用户名: 密码: 验证码:
团队协同的知识工作效率影响因素及效率评价研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
以计算机和网络为代表的信息技术以及各种高新技术的高速发展,将人类社会带入知识经济时代。不同的企业通过建立伙伴关系,整合各自的核心能力,才能最大限度地提高产品与服务的竞争力。为了构建现代企业组织的核心竞争能力,企业组织随着企业的经营环境、企业能力和企业发展战略的变化而发生变化。在企业组织的内外动力作用下,企业组织发生变革,扁平化,网络化以及团队等组织结构形式提高了企业组织的反应能力,降低了决策代理成本,信息技术的发展使“跨经济领域”的团队得到更为广泛的应用。以脑力劳动为主的团队协同的知识工作成为主要的工作方式,这类工作没有—套固定的程序,工作过程具有时间的不连续性和过程的不确定性,与传统的工作方式相比有根本性的差别。如何提高和度量团队协同的知识工作效率成为现今组织必须解决的问题。针对这一问题,本文深入探讨了团队协同的知识工作效率的影响因素,构建了完整的效率评价指标体系和效率评价模型。本文的主要研究内容及结论如下:
     1、本文在理论上对团队协同的知识工作及其效率进行了研究。包括知识工作内涵、工作内容、工作过程以及其效率的内涵及特征。知识工作的内涵表明知识工作主体必须具备一定知识、技术,生产工具一般为技术,知识,其工作形式以群体协同为主,并且得到以信息为特征的产出。通过对知识工作团队的工作特征的研究,映射出:1)知识工作团队中个人的效率难以评价;2)对个人的工作效率评价方法已不能运用于知识工作团队评价体制中。同时,本文研究还发现新时代的“效率”内涵发生巨大变化,认为团队协同知识工作效率体现了知识工作团队投入的时间、人力、财力、协同力等与任务达成率、成员满意程度和团队存活力之间的关系。
     2、本文研究得到了影响团队协同知识工作效率的关键因素。基于对国内外理论文献的研究,构建了“影响因素--过程--知识工作团队效率”的模型,通过探索性实验、走访、调查等实验手段形成了“知识工作团队效率的影响因素”量表,研究了三者之间相互的关系,将影响团队协同知识工作效率的因素归纳为六个方面,即团队构成、团队结构、管理因素、环境因素、知识作用、团队过程。并通过相关性分析和检验确定了影响团队协同知识工作效率的关键因素。同时由此模型分析得出,各个层面的关键影响因素,都是通过团队过程因素来影响团队的最终效率。
     3、运用结构方程模型建模(SEM)方法,研究各因素对团队协同知识工作效率的影响路径。利用Amos结构方程模型分析软件,通过多次拟合最终得到符合标准的模型34条影响路径图,该模型显示了个体差异性、成员认知能力、成员角色、任务结构、团队规范、团队文化、激励因素、环境因素八个方面的关键影响因子通过过程对知识工作团队效率影响的显著路径,并刻画了最终路径图及其影响效应值,根据最终路径图及其影响效应值,可以有效的找到改善知识工作团队效率的最佳途径,为在实践中改善团队协同知识工作效率提供了理论依据。
     4、构建了团队协同知识工作效率的模糊DEA模型和评价指标体系。从知识工作团队的投入和产出两方面着手,建立了以时间、人力、财力、固定投入以及团队协同力投入为投入指标,以任务达成率、团队成员个人满意程度、团队存活力为产出指标的团队协同的知识工作团队效率评价指标体系。通过引入模糊集理论,将知识工作团队效率评价中难以精确表达的模糊性指标处理成适当的模糊集合,采用基于截集的方法来求解模糊DEA模型,对该评价模型进行了算例研究和分析。以20个设计型知识工作团队为例利用该模型进行效率评价,并对团队协同的知识工作效率影响因素进行了验证分析。
     本文对团队协同的的知识工作效率影响因素及效率评价问题进行了探索性研究,取得了有意义的研究成果和结论。虽然还有很多问题仍然需要深入研究,但这对于深化团队协同知识工作效率研究,丰富团队协同的知识工作和效率评价理论能够起到积极的促进作用,并对企业的管理和发展有着一定的指导意义。
The speedy development of high and new technologies such as IT brings us into the age of knowledge economy. Partnership between firms can integrate core competence and greatly increase the competitive strength. Firms structure change according to their environment, their abilities and their strategies. Some new types of organizations like flat organization, network organization and teamwork can react quickly and decrease agent costs. And the cross-cutting teamwork can be better applied with information technologies. In knowledge economy, the knowledge work of team collaboration featured as brainwork is becoming popular. Such work is totally different from traditional work because it has no fixed procedure, and is discontinue in time and uncertain in process. How to effectively evaluate the efficiency of knowledge team is a key problem that firms must resolve. Aimed at this problem, this paper deeply discussed the factors that influence the efficiency of knowledge work, and construct a complete efficiency evaluation index system and a model of efficiency evaluation. The contents and main results of this research are as follows.
