home   structure    disabled Versija neįgaliesiems  
         
   
Lietuvos socialinių mokslų centro Ekonomikos ir kaimo vystymo institutas
 
  LT  EN                  El. paštas: laei@laei.lt  
 
 
 
Mokslo publikacijos
2021-08-23

Assessing design information quality in the construction industry: Evidence from building information modeling

Abstract

 

The objective of the undertaken study is to assess the application of Building Information Modeling (BIM) and evaluate the quality of information on construction projects. The paper also focuses on examining the design information quality on construction projects by applying BIM based on perceived variables, for instance, improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations. The first objective was to evaluate the impact of building information modeling on perceived variables such as improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations. We also evaluated the impact of these six constitutes of BIM, for instance, improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations on reducing design information problem. Finally, we have evaluated the mediating impact of improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations between building information modeling and reducing design information problems. In the last, we also examined the impact of BIM on reducing design information problems. In this context, the closed-ended five-point Likert scale adapted questionnaire was distributed among construction professionals, and data were analyzed through structural equation modeling and multivariate techniques using statistical software. The findings demonstrated that BIM has a significant & positive impact on its six constitutes. Additionally, we examined these constitutes such as improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations have a significant impact on reducing design information problems. The results also significantly contributed to the fact that BIM has a significant impact on reducing design information problems, ultimately playing a pivotal role in assessing design information quality on projects.

 

Keywords: Improve workflow; improve collaboration; design visualization; lower cost; energy efficiency; design information quality; structural equation modeling; multivariate techniques.

 

 

 

Asim, J.; Ahmed, R. R.; Streimikiene, D.; Rasheed, S. and Streimikis, J. 2021. Assessing design information quality in the construction industry: Evidence from building information modeling. Acta Montanistica Slovaca. Volume 26 (2) 235–251; DOI: https://doi.org/10.46544/AMS.v26i2.05; [Science Citation Index Expanded (Web of Science); Scopus; DOAJ; Academic Search Premier].

 




derliaus-prognozes4.jpg.jpg.jpg.jpg.jpg.jpg.jpg
Baneris-8.jpg
Virselis_2019_raudona_lt.png
Rural Economic Developments and Social Moments.png.png
Structural_change_productivity.jpg.jpg.jpg
B_34658va3p.jpg
9B08E3R.jpg.jpg
c9l3L9fBmR.jpg
zedine1.jpg
                 
LAEI  |  A. Vivulskio g. 4A-13, 03220 Vilnius  |  Tel. (8 5) 2614525  |  Faks. (8 5) 2614524  |  El. paštas laei@laei.lt  |  Įm. kodas 111952970  |  PVM mokėtojo kodas LT119529716
Valstybės biudžetinė įstaiga. Duomenys kaupiami ir saugomi juridinių asmenų registre, kodas 111952970
  Pagaminta Xserv.lt