基于协同网络信息的多指标决策方法研究
|
摘要
在经济全球化和信息网络技术迅猛发展的背景下,组织(企业)内部以及组织之间的协同网络快速发展,并成为一种必然趋势。依托于网络组织开展的合作是优化配置经济资源、科技资源、生产力要素,以及推动知识创新的最有效的方式之一。协同网络运作和管理中存在着大量的决策问题,例如协同网络的构建、协同网络的运营绩效评价等。关于协同网络环境下的决策问题研究被国家自然科学基金委管理科学部列为管理科学与工程学科“十一五”期间(2006-2010年)的重要研究课题。
在协同网络中,由于网络主体之间的密切合作和交互,使得网络主体之间形成了丰富的协同信息。在很多面向协同网络的现实决策问题中,不仅需要使用以往传统决策中使用的关于网络主体个体表现的信息,还需要同时考虑协同主体之间协作表现的协同信息。这种需要同时考虑网络主体的个体信息和协同网络主体间协同信息的决策问题,称为基于协同网络信息的决策问题。该问题具有大量的实际背景,例如新产品研发团队的伙伴选择问题,交叉功能团队的伙伴选择问题等等。目前,协同网络信息在决策问题中的重要性已经引起一些学者的关注,但是,关于如何使用协同网络信息进行决策,并针对决策问题给出科学有效的决策方法的研究很少被发现。因此,对基于协同网络信息的决策问题进行提炼,并给出具有针对性的决策方法,是一个具有重要意义、迫切需要解决的研究课题。
本文对基于协同网络信息的决策问题进行了探讨,针对现有研究的薄弱之处,主要开展了以下创新性工作：
(1)提炼了基于协同网络信息的研究问题,并提出了问题研究的理论框架。由于基于协同网络信息的决策问题具有大量的实际背景,并且对该类问题的研究具有很好的理论意义和实际应用价值,所以针对基于协同网络信息的决策问题进行了提炼,划分为四大类问题：网络主体排序与优选问题、大网络选择子网络的优化决策问题、子群选择的多指标决策问题和网络协同表现评价问题,并进一步分解为若干典型决策问题。在此基础上,为解决基于协同网络信息的决策问题,给出了问题研究的理论框架。主要包括,①针对协同网络、协同网络信息进行了描述和分类；②对基于协同网络信息的决策问题进行了网络结构描述和形式化描述,并给出了一般性的问题结构模型；③给出了进行基于协同网络信息决策问题分析的矩阵模型。这使得基于协同网络信息决策问题的研究形成一个理论体系。同时,为相关问题的研究提供了一般性的理论指导框架和分析框架,并为研究问题的扩展与应用提供了理论基础。
(2)针对网络主体排序与优选问题,提出了基于协同网络信息的团队成员选择的多指标决策方法。具体地,研究了两类典型决策问题,分别提出了：①基于协同网络信息的合作研发联盟成员选择方法；②基于协同网络信息的项目团队成员选择方法。
(3)针对大网络选择子网络的优化决策问题,提出了基于协同网络信息的团队成员选择的多目标决策方法。具体地,按照由简单到复杂的情形研究了三类典型决策问题,分别提出了：①考虑协同信息的团队成员选择方法；②基于协同网络信息的R&D团队成员选择方法；③基于个体与协同信息的交叉功能团队成员选择方法。
(4)针对子群选择的多指标决策问题,提出了基于协同网络信息的优秀团队选择的决策方法。具体地,选择最具代表性的优秀创新研究群体项目选择问题作为典型研究问题,提出了一种基于协同网络信息的创新研究群体项目选择方法。
(5)针对网络协同表现评价问题,提出了基于协同网络信息的团队表现评价方法。具体地,按照由简单到复杂的情形研究了两类典型问题,分别提出了：①新产品研发团队的协作满意度评价方法；②基于信誉与合作的虚拟团队相互信任评价方法。
上述提出的理论与方法不仅能够解决合作研发联盟的伙伴选择、R&D团队成员选择、交叉功能团队成员选择、知识创新团队伙伴选择、优秀创新研究群体选择、虚拟团队相互信任评价、NPD团队协作满意评价等大量实际问题；并可扩展到考虑技术兼容性的技术组合方案选择、考虑部件兼容性的产品配置、基于服务要素的服务设计以及基于组合效用的产品组合方案选择等其他问题。提出的方法对于考虑关联信息的决策问题的研究提供了方法层面的借鉴和指导。
In the background of economic globalization and rapid development of information network technology, the collaboration networks within and among organizations (enterprises) develop rapidly. It becomes an inevitable trend. The cooperation relying on network organizations could achieve the opitimal configuration of science and technology resource, economic rescource and procuctivity factors. It is also one of the most effective means to put forword knowledge innovation. Furthermore, there are a lot of decision problems in the operation and management of collaboration networks, such as the construction and performance assessment of collaborative networks. The decision problem under collaboration network environment has been ranked as one of the most significant research issues by management science department of National Nature Science Foundation of China (NSFC) in the Eleventh Five-Year Plan (2006-2010) for management science and enginnering.
Whithin a collaboration network, abundant collbaborative information produces due to the close interaction and cooperation among agents of the network. In a number of decision problems oriented to collaboration networks, not only the individual information asscociating with the agent of network commonly used in the existing decision-making methods, but also the collaborative information between a pairwise agents of network should be considered. We call this type of decision problem as the one based on collaboration information. It exists extensively in the real wold. Now, a number of schorlars have focused on the decision problem based on individual and collaborative information, namely collaboration network information. However, few studides are conducted to make decision using collaboration network information by scientific and effective decision-making methods. Therefore, it is a significant, necessary and urgent research issue to summarize the problem based on collaboration network information and propose the decision-making methodology according to a particular problem.
The purpose of this thesis is to address the decision problem based on collaboration network information. With regard to the limitations in the existing research, a series of research works are conducted and the contributions are as follows:
First, a new problem is presented and the theoretical framework for the research problem is proposed. The decision problem based on collaboration network information has extensive practical backgrounds. The study of this problem has profound theritical and pratical significanc. Thus, in this thesis, the decision problem with collagoration network information is presented based on the emerging problems. Moreover, the decision problems are divided into four categories, i.e., the problem of ranking and selecting agents of networks, the optimization deicision problem of selecting a sub-netwok from a parent network, the multiple criteria deicision problem of clinique selection, and the problem of performance evaluation of collaboration networks, and then each category problems are subdivided into several typical decision problems. Based on that, to solve the problem based on collaboration network information, the theoretical framework for the research problem is proposed, i.e.,ⅰ) The collaboration network and collaboration information are described and classified.ⅱ) The decision problem based on collaboration network information is described by network graph and is represented in the formalization, and then a structure model is preseted to character the general problem.ⅲ) A matrix model is proposed to analyze the decision problem based on collaboration network information. All of these works make the studies of the addressed problem to be theoretically systemic. Moreover, that provides a general theoretical guidance framework and analytical framework to the related problems and also lays a theoretical foundation to the extended issues and related applications.
Second, with regard to the problem of ranking and selecting agents of networks, the multiple attribute decision making method for team member selection based on collaboration network information is proposed. Concretely, two type classical deicision problems are studied, and then two methods are proposed, i.e.,ⅰ) a method for member selection of codevelopment alliances based on collaboration network information, andⅱ) a method for member selection of program team based on collaboration network information.
Third, with regard to the optimization deicision problem of selecting a sub-netwok from a parent network, the muti-objective decision-making method for team member selection based on collaboration network information is proposed. Concretely, three type problems are studied according to the research thought from the simple problem to the more complicated one, three methods are proposed as follows.ⅰ) A method for team member selection considering collaboration information, ii) A method for team member selection of R&D teams based on collaboration network information, iii) A method for team member selection of cross-funcational teams based on the individual and collaborative information.
Fourth, with regard to the multiple criteria deicision problem of clinique selection, the decision-making method for excellent team selection based on collaboration network information is proposed. Concretely, a most representative problem, namely, the problem of found program selection of excellent innovation research group is studied. Then, a method for foud program selection of excellent innovation research group is proposed.
Fifth, with regard to the problem of performance evaluation of collaboration networks, the method for evaluating team performance based on collaboration network information is proposed. Concretely, two type problems are studied according to the research thought from the simple problem to the more complicated one. Then, two methods are pososed, i.e.,ⅰ) a method for evaluating collaboration satisfaction of NPD teams using mutual-evaluation information, andⅱ) a method for mutual trust evaluation of virtual teams based on reputation and collaboration.
The proposed method can solve many practicle problems. For instance, partner selection for cooperative R&D alliances, member selection for R&D teams, member selection for cross-functional teams, member selection for knowledge innovation teams, scientific fund project selection of innovation research groups, assessment on mutual trust of virtual teams, evaluation on collaborative satisfaction of NPD teams, and so on. The proposed mthods can further extend to solve other problems such as selecting technology combination alternative considering technology compatibility, configuring products considering component compatibility, sevice design based on sevice factors as well as product packge selection based on combinational utility and so on. The proposed methods in this thesis provide guidance and reference in methodology to futher studies on the decision problem with relative information.
在协同网络中,由于网络主体之间的密切合作和交互,使得网络主体之间形成了丰富的协同信息。在很多面向协同网络的现实决策问题中,不仅需要使用以往传统决策中使用的关于网络主体个体表现的信息,还需要同时考虑协同主体之间协作表现的协同信息。这种需要同时考虑网络主体的个体信息和协同网络主体间协同信息的决策问题,称为基于协同网络信息的决策问题。该问题具有大量的实际背景,例如新产品研发团队的伙伴选择问题,交叉功能团队的伙伴选择问题等等。目前,协同网络信息在决策问题中的重要性已经引起一些学者的关注,但是,关于如何使用协同网络信息进行决策,并针对决策问题给出科学有效的决策方法的研究很少被发现。因此,对基于协同网络信息的决策问题进行提炼,并给出具有针对性的决策方法,是一个具有重要意义、迫切需要解决的研究课题。
本文对基于协同网络信息的决策问题进行了探讨,针对现有研究的薄弱之处,主要开展了以下创新性工作：
(1)提炼了基于协同网络信息的研究问题,并提出了问题研究的理论框架。由于基于协同网络信息的决策问题具有大量的实际背景,并且对该类问题的研究具有很好的理论意义和实际应用价值,所以针对基于协同网络信息的决策问题进行了提炼,划分为四大类问题：网络主体排序与优选问题、大网络选择子网络的优化决策问题、子群选择的多指标决策问题和网络协同表现评价问题,并进一步分解为若干典型决策问题。在此基础上,为解决基于协同网络信息的决策问题,给出了问题研究的理论框架。主要包括,①针对协同网络、协同网络信息进行了描述和分类；②对基于协同网络信息的决策问题进行了网络结构描述和形式化描述,并给出了一般性的问题结构模型；③给出了进行基于协同网络信息决策问题分析的矩阵模型。这使得基于协同网络信息决策问题的研究形成一个理论体系。同时,为相关问题的研究提供了一般性的理论指导框架和分析框架,并为研究问题的扩展与应用提供了理论基础。
(2)针对网络主体排序与优选问题,提出了基于协同网络信息的团队成员选择的多指标决策方法。具体地,研究了两类典型决策问题,分别提出了：①基于协同网络信息的合作研发联盟成员选择方法；②基于协同网络信息的项目团队成员选择方法。
(3)针对大网络选择子网络的优化决策问题,提出了基于协同网络信息的团队成员选择的多目标决策方法。具体地,按照由简单到复杂的情形研究了三类典型决策问题,分别提出了：①考虑协同信息的团队成员选择方法；②基于协同网络信息的R&D团队成员选择方法；③基于个体与协同信息的交叉功能团队成员选择方法。
(4)针对子群选择的多指标决策问题,提出了基于协同网络信息的优秀团队选择的决策方法。具体地,选择最具代表性的优秀创新研究群体项目选择问题作为典型研究问题,提出了一种基于协同网络信息的创新研究群体项目选择方法。
(5)针对网络协同表现评价问题,提出了基于协同网络信息的团队表现评价方法。具体地,按照由简单到复杂的情形研究了两类典型问题,分别提出了：①新产品研发团队的协作满意度评价方法；②基于信誉与合作的虚拟团队相互信任评价方法。
上述提出的理论与方法不仅能够解决合作研发联盟的伙伴选择、R&D团队成员选择、交叉功能团队成员选择、知识创新团队伙伴选择、优秀创新研究群体选择、虚拟团队相互信任评价、NPD团队协作满意评价等大量实际问题；并可扩展到考虑技术兼容性的技术组合方案选择、考虑部件兼容性的产品配置、基于服务要素的服务设计以及基于组合效用的产品组合方案选择等其他问题。提出的方法对于考虑关联信息的决策问题的研究提供了方法层面的借鉴和指导。
In the background of economic globalization and rapid development of information network technology, the collaboration networks within and among organizations (enterprises) develop rapidly. It becomes an inevitable trend. The cooperation relying on network organizations could achieve the opitimal configuration of science and technology resource, economic rescource and procuctivity factors. It is also one of the most effective means to put forword knowledge innovation. Furthermore, there are a lot of decision problems in the operation and management of collaboration networks, such as the construction and performance assessment of collaborative networks. The decision problem under collaboration network environment has been ranked as one of the most significant research issues by management science department of National Nature Science Foundation of China (NSFC) in the Eleventh Five-Year Plan (2006-2010) for management science and enginnering.
