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Impact of the Power Allocation of Board of Directors on the Sustainable Growth Based on the DEA/AHP Model

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International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 (ATCI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1017))

Abstract

Focusing on the relationship among the power level of the board of directors, the strategic resource allocation changes and the corporate performances, this paper holds that the strategic resource allocation changes are one of the important channels through which the power level of the board of directors affects the corporate strategy, and their impact is restricted by the size of the organization, while there is a non-linear relationship between the strategic resource allocation changes and the corporate performances. The empirical research finds that the concentration of the board power level has a significant positive impact on the strategic resource allocation change of the company, and the larger the enterprise scale, the smaller the impact of the concentration of the board power on the strategic resource allocation change of the company. The further research finds that there is an inverted U-shaped relationship between the strategic resource allocation changes and the corporate performances.

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Acknowledgment

Foundation Project: This paper is supported by the scientific research foundation of the action projects for connotation promotion of Auhui Finance and Trade Vocational College in 2017: Research on the Impact of the Board Power Allocation on the Sustainable Growth – A Case Study of the State-owned Enterprises in Manufacturing Industry, Item No.: 2017nhrwb01.

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Correspondence to Henian Song .

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Song, H. (2020). Impact of the Power Allocation of Board of Directors on the Sustainable Growth Based on the DEA/AHP Model. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_123

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