SwePub - sökning: WFRF:(Dwaikat Nidal Yousef)

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1.	Dwaikat, Nidal Yousef, et al. (författare) How does information sharing affect first-tier suppliers' flexibility? : Evidence from the automotive industry in Sweden 2018 Ingår i: Production planning & control (Print). - : TAYLOR & FRANCIS LTD. - 0953-7287 .- 1366-5871. ; 29:4, s. 289-300 Tidskriftsartikel (refereegranskat)abstract This study addresses the critical research issue of how supplier delivery performance can be enhanced by integrating information sharing into volume and delivery flexibility. This study developed a research model to relate information sharing on demand forecasts and inventory data between original equipment manufacturers (OEMs) and first-tier suppliers. Based on a sample of 52 suppliers from automotive industry in Sweden, partial least squares structural equations modelling (PLS-SEM) was used to assess the model. The results confirm that sharing demand forecasts is a key enabler of supplier volume and delivery flexibility while sharing inventory data is not. The study contributes to enlarging the knowledge about supply chain management from the suppliers' perspective. It also contributes to knowledge by validating the conceptual model and operationalisation of constructs. The study also has practical contribution in which management should focus on improving communication and collaboration practices with OEMs for effective sharing of demand forecasts.

Dwaikat, Nidal Yousef, et al. (författare)
How does information sharing affect first-tier suppliers' flexibility? : Evidence from the automotive industry in Sweden
2018
Ingår i: Production planning & control (Print). - : TAYLOR & FRANCIS LTD. - 0953-7287 .- 1366-5871. ; 29:4, s. 289-300
Tidskriftsartikel (refereegranskat)abstract
- This study addresses the critical research issue of how supplier delivery performance can be enhanced by integrating information sharing into volume and delivery flexibility. This study developed a research model to relate information sharing on demand forecasts and inventory data between original equipment manufacturers (OEMs) and first-tier suppliers. Based on a sample of 52 suppliers from automotive industry in Sweden, partial least squares structural equations modelling (PLS-SEM) was used to assess the model. The results confirm that sharing demand forecasts is a key enabler of supplier volume and delivery flexibility while sharing inventory data is not. The study contributes to enlarging the knowledge about supply chain management from the suppliers' perspective. It also contributes to knowledge by validating the conceptual model and operationalisation of constructs. The study also has practical contribution in which management should focus on improving communication and collaboration practices with OEMs for effective sharing of demand forecasts.

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