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題名：建立知識流程觀模式協助群體知識支援
作者：林志偉
作者(外文)：Lin, Chih-Wei
校院名稱：國立交通大學
系所名稱：資訊管理研究所
指導教授：劉敦仁
學位類別：博士
出版日期：2012
主題關鍵詞：知識流；知識流程觀；虛擬知識流程；合作型知識支援；知識管理；knowledge flow；knowledge-flow view；virtual knowledge flow；cooperative knowledge support；knowledge management
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在知識密集的工作環境中，有效地提供工作者所需的知識文件，以協助其工作執行，是知識管理領域中的重要議題。從知識需求的角度分析，知識流代表個別與群體知識工作者在執行工作時，其知識需求與知識參考行為的脈絡。組織運用知識流，可有系統的將工作者的知識需求作精確的表示，亦可有效地藉此運作組織的知識支援體系。然而，在群體合作的環境下，不同工作者依其任務特性或扮演角色的不同，常有不同的知識需求。目前已知的知識流研究，大多只提供單一知識流讓工作者參考，並未考量知識流在團隊合作中的適用性。
本研究提出『知識流程觀』模式，以有效改善知識流研究之不足。此一知識流程觀模式，以知識流為基礎，將工作特性及個別角色納入考量，使不同的工作者對同一知識流可有不同的虛擬知識流來滿足其知識需求。
首先，以知識本體論作為知識流中知識節點抽象化的基礎，來建構基礎知識流，從而系統性的表達工作者的知識需求。
在基礎知識流之上，本研究建構知識流程觀模式並進行理論探討。知識流程觀主要是將基礎知識流中的部分知識節點，依照工作特性的知識需求，進行知識概念的歸納抽象化，以產生虛擬知識節點，並進而產生符合工作者知識需求的虛擬知識流。
為了探討工作者在不同角色時的知識需求，本研究亦提出，『以角色為基礎的知識流程觀』模式，利用角色與知識節點的相關度來產生虛擬知識節點，及分析角色所需知識概念層級與工作應有知識概念層級來推算角色知識需求。
知識流程觀與虛擬知識流是一個創新概念與理論模式，不但可擴展知識流的研究理論，對於組織的知識管理，特別是合作型知識支援的推展具有創新與實務的貢獻。
In knowledge-intensive working environments, workers need task-relevant knowledge and documents to support their task performance. Thus, how to effectively fulfill workers’ knowledge-needs is an important issue in realizing knowledge management in organizations. From a knowledge-needs perspective, a knowledge flow (KF) represents a flow of individual’s or group members’ knowledge-needs and referencing behavior of codified knowledge in conducting tasks. The flow has been utilized to facilitate organizational knowledge support by illustrating workers’ knowledge-needs systematically and precisely. However, conventional knowledge-flow models cannot work well in cooperative teams, which team members usually have diverse knowledge-needs in terms of task functions and roles. The reason is that those conventional models only provide one single view to all participants and do not reflect individual knowledge-needs in teams.
Hence, the novel concepts and theoretical model of knowledge flow view (KFV) are proposed in this dissertation. The KFV model builds virtual knowledge flows derived from a base KF to provide abstracted knowledge to serve different workers’ knowledge-needs from task function and role perspectives.
This dissertation uses domain ontology as the base of knowledge node abstraction. Hence, base knowledge flows are built to represent workers’ knowledge-needs systematically. Based on the base knowledge flows, a theoretical model of KFV is investigated and developed for discovering virtual knowledge nodes and virtual knowledgeflows. The KFV model abstracts the knowledge nodes of partial base knowledge flow to generate virtual knowledge nodes according to task functions, through knowledge concept induction and generalization.
In addition, this dissertation proposes a role-based KFV model to investigate different knowledge-needs of distinct roles. The model exploits the relevance degrees between roles and knowledge nodes to derive virtual knowledge nodes and analyzes roles’ required knowledge concept level and operation required knowledge concept level to derive knowledge concepts of virtual knowledge nodes.
The models of KFV and the concept of virtual knowledge flow are innovative, which extends the scope of knowledge flow research and enhances the efficiency of cooperative knowledge support in organizations.
[1] A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek, "Context-aware, proactive delivery of task-specific information: the knowmore project", Information Systems Frontiers, 2 (3), pp. 253-276, 2000.new window
[2] A. Abecker, A. Bernardi, H. Maus, M. Sintek, and C. Wenzel, "Information supply for business processes: coupling workflow with document analysis and information retrieval", Knowledge-Based Systems, 13 (5), pp. 271-284, 2000.
