Bayesian Consideration for Analyzing Employee’s Motivation: Evidence from Vietnam

The author implements the topic to study the factors affecting the work motivation of employees. The research sample was selected by a non-probability method. The sample size is expected to be 300 samples working in the Sapo Technology Joint Stock Company, Vietnam. We processed the data by the Bayesian statistical method to give the optimal model. From there, give specific comments and solutions to solve the limitations of the topic. The research results have shown that the factors affecting the work motivation of employees include 3 factors: salary and welfare (SW), working features (WF), and corporate culture (CC) have a probability of 100%. Working environment and conditions (WEC) and training and promotion at work (TPW) have a probability of 4.4% and 20%. The paper uses the optimum selection by Bayesian consideration for analyzing employee motivation.