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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/49659
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/49659


    Title: 一個以聲譽為基礎的協同合作信任夥伴選取模式
    A Reputation-based Model for Selecting Trusted Collaborative Partners
    Authors: 陳樂惠
    Chen, Le Hui
    Contributors: 林我聰
    陳樂惠
    Chen, Le Hui
    Keywords: 協同合作
    協同供應鏈
    初始信任
    聲譽系統
    推薦網絡
    collaboration
    collaborative supply chain
    initial trust
    reputation system
    referral networks
    Date: 2007
    Issue Date: 2010-12-08 16:04:48 (UTC+8)
    Abstract: 協同合作(collaboration)是一個以知識為基礎的互動及建構過程,從1990年中葉起在供應鏈中就被廣泛運用在各項議題中。協同供應鏈成員間的關係主要建立在專案上,彼此間可能沒有合作過的經驗,未來也可能沒有再次合作的機會;事實上,選擇值得信任的合作夥伴是協同供應鏈邁向成功的重要步驟。本研究發展了一個選取信任合作夥伴的模式,在於企業發現新的商業機會時,能選擇一個以往沒有合作經驗但具有高度初始信任(initial trust)的候選人。該模式主要採用聲譽系統(reputation system)和推薦網絡(referral networks)來選取最具有良好聲譽的候選人。我們的模式首先是利用推薦網絡蒐尋到與候選人合作過的第三者來取得候選人的主觀及客觀評選資料,接著利用蒐集到的資料計算出初始信任分數最高的候選人作為協同合作夥伴。在實驗中証實本研究確實可以協助企業選取到具有良好特質的候選人,同時本研究也找出了影響實驗結果的關鍵因素及其值。
    Collaboration is an interactive, constructive and knowledge-based process that has been widely discussed since the mid 1990s. Relationships among participants in the collaborative supply chain are based on projects; with participants have neither histories of interaction, nor any plan for future cooperation. However, selecting a right partner is a critical starting point for successful collaboration in supply chain management. This study develops a Reputation-Based Partner Selection Model (RBPS model) for selecting unknown collaborative partners to explore a new business opportunity, ensure that the partners have high levels of initial trust. The proposed model utilizes the referral networks and reputation system to identify the objective and subjective testimonies of partner candidates from third parties who had previously collaborated with the candidates. These information elements are aggregated into an initial-trust score, and the candidate with the highest score is selected to be a collaborative partner. The experiments were designed to test the model that can help the requestor enterprise to select a partner with the highest initial trust among multiple candidates. The results showed that the candidate, with fine temperament in three trust types (as competence, goodwill and predictability), was selected far more often than other competitors after multiple tests of computer simulations. Additionally, the critical factors and values that most affect the results of RBPS model to select the most reputable candidates were identified.
    Reference: AMR. (1998). Are we moving from buyers and sellers to collaborators?. SCM Report, AMR Research, Boston, MA, July.
    AMR. (2000a). The enterprise applications report, 1999-2004. white paper, Market Analysis and Review Series, AMR Research, Boston, MA, September.
    AMR. (2000b). Supply chains strategies outlook: e-business is morphing supply chains, the report on supply chain management. white paper, AMR Research, Boston, MA, June.
    AMR. (2000c). Get your supply chain processes ready for trading exchanges. SCM Report, AMR Research, Boston, MA, June.
    Ba, S. and Pavlon, P. A. (2002). Evidence of the Effective Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior. MIS Quarterly, 26 (3), 243-268.
    Barratt, M. and Oliveira, A. (2001). Exploring the experiences of collaborative planning initiatives. International Journal of Physical distribution and Logistics Management, 31(4), 266-289.
    Bititci, U.S., Martinez, V., Albores, P. and Parung, J. (2004). Creating and managing value in collaborative networks. International Journal of Physical distribution and Logistics Management, 34(3/4), 251-268.
