Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2020.1775673
Mergers and acquisitions matching for performance improvement: a DEA-based approach
Yang Lin
Ying-Ming Wang
Hai-Liu Shi
Sažetak
This article proposes a new data envelopment analysis (DEA)-based
approach to deal with mergers and acquisitions (M&As) matching.
To derive reliable matching degrees between bidder and target
firms, we consider both technical efficiency and scale efficiency.
Specifically, an inverse DEA model is developed for measuring the
technical efficiency, while a conventional DEA model is employed to
identify the return of scale of the merged decision-making units
(DMUs). Then, an optimization model is formulated to generate
matching results to improve DMUs’ performance. An empirical study
of M&As matching Turkish energy firms is examined to illustrate the
proposed approach. This study shows that both technical efficiency
and scale efficiency have impacts on M&As matching practices.
Ključne riječi
Mergers and acquisitions; two-sided matching; inverse DEA; technical efficiency; returns to scale
Hrčak ID:
254721
URI
Datum izdavanja:
9.2.2021.
Posjeta: 637 *