     1、The knowledge work and its efficiency of team collaboration were discussed theoretically. We discussed the connotations, contents, and process of knowledge work and the connotations and the character of the efficiency. The characters of knowledge work team mean that: the personal efficiency is hard to evaluate in knowledge work team; and the traditional evaluation methods can not be used to evaluate knowledge work team. At the same time, this paper found out that the connotation of efficiency in the new age embodies the relationship between the resources used in knowledge teamwork and task accomplishment, members’satisfaction and team survival.
     2、This paper obtained the key factors that may influence the knowledge work efficiency in team collaboration. Based on the literature review, the model of influential factor-process-knowledge teamwork efficiency was identified, and by explorative observation experiments and interviews, the influential factor scale of knowledge teamwork efficiency was shaped. There are six types of factors that influence the knowledge work efficiency: team composition, team process, team structure, team knowledge effect, team management, environments and so on. All the key factors were identified by correlation analysis and all the factors work through team process.
     3、SEM was applied to analyze the paths through which all the factors influence knowledge work efficiency. 34 paths were got with Amos and they showed that personal varieties, cognitive competences, team member roles, task structures, team criteria, team culture, motivations, and environments can influence knowledge teamwork efficiency through the process. According to the path diagram, the best way to amend knowledge teamwork efficiency can be quickly found. All the above brought forward the theoretic bases to the improvement of teamwork cooperation in practice.
     4、The fuzzy DEA evaluation index system for knowledge work efficiency of team collaboration was obtained. Input indices were identified as time, human, money, fixed input, and team collaboration; and output indices were identified as task accomplishment, members’satisfaction and team survival. Based on the fuzzy set theory, the blur indices were managed into fuzzy set, and DEA model was solved by cut set. With 20 knowledge teamwork as one example, the model was used to evaluate their efficiencies, and the influential factors were tested too.
     The explosive research of the influential factors and the evaluation model of the knowledge work efficiency of team collaboration acquired some meaningful results. Although there are some problems to dig into, such a research can positively improve theories on knowledge work of team collaboration, and can guide firms to better develop as well.
引文
[1]景文虹.知识经济时代的企业人本管理模式[J].中共郑州市委党校学报,2009.6:104.
    [2]王笃峰.企业成功的内在动力——团队精神[J].科学与管理,2005.
    [3]伍佳,易树平,廖益,李发权.知识工作效率评价体系初探[J].现代管理技术,2009:34.
    [4] Cortada W. James Editor. Rise of the knowledge worker. Butterworth-Heinemann, 1998:1-9.
    [5] Peter Drucker.Knowledge Work Productivity: The Biggest Challenge[J], California Management Review Vol.41 No.2,1999.
    [6] A. Kleingartner, C.S.Anderson, Human Resource Management in High Technology Firm, Lexington Books,1987.
    [7] Peter Drucker.知识工人是新资本家[J].国外社会科学文献, 2002,1 .
    [8] G.Davis et al.“Conceptual Model for Research on Knowledge Work”, MISRC Working Paper 10,1991.
    [9] Thomas H.Davenport et al:“Improving Knowledge Work Processes”[J].Sloan Management Review, Summer, 1996.
    [10]弗里茨·马克卢普美国知识的生产和分布[M],普林斯顿大学出版社1962.
    [11]弗朗西斯·赫瑞比.管理知识员工[M].北京:机械工业出版社,2002.
    [12]屠海群:从人性立场和知识资本理论透视知识工作者内涵及其二重性特征[J],经济师, 2000.(12)14~16.