Whithin a collaboration network, abundant collbaborative information produces due to the close interaction and cooperation among agents of the network. In a number of decision problems oriented to collaboration networks, not only the individual information asscociating with the agent of network commonly used in the existing decision-making methods, but also the collaborative information between a pairwise agents of network should be considered. We call this type of decision problem as the one based on collaboration information. It exists extensively in the real wold. Now, a number of schorlars have focused on the decision problem based on individual and collaborative information, namely collaboration network information. However, few studides are conducted to make decision using collaboration network information by scientific and effective decision-making methods. Therefore, it is a significant, necessary and urgent research issue to summarize the problem based on collaboration network information and propose the decision-making methodology according to a particular problem.
The purpose of this thesis is to address the decision problem based on collaboration network information. With regard to the limitations in the existing research, a series of research works are conducted and the contributions are as follows:
First, a new problem is presented and the theoretical framework for the research problem is proposed. The decision problem based on collaboration network information has extensive practical backgrounds. The study of this problem has profound theritical and pratical significanc. Thus, in this thesis, the decision problem with collagoration network information is presented based on the emerging problems. Moreover, the decision problems are divided into four categories, i.e., the problem of ranking and selecting agents of networks, the optimization deicision problem of selecting a sub-netwok from a parent network, the multiple criteria deicision problem of clinique selection, and the problem of performance evaluation of collaboration networks, and then each category problems are subdivided into several typical decision problems. Based on that, to solve the problem based on collaboration network information, the theoretical framework for the research problem is proposed, i.e.,ⅰ) The collaboration network and collaboration information are described and classified.ⅱ) The decision problem based on collaboration network information is described by network graph and is represented in the formalization, and then a structure model is preseted to character the general problem.ⅲ) A matrix model is proposed to analyze the decision problem based on collaboration network information. All of these works make the studies of the addressed problem to be theoretically systemic. Moreover, that provides a general theoretical guidance framework and analytical framework to the related problems and also lays a theoretical foundation to the extended issues and related applications.
Second, with regard to the problem of ranking and selecting agents of networks, the multiple attribute decision making method for team member selection based on collaboration network information is proposed. Concretely, two type classical deicision problems are studied, and then two methods are proposed, i.e.,ⅰ) a method for member selection of codevelopment alliances based on collaboration network information, andⅱ) a method for member selection of program team based on collaboration network information.
Third, with regard to the optimization deicision problem of selecting a sub-netwok from a parent network, the muti-objective decision-making method for team member selection based on collaboration network information is proposed. Concretely, three type problems are studied according to the research thought from the simple problem to the more complicated one, three methods are proposed as follows.ⅰ) A method for team member selection considering collaboration information, ii) A method for team member selection of R&D teams based on collaboration network information, iii) A method for team member selection of cross-funcational teams based on the individual and collaborative information.
Fourth, with regard to the multiple criteria deicision problem of clinique selection, the decision-making method for excellent team selection based on collaboration network information is proposed. Concretely, a most representative problem, namely, the problem of found program selection of excellent innovation research group is studied. Then, a method for foud program selection of excellent innovation research group is proposed.
Fifth, with regard to the problem of performance evaluation of collaboration networks, the method for evaluating team performance based on collaboration network information is proposed. Concretely, two type problems are studied according to the research thought from the simple problem to the more complicated one. Then, two methods are pososed, i.e.,ⅰ) a method for evaluating collaboration satisfaction of NPD teams using mutual-evaluation information, andⅱ) a method for mutual trust evaluation of virtual teams based on reputation and collaboration.
The proposed method can solve many practicle problems. For instance, partner selection for cooperative R&D alliances, member selection for R&D teams, member selection for cross-functional teams, member selection for knowledge innovation teams, scientific fund project selection of innovation research groups, assessment on mutual trust of virtual teams, evaluation on collaborative satisfaction of NPD teams, and so on. The proposed mthods can further extend to solve other problems such as selecting technology combination alternative considering technology compatibility, configuring products considering component compatibility, sevice design based on sevice factors as well as product packge selection based on combinational utility and so on. The proposed methods in this thesis provide guidance and reference in methodology to futher studies on the decision problem with relative information.
引文
[1]李培林,梁栋.网络化：企业组织变化的新趋势[J].社会学研究,2003,18(2)：43-53.
[2]F.赫塞尔本等.未来的组织[M].成都：四川人民出版社,2000年.
[3]洪军.网络组织动态博弈分析与复杂性定性仿真研究[D].南京：东南大学,博士学位论文,2005.
[4]张爱玲.企业进入战略联盟时代[J].中外管理.1999,(2)：25-26.
[5]Roberts E B. Benchmarking the strategic management of technology [J]. Research Technology Management,1995,38(1):44-56.
[6]Turpin T, Garret, S. Bricoleurs and boundary riders:managing basic research and innovation knowledge networks [J]. R&D Management,1996,26(3):267-82.
[7]Ryeroft W R, Kash D E. Steering complex innovation [J]. Research Technology Management,2000,43(3):18-23.
[8]鲁若愚.企业大学合作创新机理研究[D].北京：清华大学,博士学位论文,2002年.
[9]国家自然科学基金委管理科学部管理科学“十五”优先资助领域论证报告[EB/OL],2001-6-1. http://www.amss.ac.cn/managesci/glkx-105content/glkx-105-p3-1-2. html.
[10]Camarinha-Matos L M, Afsarmanesh H. Collaborative networks:A new scientific discipline [J]. Journal of Intelligent Manufacturing,2005,16(4-5):439-452.
[11]胡荣昌；钱铭为.发展战略联盟打造企业竞争优势[J].企业研究,2006,(9)：46-47.
[12]Lewis D J. Partnership for Profit:Structuring and Managing Strategic Alliances [M]. New York:The Free Press,1990.
[13]Parker H. Inter-firm collaboration and the new product development process [J]. Industrial Management & Data Systems,2000,100(6):255-60.
[14]Horvath L. Collaboration:the key to value creation in supply chain management [J]. Supply Chain Management:An International Journal,2001,6(5):205-7.
[15]McLaren T, Head M, Yuan Y. Supply chain collaboration alternatives:understanding the expected cost and benefits [J]. Internet Research:Electronic Networking Applications and Policy,2000,12(4):348-64.
[16]McCarthy, T M, Golicic S L. Implementing collaborative forecasting to improve supply chain performance [J]. International Journal of Physical Distribution & Logistic Management,2002,32(6):431-54.
[17]Holton J A. Building trust and collaboration in a virtual team [J]. Team Performance Management:An International Journal,2001,7(3-4):36-47.
[18]Emden Z, Calantone R J, Droge C. Collaborating for new product development:Selecting the partner with maximum potential to create value [J]. The Journal of Product Innovation Management,2006,23:330-341.
[19]赵昌平,王方华,葛卫华.战略联盟的负效应及其启示[J].上海管理科学,2002,20(3)：16-18.
[20]Hajidimitriou Y A, Georgiou A C. A goal programming model for partner selection decisions in international joint ventures [J]. European Journal of Operational Research,2002,138:649-662.
[21]Chen S J, Lin L. Modeling team member characteristics for the formation of a multifunctional team in concurrent engineering [J]. IEEE Transactions on Engineering Management,2004,51(2):111-124.
[22]Kaihara T, Fujii S. Game theoretic enterprise management in industrial collaborative networks with multi-agent systems [J]. International Journal of Product Research,2008, 46(5):1297-1313.
[23]Huang C Y, Huang C C, Liu C Y. Order confirmation mechanism for collaborative production networks [J]. International Journal of Product Research,2008,46(3):595-620.
[24]Gulati R. Alliances and networks [J]. Strategic Management Journal,1998,19:293-317.
[25]Afsarmanesh H, Belleman R G, Belloum A S Z, Benabdelkader A, van den Brand J F J, Eijkel G B, Frenkel A, Garita C, Groep D L, Heeren R M A, Hendrikse Z W, Hertzberger L O, Kaandorp J A, Kaletas E C, Korkhov V, de Laat C T A M, Sloot P M. A, Vasunin D, Visser A, Yakali H H. VLAM-G:A gridbased virtual laboratory scientific programming [J]. Journal Scientific Programming,2002,10 (2):173-181.
[26]Freeman C. Networks of innovators:A synthesis of research issues [J]. Research Policy, 1991,20 (5):499-514.
[27]Powell W W, Koput K W, Smith-Doerr L. Inter-organizational collaboration and the locus of innovation:Networks of learning in biotechnology [J]. Administration Science Quarter, 1996,41:116-145.
[28]Grandstand O, Sjolander S. Managing innovation in multitechnology corporations [J]. Research Policy,1990,19:35-60.
[29]Burt R S. Structural Holes:The Social Structure of Competition [M]. Cambridge:Harvard University Press,1992.
[30]Gulati R. Social structure and alliance formation patterns:A longitudinal analysis [J]. Administration Science Quarter,1995,40:619-652.
[31]Watts A. A dynamic model of network formation [J]. Games Econom Behavior,2001,34: 331-341.
[32]Ahuja G Collaboration networks, structural holes and innovation:A longitudinal study [J]. Administrative Science Quarterly,2000,45:425-455.
[33]Alstyne M V, Brynjolfsson E. Widening access and narrowing focus:Could the Internet balkanize science? [J]. Science,1996,271:1479-480.
[34]Guimera R, Uzzi B, Spiro J, Nunes-Amaral L A. Team assembly mechanisms determine collaboration network structure and team performance [J]. Science,2005,308:697-702.
[35]Grant R M. Towards a knowledge-based theory of the firm [J]. Strategic Management Journal,1996,17:109-122.
[36]Cachon G P. Stock wars:inventory competition in a two-echelon supply chain with multiple retailers [J]. Operations Research,2001,49:658-674.
[37]Corbett C J. Stochastic inventory systems in a supply chain with asymmetric information: Cycle stocks, safety stocks, and consignment stock [J]. Operations Research,2001,49: 487-500.
[38]Chen Z L, Hall N G Supply chain scheduling:Conflict and cooperation in assembly systems [J]. Operations Research,2007,55:1072-1089.
[39]Graves S C, Willems S P. Optimizing the supply chain configuration for new products [J]. Management Science,2005,51:1165-1180.
[40]Cachon G P, Lariviere M A. Contracting to assure supply:how to share demand forecasts in a supply chain [J]. Management Science,2001,47:629-646.
[41]Cachon G P, Lariviere M A. Supply chain coordination with revenue-sharing contracts: strengths and limitations [J]. Management Science,2005,51:30-44.
[42]Sinha D, Cusumano M. Complementary resources and cooperative research:A model of research joint ventures among competition [J]. Strategic Science,1991,37(9):1091-1106.
[43]Hart O, Moore J. Property rights and the nature of the firm [J]. Journal of Political Economy, 1990,98:1119-1158.
[44]Harrigan, K. P. Joint ventures and competitive strategy [J]. Strategic Management Journal, 1988,9(2):141-158.
[45]Stuart T E. Interorganizational alliances and the performance of firms:A study of growth and innovation rates in a high-technology industry [J]. Strategic Management Journal,2000, 21(4):791-811.
[46]Hagedoorn G, Duysters J. External source of innovation capabilities:the perference for strategic alliance or mergers and acquisition [J]. Journal of Management Studies,2002, 39(2):167-188.
[47]Littler D, Leverick F, Bruce M. Factors affecting the process of collaborative product development:A study of UK manufacturers of information and communications technology products [J]. Journal of Product Innovation Management,1995,12(1):16-33.
[48]Chesbrough H W. Open Innovation:The New Imperative for Creating and Profiting from Technology [M]. Boston:Harvard Business School Press,2003.
[49]Bronder C, Pritzl R. Developing strategic alliances:A conceptual framework for successful co-operation [J]. European Management Journal,1992,10(4):412-422.
[50]Deck M, Strom M. Model of co-development emerges [J]. Research Technology Management,2002,45(3):47-54.
[51]Mohr J, Spekman R. Characteristics of partnership success:partnership attributes, communication behavior, and conflict resolution techniques [J]. Strategic Management Journal,1994,15(2):135-52.
[52]Hitt M A M, Dacin T, Levitas E, Arregle, J L, Borza A. Partner selection in emerging and developed market contexts:Resource-based and organizational learning perspectives [J]. Academy of Management Journal,2000,43(3):449-67.
