理解大数据分析能力、绿色动态能力、供应链敏捷性和绿色竞争优势之间的关系:供应链创新的调节作用

IF 7.3 2区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Wenjie Li, Idrees Waris, Muhammad Yaseen Bhutto
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引用次数: 0

摘要

本研究旨在探讨大数据分析能力(BDAC)对制造企业供应链绩效的影响。本研究以资源基础观(resource-based view, RBV)理论为基础,重点探讨了绿色动态能力(GDC)、供应链敏捷性(SCA)和绿色竞争优势(GCA)对供应链绿色动态能力(GDC)的影响。此外,研究还考察了供应链创新(SCI)对GCA与企业绩效之间关系的调节作用。设计/方法/方法采用在线调查方法,对巴基斯坦证券交易所(PSX)上市制造企业的331名管理人员进行数据收集。采用偏最小二乘结构方程建模(PLS-SEM)技术对假设模型进行检验。研究结果表明,BDAC对GDC和SCA均有正向影响,导致GCA增强。此外,研究结果表明,GCA显著正向影响FP,且二者之间的关系受到SCI的正向调节。本研究在RBV理论的基础上拓展了创新的理论视角,并提供了实证证据,证明制造业企业的绩效受到BDAC、GDC和SCA的显著影响。研究结果对供应链中BDAC和SCA的有效性提供了有价值的实践启示。研究结果进一步强调了GCA与FP之间的SCI强化关系的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the nexus among big data analytics capabilities, green dynamic capabilities, supply chain agility and green competitive advantage: the moderating effect of supply chain innovativeness
Purpose The current study examines the impact of big data analytics capabilities (BDAC) on supply chain performances of the manufacturing firms. Based on the underpinning of resource-based view (RBV) theory, the current study will highlight the significance of BDAC on green dynamic capabilities (GDC), supply chain agility (SCA) and green competitive advantage (GCA). Furthermore, the study examines the moderating effect of supply chain innovativeness (SCI) on the relationship between GCA and firm performance (FP). Design/methodology/approach Online survey method was employed for the data collection from the 331 managers employed in Pakistan Stock Exchange (PSX)-listed manufacturing firms. The hypothesized model was tested using partial least squares structural equation modeling (PLS-SEM) technique. Findings The study results indicate that BDAC has a positive influence on both GDC and SCA, leading to enhanced GCA. Furthermore, the results demonstrate that GCA significantly and positively impacts FP, and the relationship between them is positively moderated by SCI. Originality/value This study developed a novel theoretical perspective based on RBV theory and provided empirical evidence that manufacturing firms' performances are significantly influenced by BDAC, GDC and SCA. The study results provide valuable practical implications top management regarding the effectiveness of BDAC and SCA in the supply chain. The findings further highlight the significance of SCI strengthening relationship between GCA and FP.
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来源期刊
Journal of Manufacturing Technology Management
Journal of Manufacturing Technology Management Engineering-Control and Systems Engineering
CiteScore
16.30
自引率
7.90%
发文量
45
期刊介绍: The Journal of Manufacturing Technology Management (JMTM) aspires to be the premier destination for impactful manufacturing-related research. JMTM provides comprehensive international coverage of topics pertaining to the management of manufacturing technology, focusing on bridging theoretical advancements with practical applications to enhance manufacturing practices. JMTM seeks articles grounded in empirical evidence, such as surveys, case studies, and action research, to ensure relevance and applicability. All submissions should include a thorough literature review to contextualize the study within the field and clearly demonstrate how the research contributes significantly and originally by comparing and contrasting its findings with existing knowledge. Articles should directly address management of manufacturing technology and offer insights with broad applicability.
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