    [13]艾娟.知识工作的界定及其生产率问题的实证研究[D].东华大学硕士学位论文2004.
    [14]杨文彩,易树平,张晓冬等.知识工作者工作效率影响因素及其作用机理分析[J].重庆大学学报,2006,29(7):10-14.
    [15]艾娟.知识工作的界定及其生产率问题的实证研究[D].东华大学硕士论文,2004.
    [16] Yuri W. Ramirez Rodriguez. Defining measures for the intensity of knowledge work in tasks and workers[J]. Wisconsin-Madison University 2006.10.
    [17] W.F. Prassl , J.M. Peden , K.M. Wong. A process-knowledge management approach for assessment and mitigation of drilling risks[J]. Journal of Petroleum Science & Engineering 49 (2005) :142-161.
    [18] Thomas Scheib. Work Process Knowledge—A Keyword of Modern Competence Development Focussed on the Chemical Industry[J].
    [19] Tom Davenport. Sirkka Jarvenpaa. Mike Beers. Improving Knowledge Work Processes. [J]
    [20] Thomas H. Davenport. Sirkka L. Jarvenpaa. Michael C. Beers. Improving Knowledge WorkProcesses. Sloan Management Review[J];Summer 1996; 37,4; Academic Research Library.
    [21] Ming-Tien Tsai. Yong-Hui Li. Knowledge creation process in new venturestrategy and performance[J]. Journal of Business Research 60 (2007) :371-381.
    [22] Sirkka Jarvenpaa. The Knowledge Discovery Process [J] .
    [23] Gregorio Martin-de-Castro. Pedro Lopez-Saez. Jose E. Navas-Lopez. Processes of knowledge creation in knowledge-intensive firms[J]. Empirical evidence from Boston’s Route 128 and Spain.
    [24] Ikujiro Nonaka. Ryoko Toyama and Noboru konno [J] . SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation. Long Range Planning 33 (2000) :5-34.
    [25] MG Taylor corporation. 10-Step knowledge work process or 10-Step knowledge management. November 1, 1996.
    [26] Linger, Henry,etc. Learning in organizational memory systems: An intelligent decision support perspective. Proceedings of the Hawaii International Conference on System Sciences, Collaboration Systems and Technology Track 1998,1(1): 200-208.
    [27] Alison Hayman, Tony Elliman. Human elements in information system design for knowledge worker.International Journal of information management.2000,(20): 297-309.
    [28]詹永照,窦万峰等.基于共享对象划分的工作空间感知处理模型[J].计算机研究与发展, 2000,37 (3):352-358.
    [29] Lewis,Kyle. Knowledge and performance in knowledge-worker teams: A longitudinal study of transactive memory systems[J] .Management Science,2004,50(11):1519-1533.
    [30] Appelt, Wolfgang, Busbach, Uwe. BSCW system: a WWW-based application to support cooperation of distributed groups[J]. Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WET ICE, 1996:304-309.
    [31] Janz, Brian D. Best and worst of teams: self-directed work teams as an information systems development workforce strategy[J]. Proceedings of the ACM SIGCPR Conference, 1998:59-67.
    [32] Spain, David R. To improve quality in R&D, improve the team work process. Research, Technology Management, 1996, 39( 4):42-47.
    [33] Okkonen,Jussi. Howvirtuality affects knowledge work: Points on performance and knowledge management. International Journal of Networking and Virtual Organisations, 2004,2(2): 153-161.
    [34]丁荣贵.以知识工作者为核心的项目团队的能力整合研究[J].理论学刊,2005,(11).
    [35]吴志明,武欣.知识工作团队的领导有效性实证研究[J].科技管理研究,2005,(11):104-106.
    [36]于立宏,郁义鸿.知识团队自我激励有效性研究[J].科学学与科学技术管理,2005,(2):105-111.
    [37]黎志锋,朱婧.知识团队的绩效控制与评价[J].人力资源,2004,(7):54-55.
    [38] Stary, Chris. TADEUS: seamless development of task-based and user-oriented interfaces[J]. Systems and Humans,2000, 30(5):509-525.
    [39] Aar?s A., Horgen G., etc. Musculoskeletal, visual and psychosocial stress in VDU operators before and after multidisciplinary ergonomic interventions[J]. Appl. Ergon,1998, 29 (5):335-354.
