A Study of Building Information Modeling Usage through the Perceived Utilization of Facilities Management Training, Building Information Modeling Technical Specifications, and a Quality Building Information Model for Facilities Management at Higher Educational Institutions in Texas

The research for this study investigated the correlation between the perceived usage of Building Information Modeling in Facilities Management and; the perceived training level of the FM personnel, the perceived specification requirement and the influence of it by FM personnel, and the perceived quality of the building information model to be used by FM personnel, by the respective institution.

The study began, Phase I, with a diligent review of literature and a scrutinous selection of case studies that provided an identifying mechanism for those elements that possessed the potential to impact the perceived usage of BIM for facilities management in a contained environment. Upon the completion of Phase I, the pilot study and interview process began in Phase II. The interview coupled with the Fault Tree Analysis tool obtained in the literature review derived the conceptual model of the study that ultimately acted as the driver for the generation of the general hypothesis and the subset hypotheses of the study. Once the conceptual model and hypotheses were established, the methodology of the study was outlined. The methodology implemented consisted of both qualitative and quantitative processes. It was in Phase II where the survey instrument was developed. This was manufactured in part by the pilot study interview and research associated with the literature review and the case studies. The population sampling was conducted through a series of targeting techniques in the effort to isolate the highest qualified candidates for the execution of the survey instrument. The survey instrument was distributed and implemented and through a diligent effort the data was collected and prepared for analyses.

The analysis consisted of descriptive and inferential statistics. The analysis of the data was organized in a methodical fashion and structure of the data was characteristic of placeholders and identifiers using a binary coded procedure that allowed the use of the ?R? statistical software tool. ANOVA and MANOVA testing was utilized with interpretations of F-values and P-values indicating the outcomes.

The outcomes indicated that the perceived Usage of BIM was impacted by its subsets of hypotheses; FM Training (H2) and a Quality BIM (H4) with Specifications (H3) not indicating any significance on the perceived usage of BIM.

The subsets of hypotheses concerning the perceived FM Training, the perceived Specifications, and the perceived Quality BIM were found to exhibit significance independently.