Enterprise Digital Transformation, Dynamic Capabilities, and ESG Performance: Based on Data From Listed Chinese Companies

Lan Zhang; Yuwei Ye; Zixuan Meng; Ning Ma; Chia-Huei Wu

doi:10.4018/JGIM.335905

Author(s)

Lan Zhang
Yuwei Ye
Zixuan Meng
Ning Ma
Chia-Huei Wu

Related Research Unit(s)

Department of Information Systems

Detail(s)

Original language	English
Number of pages	20
Journal / Publication	Journal of Global Information Management
Volume	32
Issue number	1
Publication status	Published - 2024

Link(s)

DOI	DOI https://doi.org/10.4018/JGIM.335905 Final Published version
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Attachment(s)	Documents 221472789.pdf Final Published version, 548 KB, PDF Publisher's Copyright Statement This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85182887827&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(a5a3eac9-af6c-461d-900d-bc9650106010).html

Abstract

Digital transformation improves the operational efficiency and perceptual capabilities of businesses and creates a foundation for fulfilling ESG responsibilities. The authors use the theories of technological innovation and dynamic capabilities and select a sample of 4054 listed companies with commercial integration of ESG rating data to explore the mechanisms through which digital transformation affects ESG performance. Dynamic capabilities are further divided into innovation changeability (IT), coordination integration capability (CI), and learning absorption capability (LA) to investigate the mediating effects and summarize the causal path of “digital transformation - dynamic capabilities - ESG performance.” The research focuses on the impact of digital technology on ESG performance with the aim of helping businesses utilize technology more effectively to build dual competitive advantages in digitization and ESG. © 2024 IGI Global.

Research Area(s)

Digital Transformation, Dynamic Capabilities, ESG

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).