Open Access Research Article

Explaining the Impact of Enterprise Resource Planning on Company Performance with the Mediating Role of Supply Chain Management (Case Study: Saipa Yadak Company)

Authors

Behrooz Pirizadeh * Department of Management, Islamic Azad University Ahar, Ahar, Iran.
Mohammadreza Taghizadeh-Yazdi Department of Production and Operations Management, University of Tehran, Tehran, Iran.
Ali Pirizadeh Department of Industrial Engineering, University of Tehran, Tehran, Iran.

https://doi.org/10.48313/scodm.v2i3.38

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Abstract

The primary objective of this study is to investigate the impact of Enterprise Resource Planning (ERP) on company performance, with the mediating role of Supply Chain Management (SCM) at Saipa Yadak Company. From a population of 380 individuals, a sample size of 310 was determined based on the Structural Equation Modeling (SEM) formula. To collect data from the sample and test the formulated hypotheses, the ERP construct was adapted from Spathis and Constantinides [1], SCM from Mianabadi (1389/2010), and organizational performance from Maletic’s model [2]. The Cronbach’s alpha coefficients for the questionnaires were calculated as 0.789, 0.793, and 0.884, respectively. The research hypotheses were tested using a SEM approach with SPSS and SmartPLS software. The results indicate that ERP significantly affects both company performance and SCM at Saipa Yadak. Furthermore, the findings reveal that SCM, as a mediating variable, enhances the positive effect of ERP on company performance.

Keywords

Enterprise resource planning Company performance Supply chain management Saipa yadak

References (23)

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Published 2025-09-15
Issue Vol. 2 No. 3 (2025): Supply Chain and Operations Decision Making
Section Articles
Document Type Research Article
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How to Cite

Pirizadeh, B. ., Taghizadeh-Yazdi, M. ., & Pirizadeh, A. . (2025). Explaining the Impact of Enterprise Resource Planning on Company Performance with the Mediating Role of Supply Chain Management (Case Study: Saipa Yadak Company). Supply Chain and Operations Decision Making, 2(3), 136-146. https://doi.org/10.48313/scodm.v2i3.38

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