ABSTRACT
This chapter evaluates existing labour productivity models to choose the most appropriate one. The frameworks include work-based, expectancy, work-study-based, artificial neural network, Triple P, factor, and regression models. As a result, a daily progress report containing all the essential information to obtain the baseline productivity for the construction industry in Ghana, which may lead to an improvement in productivity, will be provided. The entire framework was based on the hypothesis that the influence of exogenous (latent) variables in predicting or deciding successful outcomes is directly related to the overall labour productivity for labour-intensive public works in road building. With the five-factor framework, we can conclude that the labour productivity for labour-intensive public works in Ghana’s road construction is adequately described by this framework.