    Camarinha-Matos, L. M. and Afsarmanesh, H. (2003). Elements of a base VE infrastructure. Computers in Industry, 51, 139-163.
    Camarinha-Matos, L. M. and Torre, Q. D. (2004). Collaborative networked organizations: a research agenda for emerging business models. Springer.
    Chan, T.S. and Chan, H.K. (2005). The future trend on system-wide modeling in supply chain studies. The International Journal of Advanced Manufacturing Technology, 25, 820-832.
    Chen, C.T., Lin C.T. and Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289-301.
    Daugherty, P.J., Richey, R. G., Roath, A.S., Min, S., Chen, H., Arndt, A.D., et al. (2006). Is collaboration paying off for firms?. Business Horizons, 49, 61-70.
    Dickson, G.W. (1996). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1), 5-17.
    ECR Europe, (2002). European CPFR insights. retrieved September 8, 2006, from http://www.ecrnet.org/04-publications/blue_books/ - pub_2002_cpfr_european_insights.pdf
    Fischer, M., Jahn, H. and Teich, T. (2004). Optimizing the selection of partners in production networks. Robotics and Computer-Integrated Manufacturing, 20, 593-601.
    Fliedner, G. (2003). CPFR: an emerging supply chain tool. Industrial Management and Data Systems, 103(1), 14-21.
    Folinas, D., Manthou, V., Sigala, M. and Vlachopoulou, M. (2004). E-volution of a supply chain: cases and best practices. Internet Research, 14(4), 274-283.
    Hartono, E. and Holsapple, C. (2004). Theoretical foundations for collaborative commerce research and practice. Information Systems and e-Business Management, 2, 1-30.
    Holsapple, C.W. and Singh, M. (2000). Toward a unified view of electronic commerce, electronic business, and collaborative ecommerce: a knowledge management approach. Knowledge and Process Management, 7(3), 151-164.
    Huxham, C. (1996). Creating collaborative advantage. London: Sage Publications.
    Kalepu, S., Krishnaswamy, S. and Loke, S. W. (2004). Reputation=f(user ranking, compliance, verity), International Conference on Web Services (ICWS 2004), San Diego, California, USA.
    Kanet, J.J., Faisst, W. and Mertens, P. (1999). Application of IT to a virtual enterprise broker: the case of Bill Epstein. International Journal of Production Economics, 62, 23-32.
    Kasper-Fuehrer, E.C., and Ashkanasy, N.M. (2001). Communicating trustworthiness and building trust in interorganizational virtual organizations. Journal of Management, 27, 235-254.
    Koufaris, M. and Hampton-Sosa, W. (2004). The development of initial trust in an online company by new customers. Information and Management, 41, 377-397.
    Ireland, R.K. and Crum, C. (2005). Supply chain collaboration: how to implement CPFR and other best collaborative practices, J.ROSS publishing.
    Jarvenpaa, S.L. and Leidner, D.E. (1998). Communication and trust in global virtual teams. Organization Science, 10, 791-815.
    Jharkharia, S. and Shankar, R. (2007). Selection of logistics service provider: an analytic networks process (ANP) approach. Omage, 35, 274-289.
    Jiao, J., You, X. and Kumar, A. (2006). An agent-based framework for collaborative negotiation in the global manufacturing supply chain network. Robotics and Computer-Integrated Manufacturing, 22, 239-255.
    Josang, A., and Ismail, R. (2002, June). The Beta reputation system, 15th Bled Electronic Commerce Conference, Bled, Slovenia.
    Josang, A. and Pope, S. (2005). Semantic constraints for trust transitivity, Asia-Pacific conference on Conceptual modeling 2005, Australis.
    Josang, A., Ismail, R. and Boyd, C. (2007). A survey of trust and reputation systems for online service provision, Decision Support Systems, 43, 618-644.
    Kwon, I.W. and Suh, G.T. (2004). Factors affecting the level of trust and commitment in supply chain relationships. The Journal of Supply Chain Management, 40(2), 4-14.
