Public Enterprise, 2022, Issue 26., Vol.1, Article 2



Profitability prediction in Public Enterprise contracts


Naresh C Saxena
Independent Researcher, Canada


Across the world, the governments are seeking to enhance the performance their public
enterprises This process involves changing the mindset of public enterprise executives
from that of a government bureaucrat to that of a business leader. This includes running
public sector enterprises profitably. As agriculture transforms itself from a subsistence
activity to agribusiness across the world, the importance of agribusiness construction is
increasing. Commercial managers employed by public sector enterprises are asked to
estimate the expected profit on a prospective contract to either decide whether to proceed
with the project or to aid in financial forecasting for the company. The estimation of a
prospective contract’s profitability is generally done by intuition. A mathematical model
to aid in predicting the profitability of a prospective contract would be of immense use to
public sector enterprises and can be used as a tool to ward off political interference.
Furthermore, it would of considerable interest to commercial managers to know the effect
on predicted profitability of a contract should they change the value of an attribute of a
prospective contract. The application will, however, require close interaction between IT
professionals and public enterprise executives.


KEYWORDS: Construction, Agribusiness, Profitability, Machine Learning


Reference to this paper should be made as follows: Saxena, N.C. (2022). Profitability prediction in Public Enterprise contracts. Public Enterprise, 26(1), 25-42.

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