157.
73.Wille, R. (1999), “Formal Concept Analysis: Tutorial on Formal Concept Analysis,” Electronic Notes in Discrete Mathematics, Vol. 2, pp. 199-200.
74.Wolff, K. E. (1993), “A first Course Concept Analysis How to Understand Line Diagrams,” Advances in Statistical Software, Vol. 4, pp. 429-438.
75.Wu, J. J. and Tsang, A. S. L. (2008), “Factors Affecting Members’ Trust Belief and Behaviour Intention in Virtual Communities,” Behaviour and Information Technology, Vol. 27, pp. 115-125.
76.Zhang, G. Q., Shen, G., Staiger, J., Troy, A., and Sun, J. (2005), “FCAWN: Formal Concept Analysis as a Formal Method for Automated Web-menu Design,” 12th International Conference on Conceptual Structures, In Pfeiffer Wolff and Delugach(Eds.), Conceptual Structures at Work, Shaker Verlag, pp. 141-145.