Designing a Collaborative Algorithm for Performance Evaluation of Construction Companies, using Content analysis

This research introduces a novel model for continuous improvement in construction companies through systematic assessment and content analysis. The primary aim is to create a tool that enables leaders to leverage data for informed decision-making. To ensure the reliability of the data, content analysis has been employed in previous studies to rank the effectiveness of various evaluation methods. This paper develops a matrix comparing the effectiveness of each performance evaluation method against the characteristics of construction companies. Using this matrix, content analysis identifies the optimal combination of methods, leading to the presentation of a new evaluation approach. Following an introduction to construction companies, the paper outlines steps to establish integrated evaluation systems for achieving effective results. The outcome of this research is a validated model that enhances control and management across different sectors and divisions of large construction companies.