Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015

Santos, Rúben; Costa, António Aguiar; Grilo, António

doi:10.1016/j.autcon.2017.03.005

Cited by 255 publications

(193 citation statements)

References 196 publications

Supporting

Mentioning

151

Contrasting

Unclassified

Order By: Relevance

“…There exists a growing interest in exploring the factors affecting collaboration in BbCNs (Shafiq et al, 2013), yet anecdotal evidence still refers to knowledge gaps in the Body of Knowledge (BOK) on collaboration in BbCNs (Mignone et al, 2016, Alreshidi et al, 2016, Liu et al, 2016. In this context, no explicit BOK has systematically assessed the specific literature on collaboration in BbCNs, but have focused on the extended BIM BOK instead (Zhao, 2017, Santos et al, 2017. This is a major barrier to identifying required directions for research on any topic that might end up in overlooking central aspects and duplication of efforts (Yalcinkaya and Singh, 2015).…”

Section: Introductionmentioning

confidence: 99%

Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review

Oraee

Hosseini

Papadonikolaki

et al. 2017

International Journal of Project Management

312

244

View full text Add to dashboard Cite

BIM-based Construction Networks (BbCNs) are teams comprising members from several specialist organisations to undertake BIM-related tasks on BIM-enabled projects. Fostering collaboration within BbCNs is a top priority for construction project managers, yet no explicit body of knowledge has focused on investigating the relevant research gaps in knowledge.The present study intends to address this gap by plotting the storyline of relevant research studies in the last 10 years (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016). A "Collaboration Pentagon" consisted of context, process, artefact, structure and agent as the theoretical lens is created through integration of relevant frameworks. The study draws upon a scientometric analysis of 1031 studies on BIM alongside the outcome of a qualitative evaluation of a total of 62 carefully selected papers on collaboration in BbCNs. The findings reveal that the scholarship on collaboration on BIMenabled projects has predominately focused on technology as one antecedent of collaboration while project-related and managerial antecedents have remained under-researched. Moreover, though enhancing collaboration necessitates inclusion of all influential antecedents, studies with such an all-inclusive perspective are non-existent. The study contributes to the field through this inclusive Collaboration Pentagon and by providing a systematic and objective evaluation of available literature on collaboration in BbCNs and uncovering respective gaps. Share of targeted antecedent * 37% 68% 11% 27% 21%Note: The number of studies for each antecedent against the total number of studies focused on collaboration (62)

show abstract

Section: Introductionmentioning

confidence: 99%

Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review

Oraee

Hosseini

Papadonikolaki

et al. 2017

International Journal of Project Management

312

244

View full text Add to dashboard Cite

show abstract

“…An applicable ROI calculation model is also proposed. Regarding the research methods, the authors first performed the analysis of the scientific literature on the ROI concept and on measuring BIM efficiency [2][3][4][5][6][7][8][9]. Then, the logical construction approach is used to propose a specific ROI calculation method.…”

Section: Introductionmentioning

confidence: 99%

Promoting Sustainability through Investment in Building Information Modeling (BIM) Technologies: A Design Company Perspective

et al. 2018

View full text Add to dashboard Cite

Abstract:The aim of this article is to enhance the understanding of how design companies perceive the benefits of Building Information Modeling (BIM) technologies application. BIM is recognized in the literature as a (potentially) powerful driver leading the construction sector towards sustainability. However, for design companies, the choice to invest in BIM technologies is basically an economic one. Specifically, a design company assesses economic benefits and efficiency improvements thanks to the application of BIM technologies. The article discusses the return on investments (ROI) in BIM technologies and reviews ROI calculation methodologies proposed by other authors. In order to evaluate BIM return on investment correctly practical ROI calculations are carried out. Appropriate methods, together with the relevant variables for ROI calculation, are developed. The study allows for adjusting the calculation method making it more accurate and understandable using the Autodesk Revit based ROI calculation of the first year.

show abstract

“…The new industrialization of construction can effectively boost the supply of labor and improve production efficiency. BIM methodology could reduce carbon emissions and mitigate the effects of climate change by enhancing building energy efficiency and reducing total energy consumption [39][40][41][42][43][44]. On the other hand, it can enhance the technological level of architectural production, reduce pollution in the construction process, and improve the safety and quality of construction projects.…”

Section: Resultsmentioning

confidence: 99%

Spatiotemporal Characteristics and Influencing Factors of China’s Construction Industry Carbon Intensity

Du¹,

Wu²,

Wang³

et al. 2017

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Climate change continuously threatens human and ecological environments. As the extravagant greenhouse gas (GHG) emissions are not conducive to preserve the Earth's climate and temperature, many national and international entities have made commitments to minimize the carbon footprint [1]. As the largest energy consumer and carbon emitter in the world, China is facing increasing pressure on cutting its CO 2 emissions down [2][3]. In this context, the Chinese government released a mitigation action plan to reduce carbon emission intensity by 40 to 45% in 2020 based on 2005 levels [4]. Because of the massive utilization of materials Pol. J. Environ. Stud. Vol. 26, No. 6 (2017), 2507-2521 AbstractClimate change continuously threatens sustainable development. As the largest energy consumer and carbon emitter in the world, China is facing increasing pressure to cut carbon emissions. Based on Moran's index I and geographically weighted regression, this paper investigates the spatiotemporal characteristics and the dominating factors of China's province-level carbon intensity in the construction industry from 2005 to 2014, which is aimed at providing a scientific basis for government while implementing a regionaloriented carbon emissions reduction strategy. The empirical results are shown as follows. Firstly, carbon intensity in the construction industry of each province has been decreasing in the past 10 years. Secondly, provincial carbon intensity in this sector shows significant positive spatial autocorrelation characteristics and the degree of spatial clustering of carbon intensity tended to weaken in this period. Third, according to the analysis of the geographically weighted regression (GWR) model, carbon intensity is positively affected by energy intensity while the labor input and production efficiency both have negative effect. Particularly the regression coefficient of labor input is almost twice as large as the other two factors. The results reveal that there is a significant spatial disparity of these three factors in different provinces.

show abstract

Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015

Cited by 255 publications

References 196 publications

Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review

Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review

Promoting Sustainability through Investment in Building Information Modeling (BIM) Technologies: A Design Company Perspective

Spatiotemporal Characteristics and Influencing Factors of China’s Construction Industry Carbon Intensity

Contact Info

Product

Resources

About