Factors Affecting Employees’ Organizational Loyalty of Electricity Generating Authority of Thailand (EGAT) at Headquarter

Abstract

The study aims to: 1) study individual factors that affect the organization loyalty of employees of the Electricity Generating Authority of Thailand (EGAT) at Headquarter, 2) study motivation factors that affect the organization loyalty of employees of the Electricity Generating Authority of Thailand (EGAT) at Headquarter, and 3) study the hygiene factors that affect the organization loyalty of employees of the Electricity Generating Authority of Thailand (EGAT) at Headquarter. The samples for the research are 400 people who have worked at the Electricity Generating Authority of Thailand (EGAT) at Headquarter. The researchers used the questionnaire as a tool to gather data from a sample group, used the descriptive statistics which including frequency, percentage, mean, and standard deviation, and used the inferential statistics which including Independent Sample t-test, One-Way ANOVA and multiple regression analysis to analyze data. The result was found 1) Personal factors include age, education level, marital status, level in job, average monthly income and work experience were found difference affected the organization loyalty of employees of the Electricity Generating Authority of Thailand (EGAT) at Headquarter. 2) The motivational factors in terms of relationship with work itself, achievement in work, responsibility, recognition and advancement and growth in capacity had affected the organization loyalty of employees of the Electricity Generating Authority of Thailand (EGAT) at Headquarter with a statistical a significance level of .05 and predictive level at 21.10 percent, and 3) The hygiene  factors in terms of relationship with working conditions, relationship with colleagues, supervision technical, personal life and organizational policy had affected the organization loyalty of employees of the Electricity Generating Authority of Thailand (EGAT) at Headquarter with a statistical significance level of .05 and predictive level at 38 percent.