Factors Affecting Burnout in Out-of-Office Workers in Thailand: A Moderated Multiple Regression Approach

Abstract

An objective of the study of factors affecting burnout in out-of-office workers in Thailand: a moderated multiple regression approach was to investigate various factors that affect burnout in out-of-office workers in Thailand by utilizing a moderated multiple regression approach and also aimed to develop the most suitable and practical burnout prediction model. Population of the study was professional out-of-office employees. Research tools were questionnaires and a convenience sampling method applied. 420 good samples were collected and put into an analysis. 80% of main dataset was called as a training set and randomized into a model fitting procedure then the 20% remaining data was called as an unseen set randomized into a model prediction evaluation. The well-fitted step wised moderated multiple regression could be deliberately developed as

BOT=3.367+0.347(WFC)-1.135(POSI)+0.272(ISL)-0.285(CRS)-0.341(JST)+0.287(POSI*CRS)

The model is fit and can be moderately generalized to the same context as per prediction evaluation metrics (MAE=0.570, MSE=0.538, RMSE=0.733 and R-square=0.395). Furthermore, it was clear that those negative work-related factors are still contribute to a level of burnout. However, in accordance with a moderating role of employee position, if an operational level employee had a high level of career satisfaction, there would be a lower level of burnout but, in managerial level, employee position had no effect on the relation between career satisfaction and burnout. An organization should build up a perception of career satisfaction among operational level staff in order to mitigate burnout risk. For future research, longitudinal research should be done so as to gain more insights regarding burnout.