[53]Geringer J M. Strategic determinants of partner selection criteria in international joint ventures [J]. Journal of International Business Studies,1991,22(1):41-62.
[54]Bucklin L P, Sengupta S. Organizing successful co-marketing alliances [J]. Journal of Marketing,1993,57(2):32-46.
[55]Banker R D, KaufFmann J R. The evolution of research on information systems:A fiftieth-year surveyof the literature in management science [J]. Management Science,2004, 50(3):281-298.
[56]Ghoshals H, Korine G S. Interunit communication in multinational corporations [J]. Management Science,1994,40:96-110.
[57]Szulanski G. Exploring internal stickiness:Impediments to the transfer of best practice with the firml [J]. Strategic Management Journal,1996,17:27-43.
[58]Uzzi B. The sources and consequences of embeddness for the economic performance of organizations:The network effect [J]. American Sociological Review,1996,61:674-678.
[59]Uzzi B. Social structure and competitive in the inter-firm network:The paradox of embeddness [J]. Administrative Science Quarterly,1997,42:35-67.
[60]Stuart T E. Network positions and propensities to ollaborate:an investigation of strategic alliance formation in a high-technology industry [J]. Administrative Science Quarterly,1998, 43:668-698.
[61]Luo Y D. Antecedents and consequences of personal attachment in cross-cultural cooperative ventures [J]. Administrative Science Quarterly,2001,46 (2):17-25.
[62]Griffin A, Hauser J R. Patterns of communication among marketing, engineering, and manufacturing:A comparison between two product teams [J], Management Science,1992, 38 (3),360-373.
[63]徐和平,孙林岩,慕继丰.产品创新网络中的信任与信任机制探讨[J].管理工程学报,2004,(2)：55-59.
[64]Verma R, Pullman M E. An analysis of the supplier selection process [J]. Omega,1998, 26(6):739-750.
[65]Geringer J M. Joint venture partner selection:Strategies for developed countries [M]. Quorum Books, Westport,1988.
[66]Vonderembse M A, Tracey M. The impact of supplier selection criteria and supplier involvement on manufacturing performance [J]. Journal of Supply Chain Management,1999, 35 (3):33-39.
[67]Mikhailov L. Fuzzy analytical approach to partnership selection in formation of virtual enterprises [J]. Omega,2002,30(5):393-401.
[68]Hajidimitriou Y A, Georgiou A C. A goal programming model for partner selection decisions in international joint ventures [J]. European Journal of Operational Research,2002,138 (3): 649-662.
[69]Huang X G, Wong Y S, Wang J G A two-stage manufacturing partner selection framework for virtual enterprises [J]. International Journal of Computer Integrated Manufacturing,2004, 7(4):294-304.
[70]Fischer M, Jahn H, Teich T. Optimizing the selection of partners in production networks [J]. Robotics and Computer-Integrated Manufacturing,2004 20(6):593-601.
[71]Ding J F, Liang G S. Using fuzzy MCDM to select partners of strategic alliances for liner shipping [J]. Information Sciences,2005,173:197-225.
[72]Amid, A, Ghodsypour, S H, Brien, C O. Fuzzy multiobjective linear model for supplier selection in a supply chain [J]. International Journal of Production Economics,2006,104(2), 394-407.
[73]Chang S L, Wang R C, Wang S Y. Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle [J]. International Journal of Production Economics,2006,100(2):348-359.
[74]Wang T C, Chen Y H. Applying consistent fuzzy preference relations to partnership selection [J]. Omega,2007,35:384-388.
[75]Zeng Z B, Li Y, Zhu W X. Partner selection with a due date constraint in virtual enterprises
[J]. Applied Mathematics and Computation,2006,175(2):1353-1365.
[76]Saen R F. Suppliers selection in the presence of both cardinal and ordinal data [J]. European Journal of Operational Research,2007,183(2):741-747.
[77]Biiyiikozkan G, Feyzioglu O, Nebol E. Selection of the strategic alliance partner in logistics value chain [J]. International Journal of Production Economics,2007,113(1):148-158.
[78]Araz C, Ozkarahan I. Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure [J]. International Journal of Production Economics,2007,106(2):585-606.
[79]Dickson C W. An analysis of vender selection systems and decision [J]. Journal of Purchasing,1966,2(1):5-7.
[80]Weber C A, Current J R, Benton W C. Vendor selection criteria and methods [J]. European Journal of Operational Research,1991,50:2-18.
[81]Quelin B. Core competencies, R&D management and partnerships [J]. European Management Journal,2000,18:476-487.
[82]Raiden A B, Dainty A R J, Neale R H. Current barriers and possible solutions to effective project team formation and deployment within a large construction organization [J]. International Journal of Project Management,2004,22:309-316.
[83]Zakarian A, Kusiak A. Forming teams:an analytical approach [J]. IIE Transactions,1999,31: 85-97.
[84]Wang Z, Yan H S, Ma X D. A quantitative Approach to the organisation of cross-functional teams in concurrent engineering [J]. International Journal of Advanced Manufacturing Technology,2003,21:879-888.
[85]Chung W Y, Guinan P J. Effects of participative management. Proceeding of the 1994 ACM SIGCPR Conference [C], Alexandria, Virginia,1994, pp.252-260.
[86]Haque B, Pawar K S, Barson R J. Analysing organizational issues in concurrent new product development [J]. International Journal of Production Economics,2000,67:169-182.
[87]Fitzpatrick E L, Askin R G. Forming effective worker teams with multi-functional skill requirements [J]. Computers & Industrial Engineering,2005,48(3):593-608.
[88]Talluri S, Baker R C. Quantitative framework for designing efficient business process alliance [C]. Proceeding of International Conference on Engineering and Technology Management, Piscataway, Piscataway,1996, pp.656-661.
[89]叶飞.信息不完全条件下虚拟企业合作伙伴选择的多维决策模型[J].工业工程与管理,2004,9(5)：38-41.
[90]Wang D, Yung K L, Ip W H. A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment [J]. IEEE Transactions on Systems, Man and Cybernetics —Part C:Applications and Reviews,2001,31(2):189-198.
[91]Ip W H, Huang M, Yung K L, Wang D. Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise [J]. Computers and Operations Research,2003,30: 213-231.
[92]Chen H H, Lee A H I, Tong Y. Prioritization and operations NPD mix in a network with strategic partners under uncertainty [J]. Expert Systems with Applications,2007,33: 337-346.
[93]Roodhooft F, Konings J. Vendor selection and evaluation:An activity based on costing approach [J]. European Journal of Operational Research,1996,96:97-102.
[94]孙利辉,徐寅峰,高山行.非对称研究合作组织合作伙伴选择[J].系统工程理论与实践,2003,23(2)：40-44.
[95]陈菊红,汪应洛,孙林岩.虚拟企业伙伴选择过程及方法研究[J].系统工程理论与实践,2001,21(7)：48-53.
[96]于吉祥,崔文田.团队成员选择的模型及算法[J].运筹与管理,2005,14(1)：128-132.
[97]Cowan R, Jonard N, Zimmermann, J B. Bilateral Collaboration and the Emergence of Innovation Networks [J]. Management Science,2007,53(7):1051-1067.
[98]Dacin T, Hitt M A, Levitas E. Selecting partners for successful international alliances: Examination of U.S. and Korean firms [J]. Journal of World Business,1997,32(1),3-16.
[99]Perks H. Marketing information exchange mechanisms in collaborative new product development [J]. Industrial Marketing Management,2000,29(2):179-89.
[100]Li D F, Yang J B. Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments [J]. Information Sciences,2004,158:263-275.
[101]Chen S M. A New Method for evaluating weapon systems using fuzzy set theory [J]. IEEE Transactions on Systems, Man and Cybernetics,1996,26(4):493-497.
[102]Lin C J, Wu W W. A causal analytical method for group decision-making under fuzzy environment [J]. Expert Systems with Applications,2008,34(1):205-213.
[103]Laarhoven P J M, van Pedrycz W. A fuzzy extension of Saaty's priority theory [J]. Fuzzy Sets and Systems,1983,11(1-3):229-241.
[104]Opricovic S, Tzeng G H. Defuzzification within a multicriteria decision model [J]. Journal of Uncertainty. Fuzziness and Knowledge based Systems,2003,11(5):635-652.
[105]Snedaker S, Hoenig N. How to Cheat at IT Project Management [M], IEEE press,2005, pp. 309-333. Available through:http://www.sciencedirect.com
[106]Tseng T L, Huang C C, Chu H W, Gung R R. Novel approach to multi-functional project team formation [J]. International Journal of Project Management,2004,22(2):147-159.
[107]Kaufmann A, Gupta M M. Introduction to Fuzzy Arithmetic—Theory and Applications [M], New York:Thomson Computer Press,1991.
[108]Zadeh LA. Fuzzy sets [J], Information and Control 1965,8:338-353.
[109]Zadeh L A. The concept of a linguistic variable and its application to approximate reasoning (Part Ⅱ)[J], Information Science,1975,8(4):301-357.
[110]Zimmermann H J. Fuzzy Set Theory and its Applications [M],2nd edn., Boston/Dordrecht/ London:Kluwer Academic Publishers,1991.
[111]Bonissone P P, Decker K S. Selecting uncertainty calculi and granularity:An experiment in trading-off precision and complexity [C], Uncertainty in Artificial Intelligence, Kanal, L.H. and Lemmer, J.F. Eds. Amsterdam, TheNetherlands:North-Holland,1986,217-247.
[112]Herrera F, Herrera-Viedma E, Verdegay J L. A sequential selection process in group decision making with linguistic assessment [J]. Information Sciences,1995,85:223-239.
[113]Jiang Y P, Fan Z P, Ma J. A method for group decision making with multi-granularity linguistic assessment information [J]. Information Sciences,2008,178(4):1098-1109.
[114]Kuo C C, Glover F, Dhir K S. Analyzing and modeling the maximum diversity problem by zero-one programming [J]. Decision Sciences,1993,24(6):1171-1185.
[115]Gallego M, Duarte A, Laguna M, Marti R. Hybrid Heuristics for the Maximum Diversity Problem [R]. Available through http://leeds-faculty.colorado.edu/Laguna/articles/hhmdp. pdf,2007.
[116]Glover F. Improved linear integer programming formulations of nonlinear integer problem [J]. Management Science,1975,22(4):455-460.
[117]Ghosh J B. Computational aspects of the maximum diversity problem [J]. Operations Research Letters,1996,19(4):175-181.
[118]Liberatore M J, Stylianou A C. Expert support systems for new product development decision-making:a modeling framework and applications [J]. Management Science,1995, 41:1296-1316.
[119]Baker N, Freeland J. Recent advances in R&D benefit measurement and project selection methods [J]. Management Science,1975,21:1164-1175.
[120]Griffin A. PDMA research on new product development practices:updating trends and benchmarking best practices [J]. Journal of Product Innovation Management,1997,14: 429-458.
[121]Engelen V J M L, Kiewiet D J, Terlouw P. Improving performance of product development teams through managing polarity [J]. International Studies of Management and Organization,2001,31:46-63.
[122]Gallstedt M. Working conditions in projects perceptions of stress and motivation among project team members and project manager [J]. International Journal of Project Management,2003,21:449-455.
[123]Akgun E A, Byrne J C, Lynn G S, Keskin H. Team stressors, management support, and project and process outcomes in new product development projects [J]. Technovation,2007, 27:628-639.
[124]Levi D, Slem C. Team work in research and development organizations:the characteristics of successful teams [J]. International Journal of Industrial Ergonomics,1995,16:29-42
[125]Chen W T, Chen T T. Critical success factors for construction partnering in Taiwan [J]. International Journal of Project Management,2007,25:475-484.
[126]Barczak G, Wilemon D. Team member experiences in new product development views from the trenches [J]. R&D Management,2003,33:463-479.
[127]Hoegl M, Proserpio L. Team member proximity and teamwork in innovative projects [J]. Research Policy,2004,33:1153-1165.
[128]Boies K M, Howell J M. Leader-member exchange in teams:An examination of the interaction between relationship differentiation and mean LMX in explaining team-level outcomes [J]. The Leadership Quarterly,2006,17:246-257.
[129]Lewis R. Membership and management of a virtual team:the perspectives of a research manager [J]. R&D Management,1998,28:5-12.
[130]Schilling M A, Phelps C C. Interfirm collaboration networks:the impact of large-scale Network structure on firm innovation [J]. Management Science,2007,53:1113-1126.
[131]Balakrishnan S, Koza M P. Information asymmetry, adverse selection and joint ventures [J]. Journal of Economic Behavior and Organization,1993,20:99-117.
[132]Chen Y L, Cheng L C, Chuang C N. A group recommendation system with consideration of interactions among group members [J]. Expert Systems with Applications,2008,34: 2082-2090.
[133]Chen H H, Lee A H I, Tong Y. Prioritization and operations NPD mix in a network with strategic partners under uncertainty [J]. Expert Systems with Applications,2007,33: 337-346.