    Liu, F.H. and Hai, H. L. (2005). The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics, 97, 308-317.
    Marsh, S. P. (1994). Formalising trust as a computational concept. Unpublished doctoral dissertation, University of Stirling, Scotland UK.
    McCarthy, T. M. and Golicic, S. L. (2002). Implementing collaborative forecasting to improve supply chain performance. International Journal of Physical distribution and Logistics Management, 32(6), 431-454.
    Milgram, S. (1967). The small world problem. Psychology Today, 2, 60-67.
    Mikhailov, L. (2002). Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega, 30, 393-401.
    Mui, L., Mohtashemi, M. and Halberstadt, A. (2002). A computational model of trust and reputation. HICSS-35’02, Hawaii.
    NAICS, (2002). 2002 NAICS Codes and Titles, Retrieve December 20, 2006, from http://www.census.gov/epcd/www/naics.html.
    Noekkentved, C. (2000). Collaborative Process in e-supply networks. European SAP Centre of Expertise, PricewaterhouseCoopers.
    Norman, P. M. (2002). Protecting knowledge in strategic alliances: resource and relational characteristics. Journal of High Technology Management Research, 13(2), 177-202.
    Powell, W. (1987). Hybrid organizational arrangements: new form or transitional development?. California Management Review, 30(1), 67-87.
    Ratnasingam, P. (2001). International trust in business to business e-commerce. Unpublished doctoral dissertation, The ERASMUS University Rotterdam, Rotterdam, Netherland.
    Ratnasingam, P. (2005). Trust in inter-organizational exchanges: a case study in business to business electronic commerce. Decision Support System, 39, 525-544.
    Resnick, P., Seckhauser, R., Friedman, E. and Kuwabara, K. (2000). Reputation systems. Communication of the ACM, 43(12), 45-48.
    Rudberg, M., Klingenberg, N. and Kronhamn, K. (2002). Collaborative supply chain planning using electronic marketplaces. Integrated Manufacturing Systems, 13(8), 596-610.
    Sako, M. and Helper, S. (1998). Determinants of trust in supplier relations: evidence from the automotive industry in Japan and the United States. Journal of Economic Behavior and Organization, 34(3), 387-417.
    Saunders, C., Wu, Y., Li, Y., and Weisfeld, S. (2004). Interorganizational trust in B2B relationships, International Conference on Electronic Commerce 2004, Netherland.
    Seppanen, R., Blomqvist, K. and Sundqvist, S. (2007). Measuring inter-organizational trust – a critical review of the empirical research in 1990-2003, Industrial Marketing Management, 36, 249-265.
    Skjoett-Larsen, T., Thernoe, C. and Andresen, C. (2003). Supply chain collaboration: theoretical perspectives and empirical evidence. International Journal of Physical Distribution and Logistics Management, 33(6), 531-549.
    Tapscott, D., Ticoll, D. and Lowy, A. (2000). Digital capital: harnessing the power of business webs. London: NB Publishing.
    Wu, N. and Su, P. (2005). Selection of partners in virtual enterprise paradigm. Robotics and Computer-Integrated Manufacturing, 21, 119-131.
    Xia, W. and Wu, Z. (2007). Supplier selection with multiple criteria in volume discount environments. Omega, 35, 494-504.
    Yu, B., and Singh, M.P. (2000). A social mechanism of reputation management in electronic communities, CIA 2000, 134-165.
    Yu, B., and Singh, M.P. (2003). Searching social networks, Autonomous Agents and Multiagents System (AAMAS’03), Australia.
    VICS (2002). Global Commerce Initiative Recommend Guideline: Collaborative Planning, Forecasting, and Replenishment. Voluntary Guideline V2.0. retrieve October 12, 2006, from http://www.vics.org/committees/cpfr/voluntary_v2/.
    Description: 博士
    國立政治大學
    資訊管理研究所
    92356506
    96
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0923565061
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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