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Issue title: Cross-domain Applications of Fuzzy Logic and Machine Learning
Guest editors: Ekaterina Isaeva and Álvaro Rocha
Article type: Research Article
Authors: Qin, Yuanjian | Yang, Jie; *
Affiliations: School of Management, Wuhan University of Technology, Wuhan, Hubei, China
Correspondence: [*] Corresponding author. Jie Yang, School of Management, Wuhan University of Technology. Tel.: +86 027 84526537; E-mail: [email protected].
Abstract: Enterprise innovation (EI) has become an important means to promote the sustainable development of enterprises in the new era. This study aims to explore the multiple concurrent factors and causal complex mechanism of the configuration effect of five conditions in the environmental and organizational levels and their influence on the differences in EI activity. Taking 20 information technology enterprises as case samples, this study uses the qualitative comparative analysis method of fuzzy sets. The main conclusions are as follows: (1) The ability to identify opportunity is the necessary condition affecting the high innovation activity of enterprises; the lack of internal innovation culture, the low innovation activity. (2) The driving mechanism of high EI activity can be divided into three paths, and the different configurations of the five factors can produce many paths to achieve such activity. (3) The driving mechanism of low EI activity can be divided into two paths, and it has an asymmetric causal relationship with the driving mechanism of high EI activity. This study is helpful in expanding the innovation perspective of environment and organization matching. This study also provides enterprises with valuable enlightenment to effectively stimulate innovation vitality.
Keywords: Configuration effect, environment factors, organization factors, enterprise innovation, fsQAC
DOI: 10.3233/JIFS-179754
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6765-6775, 2020
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