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The Impact Of Lean Supply Chain On Productivity Of Saudi Manufacturing Firms In Al-Qassim Region

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  • Ahmad Al-Tit

    (Business Administration Department, College of Business & Economics (CBE), Qassim University, Kingdom of Saudi Arabia)

Abstract

The objective of this study is to identify the contribution of the lean supply chain (LSC) to manufacturing firms in the Kingdom of Saudi Arabia (KSA). Out of the population of the study, 150 firms were selected from the Al-Qassim region to encompass the sample of the study. Four variables include waste elimination, cost reduction, manufacture–supplier relationship, and manufacture–customer relationships were constructed as predictors of productivity. A questionnaire-based survey was conducted to collect the study variables. A total of 75 questionnaires were distributed in the sample, of which 69 were returned. All of them were valid for the statistical analysis. The results of the study confirmed the hypotheses that the constructed predictors could predict the productivity of the manufacturing firms in the Al-Qassim region. That is, there were statistically significant impacts of LSC dimensions on the productivity. The study contributes to the body of supply chain (SC) literature by providing evidence on the positive impact of LSC on productivity in an Arabian context, particularly in KSA. However, the study was conducted in one industrial region in the KSA, therefore the generalization of the findings may not be applicable to other firms in the same country or other countries.

Suggested Citation

  • Ahmad Al-Tit, 2016. "The Impact Of Lean Supply Chain On Productivity Of Saudi Manufacturing Firms In Al-Qassim Region," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 14(1), pages 18-27, December.
    • Handle: RePEc:pcz:journl:v:14:y:2016:i:1:p:18-27
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    References listed on IDEAS

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    Cited by:

    1. Petra Kašparová, 2023. "Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(3), pages 991-1008, September.
    2. Valentina Burksiene & Jaroslav Dvorak & Mantas Duda, 2019. "Upstream Social Marketing for Implementing Mobile Government," Societies, MDPI, vol. 9(3), pages 1-13, July.

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