izvorni znanstveni rad
Companies engage in mergers and acquisitions (M&A) for several strategic reasons, aiming to enhance their competitive position and create value. Moreover, the research area of M&As has been a significant research topic in scholarly literature. The extensive body of work on M&As reflects their importance as a strategy for corporate growth, market expansion, and value creation. There is a growing interest in efficiency measurement and evaluation of these transactions. In this context, this study aims to examine the increasing literature on M&A
efficiency evaluation, with the application of the leading non-parametric DEA methodology. Utilizing a bibliometric tool and quantitative approach, the research identifies patterns and trends in publications globally. The key terms “DATA ENVELOPMENT ANALYSIS” and
“MERGERS AND ACQUISITIONS” were used for the search of one of the most renowned global scientific databases, namely the Web of Science databases with no limitation to the date of publication. The findings of the study reveal the annual scientific production, most relevant authors, top-cited and most relevant sources, most relevant affiliations, and thematic map of themes that are mostly tackled and associated with the application of DEA in M&As. The knowledge and publications synthesis could help highlight the implications of the DEA application and development in the M&As research area, thus serving as a foundation for policymakers, practitioners, and researchers navigating the evolving application of DEA methodology in research M&As’ efficiencies.
data envelopment analysis, mergers and acquisitions; bibliometric study; literature review.
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