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

• Published in: Journal of manufacturing technology management Vol. 35; no. 1; pp. 119 - 140
• Main Authors: Li, Wenjie, Waris, Idrees, Bhutto, Muhammad Yaseen
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 02-01-2024; Emerald Group Publishing Limited
• Subjects: Advanced manufacturing technologies; Big Data; Competition; Competitive advantage; Data analysis; Data collection; Empirical analysis; Empowerment; Innovations; Manufacturing; Stock exchanges; Supply chains; Pakistan; Big data analytics capabilities; Firm performance; Green dynamic capabilities; Green competitive advantage; Supply chain innovativeness; Supply chain agility
• ISSN: 1741-038X; 1758-7786
• DOI: 10.1108/JMTM-07-2023-0263

PurposeThe 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/approachOnline 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.FindingsThe 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/valueThis 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.