基于贝叶斯网络的组织创新影响机制研究

科研管理 ›› 2011, Vol. 32 ›› Issue (5): 61-67,102.

基于贝叶斯网络的组织创新影响机制研究

蒋天颖

浙江工业大学之江学院,浙江杭州 310024

收稿日期:2009-06-16 修回日期:2010-08-19 出版日期:2011-05-27 发布日期:2011-06-14
作者简介:蒋天颖(1976-),男,浙江诸暨人,副教授,博士,研究方向为知识管理、创新管理。
基金资助:
浙江省社科规划课题"浙江中小企业集群知识衍生和扩散研究"(项目编号:09CGGL012YBB)。

The mechanism influencing organizational innovationbased on Bayesian network

Jiang Tianying

Zhijiang College, Zhejiang University of Technology, Hangzhou 310024, China

Received:2009-06-16 Revised:2010-08-19 Online:2011-05-27 Published:2011-06-14

摘要/Abstract

摘要： 组织创新影响机制中各变量具有不确定性与动态性等特点,可以尝试进行贝叶斯网络分析。根据贝叶斯网络的基本原理,构建了基于贝叶斯网络的组织创新影响机制模型,并对复杂贝叶斯网络计算问题的简化问题进行了探讨。实例应用表明,该方法克服了其他传统分析方法局限于线性、静态分析的缺点,较为准确地反映了组织创新影响机制各变量间的动态关系。

关键词: 贝叶斯网络, 组织创新, 影响机制, 动态变化

Abstract: The variables belonging with the organizational innovation influencing mechanism are uncertainty and dynamic, taking Bayesian network as an analytic tool is suitable. An organizational innovation influencing mechanism model is constructed based on Bayesian network according to the basic theory of Bayesian network, and the computing problem about how to simplify the complex Bayesian network is explored. The empirical study shows that the model overcomes the demerits of the original analytic method which is only suitable for linearity and static analysis, and reflects the dynamic relationships of different variables in organizational innovation influencing mechanism.

Key words: Bayesian network, organizational innovation, influence mechanism, dynamic variation

中图分类号:

F273

蒋天颖. 基于贝叶斯网络的组织创新影响机制研究[J]. 科研管理, 2011, 32(5): 61-67,102.

Jiang Tianying. The mechanism influencing organizational innovationbased on Bayesian network[J]. Science Research Management, 2011, 32(5): 61-67,102.

参考文献

[1] Salavou, H. The concept of innovativeness: Should we need to focus[J]. Euopean Journal of Innovation Management, 2004, 7(1):33-44. [2] Glynn, M. A. Innovative genius: A framework for relating individual and organizational intelligences to innovation [J]. Academy of Management Review, 1996, 21 (4): 1081-1111. [3] Andrew,C,Inkpen. Learning through Joint Ventures: A Framework of Knowledge of Acquisition [J]. Journal of Management Studies, 2000, 11: 1019-1043. [4] Paul C. Nystrom, et al. Organizational context, climate and innovativeness: adoption of imaging technology[J]. Journal of engineering and technology management, 2002, 19: 221-247. [5] Fco. Javier Llore ns Montes, et al. Influence of support leadership and teamwork cohesion on organizational learning, innovation and performance: an empirical[J]. Technovation, 2005, 25: 1159-1172. [6] Lale Gumusluoglu, Arzu Ilsev. Transformational leadership, creativity, and organizational innovation[J]. Journal of Business Research,2009, 6(4): 461-473. [7] 罗仲伟,罗美娟.网络组织对层级组织的替代[J].中国工业经济, 2001(6): 23-30. [8] 谢洪明,王琪,葛志良.企业文化、学习与创新绩效的关系研究[J].科学学与科学技术管理, 2007(16): 73-77. [9] 孙锐,王乃静,石金涛.中国背景下不同类型企业组织创新差异实证研究[J].南开管理评论, 2008, 11(2): 42-49. [10] 陈衍泰,何流,司春林.开放式创新文化与企业创新绩效关系的研究:来自江浙沪闽四地的数据实证[J].科学学研究, 2007, 25(3): 567-572. [11] 简兆权,吴隆增,黄静.吸收能力、知识整合对组织创新和组织绩效的影响研究[J].科研管理, 2008, 29(1): 80-86. [12] 肖秦琨,高嵩,高晓光.动态贝叶斯网络推理学习理论及应用[M].国防工业出版, 2007. [13] 张连文,郭海鹏.贝叶斯网引论[M].科学出版社, 2006. [14] 张炜.智力资本与组织创新能力关系实证研究——以浙江中小技术企业为样本[J].科学学研究, 2007, 25(5): 1010-1013. [15] 孙锐,石金涛,张体勤.中国企业领导成员交换、团队成员交换,组织创新气氛与员工创新行为关系实证研究[J].管理工程学报, 2009, 23(4): 109-114. [16] 蒋天颖,张一青,王俊江.战略领导行为、学习导向、知识整合和组织创新绩效[J].科研管理, 2009, 30(6): 48-55. [17] Massimiliano Mazzanti, Paolo Pini, Ermanno Tortia. Organizational innovations, human resources and firm performance: The Emilia-Romagna food sector[J]. Journal of Socio-Economics, 2006, 35(1): 123-141. [18] Shu-hsien Liaoa, Wu-Chen Fei, Chih-Tang Liub. Relationships between knowledge inertia, organizational learning and organization innovation[J]. Technovation, 2008, 28: 183-195. [19] 王晓晖.学习型组织文化的差异与影响研究——基于广东地区国有企业和民营企业样本相比较的实证分析[J].管理世界, 2007(11): 76-86. [20] Jon-Arild Johannessen. Organisational innovation as part of knowledge management[J]. International Journal of Information Management, 2008, 28(5): 403-412. [21] David, Heckerman. Dan, Geiger. David, M, Chickering. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data[J]. Machine Learning,1995, 20: 197-243. [22] Padhraic Smyth. Ef?cient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables[J]. Machine Learning, 1997, 29: 181-212. [23] Cooper G. Computational complexity of probabilistic inference using Bayesian net-works[J]. Artificial Intelligence, 1990, 42(5): 393-405. [24] Chickering, DM. Learning Bayesian networks is NP-Hard . Technical Report, MSR-TR-94-17, Microsoft Research, Redmond, 1994. [25] Nonaka I.. A Dynamic Theory of Organizational Knowledge Creation[J]. Organization Science, 1994, 5(1): 14-37. [26] Alavi M. & Leidner D. Knowledge management and knowledge management systems: Conceptual foundations and research issues[J]. MIS Quarterly, 2001, 25(1): 107-136. [27] 王众托. 知识系统工程[M]. 科学出版社, 2004.