FACTORS AFFECTING LOGISTICS COSTS, TRANSPORTATION BY TRUCKS OF ENTREPRENEURS IN SAMUT PRAKAN PROVINCE

Abstract

          This research study The purpose is to study the factors affecting the cost of logistics, transport by truck operators in Samut Prakan province. The population in this study are the owner of the business logistics. In the district of Samut Prakarn province 168 companies determine the sample size by using the formula Taro Yamane (Taro Yamane) has the confidence of 95% of a sample of 119 people were gathered using a questionnaire as a tool in education. Statistical analysis using the average (mean) and standard deviation (standard deviation) and test hypotheses using multiple regression analysis (Multiple Regression Analysis) method takes a variable in total (Enter Regression) The results of the research. 1. The internal organizational factors of entrepreneurs in Samut Prakan province. The internal factors Of households in Samut Prakan province. The overall level Given the income side Found that a high level in all aspects. Sort by descending below the average personnel management. Hardware & Tools 2. Organization of services and their impact on costs, logistics, transport by truck. Of households in Samut Prakan province. The impact on costs, logistics, transport by truck. Of households in Samut Prakan province. The overall level considering it was found that the highest mean of transportation, followed by warehousing and inventory management. The average minimum 3. Factors affecting the cost of logistics, transport by truck operators in Samut Prakan province. The hypothesis testing found that the service personnel, materials and equipment. Send a positive impact on costs, logistics, transport by truck operators in Samut Prakan province. Statistically significant at the .01 level. This is based on the assumptions set out. The factor structure And management No impact on costs, logistics, transport by truck operators in Samut Prakan. 05, which does not conform to the assumptions set forth. Internal factors
include the organization of the 5 services. The organizational structure, personnel, equipment and materials. And management Can predict an accurate analysis of the variables was 61.7 percent.