Application of the Regression Model for Evaluating Factors Affecting Construction Workers’ Labor Productivity in Vietnam

Abstract

Background: In the rapidly-developed construction industry, labor productivity has improved to a great extent, still, it is low compared with many other industries. The enhancement of labor productivity has become important that attracts much attention and focus from researchers in Vietnam and around the world. Aim: This paper focuses on key factors affecting labor productivity of construction sites in Vietnam by introducing a regression model to evaluate the extent of each factor's impact on the labor productivity of construction workers. Methods: Ten groups of impacting factors were identified as factors relevant to construction worker, factors relevant to site operation and management, factors relevant to motivation, factors relevant to working time, factors relevant to labor working tools, factors relevant to labor working conditions, factors relevant to working safety, factors relevant to project informations, factors relevant to natural environment, and factors relevant to socioeconomic conditions. Results: By referring to research results, Vietnamese construction contractors will be able to come up with workable solutions towards a better performance of construction workers. Conclusion: On that basis, the productivity of construction firms and the workers will be improved correspondingly.