    [40]崔艳青,沈模卫等.语音超文本界面设计中的工效学问题[J].人类工效学,2003, 9(2): 48-50.
    [41] Tambe.L,Johnson.J.Human-Computer Studies, 1998 , (48):105-124.
    [42] J.Z. Herna?ndeza, J.M. Serrano. Recective knowledge models to support an advanced HCI for decISion Management[J]. Expert Systems with Applications, 2000, (19): 289-304.
    [43] Hillriege,D.Slocum,J.w.&Woodman,R.W.Organizational behavior(nintheduition)[M]. USA: South-Western College Publishing,2001.
    [44]陈刚,吴刚等.人机界面自适应机制的设计和实现[J].软件学报,1998,9(10):748-754.
    [45]舒志龙,陆俊.基于视觉的感知用户界面(VBPUI)研究[J].中国图象图形学报,2000,5 (8):683-687.
    [46]德鲁克.21世纪的管理挑战[M].刘玲,译.上海:三联书社,2000:20-21.
    [47] P.F.Drucker. Knowledge-Worker Productivity:The Biggest Challenge[J]. California Management Review, 1999,41,(2):79-95.
    [48]黄卫国,宣国良.关于知识工作者生产率测评研究[J].中国人力资源开发,2006,(5):12-16.
    [49] Najjar Y M, Basheer I A, Hajmeer M N. Computational neural networks for predictive microbiology: methodology[J]. International Journal of Food Microbiology,1997,34(1): 27-49.
    [50]沈麟.流程再造一解决知识工作生产率问题的尝试[J].山东纺织经济,2006,(1):31-34.
    [51]王有刚.提高知识工作者绩效的途径[J].经济研究参考,2006,(56):29-32.
    [52] Okogbaa O G, Shell R L. On the investigation of the neurophysiological correlates of knowledge worker mental fatigue using the EEG signals [J]. Applied Ergonomics, 1994, 25(6): 355-365.
    [53] Atman C J, Chimka J R, Bursic K M, at el. A comparison of freshman and senior engineering design processes [J]. Design Studies, 1999, 20(2): 131–152.
    [54]舒晓兵.管理人员工作压力与工作效率的影响研究[J].南开管理评论, 2006, 9(3): 44-49.
    [55] Yerkes R, Dodson J. The relation of strength of stimulus to rapidity of habit-formation [J]. Journal of Comparative and Neurological Psychology, 1908, (18): 459-482.
    [56]许小东,孟晓斌.工作压力:应对与管理[M].北京:航空工业出版社, 2004: 70-78.
    [57]启彦.知识工作者的生产力六要素[J].中国电力企业管理,20024)page 5.
    [58] Anonymous. Fair process is critical in knowledge work[J]. Harvard Business Review,2003 (81):133-139.
    [59]马立荣,肖洪钧.知识工作者的激励机制设计[J].大连理工大学学报(社会科学版),2001,22 (1):25-28.
    [60]张望军,彭剑.中国企业知识型员工激励机制实证分析[J].科研管理, 2001,22(6):90-96.
    [61]肖光强.如何管理知识型员工[J].组织与人事.
    [62]丁杰.知识员工的绩效特征及影响因素与考评策略[J].技术经济与管理研究. 2007. 3.
    [63]张兰霞,张燕,王俊.知识型员工胜任力的评价指标与方法[J].东北大学学报(自然科学版). 2006. 8.
    [64]过文俊.创新精神与团队协同[J].2005.11.
    [65]郭丽莎.换一个角度看团队协作[J].论坛,2006:66-67.
    [66]吴其伦,卢丽娟,钱刚毅.项目团队协同的三阶段[J].科技进步理论与管理,2004.477-79.
    [67]王艳秋.项目团队协同力考核与激励——以军工科研院所为例[J].
    [68]李玲.浅谈企业的团队精神[J].邯郸职业技术学院学报,2009.3,22(1):21-23.
    [69]薛晓斐.论企业团队精神的培养[J].理论学习与探索,2007.2:80-81.
    [70] Tian, Feng , Li, Renhou, etc. Modeling and performance evaluation of collaborative works based on timed colored Petri net[J]. Journal of Xi'an Jiaotong University, 2003,37(6):560-564.