[3] Y. Afacan and H. Demirkan, "An ontology-based universal design knowledge support system", Knowledge-Based Systems, 24 (4), pp. 530-541, 2011.
[4] H. J. Ahn, H. J. Lee, K. Cho, and S. J. Park, "Utilizing knowledge context in virtual collaborative work", Decision Support Systems, 39 (4), pp. 563-582, 2005.
[5] A. Anjewierden, R. de Hoog, R. Brussee, and L. Efimova, "Detecting knowledge flows in weblogs" in Proceedings of the Thirteenth International Conference on Conceptual Structures, pp. 1-12, Atlanta, 2005.
[6] S. Biundo, R. Aylett, M. Beetz, D. Borrajo, A. Cesta, T. Grant, L. McCluskey, A. Milani, and G. Verfaille, "Technological roadmap on AI planning and scheduling," PLANET, 2003.
[7] C. Chandra and A. Tumanyan, "Organization and problem ontology for supply chain information support system", Data & Knowledge Engineering, 61 (2), pp. 263-280, 2007.
[8] I. Chebbi, S. Dustdar, and S. Tata, "The view-based approach to dynamic inter-organizational workflow cooperation", Data & Knowledge Engineering, 56 (2), pp. 139-173, 2006.
[9] H. H. Chen and C. Pang, "Organizational forms for knowledge management in photovoltaic solar energy industry", Knowledge-Based Systems, 23 (8), pp. 924-933, 2010.
[10] Y.-J. Chen, "Development of a method for ontology-based empirical knowledge representation and reasoning", Decision Support Systems, 50 (1), pp. 1-20, 2010.new window
[11] S. Y. Choi, Y. S. Kang, and H. Lee, "The effects of socio-technical enablers on knowledge sharing: an exploratory examination", Journal of Information Science, 34 (5), pp. 742-754, 2008.
[12] H. K. H. Chow, K. L. Choy, and W. B. Lee, "A strategic knowledge-based planning system for freight forwarding industry", Expert Systems with Applications, 33 (4), pp. 936-954, 2007.
[13] D. T. Croasdell, M. Jennex, Z. Yu, T. Christianson, M. Chakradeo, and W. Makdum, "A meta-analysis of methodologies for research in knowledge management, organizational learning and organizational memory: five years at HICSS" in Proceedings of the 36th Annual Hawaii International Conference on System Sciences, 2003.
[14] P. F. Drucker, "The coming of the new organization", Harvard Business Review, 66 (1), pp. 45-53, 1988.new window
[15] T. C. Du, F. Li, and I. King, "Managing knowledge on the Web – Extracting ontology from HTML Web", Decision Support Systems, 47 (4), pp. 319-331, 2009.
[16] A. C. Edmondson and I. M. Nembhard, "Product development and learning in project teams: the challenges are the benefits", Journal of Product Innovation Management, 26 (2), pp. 123-138, 2009.
[17] R. Eshuis and P. Grefen, "Constructing customized process views", Data & Knowledge Engineering, 64 (2), pp. 419-438, 2008.
[18] T. R. Gruber, "A translation approach to portable ontology specifications", Knowledge Acquisition, 5 (2), pp. 199-220, 1993.
[19] Z. Guo and J. Sheffield, "A paradigmatic and methodological examination of knowledge management research: 2000 to 2004", Decision Support Systems, 44 (3), pp. 673-688, 2008.
[20] M. Havey, Essential business process modeling: O'Reilly Media, Inc., 2005.
[21] J. J. Huang, "The evolutionary perspective of knowledge creation - a mathematical representation", Knowledge-Based Systems, 22 (6), pp. 430-438, 2009.
[22] R. S. Huckman, B. R. Staats, and D. M. Upton, "Team familiarity, role experience, and performance: evidence from Indian software services", Management Science, 55 (1), pp. 85-100, 2009.new window
[23] Y. G. Ji, J. H. Park, C. Lee, and M. H. Yun, "A usability checklist for the usability evaluation of mobile phone user interface", International Journal of Human-Computer Interaction, 20 (3), pp. 207-231, 2006.
[24] J.-Y. Jung, K. Kim, D. Shin, and J. Park, "FlowWiki: A wiki based platform for ad hoc collaborative workflows", Knowledge-Based Systems, 24 (1), pp. 154-165, 2011.new window
[25] S. Kim, H. Hwang, and E. Suh, "A process-based approach to knowledge-flow analysis: a case study of a manufacturing firm", Knowledge and Process Management, 10 (4), pp. 260-276, 2003.
