Strategic Change and the Improvement of Organizational Performance: A Study Based On Meta-Analysis

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Junjie Wu, et al.

Abstract

Objectives: In order to explore the factors that lead to the difference of outcome between strategic change and organizational performance.Methods: This paper takes the correlation coefficient between strategic change and organizational performance as the effect value, and conducts Meta integration analysis and Meta regression analysis on 23 important literatures involving 7225 enterprise samples from 2008 to 2018.Results: Firstly, the meta-integration method is used to estimate the overall results of existing empirical studies. The results show that strategic change is significantly positively correlated with organizational performance. Second, there are too many moderating factors that lead to different conclusions of research on strategic change-organizational performance. Therefore, Meta regression method is used to explore the impact of 10 moderating factors on the relationship between the two. First, positive strategic change has a better moderating effect; Second, compared with small and medium-sized enterprises, the performance of strategic change of large-scale enterprises is better; Third, the more recent the year of publication, the less supportive the relationship between strategic change and organizational performance; Fourth, there is no significant difference between data types and the relationship between strategic change and organizational performance, but data time span has a significant negative moderating effect.Conclusions: This study shows that the quantitative literature study of meta analysis not only helps to resolve the existing theoretical disputes, but also helps to explore new theoretical studies in the context of COVID-19 epidemic in the future, meanwhile, it also provides a novel framework for quantitative literature analysis.

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How to Cite
et al., J. W. (2021). Strategic Change and the Improvement of Organizational Performance: A Study Based On Meta-Analysis. CONVERTER, 153-168. https://doi.org/10.17762/converter.275
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