Back to Search Start Over

Peer Effects in Corporate Digital Transformation within Supply Chain Networks

Authors :
Yuchong Hu
Qiyuan Li
Boyi Ma
Tian Lan
Wei Geng
Baohua Li
Source :
Tehnički Vjesnik, Vol 31, Iss 5, Pp 1464-1477 (2024)
Publication Year :
2024
Publisher :
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek, 2024.

Abstract

Digital transformation has become an inevitable choice for enterprises to survive and compete. This article aims to investigate mechanisms and impacts of peer effects in digital transformation within supply chain networks. Using a sample of listed companies in China from 2011 to 2020, the findings suggest the existence of peer effects in the digital transformation of enterprises within supply chain networks. These effects become more significant as the perception of uncertainty and environmental uncertainty increase. Further analysis reveals that the greater the disparity in discourse power and the degree of digital transformation among peer enterprises within the supply chain, the stronger the peer effects. The study also examines various scenarios in which enterprises operate, finding that greater supply chain stability significantly enhances the peer effects of digital transformation. Heterogeneity tests indicate that peer effects in digital transformation are more evident when peer enterprises within the supply chain are located in different regions, operate in different industries, are non-state-owned, have directorial connections and common institutional ownership, and possess fluctuating executive teams. Additionally, the study discusses the spillover effects of digitalization among peer enterprises on the focal company. This research provides a micro-level exploration of the peer effects of digital transformation from a supply chain perspective, offering theoretical references and practical insights for enterprises seeking to achieve digital transformation.

Details

Language :
English
ISSN :
13303651 and 18486339
Volume :
31
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Tehnički Vjesnik
Publication Type :
Academic Journal
Accession number :
edsdoj.9378ba230a034c5a9c876a333fef1c58
Document Type :
article
Full Text :
https://doi.org/10.17559/TV-20240423001489