首页|Intelligent Transformation and Customer Concentration

Intelligent Transformation and Customer Concentration

扫码查看
With the gradual integration of artificial intelligence and production processes, will the traditional business model of enterprises change? Based on the data of China's manufacturing companies listed in Shanghai and Shenzhen A-shares from 2008 to 2021, we study the impact of enterprise intelligent transformation on customer concentration. Using text mining and machine learning tools, this study measures the degree of enterprise intelligent transformation and constructs an index based on the relevant words in annual reports. A multiphase DID model results show that enterprise intelligent transformation reduces customer concentration. A series of robustness tests and endogeneity tests validate this finding. This study shows that enterprise intelligent transformation improves information disclosure quality, strengthens innovation ability, and expands business boundaries, thus reducing customer concentration. Our findings provide empirical evidence to strengthen enterprise intelligent transformation further and maintain robust supply chain relationships.

Customer ConcentrationInformation Disclosure QualityTechnological Innovation Intelligent TransformationBusiness Boundaries

Mao, Jinzhou、Zhao, Yueyang、Yang, Siying、Li, Rita Yi Man、Abbas, Jawad

展开 >

Jilin Univ

Jilin University School of Economics||Jilin University School of Economics

Hong Kong Shue Yan Univ

Univ Cent Punjab

展开 >

2023

Journal of organizational and end user computing

Journal of organizational and end user computing

EI
ISSN:1546-2234
年,卷(期):2023.35(Pt.3)
  • 37