Productivity Performance Assessment of a Firm: A Case Study of Infrastructural Construction Company in Nigeria

Abstract

Productivity measures how efficiently production inputs, such as labour and capital, are being used in an economy to produce a given level of output. Productivity growth constitutes an important element for modeling the productive capacity of economies. It also allows analysts to determine capacity utilization, which in turn allows one to gauge the position of economies in the business cycle and to forecast economic growth. The objective of the study is to analyze the impact of productivity, while using the inventory of the construction Company in Nigeria to investigate, measure, plan and control the productivity and performance of a firm. Data used for this study was generated through the firm's annual reports and financial statements. Multiple Linear regression Model developed was used to predict accurately the productivity level of the firm. In order to check the significant and the adequacy of the model developed, the coefficient of correlation(R), coefficient of determination (R2) and adjusted R2 were determined, with an R2 value of 0.983 and an adjusted R2 values of 0.932 obtained indicating that the model is adequate. The result of the study shows that the degree of association and correlation of the data is meritorious. Investigation revealed that factors in both external and internal work environment as well as the firm's policies are unfavorable to the enhancement of labour productivity.

Keywords

• Productivity; Firm Performance; Model, Regression Analysis; Multivariate