[134]Sha D Y, Che Z H. Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system [J]. International Journal of Advanced Manufacturing Technology,2005,25:793-802.
[135]Chen I J, Paulraj A. Understanding supply chain management:critical research and a theoretical framework [J]. International Journal of Production Research,2004,42:131-163.
[136]Saaty T L. The Analytic Hierarchy Process [M], New York, McGraw Hill Company,1980.
[137]Hwang C L, Yoon K. Multiple attributes Decision Making:Methods and Applications [M], Berlin:Springer,1981.
[138]Nosratinia A, Hunter T E. Grouping and partner selection in cooperative wireless networks [J]. IEEE Journal on Selected Areas in Communications,2007,25:369-378.
[139]Gupta R K, Shishodia S, Sekhon G S. Optimization of grinding process parameters using enumeration method [J]. Journal of Materials Processing Technology,2001,112:63-67.
[140]Holland J H. Adaptation in Natural and Artificial Systems [M], Michigan:University of Michigan Press,1975.
[141]Gen M, Cheng R. Genetic Algorithm and Engineering Design [M], New York:John Wiley & Sons,1997.
[142]Michalewicz Z. Genetic Algorithm+Data Structure=Evolution Programs [M],3rd edition. New York:Springer-Verlag,1996.
[143]Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ [J]. IEEE Transactions on Evolutionary Computation,2002,6: 182-197.
[144]Yen G, Lu H. Dynamic multiobjective evolutionary algorithm:Adaptive cell-based rank and density estimation. IEEE Transactions on Evolutionary Computation,2003,7(3):253-274.
[145]Zitzler E, Thiele L. Multi-Objective evolutionary algorithms:A comparative case study and the strength Pareto approach [J]. IEEE Transactions on Evolutionary Computation,1999, 3(4):257-271.
[146]Lan T, Liu S R, Gu X S. Approaches of evolutionary multiobjective optimization [J]. Control and Dicesion,2006,21(6):601-605.
[147]周明,孙树栋.遗传算法原理及应用[M],北京：国防工业出版社,1999.
[148]Keller R T. Cross-functional project groups in research and new product development: Diversity, communications, job stress, and outcomes [J]. The Academy of Management Journal,2001,44:547-555.
[149]Lawrence P, Lorsch J. Differentiation and integration in complex organizations [J]. Administrative Science Quarterly,1967,12(1):1-47.
[150]Holland S, Gsaton K. Gomes J. Critical success factors for cross-functional teamwork in new product development [J]. International Journal of Management Reviews,2000,2(3): 231-259.
[151]Ford R C, Randolph W A. Cross-functional structures:A review and integration of matrix organization and project management [J]. Journal of Management,1992,18:267-294.
[152]Ancona D G Outward bound:Strategies for team survival in an organization [J]. The Academy of Management Journal,1990,33:334-365.
[153]Hitt M A, Hoskisson R E, Nixon R D. A mid-range theory of interfunctional integration, its antecedents, and outcomes [J]. Journal of Engineering and Technology Management,1993, 10:161-185.
[154]Hacklin F, Marxt C, Fahrni F. Strategic venture partner selection for collaborative innovation in production systems:A decision support system-based approach [J]. International Journal of Production Economics,2006,104:100-112.
[155]Nof S Y. Next generation of production research:Wisdom, collaboration, and society [J]. International Journal of Production Economics,2008,60-61:29-34.
[156]Msanjila S S, Afsarmanesh H. Trust analysis and assessment in virtual organization breeding environments [J]. International Journal of Product Research,2008,46(5): 1253-1295.
[157]Gloor P A, Paasivaara M, Schoder D, Willems P. Finding collaborative innovation networks through correlating performance with social network structure [J]. International Journal of Product Research,2008,46(5):1357-1371.
[158]Mansouri S A. A multi-objective genetic algorithm for mixed-model sequencing on JIT assembly lines [J]. European Journal of Operational Research,2005,167(3):696-716.
[159]Lee L H, Lee C U, Tan Y P. A multi-objective genetic algorithm for robust flight scheduling using simulation [J]. European Journal of Operational Research,2007,177(3):1948-1968.
[160]创新研究群体科学基金[EB/OL]. http://www.nsfc.gov.cn/nsfc/cen/xmzn/2008xmzn /05rc/05.htm.
[161]杨烈勋.研究与开发项目评估及应用[M],北京：科学出版社,2002.
[162]王凭慧.科学研究项目评估方法综述[J],科研管理,1999,20(3)：18-24.
[163]肖人毅,王长锐.科研基金项目立项评估方法的研究与改进[J],系统工程理论与实践,2004,24(5)：66-71.
[164]Martino J P. Research and Development Project Selection [M]. New York:Wiley-Interscience/Wiley,1995.
[165]Tian Q, Ma J, Liu O. A hybrid knowledge and model system for R&D project selection [J]. Expert Systems with Applications,2002,23(3):265-271.
[166]Henriksen A D Traynor A J. A practical R&D project-selection scoring tool [J]. IEEE Transactions on Engineering Management,1999,46(2):158-170.
[167]Wang K M, Wang C K, Hu C. Analytic hierarchy process with fuzzy scoring in evaluating multidisciplinary R&D projects in China [J]. IEEE Transaxtions on Engineering Management,2005,52(1):119-129.
[168]Sun Y H, Ma J, Fan Z P, Wang J. A group decision support approach to evaluate experts for R&D project selection [J]. IEEE Transaxtions on Engineering Management,2008,55(1): 158-170.
[169]Turban E, Zhou D, Ma J. A group decision support approach to evaluating journals [J]. Information & Management,2004,42(1):31-44.
[170]Saaty T L, Hu G Ranking by eigenvector versus other methods in the analytic hierarchy process [J]. Applied Mathematics Letters,1998,11(4):121-125, July.
[171]Xu Z. On consistency of the weighted geometric mean complex judgement matrix in AHP [J]. European Journal of Operational Research,2000,126(3):683-687.
[172]Aczel J, Saaty T L. Procedures for synthesizing ratio judgments [J]. Journal of Mathematical Psychology,1983,27(1):93-102.
[173]Benjamin C O, Ehie L C, Omurtag Y. Planning facilities at the University of Missouri-Rolla [J]. Interface,1992,22(4):95-105.
[174]Saaty T L, Kearns K, P., Analytical Planning:The Organization of Systems [M]. Oxford: Pergamon Press,1985.
[175]Willet K, Sharda R. Using the analytic hierarchy process in water resources planning: Selection of food control projects [J]. Socio Economic Planning Sciences,1991, (2): 103-112.
[176]Escobar M T, Aguaron J, Moreno-Jimenez J M. A note on AHP group consistency for the row geometric mean priorization procedure [J]. European Journal of Operational Research, 2004,153(2):318-322.
[177]Expert Choice, Inc., Expert Choice software and manual.4922 Elsworth Avenue, Pittsburgh, PA 15213, USA.
[178]Saaty T L, Vargas L G. Prediction, Projection and Forecasting [J]. Dordrecht:Kluwer Academic Publishers,1991.
[179]徐久龄,马波.科学进程中的合作研究[J].情报理论与实践,2006,29(3)：277-280.
[180]Kahraman C, BUytlkozkan G, Ates N Y. A two phase multi-attribute decision-making approach for new product introduction [J]. Information Sciences,2007,177:1567-1582.
[181]Galbraith J. Designing Complex Organizations [M]. Massachusetts:Addison-Wesley,1973.
[182]Reilly R R, Lynn G S, Aronson Z H. The role of personality in new product development team performance [J]. Journal of Engineering and Technology Management,2002,19: 39-58.
[183]Appleyard M M. The influence of knowledge accumulation on buyer-supplier codevelopment projects [J]. Journal of Product Innovation Management,2003.20(5): 356-73.
[184]Hagedoorn J. Inter-firm R&D partnerships:an overview of major trends and patterns since 1960 [J]. Research Policy,2002,31(4):477-92.
[185]Hummel J M, Van Rossum W, Verkerke G J, Rakhorst G The effects of team expert choice on group decision-making in collaborative new product development:a pilot study [J]. Journal of Multicriteria Decision Analysis,2000,9(1-3):90-8.
[186]Kreiner K, Schultz M. Informal collaboration in R&D:the formation of networks across organizations [J]. Organization Studies,1993,14(2):189-209.
[187]Scott S G Social identification effects in product and process development teams [J]. Journal of Engineering and Technology Management,1997,14:97-127.
[188]Mohr A T, Puck J F. Role conflict, general manager job satisfaction and stress and the performance of IJVs [J]. European Management Journal,2007,25(1):25-35.
[189]Akgun A E, Lynn G S. Antecedents and consequences of team stability on new product development performance [J]. Journal of Engineering and Technology Management,2002, 19:263-286.
[190]Carbonell P, Rodriguez A I. Designing teams for speedy product development:The moderating effect of technological complexity [J]. Journal of Business Research,2006,59: 225-232.
[191]Hoppock R. Job satisfaction [J]. New York:Harper & Brother,1935.
[192]Glisson C V, Durick M. Predictors of job satisfaction and organizational commitment in human service organizations [J]. Administrative Quarterly 1988,33(1):61-68.
[193]Lang J R, Johnson N B. Job satisfaction and firm size:an interactionist perspective [J]. The Journal of Socio-Economics,1994,23:405-423.
[194]Theodossiou I, Vasileiouc E. Making the risk of job loss a way of life:does it affect job satisfaction? [J]. Research in Economics,2007,61(2):71-83.
[195]Tsai P C F, Yen Y F, Huang L C, Huang I C. A study on motivating employees' learning commitment in the post-downsizing era:job satisfaction perspective [J]. Journal of World Business,2007,42(2):157-169.
[196]Anderson R E. Consumer Satisfaction:The effect of disconfirmed expectancy on perceived product performance [J]. Journal of Marketing Research,1973,10:38-44.
[197]LaBarbera P A, Mazursky D. A longitudinal assessment of consumer satisfaction/ dissatisfaction:the dynamic aspect of the cognitive process [J]. Journal of Marketing Research,1983,20(4):393-404.
[198]Mihelis G, Grigoroudis E, Siskos Y, Politis Y, Malandrakis Y. Customer satisfaction measurement in the private bank sector [J]. European Journal of Operational Research, 2001,130(2):347-360.
[199]Ramasubbu N, Mithas S, Krishnan M S. High tech, high touch:the effect of employee skills and customer heterogeneity on customer satisfaction with enterprise system support services [J]. Decision Support Systems, In Press,2007.
[200]He Y Q, Chan L K, Wu M L. Balancing productivity and consumer satisfaction for profitability:Statistical and fuzzy regression analysis [J]. European Journal of Operational Research,2007,176(1):252-263.
[201]Chen L D, Soliman K S, Mao E, Frolick M N. Measuring user satisfaction with data warehouses:an exploratory study [J]. Information & Management,2000,37(3):103-110.
[202]Zviran M, Glezer C, Avni I. User satisfaction from commercial web sites:the effect of design and use [J]. Information & Management,2006,43(2):157-178.
[203]Ong C S, Lai J Y. Measuring user satisfaction with knowledge management systems:scale development, purification, and initial test [J]. Computers in Human Behavior,2007,23(3): 1329-1346.
[204]Fan Z P, Li Z J, Sun Y H. A fuzzy evaluation method for the user satisfaction degree with knowledge management system [J]. Intelligent Information Management Systems and Technologies,2005,1(1):21-27.
[205]Jeong M, Oh H. Quality function deployment:An extended framework for service quality and customer satisfaction in the hospitality industry [J]. International Journal of Hospitality Management,1998,17(4):375-390.
[206]de los Cobos J P, Sinol N, Trujols J, et al. Association of CYP2D6 ultrarapid metabolizer enotype with deficient patient satisfaction regarding methadone maintenance treatment [J]. Drug and Alcohol Dependence,2007,89(1):190-194.
[207]Dusheiko M, Gravelle H, Yu N, Campbell S. The impact of budgets for gatekeeping physicians on patient satisfaction:Evidence from fundholding [J]. Journal of Health Economics,2007,26(4):742-762.
[208]Schul L K, Little T E, Pride W M. Channel climate:its impact on channel member's satisfaction [J]. Journal of Retailing,1985,61(2):9-38.
[209]Xie M, Tan K C, Goh T N. Advanced QFD Applications [M]. Milwaukee:ASQ Quality Press,2003.
[210]Yeh D Y, Cheng C H, Chi M L. A modified two-tuple FLC model for evaluating the performance of SCM:By the six sigma DMAIC process [J]. Applied Soft Computing,2007, 7:1027-1034.
[211]Martinez L, Liu J, Ruan D, Yang J B. Dealing with heterogeneous information in engineering evaluation processes [J]. Information Sciences,2007,177:1533-1542.
[212]Delgado M, Verdegay J L, Vila M A. On aggregation operations of linguistic labels [J]. International Journal of Intelligently System,1993,8:351-370.
