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Dataset Information

The impact of serial mergers and acquisitions on enterprises' total factor productivity: The mediating role of digital transformation.


ABSTRACT:

Research background

M&A (Mergers and acquisitions) is a strategic measure for enterprises to expand their scale, enhance their competitiveness and improve productivity in the market competition. As a new factor of production, data is changing the factor input model and value creation path of enterprises.

Research objectives

From the perspective of serial M&A, this study explores the impact of serial M&A on enterprises' TFP (total factor productivity) and the mechanism of digital transformation between them.

Research methods

Take the serial M&A transactions of China's A-share listed companies from 2010 to 2019 as samples, using the theory of organizational learning to analyze the relationship among serial M&A, enterprises' TFP and the degree of digital transformation.

SUBMITTER: Tan L 

PROVIDER: S-EPMC11578476 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature