Agricultural Education Administration Research

Document Type : Research Paper

Authors

1 1Ph.D. candidate, Department of Agricultural Extension and Education, Faculty of Agriculture, University of Tehran, Iran

2 Associate Professor, Department of Agricultural Extension and Education, Faculty of Agriculture, University of Tehran, Iran

3 Professor, Department of Agricultural Extension and Education, Faculty of Agriculture, University of Tehran, Iran

4 Professor, Department of Agricultural Extension and Education, Faculty of Agriculture, University of Tehran, Karaj, Iran

10.22092/jaear.2024.365885.2015

Abstract

Due to the critical nature of agricultural extension in poverty alleviation and increasing food security, it is necessary to pay attention to the entry and barring of new actors through the pluralistic approach in agricultural extension. One of these actors is the private sector, and the issue of service quality is of double importance in the case of this sector of agricultural technical service providers. The statistical population of this research was farmers who had the experience of using the services of consulting, technical and agricultural engineering services companies in Tehran province during the last 5 years, and finally, 201 farmers were selected from the 422 participants through random sampling method. A questionnaire was used to collect data, and to determine its validity, the average value of extracted variance (AVE = 0.82) was used, and to determine the reliability of the research tool, the composite reliability value (CR = 0.95) was used. SERVQUAL model showed that the indicators of the model titled: quality of response (0.84), concreteness (0.79), guarantee (0.77), reliability (0.56), empathy (0.74), loyalty (0.65), company organization (0.65), customer service (0.55) and internal control (0.44) can be modeled. Based on this, it was found that the SERVQUAL model has the necessary credibility for measuring the quality of services provided to farmers and providing services with a higher level of quality by consulting companies for technical and agricultural engineering services.

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