[213]Oliver R L. A cognitive model of the antecedents and consequences of satisfaction decisions [J]. Journal of Market Research,1980,17:460-9.
[214]Haken H. Advanced Synergetics:Instability Hierarchies of Self-Organizing Systems and Devices [M]. Berlin:Springer,1983.
[215]Coldrick S, Longhurst P, Ivey P, Hannis J. An R&D options selection model for investment decisions [J]. Technovation,2005,25:185-193.
[216]Cooper R G Winning at New Products:Accelerating the Process from Idea to Launch [M], third ed., New York:Pereus Publishing,2001.
[217]Krishnan V, Ulrich K T. Product development decisions:A review of the literature [J]. Management Science,2001,47:1-21.
[218]Montoya-Weiss M M, Calantone R J. Determinants of new product performance:a review and meta analysis [J]. Journal of Product Innovation Management,1994,11:397-417.
[219]Tsai H C, Hsiao S W. Evaluation of alternatives for product customization using fuzzy logic [J]. Information Sciences,2004,158:233-262.
[220]Gupta A, Pawar K S, Smart P. New product development in the pharmaceutical and telecommunication industries:A comparative study [J]. International Journal of Production Economics,2007,106(1):41-60.
[221]Herrera F, Martinez L. A 2-tuple fuzzy linguistic representation model for computing with words [J]. IEEE Transactions on Fuzzy Systems,2000,8(6):746-752.
[222]Adamopoulos G I, Pappis G P. A fuzzy linguistic approach to a multicriteria- sequencing problem [J]. European Journal of Operation Research,1996,92(3):628-636.
[223]Bordogna G, Passi G. A fuzzy linguistic approach generalizing boolean information retrieval: a model and its evaluation [J]. Journal of the American Society for Information Science, 1993,44(2):70-82.
[224]Herrera F, Herrera-Viedma E. Linguistic decision analysis:Steps for solving decision problems under linguistic information [J]. Fuzzy Sets and Systems,2000,115(1):67-82.
[225]Kacprzyk J, Zadrozny S. Computing with words in decision making through individual and collective linguistic choice rules [J]. International Journal of Uncertainty Fuzziness Knowledge-Based Systems,2001,9(supp 01):89-102.
[226]Lawry J. An alternative approach to computing with words [J]. International Journal of Uncertainty Fuzziness Knowledge-Based Systems,2001,9(1):3-16.
[227]Maeimin V M, Hatono I, Tamura H. Linguistic labels for expressing fuzzy preference relations in fuzzy group decision making [J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B:Cybernetics,1998,28(2):205-218.
[228]Rasmy M H, Lee S M, Abd El-Wahed W F, Ragab A M, El-Sherbiny M M. An expert system for multiobjective decision making application of fuzzy linguistic preferences and goal programming [J]. Fuzzy Sets and Systems,2002,127(2):209-220.
[229]Torra V. Negation functions based semantics for ordered linguistic labels [J]. International Journal of Intelligent Systems,1996,11(11):975-988.
[230]Torra V. The weighted OWA operator [J]. International Journal of Intelligent Systems,1997, 12(2):153-166.
[231]Bordogna G, Fedrizzi M, Passi G. A linguistic modeling of consensus in group decision making based on OWA operators [J]. IEEE Transactions on Systems, Man and Cybernetics. Part A:Systems and Humans,1997,27(1):126-133.
[232]Herrera F, Herrera-Viedma E, Verdegay J L. Choice processes for non-homogeneous group decision making in linguistic setting [J]. Fuzzy Sets and Systems,1998,94(3):287-308.
[233]Herrera F, Herrera-Viedma E, Verdegay J L. Direct approach processes in group decision making using linguistic OWA operators [J]. Fuzzy Sets and Systems,1996,79(2):175-190.
[234]Herrera F, Martinez L. The 2-tuple linguistic computational model advantages of its linguistic description, accuracy and consistency [J]. International Journal of Uncertainty Fuzziness Knowledge-Based Systems,2001,9(supp 01):33-48.
[235]Herrera F, Martinez L. A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in multiexpert decision-making [J]. IEEE Transaction on Systems, Man and Cybernetics-Part B:Cybernetics,2001,31(2):227-234.
[236]Wang R C, Chuu S J. Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system [J]. European Journal of Operational Research,2004,154(3):563-572.
[237]Kanawattanachai P, Yoo Y J. Dynamic nature of trust in virtual teams [J]. Journal of Strategic Information Systems,2002,11(3-4):187-213.
[238]Hung Y T C, Dennis A R, Robert L. Trust in virtual teams:Towards an integrative model of trust formation [C]. Procedding of 37th Hawaii International Conference on Systems Science, IEEE Computer Society Press, Hawaii, USA,2004, pp.1-11.
[239]DeSanctis G, Monge P. Introduction to the special issue:communication processes for virtual organizations [J]. Organization Science,1999,10(6):693-703.
[240]DeSanctis G, Poole M S. Transitions in teamwork in new organizational forms [J]. Advances in Group Processes,1997,14:157-176.
[241]Jarvenpaa S L, Leidner D E. Communication and trust in global virtual team [J]. Organization Science,1999,10(6):791-865.
[242]Lipnack J, Stamps J. Virtual teams:Reaching across space, time, and organizations with technology [J]. New York:John Wiley and Sons,1997.
[243]Powell A, Piccoli G, Ives B. Virtual teams:A review of the current literature and directions for future research [J]. The Data Base for Advances in Information Systems,2004,35(1): 6-36.
[244]Cascio W. Managing a virtual workplace [J]. Accademy of Management Executive,2000, 14(3):81-90.
[245]Greenberg P S, Greenberg R H, Antonucci Y L. Creating and sustaining trust in virtual teams [J]. Business Horizon,2007,50(4):325-333.
[246]Wang L, Xi Y M. Trust as a mediator of the transformational leadership on performance in virtual teams [C]. International Conference on Wireless Communications, Networking and Mobile Computing,2007. WiCom 2007, pp.6045-6048.
[247]Piccoli G. Trust and the unintended effects of behavior control in virtual teams [J]. MIS Quarterly,2003,27(3):365-395.
[248]Keyzerman Y. Trust in virtual teams [C]. Proceeding of International Professional Communication Conference,2003, IPCC 2003, pp.391-400.
[249]Iacono C S, Weisband S P. Developing trust in virtual teams [C]. Proceeding of the 30th Annual Hawaii International Conference on System Sciences, IEEE Computer Society Press, Hawaii, USA,1997, vol.2, pp.412-420.
[250]Handy C. Trust and the virtual organization [J]. Harvard Business Review,1995,73(3): 40-51.
[251]Nohria N, Eccles R G. Networks and Organizations [M]. Harvard Business School Press, Boston, MA,1992.
[252]Jarvenpaa S, Knoll K, Leidner D. Is anybody out there? Antecedents of trust in global virtual teams [J]. Journal of Management Information Systems,1998,14(4):29-64.
[253]Nakayama M K, Binotto E, Pilla B S. Trust in virtual teams:A performance indicator [J]. Proceeding of IFIP International Federation for Information, vol.210, D. Kumar, and J. Turner, Eds. Boston:Springer,2006, pp.105-113.
[254]Coppola N W, Hiltz S R, Rotter N G. Building trust in virtual teams [J]. IEEE Transactions Professional Communications,2004,47(20):95-104.
[255]LavraC N, LjubiC P, Urbancic T, Papa G Trust modeling for networked organization using reputation and collaboration estimates [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C:Applications and Reviews,2007,37(3):429-438.
[256]Chen T Y, Chen Y M, Chu H C. Developing a trust evaluation method between co-workers in virtual project team for enabling resource sharing and collaboration [J]. Computer in Industry,2008,59(6):565-579.
[257]Castleton Partners/TCO International Diversity Management. Building trust in diverse teams. PDF presentation [R],2007. Available:http://www.ecbproject.org/publications/ ECB1/ECB_Building_Trust_in_Teams_Scoping_Study.pdf.
[258]Chen M, Liou Y C, Wang C W, et al. Team Spirit:Design, implementation, and evaluation of a Web-based group decision support system [J]. Decision Support Systems,2007,43(4): 1186-1202.
[259]Johansen R. Groupware:Computer Support for Business Teams, New York:The Free Press, 1988.
[260]Zhu H B, Zhou M C. Role-based collaboration and its kernel mechanisms [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C:Applications and Reviews,2006, 36(4):44-56.
[261]Anawati D, Craig A. Behavioral adaptation within cross-cultural virtual teams [J]. IEEE Transactions on Professional Communication,2006,49(1):54-63.
[262]Beranek P M. A comparison of relational and trust training techniques for virtual team communication:how much training is enough [C]. Proceeding of 38th Proceedings of the 38th Annual Hawaii International Conference on System Sciences, HICSS, Jan.2005, Issue, 03-06 2005 pp.29b-29b.
[2]F.赫塞尔本等.未来的组织[M].成都：四川人民出版社,2000年.
[3]洪军.网络组织动态博弈分析与复杂性定性仿真研究[D].南京：东南大学,博士学位论文,2005.
[4]张爱玲.企业进入战略联盟时代[J].中外管理.1999,(2)：25-26.
[5]Roberts E B. Benchmarking the strategic management of technology [J]. Research Technology Management,1995,38(1):44-56.
[6]Turpin T, Garret, S. Bricoleurs and boundary riders:managing basic research and innovation knowledge networks [J]. R&D Management,1996,26(3):267-82.
[7]Ryeroft W R, Kash D E. Steering complex innovation [J]. Research Technology Management,2000,43(3):18-23.
[8]鲁若愚.企业大学合作创新机理研究[D].北京：清华大学,博士学位论文,2002年.
[9]国家自然科学基金委管理科学部管理科学“十五”优先资助领域论证报告[EB/OL],2001-6-1. http://www.amss.ac.cn/managesci/glkx-105content/glkx-105-p3-1-2. html.
[10]Camarinha-Matos L M, Afsarmanesh H. Collaborative networks:A new scientific discipline [J]. Journal of Intelligent Manufacturing,2005,16(4-5):439-452.
[11]胡荣昌；钱铭为.发展战略联盟打造企业竞争优势[J].企业研究,2006,(9)：46-47.
[12]Lewis D J. Partnership for Profit:Structuring and Managing Strategic Alliances [M]. New York:The Free Press,1990.
[13]Parker H. Inter-firm collaboration and the new product development process [J]. Industrial Management & Data Systems,2000,100(6):255-60.
[14]Horvath L. Collaboration:the key to value creation in supply chain management [J]. Supply Chain Management:An International Journal,2001,6(5):205-7.
[15]McLaren T, Head M, Yuan Y. Supply chain collaboration alternatives:understanding the expected cost and benefits [J]. Internet Research:Electronic Networking Applications and Policy,2000,12(4):348-64.
[16]McCarthy, T M, Golicic S L. Implementing collaborative forecasting to improve supply chain performance [J]. International Journal of Physical Distribution & Logistic Management,2002,32(6):431-54.
[17]Holton J A. Building trust and collaboration in a virtual team [J]. Team Performance Management:An International Journal,2001,7(3-4):36-47.
[18]Emden Z, Calantone R J, Droge C. Collaborating for new product development:Selecting the partner with maximum potential to create value [J]. The Journal of Product Innovation Management,2006,23:330-341.
[19]赵昌平,王方华,葛卫华.战略联盟的负效应及其启示[J].上海管理科学,2002,20(3)：16-18.
[20]Hajidimitriou Y A, Georgiou A C. A goal programming model for partner selection decisions in international joint ventures [J]. European Journal of Operational Research,2002,138:649-662.
[21]Chen S J, Lin L. Modeling team member characteristics for the formation of a multifunctional team in concurrent engineering [J]. IEEE Transactions on Engineering Management,2004,51(2):111-124.
[22]Kaihara T, Fujii S. Game theoretic enterprise management in industrial collaborative networks with multi-agent systems [J]. International Journal of Product Research,2008, 46(5):1297-1313.
[23]Huang C Y, Huang C C, Liu C Y. Order confirmation mechanism for collaborative production networks [J]. International Journal of Product Research,2008,46(3):595-620.
[24]Gulati R. Alliances and networks [J]. Strategic Management Journal,1998,19:293-317.
[25]Afsarmanesh H, Belleman R G, Belloum A S Z, Benabdelkader A, van den Brand J F J, Eijkel G B, Frenkel A, Garita C, Groep D L, Heeren R M A, Hendrikse Z W, Hertzberger L O, Kaandorp J A, Kaletas E C, Korkhov V, de Laat C T A M, Sloot P M. A, Vasunin D, Visser A, Yakali H H. VLAM-G:A gridbased virtual laboratory scientific programming [J]. Journal Scientific Programming,2002,10 (2):173-181.
[26]Freeman C. Networks of innovators:A synthesis of research issues [J]. Research Policy, 1991,20 (5):499-514.
