Determinant Factors of Customer Satisfaction with Agricultural Products in Helmand Province, Afghanistan

In this research, an effort was made to assess customer satisfaction with agricultural products in Helmand province and determine which marketing mix dimensions and factors significantly impact customer satisfaction. For data collection, 65 questionnaires were gathered from customers who had visited industrial production companies within the last three days. The collected data were later analysed using SPSS 26.0, OLS, and correlation techniques. The results show that Product has a positive relationship with customer satisfaction, Price has a positive relationship with customer satisfaction, Place has a positive relationship with customer satisfaction, Promotion has a positive relationship with customer satisfaction, Physical evidence has a positive relationship with customer satisfaction, People have a positive relationship with customer satisfaction, Process has a positive relationship with customer satisfaction. Based on the model, the obtained Adjusted R Square value was calculated, and if converted into a percentage, it is significant. Overall, the research findings indicate that all independent variables significantly impact the dependent variable, meaning that the independent variables contribute considerably to the changes in the dependent variable.

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Publication Details

Journal
American Journal of Multidisciplinary Research and Innovation
Published
2025-05-20
DOI
https://doi.org/10.54536/ajmri.v4i3.4876
Primary Topic
Diverse Scientific Research Studies
Type
article
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article

Determinant Factors of Customer Satisfaction with Agricultural Products in Helmand Province, Afghanistan

Ali Ahmad, Arsalan Watandar, Abdul Qadeer Khadim
American Journal of Multidisciplinary Research and Innovation
Diverse Scientific Research Studies
article

Determinant Factors of Customer Satisfaction with Agricultural Products in Helmand Province, Afghanistan

Ali Ahmad, Arsalan Watandar, Abdul Qadeer Khadim
article en

Abstract

In this research, an effort was made to assess customer satisfaction with agricultural products in Helmand province and determine which marketing mix dimensions and factors significantly impact customer satisfaction. For data collection, 65 questionnaires were gathered from customers who had visited industrial production companies within the last three days. The collected data were later analysed using SPSS 26.0, OLS, and correlation techniques. The results show that Product has a positive relationship with customer satisfaction, Price has a positive relationship with customer satisfaction, Place has a positive relationship with customer satisfaction, Promotion has a positive relationship with customer satisfaction, Physical evidence has a positive relationship with customer satisfaction, People have a positive relationship with customer satisfaction, Process has a positive relationship with customer satisfaction. Based on the model, the obtained Adjusted R Square value was calculated, and if converted into a percentage, it is significant. Overall, the research findings indicate that all independent variables significantly impact the dependent variable, meaning that the independent variables contribute considerably to the changes in the dependent variable.

American Journal of Multidisciplinary Research and InnovationVol. 4(3)
Bost University (AF)
Openalex Percentile: Top 82%
Diverse Scientific Research Studies
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