EconPapers    
Economics at your fingertips  
 

Industry 4.0 enables supply chain resilience and supply chain performance

Ghulam Qader, Muhammad Junaid, Qamar Abbas and Muhammad Shujaat Mubarik

Technological Forecasting and Social Change, 2022, vol. 185, issue C

Abstract: Drawing on information processing theory and resource-based view (RBV), this study examines the impact of industry 4.0 on supply chain performance (SCP). The study also explores how supply chain resilience (SCRes) and supply chain visibility (SCV) influence the association between Industry4.0 and SC performance. Cross-sectional data was collected from 458 respondents working in food, beverage, and pharmaceutical companies using a close-ended questionnaire. The study employed partial least square structural equation modeling (PLS-SEM) to analyze the hypothesized relationships. The findings confirmed a significant and substantial impact of Industry4.0 on SC performance. Similarly, findings also depicted a significant mediating role of SCRes between Industry 4.0 and SCP. Furthermore, results also found a significant moderating role of SCV in a way that it reinforced the impact of Industry 4.0 on SCRes. This study provides an understanding of Industry 4.0 applications and their role between SCRes and SCV. The results of the study suggest the adoption of Industry 4.0 technologies uplifts SC resilience and SC performance thereon.

Keywords: Industry 4.0; IoT; Machine learning; Supply chain resilience; Supply chain visibility; Supply chain performance (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522005479
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:185:y:2022:i:c:s0040162522005479

DOI: 10.1016/j.techfore.2022.122026

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:185:y:2022:i:c:s0040162522005479