基于直觉模糊的群组DEMATEL决策方法的企业创新能力影响因素评价

doi:10.12066/j.issn.1007-2861.1872

Abstract

Abstract:

This paper establishes an enterprise innovation capacity influencing factor index system from the perspective of innovative ecosystem. The system describes enterprise innovation influencing factors with 15 indicators in 3 dimensions, namely, basic organizing capacity, coordination control capacity, and co-evolution capacity. A DEMATEL decision approach is then developed based on intuitionistic fuzzy preference information, an approach that can be used to get an inner-relationship among the influence factors. Finally, taking an enterprise F as an example, feasibility of the evaluation model is verified.

Key words: innovation ecosystem, enterprise innovation capacity, influencing factors, intuitionistic fuzzy, DEMATEL decision approach

CLC Number:

F273.1

BAO Yuhang, LI Baojun, YU Liying. Influencing factors of enterprise innovation capacity based on group DEMATEL decision approach of intuitionistic fuzzy preference[J]. Journal of Shanghai University（Natural Science Edition）, 2018, 24(5): 819-828.

Figures/Tables 4

References 29

[1]	新华社. 十三五规划: 实施创新驱动发展战略 [EB/OL]. [2016-09-07]. http://cpc.people.com.cn/n1/2016/0305/c64387-28174348.html
[2]	熊彼特. 经济发展理论 [M]. 北京: 华夏出版社, 2015.
[3]	US Council on Competitiveness Innovate America: thriving in a world of challenge and change[R]. Washington DC: US Council on Competitiveness, 2004.
[4]	US Council on Competitiveness Innovate America: national innovation initiative summit and report[R]. Washington DC: US Council on Competitiveness, 2005.
[5]	Alex C, Rekha R. Innovation and firm growth in high-tech quartile regression approach[J]. Research Policy, 2008(7):633-648.
[6]	Casanueva C, Castro I, Galán J L. Informational networks and innovation in mature industrial clusters[J]. Journal of Business Research, 2013,66(5):603-613. doi: 10.1016/j.jbusres.2012.02.043
[7]	Lin R J, Che R H, Ting C Y. Turning knowledge management into innovation in the high-tech industry[J]. Industrial Management & Data Systems, 2012,112(1):42-63.
[8]	Somech A, Drach-Zahavy A. Translating team creativity to innovation implementation the role of team composition and climate for innovation[J]. Journal of Management, 2013,39(3):684-708. doi: 10.1177/0149206310394187
[9]	Hung K P, Chou C. The impact of open innovation on firm performance: the moderating effects of internal R&D and environmental turbulence[J]. Technovation, 2013,33(10):368-380. doi: 10.1016/j.technovation.2013.06.006
[10]	Huang K F, Yu C M J. The effect of competitive and non-competitive R&D collaboration on firm innovation[J]. The Journal of Technology Transfer, 2011,36(4):383-403. doi: 10.1007/s10961-010-9155-x
[11]	Gnyawali D R, Srivastava M K. Complementary effects of clusters and networks on firm innovation: a conceptual model[J]. Journal of Engineering and Technology Management, 2013,30(1):1-20. doi: 10.1016/j.jengtecman.2012.11.001
[12]	Nambisan S, Baron R A. Entrepreneurship in innovation ecosystems: entrepreneurs' self-regulatory processes and their implications for new venture success[J]. Entrepreneurship Theory and Practice, 2012,36(5):32-76.
[13]	曾国屏, 苟尤钊, 刘磊. 从创新系统到创新生态系统[J]. 科学学研究, 2013(1):4-12.
[14]	党国英, 秦开强. 高技术产业的技术创新效率与影响因素——对五大类 23 个分行业的效率分析[J]. 产经评论, 2015(2):15-27.
[15]	朱山丽, 雷丽娟, 贾解放, 等. 高技术产业技术创新影响因素及绩效评价的省际分析[J]. 河南科学, 2016(4):636-640.
[16]	李江雁, 何文龙, 王铁民. 企业创新能力对企业价值的影响——基于中国移动互联网上市公司的实证研究[J]. 经济与管理研究, 2016(4):109-118.
[17]	Chandler A D. Strategy and structure: chapters in the history of the industrial enterprise [M]. Boston: MIT Press, 1990.
[18]	Moore J F. Predators and prey: a new ecology of competition[J]. Harvard Business Review, 1993,71(3):75-83. pmid: 10126156
[19]	Hurst D K. Crisis & renewal: meeting the challenge of organizational change [M]. Boston: Harvard Business Press, 2002.
[20]	Eisenhardt K M, Martin J A. Dynamic capabilities: what are they?[J]. Strategic Management Journal, 2000,21(10/11):1105-1121. doi: 10.1002/(ISSN)1097-0266
[21]	詹姆斯·柯林斯, 杰里·波拉斯. 基业长青 [M]. 北京: 中信出版社, 2009.
[22]	李万, 常静, 王敏杰, 等. 创新 3.0 与创新生态系统[J]. 科学学研究, 2014(12):1761-1770.
[23]	Stacey R. Managing chaos: dynamic business strategies in an unpredictable world[M]. London: Kogan Page, 1992.
[24]	刘樑, 沈焱, 曹学艳. 基于关键信息的非常规突发事件预警模型研究[J]. 管理评论, 2012,24(10):166-175.
[25]	武春友, 陈兴红, 匡海波. 基于Rough-DEMATEL的企业绿色增长模式影响因素识别[J]. 管理评论, 2014,26(8):74-81.
[26]	Zadeh L A. Fuzzy sets[J]. Information and Control, 1965,8(3):338-356. doi: 10.1016/S0019-9958(65)90241-X
[27]	Atanassov K. Intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1986,20(1):87-96. doi: 10.1016/S0165-0114(86)80034-3
[28]	Burillo P, Bustince H. Entropy on intuitionistic fuzzy sets and interval-valued fuzzy sets[J]. Fuzzy Sets and Systems, 2001,118(3):305-316.
[29]	谢晖, 段万春, 孙永河. 基于直觉模糊偏好信息的群组DEMATEL决策方法[J]. 计算机工程与应用, 2014,50(11):33-38.

Influencing factors of enterprise innovation capacity based on group DEMATEL decision approach of intuitionistic fuzzy preference

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References 29

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