Can data assetization drive high-quality enterprise development?—Evidence from China’s “Specialized, refined, unique, and innovative” SMEs

6Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Data assetization empowers the high-quality development of “Specialized, Refined, Distinctive, and Innovative” (SRDI) small and medium-sized enterprises (SMEs) by enhancing organizational performance and driving innovation. Based on this, this study selects SRDI SMEs in China from 2013 to 2023 as samples. It constructs a keyword graph spectrum based on enterprise annual report texts to quantitatively assess the level of data assetization and investigates whether data assetization can facilitate the high-quality development of these SMEs. The research findings indicate that: (1) data assetization significantly contributes to the high-quality development of SRDI SMEs, primarily through two mechanisms—enhancing strategic differentiation and improving resource allocation efficiency; (2) the robustness of these findings is confirmed through a series of tests, including alternative specifications of dependent variables, inclusion of additional control variables, subsample analyses, and the exclusion of potential confounding factors; (3) further analysis grounded in the TOE (Technology–Organization–Environment) framework demonstrates that the positive impact of data assetization is amplified by firm-level innovation capacity, customer relationship strength, regional characteristics, and the extent of enterprise digital finance development. This study contributes to advancing the understanding of how data assetization influences the high-quality development of SRDI SMEs, offering a theoretical foundation for future research in this domain.

Cite

CITATION STYLE

APA

Li, L., & Zhu, J. (2025). Can data assetization drive high-quality enterprise development?—Evidence from China’s “Specialized, refined, unique, and innovative” SMEs. PLOS ONE, 20(11 November). https://doi.org/10.1371/journal.pone.0335903

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free