气候变化领域集成服务门户(CCPortal): Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain

CCPortal

DOI	10.1016/j.ijpe.2024.109178
	Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain
	Belhadi, Amine; Venkatesh, Mani; Kamble, Sachin; Abedin, Mohammad Zoynul
发表日期	2024
ISSN	0925-5273
EISSN	1873-7579
起始页码	270
卷号	270
英文摘要	Following the growing pressure on firms and supply chains regarding their environmental impact, carbon neutrality of supply chains is gaining substantial attention among scholars and practitioners. Data-driven digital transformation supports supply chains in achieving higher carbon reduction while improving efficiency and economic performance. However, the conditions under which data-driven digital transformation can provide the desired effect remain unclear due to a lack of empirical evidence. This study aims to address this gap by examining how data-driven digital transformation, enabled by data analytics capabilities, contributes to establishing a win-win situation between carbon and economic performance in the face of several sources of carbon uncertainty through fostering supply chain carbon transparency. Drawing upon the organizational informationprocessing theory, we posit that the fit between information needs to reduce carbon uncertainties and the information capabilities provided by data-driven digital transformation is critical for enhancing supply chain carbon transparency and balancing supply chains' economic and carbon performance. We examine these relationships using regression tests based on survey data from 437 manufacturing companies from different regions (i.e., Europe, Africa, and Asia). Our results reveal that data analytics capabilities alone cannot enhance supply chain carbon transparency until integrated into a comprehensive business transformation. In that case, carbon transparency would positively mediate overcoming carbon uncertainties and improve the supply chains' carbon and economic performance.
英文关键词	Data -driven digital transformation; Data-analytics capabilities; carbon transparency; carbon uncertainties; carbon neutrality; OIPT
语种	英语
WOS研究方向	Engineering ; Operations Research & Management Science
WOS类目	Engineering, Industrial ; Engineering, Manufacturing ; Operations Research & Management Science
WOS记录号	WOS:001202103700001
来源期刊	INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/298647
作者单位	Universite Internationale de Rabat; Montpellier Business School; University of Manitoba; Universite Catholique de Lille; EDHEC Business School; Swansea University
推荐引用方式 GB/T 7714	Belhadi, Amine,Venkatesh, Mani,Kamble, Sachin,et al. Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain[J],2024,270.
APA	Belhadi, Amine,Venkatesh, Mani,Kamble, Sachin,&Abedin, Mohammad Zoynul.(2024).Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain.INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS,270.
MLA	Belhadi, Amine,et al."Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain".INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 270(2024).