[26] J. Kingston and A. Macintosh, "Knowledge management through multi-perspective modelling: representing and distributing organizational memory", Knowledge-Based Systems, 13 (2-3), pp. 121-131, 2000.
[27] M. M. Kwan and P. Balasubramanian, "KnowledgeScope: managing knowledge in context", Decision Support Systems, 35 (4), pp. 467-486, 2003.
[28] C.-H. Lai and D.-R. Liu, "Integrating knowledge flow mining and collaborative filtering to support document recommendation", Journal of Systems and Software, 82 (12), pp. 2023-2037, 2009.
[29] S.-T. Li and H.-C. Hsieh, "Managing operation knowledge for the metal industry", Journal of Universal Computer Science, 9 (6), pp. 472-480, 2003.
[30] C.-W. Lin, D.-R. Liu, and H.-F. Chen, "Facilitating cooperative knowledge support by role-based knowledge-flow views" in Proceedings of International Conference on Information and Knowledge Engineering, Singapore, 2011.
[31] C. Lin, B. Tan, and S. Chang, "An exploratory model of knowledge flow barriers within healthcare organizations", Information & Management, 45 (5), pp. 331-339, 2008.
[32] H.-F. Lin, "A stage model of knowledge management: an empirical investigation of process and effectiveness", Journal of Information Science, 33 (6), pp. 643-659, 2007.
[33] D.-R. Liu and C.-H. Lai, "Mining group-based knowledge flows for sharing task knowledge", Decision Support Systems, 50 (2), pp. 370-386, 2011.
[34] D.-R. Liu and C.-W. Lin, "Modeling the knowledge-flow view for collaborative knowledge support", Knowledge-Based Systems, 31 pp. 41-54, 2012.
[35] D.-R. Liu, C.-W. Lin, and H.-F. Chen, "Discovering role-based virtual knowledge flows for organizational knowledge support," Institution of Information Management, National Chiao Tung University, Working paper, 2012.
[36] D.-R. Liu and M. Shen, "Workflow modeling for virtual processes: an order-preserving process-view approach", Information Systems, 28 (6), pp. 505-532, 2003.
[37] D.-R. Liu and M. Shen, "Business-to-business workflow interoperation based on process-views", Decision Support Systems, 38 (3), pp. 399-419, 2004.
[38] D.-R. Liu and I.-C. Wu, "Collaborative relevance assessment for task-based knowledge support", Decision Support Systems, 44 (2), pp. 524-543, 2008.
[39] P. Liu, B. Raahemi, and M. Benyoucef, "Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective", Knowledge-Based Systems, 24 (3), pp. 427-443, 2011.
[40] X. Luo, Q. Hu, W. Xu, and Z. Yu, "Discovery of textual knowledge flow based on the management of knowledge maps", Concurrency and Computation: Practice and Experience, 20 (15), pp. 1791-1806, 2008.
[41] C. Marinica and F. Guillet, "Knowledge-based interactive postmining of association rules using ontologies", IEEE Transactions on Knowledge and Data Engineering, 22 (6), pp. 784-797, 2010.
[42] M. E. Nissen, "An extended model of knowledge-flow dynamics", Communications of the Association for Information Systems, 8 pp. 251-266, 2002.
[43] V. T. Nunes, F. M. Santoro, and M. R. S. Borges, "A context-based model for knowledge management embodied in work processes", Information Sciences, 179 (15), pp. 2538-2554, 2009.
[44] A. Öhgren and K. Sandkuhl, "Towards a methodology for ontology development in small and medium-sized enterprises" in IADIS Conference on Applied Computing, Algarve, Portugal, 2005.
[45] Á. E. Prieto and A. Lozano-Tello, "Use of ontologies as representation support of workflows oriented to administrative management", Journal of Network and Systems Management, 17 (3), pp. 309-325, 2009.
[46] M. D. R-Moreno, D. Borrajo, A. Cesta, and A. Oddi, "Integrating planning and scheduling in workflow domains", Expert Systems with Applications, 33 (2), pp. 389-406, 2007.
[47] Y. Ren, K. M. Carley, and L. Argote, "The contingent effects of transactive memory: when is it more beneficial to know what others know?", Management Science, 52 (5), pp. 671-682, 2006.
[48] A. Riege, "Three-dozen knowledge-sharing barriers managers must consider", Journal of Knowledge Management, 9 (3), pp. 18-35, 2005.
