Improving the enterprise performance: An empirical analysis of digital supply chain transformation in Guangxi manufacturing industry

YanQing Wang, Jessada Pochan, Boonsub Panichakarn, Muhammad Shafiq

Article ID: 5913
Vol 8, Issue 8, 2024

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Abstract


This study investigates how digital supply chain transformation affects enterprise performance in Guangxi’s manufacturing sector, with a focus on Electric Vehicle (EV) enterprises. Utilizing the quantitative research approach, data was collected through a questionnaire survey from 197 respondents including the manufacturers, distributors, and suppliers of the Guangxi Electric Vehicle Manufacturing Industry. To test the reliability, correlation, regression, and discriminant validity assessments the structural equation modeling is used by applying the SmartPLS 3.0. The results revealed that there is a strong correlation between agile capability, digital transformation, innovation capability, and enterprise performance. All the structured hypotheses tested significantly positive, though, digital supply chain transformation positively influences enterprise performance in Guangxi’s manufacturing industry, emphasizing the importance of agile capability, digital transformation, and innovation capability. This study highlights the importance of digital supply chain transformation in improving business performance in the Guangxi manufacturing sector. It serves as a guide for policy decision-makers and investors while they are planning their future investments, especially on issues about the optimization of supply chain operations.

Keywords


enterprise performance; electric vehicle enterprises; digital supply chain transformation; agile capability; innovation capability

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References


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DOI: https://doi.org/10.24294/jipd.v8i8.5913

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