Statistical equation modeling analysis for industrial projects, designing for critical factors and latent variables: quality, cost, time, and success

Abstract

The literature and viewed items on this subject show no statistical data examination regarding the relationship or approach between critical factors (CF) and their association or significance for project evaluation and corroborate for successful realization. Executives, project managers, and staff members have no statistical data on the matter and importance regarding CF, the influence for the possible outcomes, and scenarios; these factors and criteria yield neither a basic structural model on project management nor achievement rationale to conduct their time, process standards, efforts, and resources. For this work, we analyzed the basic formats of scientific articles under definite and established methods to develop a scientific study and strategies to determine an evaluated structural model, with the goal analysis methodology for the management on industrial projects, identifying sequence patterns, articles, classification factors, calculations frequency factors, and statistical relationships between them, within the proposed path diagram structural model, simulated and exanimated regarding success.