Impact of Industry 4.0 related Drivers on the Performance of the Logistic Sector: A Study of Sri Lankan Context

This empirical study investigates the key Industry 4.0-related drivers that influence the performance of the logistics sector in the Sri Lankan context. The research systematically evaluates the impact of key independent variables, including Organizational Drivers, Technological Drivers, Industry and Market Drivers, Rules and Regulation Drivers, and Social Drivers, on the performance of logistics firms. Furthermore, it investigates the moderating roles of Firm Size and Economic Conditions in shaping these relationships. Understanding these dynamics is crucial for comprehending how Industry 4.0 adoption can enhance operational performance and competitiveness in Sri Lanka’s logistics landscape. By leveraging structured surveys and advanced analytical methods such as Partial Least Squares Structural Equation Modeling (PLS-SEM), this study provides actionable insights for logistics firms and policymakers. The findings aim to guide the strategic integration of Industry 4.0 technologies, enabling improved operational efficiency and positioning Sri Lanka as a competitive logistics hub in the digital age.

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Publication Details

Published
2025-02-19
DOI
https://doi.org/10.1109/icarc64760.2025.10963307
Primary Topic
Transport and Logistics Innovations
Type
article
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article

Impact of Industry 4.0 related Drivers on the Performance of the Logistic Sector: A Study of Sri Lankan Context

Amila Withanaarachchi, D. Samarathunga
Transport and Logistics Innovations
article

Impact of Industry 4.0 related Drivers on the Performance of the Logistic Sector: A Study of Sri Lankan Context

Amila Withanaarachchi, D. Samarathunga
article en

Abstract

This empirical study investigates the key Industry 4.0-related drivers that influence the performance of the logistics sector in the Sri Lankan context. The research systematically evaluates the impact of key independent variables, including Organizational Drivers, Technological Drivers, Industry and Market Drivers, Rules and Regulation Drivers, and Social Drivers, on the performance of logistics firms. Furthermore, it investigates the moderating roles of Firm Size and Economic Conditions in shaping these relationships. Understanding these dynamics is crucial for comprehending how Industry 4.0 adoption can enhance operational performance and competitiveness in Sri Lanka’s logistics landscape. By leveraging structured surveys and advanced analytical methods such as Partial Least Squares Structural Equation Modeling (PLS-SEM), this study provides actionable insights for logistics firms and policymakers. The findings aim to guide the strategic integration of Industry 4.0 technologies, enabling improved operational efficiency and positioning Sri Lanka as a competitive logistics hub in the digital age.

University of Kelaniya (LK)
Openalex Percentile: Top 90%
Transport and Logistics Innovations
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