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Corporate diversification, firm productivity and resource allocation decisions: The data envelopment analysis approach

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  • Ruixue Jiang
  • Yi Yang
  • Yao Chen
  • Liang Liang

Abstract

Corporate diversification has been an important research topic in the field of business administration. Although it is regarded as an essential strategy for firms, its relationship with firm performance seems inconclusive in the literature. To fill this gap, our study uses data envelopment analysis (DEA) to develop models that help diversified firms more accurately calculate productivity at both the firm and its business segment levels, and then reallocate resources among business segments in order to achieve better firm overall performance. We empirically test the models using a sample of U.S. public firms for a period of 2012–2016. The results show that in comparison with two conventional DEA models, our model provides more useful productivity expression for diversified firms, and that the model-suggested resource reallocation is linked to better firm performance.

Suggested Citation

  • Ruixue Jiang & Yi Yang & Yao Chen & Liang Liang, 2021. "Corporate diversification, firm productivity and resource allocation decisions: The data envelopment analysis approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(5), pages 1002-1014, May.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:5:p:1002-1014
    DOI: 10.1080/01605682.2019.1568841
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    Cited by:

    1. Yu Zhu & Feng Yang & Bengang Gong & Wei Zeng, 2023. "RETRACTED ARTICLE: Assessing the efficiency of innovation entities in China: evidence from a nonhomogeneous data envelopment analysis and Tobit," Electronic Commerce Research, Springer, vol. 23(1), pages 175-205, March.

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