FACTORS AFFECTING ORGANIZATIONAL COMMITMENT OF EMLOYEES IN KHAO CHAKAN SUBDISTRICT MUNICIPALITY, KHAO CHAKKRAN DISTRICT, SA KAEO PROVINCE

Abstract

  The purposes of the study seemed to (1) To study the level of organizational commitment of employees in Khao Chakan subdistrict municipality, (2) investigate the relationships between the independent variables and organizational commitment of  employees in Khao Chakan subdistrict municipality, and (3)explore the predictors affecting Organizational commitment of employees in Khao Chakan subdistrict municipality. The samples of the study were 70 executives, The study instrument was questionnaires, The collected data were analyzed by frequency, percentages, mean, standard deviation, the Pearson product-moment correlation coefficient, and multiple regression analysis.

  The findings of the research indicated  that;

1. In terms of the level of commitment to the organization commitment of employees in Khao Chakan subdistrict municipality, to be overall at a high level of commitment. 2. The intraclass correlation coefficient between independent variables they were statistically significant at the 0.05 level totaling 7 values. The variable with the highest score seemed to be the advancement (X10) and working conditions (X5) (r = .40), When the correlation coefficients between employee organizational commitment to the organization and other variables were considered, it was found that 2 predictors seemed to have the relationships of employee commitment to the organization with the statistical significance at the 0.05 level. The Compensation and benefits (X1) (r = .44), and the advancement (X10)  (r = .24). 3. The independent variables that affect the organizational commitment of employees  in Khao Chakan subdistrict municipality , Khao Chakkran District, Sa Kaeo Province with the statistical significance at the 0.05 level there were 3 pieces consisting of Relationships with supervisors (X2) with the positive influence at .227, the advancement (X10), and Compensation and benefits (X1). Which can write the prediction equations based on raw scores and standard scores respectively as follows;   

Y = 2.310 + 0.227X₂ + 0.214X₁₀ + 0.148X₁

Z_Y  =  0.251Z₂ + 0.344Z₁₀  + 0.278Z₁