[27]Powell W W, Koput K W, Smith-Doerr L. Inter-organizational collaboration and the locus of innovation:Networks of learning in biotechnology [J]. Administration Science Quarter, 1996,41:116-145.
[28]Grandstand O, Sjolander S. Managing innovation in multitechnology corporations [J]. Research Policy,1990,19:35-60.
[29]Burt R S. Structural Holes:The Social Structure of Competition [M]. Cambridge:Harvard University Press,1992.
[30]Gulati R. Social structure and alliance formation patterns:A longitudinal analysis [J]. Administration Science Quarter,1995,40:619-652.
[31]Watts A. A dynamic model of network formation [J]. Games Econom Behavior,2001,34: 331-341.
[32]Ahuja G Collaboration networks, structural holes and innovation:A longitudinal study [J]. Administrative Science Quarterly,2000,45:425-455.
[33]Alstyne M V, Brynjolfsson E. Widening access and narrowing focus:Could the Internet balkanize science? [J]. Science,1996,271:1479-480.
[34]Guimera R, Uzzi B, Spiro J, Nunes-Amaral L A. Team assembly mechanisms determine collaboration network structure and team performance [J]. Science,2005,308:697-702.
[35]Grant R M. Towards a knowledge-based theory of the firm [J]. Strategic Management Journal,1996,17:109-122.
[36]Cachon G P. Stock wars:inventory competition in a two-echelon supply chain with multiple retailers [J]. Operations Research,2001,49:658-674.
[37]Corbett C J. Stochastic inventory systems in a supply chain with asymmetric information: Cycle stocks, safety stocks, and consignment stock [J]. Operations Research,2001,49: 487-500.
[38]Chen Z L, Hall N G Supply chain scheduling:Conflict and cooperation in assembly systems [J]. Operations Research,2007,55:1072-1089.
[39]Graves S C, Willems S P. Optimizing the supply chain configuration for new products [J]. Management Science,2005,51:1165-1180.
[40]Cachon G P, Lariviere M A. Contracting to assure supply:how to share demand forecasts in a supply chain [J]. Management Science,2001,47:629-646.
[41]Cachon G P, Lariviere M A. Supply chain coordination with revenue-sharing contracts: strengths and limitations [J]. Management Science,2005,51:30-44.
[42]Sinha D, Cusumano M. Complementary resources and cooperative research:A model of research joint ventures among competition [J]. Strategic Science,1991,37(9):1091-1106.
[43]Hart O, Moore J. Property rights and the nature of the firm [J]. Journal of Political Economy, 1990,98:1119-1158.
[44]Harrigan, K. P. Joint ventures and competitive strategy [J]. Strategic Management Journal, 1988,9(2):141-158.
[45]Stuart T E. Interorganizational alliances and the performance of firms:A study of growth and innovation rates in a high-technology industry [J]. Strategic Management Journal,2000, 21(4):791-811.
[46]Hagedoorn G, Duysters J. External source of innovation capabilities:the perference for strategic alliance or mergers and acquisition [J]. Journal of Management Studies,2002, 39(2):167-188.
[47]Littler D, Leverick F, Bruce M. Factors affecting the process of collaborative product development:A study of UK manufacturers of information and communications technology products [J]. Journal of Product Innovation Management,1995,12(1):16-33.
[48]Chesbrough H W. Open Innovation:The New Imperative for Creating and Profiting from Technology [M]. Boston:Harvard Business School Press,2003.
[49]Bronder C, Pritzl R. Developing strategic alliances:A conceptual framework for successful co-operation [J]. European Management Journal,1992,10(4):412-422.
[50]Deck M, Strom M. Model of co-development emerges [J]. Research Technology Management,2002,45(3):47-54.
[51]Mohr J, Spekman R. Characteristics of partnership success:partnership attributes, communication behavior, and conflict resolution techniques [J]. Strategic Management Journal,1994,15(2):135-52.
[52]Hitt M A M, Dacin T, Levitas E, Arregle, J L, Borza A. Partner selection in emerging and developed market contexts:Resource-based and organizational learning perspectives [J]. Academy of Management Journal,2000,43(3):449-67.
[53]Geringer J M. Strategic determinants of partner selection criteria in international joint ventures [J]. Journal of International Business Studies,1991,22(1):41-62.
[54]Bucklin L P, Sengupta S. Organizing successful co-marketing alliances [J]. Journal of Marketing,1993,57(2):32-46.
[55]Banker R D, KaufFmann J R. The evolution of research on information systems:A fiftieth-year surveyof the literature in management science [J]. Management Science,2004, 50(3):281-298.
[56]Ghoshals H, Korine G S. Interunit communication in multinational corporations [J]. Management Science,1994,40:96-110.
[57]Szulanski G. Exploring internal stickiness:Impediments to the transfer of best practice with the firml [J]. Strategic Management Journal,1996,17:27-43.
[58]Uzzi B. The sources and consequences of embeddness for the economic performance of organizations:The network effect [J]. American Sociological Review,1996,61:674-678.
[59]Uzzi B. Social structure and competitive in the inter-firm network:The paradox of embeddness [J]. Administrative Science Quarterly,1997,42:35-67.
[60]Stuart T E. Network positions and propensities to ollaborate:an investigation of strategic alliance formation in a high-technology industry [J]. Administrative Science Quarterly,1998, 43:668-698.
[61]Luo Y D. Antecedents and consequences of personal attachment in cross-cultural cooperative ventures [J]. Administrative Science Quarterly,2001,46 (2):17-25.
[62]Griffin A, Hauser J R. Patterns of communication among marketing, engineering, and manufacturing:A comparison between two product teams [J], Management Science,1992, 38 (3),360-373.
[63]徐和平,孙林岩,慕继丰.产品创新网络中的信任与信任机制探讨[J].管理工程学报,2004,(2)：55-59.
[64]Verma R, Pullman M E. An analysis of the supplier selection process [J]. Omega,1998, 26(6):739-750.
[65]Geringer J M. Joint venture partner selection:Strategies for developed countries [M]. Quorum Books, Westport,1988.
[66]Vonderembse M A, Tracey M. The impact of supplier selection criteria and supplier involvement on manufacturing performance [J]. Journal of Supply Chain Management,1999, 35 (3):33-39.
[67]Mikhailov L. Fuzzy analytical approach to partnership selection in formation of virtual enterprises [J]. Omega,2002,30(5):393-401.
[68]Hajidimitriou Y A, Georgiou A C. A goal programming model for partner selection decisions in international joint ventures [J]. European Journal of Operational Research,2002,138 (3): 649-662.
[69]Huang X G, Wong Y S, Wang J G A two-stage manufacturing partner selection framework for virtual enterprises [J]. International Journal of Computer Integrated Manufacturing,2004, 7(4):294-304.
[70]Fischer M, Jahn H, Teich T. Optimizing the selection of partners in production networks [J]. Robotics and Computer-Integrated Manufacturing,2004 20(6):593-601.
[71]Ding J F, Liang G S. Using fuzzy MCDM to select partners of strategic alliances for liner shipping [J]. Information Sciences,2005,173:197-225.
[72]Amid, A, Ghodsypour, S H, Brien, C O. Fuzzy multiobjective linear model for supplier selection in a supply chain [J]. International Journal of Production Economics,2006,104(2), 394-407.
[73]Chang S L, Wang R C, Wang S Y. Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle [J]. International Journal of Production Economics,2006,100(2):348-359.
[74]Wang T C, Chen Y H. Applying consistent fuzzy preference relations to partnership selection [J]. Omega,2007,35:384-388.
[75]Zeng Z B, Li Y, Zhu W X. Partner selection with a due date constraint in virtual enterprises
[J]. Applied Mathematics and Computation,2006,175(2):1353-1365.
[76]Saen R F. Suppliers selection in the presence of both cardinal and ordinal data [J]. European Journal of Operational Research,2007,183(2):741-747.
[77]Biiyiikozkan G, Feyzioglu O, Nebol E. Selection of the strategic alliance partner in logistics value chain [J]. International Journal of Production Economics,2007,113(1):148-158.
[78]Araz C, Ozkarahan I. Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure [J]. International Journal of Production Economics,2007,106(2):585-606.
[79]Dickson C W. An analysis of vender selection systems and decision [J]. Journal of Purchasing,1966,2(1):5-7.
[80]Weber C A, Current J R, Benton W C. Vendor selection criteria and methods [J]. European Journal of Operational Research,1991,50:2-18.
[81]Quelin B. Core competencies, R&D management and partnerships [J]. European Management Journal,2000,18:476-487.
[82]Raiden A B, Dainty A R J, Neale R H. Current barriers and possible solutions to effective project team formation and deployment within a large construction organization [J]. International Journal of Project Management,2004,22:309-316.
[83]Zakarian A, Kusiak A. Forming teams:an analytical approach [J]. IIE Transactions,1999,31: 85-97.
[84]Wang Z, Yan H S, Ma X D. A quantitative Approach to the organisation of cross-functional teams in concurrent engineering [J]. International Journal of Advanced Manufacturing Technology,2003,21:879-888.
[85]Chung W Y, Guinan P J. Effects of participative management. Proceeding of the 1994 ACM SIGCPR Conference [C], Alexandria, Virginia,1994, pp.252-260.
[86]Haque B, Pawar K S, Barson R J. Analysing organizational issues in concurrent new product development [J]. International Journal of Production Economics,2000,67:169-182.
[87]Fitzpatrick E L, Askin R G. Forming effective worker teams with multi-functional skill requirements [J]. Computers & Industrial Engineering,2005,48(3):593-608.
[88]Talluri S, Baker R C. Quantitative framework for designing efficient business process alliance [C]. Proceeding of International Conference on Engineering and Technology Management, Piscataway, Piscataway,1996, pp.656-661.
[89]叶飞.信息不完全条件下虚拟企业合作伙伴选择的多维决策模型[J].工业工程与管理,2004,9(5)：38-41.
[90]Wang D, Yung K L, Ip W H. A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment [J]. IEEE Transactions on Systems, Man and Cybernetics —Part C:Applications and Reviews,2001,31(2):189-198.
[91]Ip W H, Huang M, Yung K L, Wang D. Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise [J]. Computers and Operations Research,2003,30: 213-231.
[92]Chen H H, Lee A H I, Tong Y. Prioritization and operations NPD mix in a network with strategic partners under uncertainty [J]. Expert Systems with Applications,2007,33: 337-346.
[93]Roodhooft F, Konings J. Vendor selection and evaluation:An activity based on costing approach [J]. European Journal of Operational Research,1996,96:97-102.
[94]孙利辉,徐寅峰,高山行.非对称研究合作组织合作伙伴选择[J].系统工程理论与实践,2003,23(2)：40-44.
[95]陈菊红,汪应洛,孙林岩.虚拟企业伙伴选择过程及方法研究[J].系统工程理论与实践,2001,21(7)：48-53.
[96]于吉祥,崔文田.团队成员选择的模型及算法[J].运筹与管理,2005,14(1)：128-132.
[97]Cowan R, Jonard N, Zimmermann, J B. Bilateral Collaboration and the Emergence of Innovation Networks [J]. Management Science,2007,53(7):1051-1067.
[98]Dacin T, Hitt M A, Levitas E. Selecting partners for successful international alliances: Examination of U.S. and Korean firms [J]. Journal of World Business,1997,32(1),3-16.
[99]Perks H. Marketing information exchange mechanisms in collaborative new product development [J]. Industrial Marketing Management,2000,29(2):179-89.
[100]Li D F, Yang J B. Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments [J]. Information Sciences,2004,158:263-275.
[101]Chen S M. A New Method for evaluating weapon systems using fuzzy set theory [J]. IEEE Transactions on Systems, Man and Cybernetics,1996,26(4):493-497.
[102]Lin C J, Wu W W. A causal analytical method for group decision-making under fuzzy environment [J]. Expert Systems with Applications,2008,34(1):205-213.
[103]Laarhoven P J M, van Pedrycz W. A fuzzy extension of Saaty's priority theory [J]. Fuzzy Sets and Systems,1983,11(1-3):229-241.
[104]Opricovic S, Tzeng G H. Defuzzification within a multicriteria decision model [J]. Journal of Uncertainty. Fuzziness and Knowledge based Systems,2003,11(5):635-652.
[105]Snedaker S, Hoenig N. How to Cheat at IT Project Management [M], IEEE press,2005, pp. 309-333. Available through:http://www.sciencedirect.com
[106]Tseng T L, Huang C C, Chu H W, Gung R R. Novel approach to multi-functional project team formation [J]. International Journal of Project Management,2004,22(2):147-159.
[107]Kaufmann A, Gupta M M. Introduction to Fuzzy Arithmetic—Theory and Applications [M], New York:Thomson Computer Press,1991.
[108]Zadeh LA. Fuzzy sets [J], Information and Control 1965,8:338-353.
[109]Zadeh L A. The concept of a linguistic variable and its application to approximate reasoning (Part Ⅱ)[J], Information Science,1975,8(4):301-357.
