Abstract
This research is to discuss management strategies selection and enterprise life cycle periods referencing fuzzy proximity from fuzzy set theory and based on the current development situation of enterprises in China. First, this paper measures the degree of proximity for eight kinds of management strategies and different enterprise life-cycle periods (the pioneering period, growth period, maturity period and recession period) using a fuzzy proximity vector. The eight management strategies include management idea innovation, management organization innovation, management method innovation, management culture innovation, management institution innovation, market innovation, business model innovation and performance management innovation. Second, this paper analyzes management innovation strategies in different enterprise life cycle periods, and verifies the consequences using an example of the developmental history of one engine manufacturing enterprise since 1997. Several conclusions can be drawn from this research: (1) The frame model of management innovation strategies in the enterprise’s life cycle is both reasonable and convincing as a reference for management innovation strategies selection when enterprises are developing. (2) The fuzzy proximity method can be applied to research where a management innovation strategy during a particular life cycle needs to be selected. Therefore, this research extends the application and scope of the fuzzy proximity method.
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Acknowledgements
This research work are supported by the Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi No. 2016(39), the Humanities and Social Science Foundation of Ministry of Education of China (15YJC630016), and National Natural Science Foundation of China under Grant No. 71071107. We would like to acknowledge spirit support of Research Assistant Center, Show Chwan Health Care System.
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Jing, S., Yang, Y., Ho, ZP. et al. The development of a frame model for management strategies selection using fuzzy proximity. Cluster Comput 20, 141–153 (2017). https://doi.org/10.1007/s10586-017-0739-1
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DOI: https://doi.org/10.1007/s10586-017-0739-1