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Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory

Digital transformation of traditional enterprises can better develop new customer relationships and help mitigate the business risk of their over-reliance on single-customer relationships. However, little research has been conducted on the internal mechanisms of how enterprise digitalization reshape...

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Detalles Bibliográficos
Autores principales: Liu, Laihui, An, Suxia, Liu, Xiangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521572/
https://www.ncbi.nlm.nih.gov/pubmed/36186358
http://dx.doi.org/10.3389/fpsyg.2022.987268
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author Liu, Laihui
An, Suxia
Liu, Xiangyu
author_facet Liu, Laihui
An, Suxia
Liu, Xiangyu
author_sort Liu, Laihui
collection PubMed
description Digital transformation of traditional enterprises can better develop new customer relationships and help mitigate the business risk of their over-reliance on single-customer relationships. However, little research has been conducted on the internal mechanisms of how enterprise digitalization reshapes corporate customer relationships. In this manuscript, from the perspective of dynamic capability theory, we construct conceptual models of enterprise digital transformation, innovation capability, operational cost, and customer satisfaction, and explore the internal mechanisms of enterprise digital transformation to reduce the dependence of enterprises on large customers. The model is empirically studied by obtaining data on the degree of digital transformation of enterprises through “search statistics” of keywords in the annual reports of Chinese listed companies during 2011–2019. This manuscript finds that digital transformation significantly reduces the concentration of large customers and has become a powerful driver of business model innovation in the digital economy, and this finding remains robust to the use of PSM and instrumental variable methods to address endogeneity. Digital transformation reduces firms’ dependence on large customers through three mechanisms: improving firms’ innovation capabilities, reducing firms’ operating costs, and increasing customer satisfaction. The impact of digital transformation on reducing the dependence of non-state enterprises on large customers is greater than that of state-owned enterprises; the implementation of digital transformation strategies is more helpful for enterprises that have active interactions with customers to reduce their customer concentration; and the reduction of customer concentration is greater for enterprises in regions with higher levels of digital development compared to those in regions with lower levels of digital development. The economic consequence test finds that digital transformation diversifies customer structure and reduces business risks. The analysis of the innovation effect and customer satisfaction effect on reducing the concentration of large customers of enterprisesby implementing digital transformation enriches and expands the dynamic capability theory and provides important insights for enterprises to diversify their customer structure.
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spelling pubmed-95215722022-09-30 Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory Liu, Laihui An, Suxia Liu, Xiangyu Front Psychol Psychology Digital transformation of traditional enterprises can better develop new customer relationships and help mitigate the business risk of their over-reliance on single-customer relationships. However, little research has been conducted on the internal mechanisms of how enterprise digitalization reshapes corporate customer relationships. In this manuscript, from the perspective of dynamic capability theory, we construct conceptual models of enterprise digital transformation, innovation capability, operational cost, and customer satisfaction, and explore the internal mechanisms of enterprise digital transformation to reduce the dependence of enterprises on large customers. The model is empirically studied by obtaining data on the degree of digital transformation of enterprises through “search statistics” of keywords in the annual reports of Chinese listed companies during 2011–2019. This manuscript finds that digital transformation significantly reduces the concentration of large customers and has become a powerful driver of business model innovation in the digital economy, and this finding remains robust to the use of PSM and instrumental variable methods to address endogeneity. Digital transformation reduces firms’ dependence on large customers through three mechanisms: improving firms’ innovation capabilities, reducing firms’ operating costs, and increasing customer satisfaction. The impact of digital transformation on reducing the dependence of non-state enterprises on large customers is greater than that of state-owned enterprises; the implementation of digital transformation strategies is more helpful for enterprises that have active interactions with customers to reduce their customer concentration; and the reduction of customer concentration is greater for enterprises in regions with higher levels of digital development compared to those in regions with lower levels of digital development. The economic consequence test finds that digital transformation diversifies customer structure and reduces business risks. The analysis of the innovation effect and customer satisfaction effect on reducing the concentration of large customers of enterprisesby implementing digital transformation enriches and expands the dynamic capability theory and provides important insights for enterprises to diversify their customer structure. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9521572/ /pubmed/36186358 http://dx.doi.org/10.3389/fpsyg.2022.987268 Text en Copyright © 2022 Liu, An and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Liu, Laihui
An, Suxia
Liu, Xiangyu
Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory
title Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory
title_full Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory
title_fullStr Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory
title_full_unstemmed Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory
title_short Enterprise digital transformation and customer concentration: An examination based on dynamic capability theory
title_sort enterprise digital transformation and customer concentration: an examination based on dynamic capability theory
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521572/
https://www.ncbi.nlm.nih.gov/pubmed/36186358
http://dx.doi.org/10.3389/fpsyg.2022.987268
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