    [71] Xie Yunlong,Gavriel. Awareness support for asynchronous engineering collaboration[J]. Human Factors and Ergonomics In Manufacturing, 2003, 13(2): 97-113.
    [72] Ma Zhiliang,Yao Jungan,etc. Collaborative work model for urban road management in an electronic commerce environment[J]. Journal of Tsinghua University, 2002, 42 (6): 851-854.
    [73] Mao Bing,Xie Li. An object-based model for cooperative computing[J]. Science in China.Series E: Technological Sciences, 1998, 41(1):4-30.
    [74] Okkonen J. How virtuality affects knowledge work: points on performance and knowledge management [J]. International Journal of Networking and Virtual Organisations, 2004, 2(2): 153-161.
    [75]孙锐,李海刚.基于知识创新的知识团队研究[J].科研管理, 2006, 27(6): 92-96.
    [76]詹永照,窦万峰,李成锴,等.基于共享对象划分的工作空间感知处理模型[J].计算机研究与发展, 2000,37 (3):352-358.
    [77]莫蓉,李伟刚,常智勇,等.复杂产品协同开发支撑环境的研究与实现[J].计算机集成制造系统,2003, 9(专刊): 10-14.
    [78] Savage C M. Fifth generation management: co-creating through virtual enterprising, dynamic teaming, and knowledge networking [M]. Boston: Butterworth-Heinemann, 1996.
    [79]彼得·圣吉著,郭进隆译.第五项修炼:学习型组织的艺术与实务[M].上海:上海三联书店,1998:167-307.
    [80] Wade M R, Parent M. Relationships between job skills and performance: a study of webmasters [J]. Journal of Management and Information Systems, 2002(18): 71-95.
    [81]孙继伟.论知识工作者和知识工作的改进[J].复旦学报(社会科学版),1998,(3):24-28.
    [82]邝宁华,胡齐英,杜荣.知识型企业的“引导-服务-激励型”管理模式[J].管理科学学报,2004, 7(5):91-99.
    [83]芮明杰,樊圣君.“造山”:以知识和学习为基础的企业的新逻辑[J].管理科学学报,2001,4(3):14-25.
    [84]钱亚东,顾新建,马军,等.支持协同设计的知识管理研究[J].浙江大学学报(工学版), 2007, 41(2): 304-310.
    [85] Garvey W, Lin N, Nelson C E. Some comparisons of communicational activities in the physical and social sciences [C] // Nelson C, Pollock D. Communication among Scientists and Engineers. Lexington, MA: D C Heath, 1970: 61-84.
    [86] Christopher W F. How to measure and improve the productivity in professional, administrative, and service organizations [C] // Annual International IE Conference. Norcross, GA, 1984.
    [87] Thomas B E, Baron J P. Evaluating knowledge worker productivity: literature review [R]. USACERL Interim Report FF-94/27, 1994.
    [88] Paradi J C, Smith S, and Schaffnit C C. Knowledge worker performance analysis using DEA: an application to engineering design teams at Bell Canada [J]. IEEE Transactions on Engineering Management, 2002, 49(2): 161-172.
    [89] Brisley C L, Fielder W J. Unmeasurable output of knowledge/office workers can and must be measured [J]. Industrial Engineering, 1983, 15(7): 42-47.
    [90] Ray P K, Sahu S. The measurement and evaluation of white-collar productivity [J]. International Journal of Operations & Production Management, 1989, 9(4): 28-47.
    [91] Bok H S, Raman K S. Software engineering productivity measurement using function points: a case study [J]. Journal of Information Technology, 2000, 15(1): 79-90.
    [92] Wrigley C D, Dexter A S. A model for measuring information system size [J]. MIS Quarterly, 1991, 15(2): 245-257.
    [93] Bumbarger W B. Operation function analysis: do it yourself productivity improvement [M]. New York: Van Nostrand Reinhold, 1984.
    [94]廖建桥.论事务性脑力劳动者工作量的测定[J].工业工程与管理, 1997, 2(6): 24-27.
    [95]廖建桥,李震,田勇军.脑力劳动必要时间的一项调查[J].工业工程, 2004, 7(1): 34-38.
