Analysis and Evaluation of Independent Innovation Capability of Military Industrial Enterprises

Operations Research and Management Science ›› 2013, Vol. 22 ›› Issue (3): 139-145.

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Analysis and Evaluation of Independent Innovation Capability of Military Industrial Enterprises

YIN Hang^1,2, SHI Guang³, LI Bai-zhou¹

1. School of Economic and Management, Harbin Engineering University, Harbin 150001, China;
2. School of Economic and Management, Tsinghua University, Beijing 100084, China;
3. School of Economics Shandong University, Jinan 250100, China

Received:2010-06-14 Online:2013-06-25

基于Entropy-Topsis模型的军工企业自主创新能力分析与测评

尹航^1,2, 石光³, 李柏洲¹

1.哈尔滨工程大学经济管理学院,黑龙江哈尔滨 150001;
2.清华大学经济管理学院,北京 100084;
3.山东大学经济学院,山东济南 250100

作者简介:尹航(1979-),男,山东肥城人,副教授,博士,博士后,研究方向:创新管理。
基金资助:
国家自然科学基金(71002048);教育部博士点基金(2010230412 0017);教育部人文社会科学基金(09YJC630048);中国博士后科学基金(20110491035);哈尔滨工程大学中央高校基本业务经费项目(HEUCF120901)

Abstract

Abstract: To improve independent innovation capability and strengthen core-competitiveness, milliary industrial enterprises must bring forth a new developmental idea, establish a mutual innovation goal and tansform a technological developmental mode. This article deeply analyzes independent innovation's present status, finds out influencing factors, sets up measuring indexes, establishes evaluationg method, and evaluates independent innovation capability of milliary industrial enterprises so as to provide administrative referencs for improving independent innovation capabiliy of milliary industrial enterprises.

Key words: milliary industrial enterprise, independent innovation capability, indexes system, entropy-topsis model

摘要： 军工企业要提高自主创新能力、努力增强核心竞争力,必须明确地定位创新型企业的发展目标,转型升级军工企业的科技创新模式。本文基于军工企业的自主创新特征,剖析自主创新能力的影响因素,从研发能力、生产能力、投入能力、成果能力和管理能力等视角设置测评指标,建立Entropy-Topsis评价模型,继而测评25个典型军工企业的自主创新能力,验证测评指标和评价模型的科学性和适用性。

关键词: 军工企业, 自主创新能力, 指标体系, Entropy-Topsis模型

CLC Number:

F062.4
F224

YIN Hang, SHI Guang, LI Bai-zhou. Analysis and Evaluation of Independent Innovation Capability of Military Industrial Enterprises[J]. Operations Research and Management Science, 2013, 22(3): 139-145.

尹航, 石光, 李柏洲. 基于Entropy-Topsis模型的军工企业自主创新能力分析与测评[J]. 运筹与管理, 2013, 22(3): 139-145.

References

[1] 刘崇权.“军转民”中的人力资源结构调整[J].中国军转民,2004,(10):45-47.
[2] Molas-Gallart,Which way to go? Defense technology and the diversity of Dual-use technology transfer [J].Research Policy, 1997,(26): 367-385.
[3] T L Saaty. Multi-criteria decision making[M]. RWS Publications, Pittsburgh, PA, 1990.
[4] Thomas L·Saaty.Fundamentals of the Analytic Network Process-Dependence and Feedback in Decision-Making with a single network[J].Journal of Systems Science and Systems Engineering,2004, 113(2): 129-157.
[5] 刘云.国防科技工业整体素质、科技基础能力和核心竞争力研究[J].北理工大学学报,2006,26:167-171.
[6] 李伯亭.国外推动寓军于民的主要做法[J].中国军转民,2007,(1):39-41.
[7] 染恩杰.加强制造技术创新,促进军工制造业发展[J].国防科技工业,2003,(8):10-12.
[8] 孔详富.日本的国防产业[J].现代日本经济,2003,129(3):42-44.
[9] 刘卿,胡迎春.印度国防工业发展的策略选择[J].南亚研究季刊,2003,(2):47-51.
[10] 韩瑞平.军工企业技术创新机制探索[J].中国核工业,2004,(2):37-40.
[11] 马康.国防科研院所军转民技术创新组织模式研究[J].中国军转民,2004,(11):12-13.
[12] 夏国洪.突破军转民企业的发展障碍[J].国防科技工业,2004,(4):52-53.
[13] 国家计委产业发展研究所课题组.我国军转民发展战略和政策研究[J].中国军转民,2001,(10):4-9.
[14] 李雪.关于航天工业技术创新的思考[J].中国航天,2004,(2):11-14.
[15] 李连宏.国防经济动员中的可动员资源管理研究[D].北京理工大学博士学位论文,2006:19.
[16] 尹航,孙希波,傅毓维.基于熵值法确权的科技成果转化项目后评价研究[J].科学学与科学技术管理,2007,28(10):20-25.
[17] 于波涛.基于运行效率评价的林业产业系统脆弱性分析与测度[J].林业科学,2008,44(7):111-117.
[18] 尹航.基于AHP-Entropy方法的科技成果转化绩效评价[J].运筹与管理,2007,12:111-117.
[19] Sun-Jen Huang, Nan-Hsing Chiu, Li-Wei Chen. Integration of the grey relational analysis with genetic algorithm for software effort estimation[J]. European Journal of Operational Research, 2008, 188(3): 898-909.

Analysis and Evaluation of Independent Innovation Capability of Military Industrial Enterprises

基于Entropy-Topsis模型的军工企业自主创新能力分析与测评

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