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Issue title: Applied Mathematics Related to Nonlinear Problems
Guest editors: Juan L.G. Guirao and Wei Gao
Article type: Research Article
Authors: Yuan, Yuana | Liming, Zhanga | Rui, Zhoua | Du, Siyuanb; c; * | Yang, Jiruic
Affiliations: [a] Business school, Sichuan University, Chengdu, China | [b] Research Center for Smart Tourism Technology Application and Innovation of Sichuan Tourism University, Chengdu, China | [c] Economics School of Southwestern University of Finance and Economics, Chengdu, China
Correspondence: [*] Corresponding author. Siyuan Du, Research Center for Smart Tourism Technology Application and Innovation of Sichuan Tourism University, Chengdu, PO Box 610100, China. Tel.: +86 28 84825038; E-mail: 405460835@qq.com.
Abstract: Innovation is the effective weapon for enterprises to face complicated dynamic environment, and to obtain long-term competitive advantages. Organization innovative climate can promote enterprises’ innovative capability and performance through affecting individual staff attitude, motivation and innovative activities. Therefore, by evaluating organization innovative climate of enterprises with scientific methods, weak points can be discovered and adjusted, so promotion of organization innovative climate is the essence of maintaining enterprises’ innovative energy. Based on domestic and overseas scholars’ research, this paper illustrates new quantitative evaluation method: enterprises’ organization innovative climate on the basis of intuitionistic fuzzy number. Indicators are scored through newly constructed evaluation indicator system. Scores of enterprises’ organization innovative climate are obtained through the calculation of intuitionistic fuzzy number. This model which is more scientific and completed, avoids the awareness of much evaluation information. And it enriched enterprises’ organization innovative climate evaluation theory and methods. At last, the feasibility and practicability of the approach introduced are proved through empirical analysis.
Keywords: Intuitionistic fuzzy number, organizational innovative climate, evaluation
DOI: 10.3233/JIFS-169359
Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 3079-3086, 2017
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