Performance Evaluation for Dairy Products Supply Chain in Rural Areas of Kermanshah Country

Document Type : Research Paper

Authors

1 Msc of Rural Development, Department of Entrepreneurship and Rural Development, Faculty of Agriculture, Ilam University, Ilam, Iran.

2 Associate professor, Department of Entrepreneurship and Rural Development, Faculty of Agriculture, Ilam University, Ilam, Iran.

3 Assistant professor, Department of Entrepreneurship and Rural Development, Faculty of Agriculture, Ilam University, Ilam , Iran.

Abstract

The purpose of this study is to evaluate the performance of dairy products supply chain in rural areas of Kermanshah country. The statistical population of the study is about 638 people and consists of three groups, including the employees of Bisotun Milk Factory, sellers of dairy products, and dairy farms in Kermanshah. Based on the Krejcie & Morgan (1970) table, the sample population is calculated at about 240 people. Data collection is carried out by a researcher-made questionnaire. Three experts from the department of rural development of Ilam University verified the validity of the questionnaire, and its reliability is determined to be o.847 using the Cronbach's alpha coefficient. Data were analyzed using the F test, one-way analysis of variance, correlation coefficient, and regression using SPSS 20 software. The results of the research indicate that variables of information flow, coordination among a network's members, marketing and sales, customer satisfaction, and transportation are in good condition. Based on the results of the regression and F test, variables of information flow and coordination, marketing and sales, customer satisfaction, and transportation have a significant effect on supply chain performance, while the two variables of cost and flexibility were not in desirable condition. Therefore, it is suggested that the supply chain should adopt appropriate strategies for better survival and widespread use and incorporate various processes, such as lower costs and greater flexibility in the business environment, which will improve the performance of the supply chain.

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Journal of Rural Research
Volume 10, Issue 3
December 2019
Pages 424-437

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History

  • Receive Date: 19 March 2019
  • Revise Date: 06 August 2019
  • Accept Date: 07 September 2019

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