Benefits and welfare of factory workers in Pathum Thani Province

Abstract

This research aimed to 1) study the level of employee benefits and welfare in factories in Pathum Thani Province, 2) compare employee benefits and welfare in factories in Pathum Thani Province classified by personal information, and 3) compare employee benefits and welfare in factories in Pathum Thani Province classified by organizational characteristics. A quantitative research design was employed, using questionnaires for data collection. The sample group consisted of 385 employees from companies/factories in Pathum Thani Province, calculated using W.G. Cochran's formula for unknown population size at a 95% confidence level. The research instrument was a 5-point Likert scale questionnaire with an overall reliability coefficient of 0.63. Statistical methods used for data analysis included frequency, percentage, mean, standard deviation, t-test, and F-test.

The research findings revealed that: 1) Respondents had a high level of opinion regarding employee benefits and welfare in factories in Pathum Thani Province overall (x̄ = 3.45, S.D. = 0.27). When analyzed by aspect, the highest was housing, followed by education and development, and the lowest was activities. 2) Comparing employee benefits and welfare in factories in Pathum Thani Province classified by personal information showed that factory employees with different marital status had significantly different opinions on employee benefits and welfare in housing and activities aspects at the .05 statistical significance level. Factory employees with different education levels had significantly different opinions on employee benefits and welfare overall at the .01 statistical significance level. When considered by individual aspects, factory employees with different education levels had significantly different opinions on employee benefits and welfare in health, housing, and education and development aspects at the .01 statistical significance level. Factory employees with different income levels had significantly different opinions on employee benefits and welfare in housing aspects at the .01 statistical significance level and in special bonus aspects at the .05 statistical significance level. 3) Comparing employee benefits and welfare in factories in Pathum Thani Province classified by organizational characteristics showed that factory employees with different organizational characteristic factors, specifically organization size, had significantly different opinions on employee benefits and welfare in special bonus and activities aspects at the .05 statistical significance level.