    [96] Jones E C, Chung C A. A methodology for measuring engineering knowledge worker productivity [J]. Engineering Management Journal, 2006, 18(1): 32-38.
    [97]祁国宁,戴国忠,熊光楞等.面向21世纪的CIMS总体技术发展战略.机电工程. 1999, (5): 8-10.
    [98]汪应洛.面向21世纪的生产模式及其管理.西安交通大学学报. 1997, 31(增刊I):1-4
    [99]汪应洛,孙林岩,黄映辉.先进制造生产模式与管理研究.中国机械工程. 1997, 8(2): 63-73
    [100]王志杰,赵象元,李楠,刘飞.面向知识经济时代现代制造模式的比较研究.机械与电子. 1999, (3): 30-32
    [101]杨世春,杨甫勤.先进制造技术[J].山西机械,2001.12,4:1-3.
    [102]王瑛.机械制造技术的发展现状研究[J].安徽建筑工业学院学报,2004:40-41.
    [103]邵立,钟廷修,严隽琪,马登哲.虚拟制造环境与仿真[J].中国机械工程,2000.8:919.
    [104]宋海生.面向敏捷制造的制造执行系统研究[J].河北科技大学学报,2002,23(3):35-39.
    [105]余彬海,陈幼平,周祖德.面向柔性制造环境的多模型故障诊断系统[J].高技术通讯,1999.10:10-11.
    [106]刘志娟.面向新制造环境下的成本管理体系[J].郑州航空工业管理学院学报,2002.9:19.
    [107]何彦.面向绿色制造的制造加工系统任务优化调度方法研究[J].
    [108]张华,刘飞,梁洁.绿色制造的体系结构及其实施中的几个战略问题探讨[J].计算机集成制造系统,1997.4:11-12.
    [109]李晓雷.电子商务企业信息资源管理机制研究[J].内蒙古财经学院学报,2009,7(5)134-136.
    [110]张美霞.论现代制造环境对企业成本管理的影响[J].
    [111]赫尔曼·哈肯.协同学—大自然构成的奥妙[M] .凌复华译.上海:上海世纪出版集团, 2005.
    [112]王艳秋,苗建军.项目团队协同力模型研究[J].科技进步与对策,第24卷第9期,2007年9月.
    [113]于博.以组织变革的方式实现知识工作效率的提升[J].行业观察,2008,6:11-13.
    [114]尧传华,金晓春.规划项目协同管理的价值和意义[J].规划师,2006,22(12):19-21.
    [115]杨小凯著,张定胜,张永生,李利明译.经济学:新兴古典与新古典框架[M].社会科学文献出版社, 2003.
    [116] Paul A.Samuelson,William D.Nordhaus.《经济学》(第十八版)[M].肖琛译.人民邮电出版社,北京.
    [117] McGrath J.E. Social psychology: A brief introduction[J]. New York: Holt, Rinehart & Winston, 1964
    [118] Kochan, T., et al. The Effects of Diversity on Business Performance: Report of the Diversity Research Network[J]. Human Resource Management, 2003, 42:3-21.
    [119] Argote, L., & Mcgrath, J.E. 1993. Group processes in organizations: Continuity and change. In C.L. Cooper and I.T. Robertson(Eds.), International review of industrial and organizational psychology(Vol.8). New York: John Wiley & Sons, pp. 333-389.
    [120] Jackson, S.E., May, K.E., & Whitney, K. 1995. Understanding the dynamics of diversity in decision making teams. In Guzzo, R.A., Salas, E., & Associates(Eds.), Team effectiveness and decision making in organizations. San Francisco: Jossey-Bass, pp. 204-261.
    [121] Campion, Medsker, & Higgs, Relations between work group characteristics and effectiveness.
    [122] Morrill, G. 1995. The executive way. Chicago: University of Chicago Press.
    [123] Mullen & Copper, The relationship between group cohesiveness and performance.
    [124] Seashore, S.E. 1954. Group cohesiveness in the industrial work group. Ann Arbor: University of Michigan, Institute for Social Research.
    [125] Gully, S.E., Devine, D.J., & Whitney, D.J. 1995. A meta-analysis of cohesion and performance: Effects of levels of analysis and task interdependence[J]. Small Group Research, 26: 197-520.