[110]Zimmermann H J. Fuzzy Set Theory and its Applications [M],2nd edn., Boston/Dordrecht/ London:Kluwer Academic Publishers,1991.
[111]Bonissone P P, Decker K S. Selecting uncertainty calculi and granularity:An experiment in trading-off precision and complexity [C], Uncertainty in Artificial Intelligence, Kanal, L.H. and Lemmer, J.F. Eds. Amsterdam, TheNetherlands:North-Holland,1986,217-247.
[112]Herrera F, Herrera-Viedma E, Verdegay J L. A sequential selection process in group decision making with linguistic assessment [J]. Information Sciences,1995,85:223-239.
[113]Jiang Y P, Fan Z P, Ma J. A method for group decision making with multi-granularity linguistic assessment information [J]. Information Sciences,2008,178(4):1098-1109.
[114]Kuo C C, Glover F, Dhir K S. Analyzing and modeling the maximum diversity problem by zero-one programming [J]. Decision Sciences,1993,24(6):1171-1185.
[115]Gallego M, Duarte A, Laguna M, Marti R. Hybrid Heuristics for the Maximum Diversity Problem [R]. Available through http://leeds-faculty.colorado.edu/Laguna/articles/hhmdp. pdf,2007.
[116]Glover F. Improved linear integer programming formulations of nonlinear integer problem [J]. Management Science,1975,22(4):455-460.
[117]Ghosh J B. Computational aspects of the maximum diversity problem [J]. Operations Research Letters,1996,19(4):175-181.
[118]Liberatore M J, Stylianou A C. Expert support systems for new product development decision-making:a modeling framework and applications [J]. Management Science,1995, 41:1296-1316.
[119]Baker N, Freeland J. Recent advances in R&D benefit measurement and project selection methods [J]. Management Science,1975,21:1164-1175.
[120]Griffin A. PDMA research on new product development practices:updating trends and benchmarking best practices [J]. Journal of Product Innovation Management,1997,14: 429-458.
[121]Engelen V J M L, Kiewiet D J, Terlouw P. Improving performance of product development teams through managing polarity [J]. International Studies of Management and Organization,2001,31:46-63.
[122]Gallstedt M. Working conditions in projects perceptions of stress and motivation among project team members and project manager [J]. International Journal of Project Management,2003,21:449-455.
[123]Akgun E A, Byrne J C, Lynn G S, Keskin H. Team stressors, management support, and project and process outcomes in new product development projects [J]. Technovation,2007, 27:628-639.
[124]Levi D, Slem C. Team work in research and development organizations:the characteristics of successful teams [J]. International Journal of Industrial Ergonomics,1995,16:29-42
[125]Chen W T, Chen T T. Critical success factors for construction partnering in Taiwan [J]. International Journal of Project Management,2007,25:475-484.
[126]Barczak G, Wilemon D. Team member experiences in new product development views from the trenches [J]. R&D Management,2003,33:463-479.
[127]Hoegl M, Proserpio L. Team member proximity and teamwork in innovative projects [J]. Research Policy,2004,33:1153-1165.
[128]Boies K M, Howell J M. Leader-member exchange in teams:An examination of the interaction between relationship differentiation and mean LMX in explaining team-level outcomes [J]. The Leadership Quarterly,2006,17:246-257.
[129]Lewis R. Membership and management of a virtual team:the perspectives of a research manager [J]. R&D Management,1998,28:5-12.
[130]Schilling M A, Phelps C C. Interfirm collaboration networks:the impact of large-scale Network structure on firm innovation [J]. Management Science,2007,53:1113-1126.
[131]Balakrishnan S, Koza M P. Information asymmetry, adverse selection and joint ventures [J]. Journal of Economic Behavior and Organization,1993,20:99-117.
[132]Chen Y L, Cheng L C, Chuang C N. A group recommendation system with consideration of interactions among group members [J]. Expert Systems with Applications,2008,34: 2082-2090.
[133]Chen H H, Lee A H I, Tong Y. Prioritization and operations NPD mix in a network with strategic partners under uncertainty [J]. Expert Systems with Applications,2007,33: 337-346.
[134]Sha D Y, Che Z H. Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system [J]. International Journal of Advanced Manufacturing Technology,2005,25:793-802.
[135]Chen I J, Paulraj A. Understanding supply chain management:critical research and a theoretical framework [J]. International Journal of Production Research,2004,42:131-163.
[136]Saaty T L. The Analytic Hierarchy Process [M], New York, McGraw Hill Company,1980.
[137]Hwang C L, Yoon K. Multiple attributes Decision Making:Methods and Applications [M], Berlin:Springer,1981.
[138]Nosratinia A, Hunter T E. Grouping and partner selection in cooperative wireless networks [J]. IEEE Journal on Selected Areas in Communications,2007,25:369-378.
[139]Gupta R K, Shishodia S, Sekhon G S. Optimization of grinding process parameters using enumeration method [J]. Journal of Materials Processing Technology,2001,112:63-67.
[140]Holland J H. Adaptation in Natural and Artificial Systems [M], Michigan:University of Michigan Press,1975.
[141]Gen M, Cheng R. Genetic Algorithm and Engineering Design [M], New York:John Wiley & Sons,1997.
[142]Michalewicz Z. Genetic Algorithm+Data Structure=Evolution Programs [M],3rd edition. New York:Springer-Verlag,1996.
[143]Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ [J]. IEEE Transactions on Evolutionary Computation,2002,6: 182-197.
[144]Yen G, Lu H. Dynamic multiobjective evolutionary algorithm:Adaptive cell-based rank and density estimation. IEEE Transactions on Evolutionary Computation,2003,7(3):253-274.
[145]Zitzler E, Thiele L. Multi-Objective evolutionary algorithms:A comparative case study and the strength Pareto approach [J]. IEEE Transactions on Evolutionary Computation,1999, 3(4):257-271.
[146]Lan T, Liu S R, Gu X S. Approaches of evolutionary multiobjective optimization [J]. Control and Dicesion,2006,21(6):601-605.
[147]周明,孙树栋.遗传算法原理及应用[M],北京：国防工业出版社,1999.
[148]Keller R T. Cross-functional project groups in research and new product development: Diversity, communications, job stress, and outcomes [J]. The Academy of Management Journal,2001,44:547-555.
[149]Lawrence P, Lorsch J. Differentiation and integration in complex organizations [J]. Administrative Science Quarterly,1967,12(1):1-47.
[150]Holland S, Gsaton K. Gomes J. Critical success factors for cross-functional teamwork in new product development [J]. International Journal of Management Reviews,2000,2(3): 231-259.
[151]Ford R C, Randolph W A. Cross-functional structures:A review and integration of matrix organization and project management [J]. Journal of Management,1992,18:267-294.
[152]Ancona D G Outward bound:Strategies for team survival in an organization [J]. The Academy of Management Journal,1990,33:334-365.
[153]Hitt M A, Hoskisson R E, Nixon R D. A mid-range theory of interfunctional integration, its antecedents, and outcomes [J]. Journal of Engineering and Technology Management,1993, 10:161-185.
[154]Hacklin F, Marxt C, Fahrni F. Strategic venture partner selection for collaborative innovation in production systems:A decision support system-based approach [J]. International Journal of Production Economics,2006,104:100-112.
[155]Nof S Y. Next generation of production research:Wisdom, collaboration, and society [J]. International Journal of Production Economics,2008,60-61:29-34.
[156]Msanjila S S, Afsarmanesh H. Trust analysis and assessment in virtual organization breeding environments [J]. International Journal of Product Research,2008,46(5): 1253-1295.
[157]Gloor P A, Paasivaara M, Schoder D, Willems P. Finding collaborative innovation networks through correlating performance with social network structure [J]. International Journal of Product Research,2008,46(5):1357-1371.
[158]Mansouri S A. A multi-objective genetic algorithm for mixed-model sequencing on JIT assembly lines [J]. European Journal of Operational Research,2005,167(3):696-716.
[159]Lee L H, Lee C U, Tan Y P. A multi-objective genetic algorithm for robust flight scheduling using simulation [J]. European Journal of Operational Research,2007,177(3):1948-1968.
[160]创新研究群体科学基金[EB/OL]. http://www.nsfc.gov.cn/nsfc/cen/xmzn/2008xmzn /05rc/05.htm.
[161]杨烈勋.研究与开发项目评估及应用[M],北京：科学出版社,2002.
[162]王凭慧.科学研究项目评估方法综述[J],科研管理,1999,20(3)：18-24.
[163]肖人毅,王长锐.科研基金项目立项评估方法的研究与改进[J],系统工程理论与实践,2004,24(5)：66-71.
[164]Martino J P. Research and Development Project Selection [M]. New York:Wiley-Interscience/Wiley,1995.
[165]Tian Q, Ma J, Liu O. A hybrid knowledge and model system for R&D project selection [J]. Expert Systems with Applications,2002,23(3):265-271.
[166]Henriksen A D Traynor A J. A practical R&D project-selection scoring tool [J]. IEEE Transactions on Engineering Management,1999,46(2):158-170.
[167]Wang K M, Wang C K, Hu C. Analytic hierarchy process with fuzzy scoring in evaluating multidisciplinary R&D projects in China [J]. IEEE Transaxtions on Engineering Management,2005,52(1):119-129.
[168]Sun Y H, Ma J, Fan Z P, Wang J. A group decision support approach to evaluate experts for R&D project selection [J]. IEEE Transaxtions on Engineering Management,2008,55(1): 158-170.
[169]Turban E, Zhou D, Ma J. A group decision support approach to evaluating journals [J]. Information & Management,2004,42(1):31-44.
[170]Saaty T L, Hu G Ranking by eigenvector versus other methods in the analytic hierarchy process [J]. Applied Mathematics Letters,1998,11(4):121-125, July.
[171]Xu Z. On consistency of the weighted geometric mean complex judgement matrix in AHP [J]. European Journal of Operational Research,2000,126(3):683-687.
[172]Aczel J, Saaty T L. Procedures for synthesizing ratio judgments [J]. Journal of Mathematical Psychology,1983,27(1):93-102.
[173]Benjamin C O, Ehie L C, Omurtag Y. Planning facilities at the University of Missouri-Rolla [J]. Interface,1992,22(4):95-105.
[174]Saaty T L, Kearns K, P., Analytical Planning:The Organization of Systems [M]. Oxford: Pergamon Press,1985.
[175]Willet K, Sharda R. Using the analytic hierarchy process in water resources planning: Selection of food control projects [J]. Socio Economic Planning Sciences,1991, (2): 103-112.
[176]Escobar M T, Aguaron J, Moreno-Jimenez J M. A note on AHP group consistency for the row geometric mean priorization procedure [J]. European Journal of Operational Research, 2004,153(2):318-322.
[177]Expert Choice, Inc., Expert Choice software and manual.4922 Elsworth Avenue, Pittsburgh, PA 15213, USA.
[178]Saaty T L, Vargas L G. Prediction, Projection and Forecasting [J]. Dordrecht:Kluwer Academic Publishers,1991.
[179]徐久龄,马波.科学进程中的合作研究[J].情报理论与实践,2006,29(3)：277-280.
[180]Kahraman C, BUytlkozkan G, Ates N Y. A two phase multi-attribute decision-making approach for new product introduction [J]. Information Sciences,2007,177:1567-1582.
[181]Galbraith J. Designing Complex Organizations [M]. Massachusetts:Addison-Wesley,1973.
[182]Reilly R R, Lynn G S, Aronson Z H. The role of personality in new product development team performance [J]. Journal of Engineering and Technology Management,2002,19: 39-58.
[183]Appleyard M M. The influence of knowledge accumulation on buyer-supplier codevelopment projects [J]. Journal of Product Innovation Management,2003.20(5): 356-73.
[184]Hagedoorn J. Inter-firm R&D partnerships:an overview of major trends and patterns since 1960 [J]. Research Policy,2002,31(4):477-92.
[185]Hummel J M, Van Rossum W, Verkerke G J, Rakhorst G The effects of team expert choice on group decision-making in collaborative new product development:a pilot study [J]. Journal of Multicriteria Decision Analysis,2000,9(1-3):90-8.
[186]Kreiner K, Schultz M. Informal collaboration in R&D:the formation of networks across organizations [J]. Organization Studies,1993,14(2):189-209.
[187]Scott S G Social identification effects in product and process development teams [J]. Journal of Engineering and Technology Management,1997,14:97-127.
[188]Mohr A T, Puck J F. Role conflict, general manager job satisfaction and stress and the performance of IJVs [J]. European Management Journal,2007,25(1):25-35.
[189]Akgun A E, Lynn G S. Antecedents and consequences of team stability on new product development performance [J]. Journal of Engineering and Technology Management,2002, 19:263-286.
[190]Carbonell P, Rodriguez A I. Designing teams for speedy product development:The moderating effect of technological complexity [J]. Journal of Business Research,2006,59: 225-232.
