An agility and performance assessment framework for supply chains using confirmatory factor analysis and structural equation modelling

Akhil NSB; Rohit Raj; Vimal Kumar; Phanitha Kalyani Gangaraju; Tanmoy De

Supply Chain Analytics (Mar 2025)

An agility and performance assessment framework for supply chains using confirmatory factor analysis and structural equation modelling

Akhil NSB,
Rohit Raj,
Vimal Kumar,
Phanitha Kalyani Gangaraju,
Tanmoy De

Affiliations

Akhil NSB: Department of Operations Management, Symbiosis Institute of Business Management, Hyderabad 509217, India; Symbiosis International (Deemed University), Pune, India
Rohit Raj: Department of Business Administration, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan
Vimal Kumar: Department of Information Management, Chaoyang University of Technology, Wufeng, Taichung 41349, Taiwan; VelTech Rangarajan Dr Sagunthala R and D Institute of Science and Technology, Avadi, Chennai India; Corresponding author at: Department of Information Management, Chaoyang University of Technology, Wufeng, Taichung 41349, Taiwan.
Phanitha Kalyani Gangaraju: Department of Operations Management, Symbiosis Institute of Business Management, Hyderabad 509217, India; Symbiosis International (Deemed University), Pune, India
Tanmoy De: Faculty of Management, Symbiosis Institute of Business Management, Hyderabad, Symbiosis International (Deemed University), Hyderabad 509217, India

Journal volume & issue: Vol. 9
p. 100093

Abstract

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This study examines the impact of agile practices on supply chain performance measurements in manufacturing firms. Following COVID-19, there have been operational and logistics disruptions in manufacturing firms and supply chains worldwide. We study the link between supply chain performance and agile manufacturing practices by designing experimental research and collecting data from 340 responses from manufacturing firms. The experimental design proposed in this study uses a confirmatory factor and reliability analysis and smart-partial least square structural equation modeling. This research demonstrates the positive effect of agile supply chain strategies on manufacturing companies’ performance. The values obtained from the experiment support the dependability and effectiveness of the study. The research is supported by factors like customer involvement, facility management, supply chain responsiveness, strategic management, and supplier relationships but is undermined by technology utilization and supply chain contracts. The study will aid companies in combining agile with more conventional approaches to better adapt to market volatility and fierce global competition. Developing core competencies and acquiring a competitive advantage contribute to sustained advantage in the manufacturing industry. This study further outlines the need to understand how supply chains perform when agile practices are adopted.

Published in Supply Chain Analytics

ISSN: 2949-8635 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Social Sciences: Commerce: Business: Marketing. Distribution of products; Social Sciences: Industries. Land use. Labor: Management. Industrial management
Website: https://www.sciencedirect.com/journal/supply-chain-analytics

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