Issue |
E3S Web Conf.
Volume 175, 2020
XIII International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness – INTERAGROMASH 2020”
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Article Number | 13037 | |
Number of page(s) | 7 | |
Section | Agricultural Planning and Economics | |
DOI | https://doi.org/10.1051/e3sconf/202017513037 | |
Published online | 29 June 2020 |
Work quality and standards of small and medium enterprises in the agro-industrial and construction business in Thailand
FMS, Suan Sunandha Rajabhat University, 1 U-Thong Nok rd, 10200, Dusit, Bangkok, Thailand
* Corresponding author: Pisit.po@ssru.ac.th
The purpose of this research was to study the factors that influence the decision of Small and Medium Enterprise (SMEs) in the Northeast region of Thailand to use loan services from Kasikorn Bank. The population in this research was 1,746 SMEs entrepreneurs who used loan services for Small and Medium Enterprise customers provided by Kasikorn Bank Public Company Limited in the North-eastern region of Thailand. Multi-stage Cluster Sampling was used in sampling 325 SMEs entrepreneurs and a 5 rating-scale questionnaire was used as a research tool, with the confidence value of independent variables of .96 and the confidence value of dependent variables of .83. The statistics used in analysis were Frequency, Percentage, Mean, Standard Deviation, Multiple Regression Analysis, T-test, and F-test. 7 factors were found to have influence in the decision to use loan services of the Small and Medium Enterprises customers at a high level. These following factors are listed in order from highest to lowest average scores; Service Process, Physical Evidence and Presentation, Personnel, Products, Distribution, Marketing Promotion, and Price. Only 2 factors were found to have an influence on the customers’ decision to use loan services with standardized coefficient of determination for multiple regression at the significance level of .01; Service Process (Beta = .43) and Personnel (Beta = .19) and both factors together could be used to determine 35% of dependent variables with statistical significance.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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