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SUPPLY CHAIN OPERATIONS RISK MANAGEMENT, RESILIENCE, AND INFORMATION TECHNOLOGY INTEGRATION ON OPERATIONS PERFORMANCE: DOES DEMAND FORECASTING MATTERS

The research aimed to evaluate the impact of supply chain risk management, supply chain resilience, and information technology integration on operational performance, with a moderating effect of demand forecasting in Saudi Arabian pharmaceutical companies. Data were collected via a self-administered...

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Bibliographic Details
Published in:Operational Research in Engineering Sciences: Theory and Applications 2024-09, Vol.7 (2)
Main Authors: Nourredine Khababa, Rimma Yunusova
Format: Article
Language:English
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Summary:The research aimed to evaluate the impact of supply chain risk management, supply chain resilience, and information technology integration on operational performance, with a moderating effect of demand forecasting in Saudi Arabian pharmaceutical companies. Data were collected via a self-administered survey questionnaire from 310 employees of pharmaceutical companies using a convenience sampling technique. The researchers employed a quantitative research approach, a cross-sectional research design, and Partial Least Squares (PLS)-Structural Equation Modelling (SEM) to test the study's hypotheses. The results indicated that supply chain risk management, supply chain resilience, and information technology integration have a positive and significant impact on operational performance. Furthermore, the moderating effect of demand forecasting was found to be significant, demonstrating that it enhances the relationship between supply chain risk management practices, supply chain resilience, information technology integration, and operational performance. This study significantly contributes to the existing literature by highlighting the importance of demand forecasting in improving operational performance. Additionally, it provides valuable insights for managers and policymakers, emphasizing that competence in demand forecasting management is crucial for enhancing operational performance.
ISSN:2620-1607
2620-1747