Profile Characterization of Building Information Modeling Users
Author(s): |
Eric Forcael
Carolina Puentes Rodrigo Garcia-Alvarado Alexander Opazo-Vega Jaime Soto-Muñoz Ginnia Moroni |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 13 January 2023, n. 1, v. 13 |
Page(s): | 60 |
DOI: | 10.3390/buildings13010060 |
Abstract: |
Nowadays, BIM (Building Information Modeling) has steadily been introduced into the construction industry as a promising methodology for managing projects. Therefore, it is necessary to study the users of its processes. Worldwide, there are already systems that classify companies according to how they use BIM, although only a few studies have been conducted on how individual users are classified. Hence, the present study sought to develop a model that characterized BIM users based on several parameters. The methodology employed defined variables based on a literature review, which experts subsequently validated. These variables made it possible to develop the measurement instrument: a structured questionnaire applied to construction professionals. The necessary parameters for the user characterization model were extracted using the Partial Least Squares (PLS) method. This model met the structural evaluation and measurement criteria, which confirmed that it was valid and reliable. It was found that three main aspects mainly characterized users: (i) their use and command of the software and the methodology, (ii) the experience and degree of adoption of the technology, and (iii) the individual’s knowledge of process levels and standardization concerning BIM. |
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
10711977 - Published on:
21/03/2023 - Last updated on:
10/05/2023