[191]Hoppock R. Job satisfaction [J]. New York:Harper & Brother,1935.
[192]Glisson C V, Durick M. Predictors of job satisfaction and organizational commitment in human service organizations [J]. Administrative Quarterly 1988,33(1):61-68.
[193]Lang J R, Johnson N B. Job satisfaction and firm size:an interactionist perspective [J]. The Journal of Socio-Economics,1994,23:405-423.
[194]Theodossiou I, Vasileiouc E. Making the risk of job loss a way of life:does it affect job satisfaction? [J]. Research in Economics,2007,61(2):71-83.
[195]Tsai P C F, Yen Y F, Huang L C, Huang I C. A study on motivating employees' learning commitment in the post-downsizing era:job satisfaction perspective [J]. Journal of World Business,2007,42(2):157-169.
[196]Anderson R E. Consumer Satisfaction:The effect of disconfirmed expectancy on perceived product performance [J]. Journal of Marketing Research,1973,10:38-44.
[197]LaBarbera P A, Mazursky D. A longitudinal assessment of consumer satisfaction/ dissatisfaction:the dynamic aspect of the cognitive process [J]. Journal of Marketing Research,1983,20(4):393-404.
[198]Mihelis G, Grigoroudis E, Siskos Y, Politis Y, Malandrakis Y. Customer satisfaction measurement in the private bank sector [J]. European Journal of Operational Research, 2001,130(2):347-360.
[199]Ramasubbu N, Mithas S, Krishnan M S. High tech, high touch:the effect of employee skills and customer heterogeneity on customer satisfaction with enterprise system support services [J]. Decision Support Systems, In Press,2007.
[200]He Y Q, Chan L K, Wu M L. Balancing productivity and consumer satisfaction for profitability:Statistical and fuzzy regression analysis [J]. European Journal of Operational Research,2007,176(1):252-263.
[201]Chen L D, Soliman K S, Mao E, Frolick M N. Measuring user satisfaction with data warehouses:an exploratory study [J]. Information & Management,2000,37(3):103-110.
[202]Zviran M, Glezer C, Avni I. User satisfaction from commercial web sites:the effect of design and use [J]. Information & Management,2006,43(2):157-178.
[203]Ong C S, Lai J Y. Measuring user satisfaction with knowledge management systems:scale development, purification, and initial test [J]. Computers in Human Behavior,2007,23(3): 1329-1346.
[204]Fan Z P, Li Z J, Sun Y H. A fuzzy evaluation method for the user satisfaction degree with knowledge management system [J]. Intelligent Information Management Systems and Technologies,2005,1(1):21-27.
[205]Jeong M, Oh H. Quality function deployment:An extended framework for service quality and customer satisfaction in the hospitality industry [J]. International Journal of Hospitality Management,1998,17(4):375-390.
[206]de los Cobos J P, Sinol N, Trujols J, et al. Association of CYP2D6 ultrarapid metabolizer enotype with deficient patient satisfaction regarding methadone maintenance treatment [J]. Drug and Alcohol Dependence,2007,89(1):190-194.
[207]Dusheiko M, Gravelle H, Yu N, Campbell S. The impact of budgets for gatekeeping physicians on patient satisfaction:Evidence from fundholding [J]. Journal of Health Economics,2007,26(4):742-762.
[208]Schul L K, Little T E, Pride W M. Channel climate:its impact on channel member's satisfaction [J]. Journal of Retailing,1985,61(2):9-38.
[209]Xie M, Tan K C, Goh T N. Advanced QFD Applications [M]. Milwaukee:ASQ Quality Press,2003.
[210]Yeh D Y, Cheng C H, Chi M L. A modified two-tuple FLC model for evaluating the performance of SCM:By the six sigma DMAIC process [J]. Applied Soft Computing,2007, 7:1027-1034.
[211]Martinez L, Liu J, Ruan D, Yang J B. Dealing with heterogeneous information in engineering evaluation processes [J]. Information Sciences,2007,177:1533-1542.
[212]Delgado M, Verdegay J L, Vila M A. On aggregation operations of linguistic labels [J]. International Journal of Intelligently System,1993,8:351-370.
[213]Oliver R L. A cognitive model of the antecedents and consequences of satisfaction decisions [J]. Journal of Market Research,1980,17:460-9.
[214]Haken H. Advanced Synergetics:Instability Hierarchies of Self-Organizing Systems and Devices [M]. Berlin:Springer,1983.
[215]Coldrick S, Longhurst P, Ivey P, Hannis J. An R&D options selection model for investment decisions [J]. Technovation,2005,25:185-193.
[216]Cooper R G Winning at New Products:Accelerating the Process from Idea to Launch [M], third ed., New York:Pereus Publishing,2001.
[217]Krishnan V, Ulrich K T. Product development decisions:A review of the literature [J]. Management Science,2001,47:1-21.
[218]Montoya-Weiss M M, Calantone R J. Determinants of new product performance:a review and meta analysis [J]. Journal of Product Innovation Management,1994,11:397-417.
[219]Tsai H C, Hsiao S W. Evaluation of alternatives for product customization using fuzzy logic [J]. Information Sciences,2004,158:233-262.
[220]Gupta A, Pawar K S, Smart P. New product development in the pharmaceutical and telecommunication industries:A comparative study [J]. International Journal of Production Economics,2007,106(1):41-60.
[221]Herrera F, Martinez L. A 2-tuple fuzzy linguistic representation model for computing with words [J]. IEEE Transactions on Fuzzy Systems,2000,8(6):746-752.
[222]Adamopoulos G I, Pappis G P. A fuzzy linguistic approach to a multicriteria- sequencing problem [J]. European Journal of Operation Research,1996,92(3):628-636.
[223]Bordogna G, Passi G. A fuzzy linguistic approach generalizing boolean information retrieval: a model and its evaluation [J]. Journal of the American Society for Information Science, 1993,44(2):70-82.
[224]Herrera F, Herrera-Viedma E. Linguistic decision analysis:Steps for solving decision problems under linguistic information [J]. Fuzzy Sets and Systems,2000,115(1):67-82.
[225]Kacprzyk J, Zadrozny S. Computing with words in decision making through individual and collective linguistic choice rules [J]. International Journal of Uncertainty Fuzziness Knowledge-Based Systems,2001,9(supp 01):89-102.
[226]Lawry J. An alternative approach to computing with words [J]. International Journal of Uncertainty Fuzziness Knowledge-Based Systems,2001,9(1):3-16.
[227]Maeimin V M, Hatono I, Tamura H. Linguistic labels for expressing fuzzy preference relations in fuzzy group decision making [J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B:Cybernetics,1998,28(2):205-218.
[228]Rasmy M H, Lee S M, Abd El-Wahed W F, Ragab A M, El-Sherbiny M M. An expert system for multiobjective decision making application of fuzzy linguistic preferences and goal programming [J]. Fuzzy Sets and Systems,2002,127(2):209-220.
[229]Torra V. Negation functions based semantics for ordered linguistic labels [J]. International Journal of Intelligent Systems,1996,11(11):975-988.
[230]Torra V. The weighted OWA operator [J]. International Journal of Intelligent Systems,1997, 12(2):153-166.
[231]Bordogna G, Fedrizzi M, Passi G. A linguistic modeling of consensus in group decision making based on OWA operators [J]. IEEE Transactions on Systems, Man and Cybernetics. Part A:Systems and Humans,1997,27(1):126-133.
[232]Herrera F, Herrera-Viedma E, Verdegay J L. Choice processes for non-homogeneous group decision making in linguistic setting [J]. Fuzzy Sets and Systems,1998,94(3):287-308.
[233]Herrera F, Herrera-Viedma E, Verdegay J L. Direct approach processes in group decision making using linguistic OWA operators [J]. Fuzzy Sets and Systems,1996,79(2):175-190.
[234]Herrera F, Martinez L. The 2-tuple linguistic computational model advantages of its linguistic description, accuracy and consistency [J]. International Journal of Uncertainty Fuzziness Knowledge-Based Systems,2001,9(supp 01):33-48.
[235]Herrera F, Martinez L. A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in multiexpert decision-making [J]. IEEE Transaction on Systems, Man and Cybernetics-Part B:Cybernetics,2001,31(2):227-234.
[236]Wang R C, Chuu S J. Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system [J]. European Journal of Operational Research,2004,154(3):563-572.
[237]Kanawattanachai P, Yoo Y J. Dynamic nature of trust in virtual teams [J]. Journal of Strategic Information Systems,2002,11(3-4):187-213.
[238]Hung Y T C, Dennis A R, Robert L. Trust in virtual teams:Towards an integrative model of trust formation [C]. Procedding of 37th Hawaii International Conference on Systems Science, IEEE Computer Society Press, Hawaii, USA,2004, pp.1-11.
[239]DeSanctis G, Monge P. Introduction to the special issue:communication processes for virtual organizations [J]. Organization Science,1999,10(6):693-703.
[240]DeSanctis G, Poole M S. Transitions in teamwork in new organizational forms [J]. Advances in Group Processes,1997,14:157-176.
[241]Jarvenpaa S L, Leidner D E. Communication and trust in global virtual team [J]. Organization Science,1999,10(6):791-865.
[242]Lipnack J, Stamps J. Virtual teams:Reaching across space, time, and organizations with technology [J]. New York:John Wiley and Sons,1997.
[243]Powell A, Piccoli G, Ives B. Virtual teams:A review of the current literature and directions for future research [J]. The Data Base for Advances in Information Systems,2004,35(1): 6-36.
[244]Cascio W. Managing a virtual workplace [J]. Accademy of Management Executive,2000, 14(3):81-90.
[245]Greenberg P S, Greenberg R H, Antonucci Y L. Creating and sustaining trust in virtual teams [J]. Business Horizon,2007,50(4):325-333.
[246]Wang L, Xi Y M. Trust as a mediator of the transformational leadership on performance in virtual teams [C]. International Conference on Wireless Communications, Networking and Mobile Computing,2007. WiCom 2007, pp.6045-6048.
[247]Piccoli G. Trust and the unintended effects of behavior control in virtual teams [J]. MIS Quarterly,2003,27(3):365-395.
[248]Keyzerman Y. Trust in virtual teams [C]. Proceeding of International Professional Communication Conference,2003, IPCC 2003, pp.391-400.
[249]Iacono C S, Weisband S P. Developing trust in virtual teams [C]. Proceeding of the 30th Annual Hawaii International Conference on System Sciences, IEEE Computer Society Press, Hawaii, USA,1997, vol.2, pp.412-420.
[250]Handy C. Trust and the virtual organization [J]. Harvard Business Review,1995,73(3): 40-51.
[251]Nohria N, Eccles R G. Networks and Organizations [M]. Harvard Business School Press, Boston, MA,1992.
[252]Jarvenpaa S, Knoll K, Leidner D. Is anybody out there? Antecedents of trust in global virtual teams [J]. Journal of Management Information Systems,1998,14(4):29-64.
[253]Nakayama M K, Binotto E, Pilla B S. Trust in virtual teams:A performance indicator [J]. Proceeding of IFIP International Federation for Information, vol.210, D. Kumar, and J. Turner, Eds. Boston:Springer,2006, pp.105-113.
[254]Coppola N W, Hiltz S R, Rotter N G. Building trust in virtual teams [J]. IEEE Transactions Professional Communications,2004,47(20):95-104.
[255]LavraC N, LjubiC P, Urbancic T, Papa G Trust modeling for networked organization using reputation and collaboration estimates [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C:Applications and Reviews,2007,37(3):429-438.
[256]Chen T Y, Chen Y M, Chu H C. Developing a trust evaluation method between co-workers in virtual project team for enabling resource sharing and collaboration [J]. Computer in Industry,2008,59(6):565-579.
[257]Castleton Partners/TCO International Diversity Management. Building trust in diverse teams. PDF presentation [R],2007. Available:http://www.ecbproject.org/publications/ ECB1/ECB_Building_Trust_in_Teams_Scoping_Study.pdf.
[258]Chen M, Liou Y C, Wang C W, et al. Team Spirit:Design, implementation, and evaluation of a Web-based group decision support system [J]. Decision Support Systems,2007,43(4): 1186-1202.
[259]Johansen R. Groupware:Computer Support for Business Teams, New York:The Free Press, 1988.
[260]Zhu H B, Zhou M C. Role-based collaboration and its kernel mechanisms [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C:Applications and Reviews,2006, 36(4):44-56.
[261]Anawati D, Craig A. Behavioral adaptation within cross-cultural virtual teams [J]. IEEE Transactions on Professional Communication,2006,49(1):54-63.
[262]Beranek P M. A comparison of relational and trust training techniques for virtual team communication:how much training is enough [C]. Proceeding of 38th Proceedings of the 38th Annual Hawaii International Conference on System Sciences, HICSS, Jan.2005, Issue, 03-06 2005 pp.29b-29b.