[49] O. M. Rodríguez-Elias, A. I. Martínez-García, A. Vizcaíno, J. Favela, and M. Piattini, "A framework to analyze information systems as knowledge flow facilitators", Information and Software Technology, 50 (6), pp. 481-498, 2008.
[50] V. Sambamurthy and M. Subramani, "Special issue on information technologies and knowledge management", MIS Quarterly, 29 (1), pp. 1-7, 2005.new window
[51] I. Savvas and N. Bassiliades, "A process-oriented ontology-based knowledge management system for facilitating operational procedures in public administration", Expert Systems with Applications, 36 (3), pp. 4467-4478, 2009.
[52] K. A. Schulz and M. E. Orlowska, "Facilitating cross-organisational workflows with a workflow view approach", Data & Knowledge Engineering, 51 (1), pp. 109-147, 2004.new window
[53] M. Shen and D.-R. Liu, "Discovering role-relevant process-views for disseminating process knowledge", Expert Systems with Applications, 26 (3), pp. 301-310, 2004.
[54] V. Sugumaran and V. C. Storey, "Ontologies for conceptual modeling: their creation, use, and management", Data & Knowledge Engineering, 42 (3), pp. 251-271, 2002.
[55] Z. S. Syed, T. Finin, and A. J, "Wikipedia as an ontology for describing documents" in Proceedings of the Second International Conference on Weblogs and Social Media, Seattle, Washington, 2008.
[56] M. Uschold and M. Gruninger, "Ontologies: Principles, methods and applications", Knowledge Engineering Review, 11 (2), pp. 93-136, 1996.
[57] M. Uschold and M. King, "Towards a methodology for building ontologies" in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 1995.
[58] W.-T. Wang and S. Belardo, "The role of knowledge management in achieving effective crisis management: a case study", Journal of Information Science, 35 (6), pp. 635-659, 2009.
[59] Y.-F. Wen, "An effectiveness measurement model for knowledge management", Knowledge-Based Systems, 22 (5), pp. 363-367, 2009.
[60] S.-S. Weng and H.-L. Chang, "Using ontology network analysis for research document recommendation", Expert Systems with Applications, 34 (3), pp. 1857-1869, 2008.
[61] M. Weske, Business process management: concepts, languages, architectures: Springer, 2007.
[62] I.-C. Wu, D.-R. Liu, and P.-C. Chang, "Toward incorporating a task-stage identification technique into the long-term document support process", Information Processing & Management, 44 (5), pp. 1649-1672, 2008.
[63] I.-C. Wu, D.-R. Liu, and P.-C. Chang, "Learning dynamic information needs: a collaborative topic variation inspection approach", Journal of the American Society for Information Science and Technology, 60 (12), pp. 2430-2451, 2009.
[64] Y. Xu and A. Bernard, "Quantifying the value of knowledge within the context of product development", Knowledge-Based Systems, 24 (1), pp. 166-175, 2011.new window
[65] C. C. Yang, J. Lin, and C.-P. Wei, "Retaining knowledge for document management: category-tree integration by exploiting category relationships and hierarchical structures", Journal of the American Society for Information Science and Technology, 61 (7), pp. 1313-1331, 2010.
[66] Z. Zhang, Z. Yang, and Q. Liu, "Modeling knowledge flow using Petri Net" in IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, pp. 142-146, China, 2008.
[67] J. L. Zhao, H. H. Bi, H. Chen, D. D. Zeng, C. Lin, and M. Chau, "Process-driven collaboration support for intra-agency crime analysis", Decision Support Systems, 41 (3), pp. 616-633, 2006.
[68] W. Zhao and W. Dai, "Integrated modeling of business processes and knowledge flow based on RAD" in IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, pp. 49-53, China, 2008.
[69] H. Zhuge, "Knowledge flow management for distributed team software development", Knowledge-Based Systems, 15 (8), pp. 465-471, 2002.
[70] H. Zhuge, "A knowledge flow model for peer-to-peer team knowledge sharing and management", Expert Systems with Applications, 23 (1), pp. 23-30, 2002.new window
[71] H. Zhuge, "Discovery of knowledge flow in science", Communications of the ACM, 49 (5), pp. 101-107, 2006.
[72] H. Zhuge, "Knowledge flow network planning and simulation", Decision Support Systems, 42 (2), pp. 571-592, 2006.
[73] H. Zhuge and W. Guo, "Virtual knowledge service market - for effective knowledge flow within knowledge grid", Journal of Systems and Software, 80 (11), pp. 1833-1842, 2007.
 
 
 
 
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