    [126] Zajonc, R.B. 1980. Compresence. In P.B. Paulus (Ed.), Psychology of group influence[J]. Hillsdale, NJ: Erlbaum, pp. 35-60.
    [127] Cottrell, N.B. 1972. Social facilitation. In C.G. McGlintock(Ed.), Experimental social psychology. New York: Holt, Rinehart, & Winston, pp. 185-236.
    [128] Bond, M.H., & Titus, L.J. 1983. Social facilitation: A meta-analysis of 241 studies. Psychological Bulletin, 94: 265-292.
    [129] Latane, B. Williams, K., & Harkins, S. October 1979. Social loafing. Psychology Today, 13: 104-110.
    [130] Poter, L., Lawler, E., III, and Hackman, J. 1975. Behavior in Organizations. New York: McGraw-Hill, p. 373.
    [131] George Prince,“Recognizing Genuine Teamwork,”Supervisory Management, April 1989, pp. 25-36; K. D. Benne and P. Sheats.(1948).“Functional roles of group members.”Journal of Social Issues 4:41-49; and R.F.Bales, SYMOLOG Case Study Kit(New York: Free Press, 1980).
    [132] Drucker. P. E. Managing in a time of great change [M]. New York: Truman Talley Books, 1995.
    [133] Cooper, R.G. The New Product System: The Industry Collaborative Experience. Journal of Product Innovation Management, 1992, 9(2):13-123
    [134] Watson, Warren E., Kamalash Kumar, and Larry K. Michaelsen. Cultural diversity’s impact on interaction process and performance: Comparing homogeneous and diverse task groups [J]. Academy of Management Journal, 1993, 36: 590-602.
    [135] Milliken, E.J., & Martins, L.L. Searching for common threads: Understanding the multiple effects of diversity in organizational groups[J]. Academy of Management Review. 1996, 21(2): 402-433.
    [136] Jackson S. Consequences of group composition for the interpersonal dynamics of strategic issue processing [J]. Advances in Strategic Management. 1992, 8: 345-382.
    [137] Nunnally J. Psychometric Theory. Second Edition, McGRAW-HILL,1978
    [138]王茜.农业产业化龙头企业绩效评价研究[D].中国农业科学院研究生院,2009:35-37.
    [139]徐佩.软件研发项目团队有效性研究[D].河海大学. 2006:60-61.
    [140]周海林.可持续发展指标及其确定方法的探讨[J].中国环境科学. 1999, (3): 18-21.
    [141]王艳秋.项目团队协同力考核与激励[D].南京:南京航空航天大学,2006:14-15.
    [142]王茜.农业产业化龙头企业绩效评价研究[D].中国农业科学院研究生院,2009:52-53.
    [143]李韩房.中国电力市场绩效评价指标体系及评价模型研究[D].华北电力大学,2008:44-45
    [144]黄朝峰.基于模糊DEA的高校办学效益评价方法及应用研究[D].长沙:国防科学技术大学. 2005: 32-35.
    [145]盛昭瀚,朱乔,吴广谋. DEA理论、方法、与应用[M].北京:科学出版社,1996.
    [146]谢季坚,刘承平.模糊数学方法及其应用[M].武汉:华中科技大学出版社,2003.
    [147] Buckley J J. Possibilistic linear programming with triangular fuzzy parameters (short communication)[J]. Fuzzy Sets and Systems, 1988, 26: 135一138.
    [148] Buckley J J. Solving possibilistic linear programming problem[J]. Fuzzy Sets and Systems, 1989, 31:329-341.
    [149] Julien B. An Extension to Possibilistic Linear Programming[J]. Fuzzy Sets and Systems, 1994, 64: 195-206.
    [150] Yager R R. A procedure for ordering fuzzy subsets of the unit interval. Information Science, 1981, 24(2): 143-161.
    [151]黄宪成.模糊多目标决策理论、方法及其应用研究[D].大连:大连理工大学,2003:11-12.
    [152]盛昭瀚,朱乔,吴广谋. DEA理论、方法、与应用[M].北京:科学出版社,1996.
    [153] C. Clay Dibrell & Thomas R. Miller, Organization design: the continuing influence of information technology, Management Decision, 40/6 [2002], 620-627.
    [154]汪海军,张玉柱.信息技术与企业再造的关系研究[J].软科学,2002,(2).

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700