How Digital Transformation of Chinese Fishery Listed Companies Enhances Supply Chain Efficiency
文献类型： 外文期刊
作者： Zhang, Juan 1 ; Jiang, Qingqing 2 ; Wang, Chenglu 1 ; Zhao, Zhuming 3 ;
作者机构： 1.Beijing Int Studies Univ, Business Sch, Beijing 100024, Peoples R China
2.Qingdao Agr Univ, Haidu Coll, Yantai 265200, Peoples R China
3.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao 266071, Peoples R China
关键词： Digital Transformation; Supply Chain Efficiency; Chinese Listed Fishery Companies; TOE Framework; fsQCA
期刊名称：ISRAELI JOURNAL OF AQUACULTURE-BAMIDGEH （ 影响因子：0.4； 五年影响因子：0.5 ）
ISSN： 0792-156X
年卷期： 2025 年 77 卷 2 期
页码：
收录情况： SCI
摘要： To cope with the complex and ever-changing business environment, improving supply chain efficiency is an important issue that needs to be studied now. The development of digital technologies provides a new avenue for enhancing supply chain efficiency. Based on the theory of information asymmetry and the TOE framework, this paper uses panel data of 9 Chinese A-share listed fishing companies from 2015 to 2021 to construct a fixed-effects model and explore digital transformation's impact on supply chain efficiency. The results indicate that digital transformation significantly improves supply chain efficiency, and this conclusion remains robust after a series of robustness tests. On this basis, the paper further verifies the positive impact of digital transformation on supply chain efficiency using the fsQCA method based on the TOE framework and provides pathways for improvement. The findings of this study provide a theoretical basis for promoting the digital transformation of Chinese fishery companies and improving supply chain efficiency. Based on research on China's fisheries, this study further explores the implications of digital transformation for the efficiency of foreign fisheries supply chains. Digital transformation is a critical pathway to enhancing the efficiency of global fisheries supply chains. Foreign fisheries can draw on the digital research of China's fisheries supply chains, integrating their characteristics to promote the intelligent upgrading of their supply chains.
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