Development of a Performance Index Model for Evaluation of BIM-Based Stakeholder Management Using Fuzzy Synthetic Evaluation
Author(s): |
Sulakshya Gaur
Abhay Tawalare |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 23 May 2023, n. 6, v. 13 |
Page(s): | 1441 |
DOI: | 10.3390/buildings13061441 |
Abstract: |
A continuous evaluation of the stakeholder management process can be achieved using definitive key performance indicators (KPIs). An exhaustive literature survey in this direction provided a set of 26 indicators assessed through a questionnaire survey for their possible implications on the stakeholder management process. The survey was conducted among 55 respondents with experience in using building information modeling (BIM) in mega-construction projects. The data were initially analyzed through factor analysis to establish six KPIs. Fuzzy synthetic evaluation (FSE) was used to evaluate the index values of the established KPIs to assess their importance levels. The results presented the KPIs in decreasing order of their index values: asset performance (4.27), open innovation (4.04), project O&M expenses (3.97), design process efficiency (3.95), project execution efficiency (3.90), and stakeholder concerns (3.59). The results generated a stakeholder management process assessment framework and model that provides a clear insight into using an indicator in measuring the specific stakeholder management dimension. The findings of this work can provide definite insight amongst planning managers about the stakeholder management process through the posited indicators. Further, they can adopt measures to improve the stakeholder management process in their respective projects. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10731770 - Published on:
21/06/2023 - Last updated on:
07/08/2023