Factors influencing the Performance Efficiency of Government Officials in Sub-district Administration Organizations, Roi Et Province, Thailand

Abstract

Among the administrative resources, human resources are the most important.

A key human resource indicator is performance competence", which requires ongoing monitoring and supervision of performance. The objectives of this research were to study 1) performance efficiency of sub-district government officials, 2) factors related to the efficient performance of district government officials, and 3) factors influencing the performance efficiency of sub-district government officials. The sample was a total of sub-district government officials in Roi-Et, and the sample size of 339 informants was selected from Taro Yamane’s formula. The instruments used for data collection were the questionnaires with their reliability of 0.85 and 0.89 respectively. The statistics used for data analysis were comprised of mean, standard deviation, Pearson’s product-moment correlation coefficient, and linear regression analysis.

The findings of the research were as follows: (1) The performance efficiency of sub-district government officials was found to be at a high level. Considered separately in the descending order of mean, the aspect with the highest mean was ‘Operational Process’(  = 4.31), followed by ‘Resource Supply and Utilization(  = 4.20), the aspect with the lowest mean was ‘Satisfaction of All Parties’ (  = 3.96). (2) The relationship between factors and performance efficiency of SAO’s government officials was found that all factors were found to positively related to performance efficiency of SAO’s government officials at a statistically significant level of 0.05. In the descending order of Pearson’s correlation coefficients, they were the location and facilities(x6), colleagues(x3), compensation(x5), job description(x1), chiefs(x4), and job stability and progress(x2), with their correlation coefficients (rxy) of 0.491, 0.475, 0.456, 0.378 and0.351, respectively. (3) There were four factors influencing performance efficiency of SAO’s government officials (Y) at a statistically significant level of0.05 (p < 0.05), sorted in the descending order of prediction; the location and facilities(x6), compensation(x5), colleagues (x3), and job description (x1), with the predictors’ unstandardized coefficients (b) of 0.433, 0.247, 0.131 and0.109, respectively. In addition, their standardized coefficients (β) were 0.496, 0.224, 0.182 and0.212, respectively, and prediction power of those four factors was overall equal to 60.90%.