Scientometric analysis of BIM adoption by SMEs in the architecture, construction and engineering sector

PurposeBuilding information modelling (BIM) has had a significant impact on the architecture, engineering and construction (AEC) sector in the past several years. However, not much is published concerning small and medium-sized enterprises (SMEs) adopting BIM in the construction industry. To address this knowledge gap, a complete and in-depth literature review of the adoption of BIM by SMEs in the AEC sector is conducted in this study. The paper also provides a comprehensive review of the mainstream studies of adoption of BIM in the AEC organisations.Design/methodology/approachBased on a five-stage literature review, 54 articles on the adoption of BIM by SMEs from the period 2009 to 2019 were critically analysed from the following three perspectives: (1) the number of articles produced; (2) the research focus and (3) the author's contributions. The techniques of the visualisation of similarities (VOSviewer) software were used to analyse the citation networks of the 54 articles as identified.FindingsFrom the analysis, it was established that the number of studies on BIM adoption by SMEs in the reviewed journals has not been increasing and not many articles are available. The finding makes the argument that BIM adoption by SMEs is not a focus point but rather the adoption and implementation of BIM is generalised in the AEC sector. In addition, the results revealed that most of the published articles come from the United Kingdom (UK). However, this finding is hardly surprising due to the requirements in the UK, which have made the adoption of BIM mandatory on all publicly funded projects and are at level 2 BIM. The other highly ranked countries by origins of studies on the adoption of BIM by SMEs were found to be Australia and the United States of America (USA), all of which are developed nations or economies. Some key BIM in SME research trends (adoption, enforcement, benefits, strategies, skills gap, awareness, education and training, and technology) were identified and evaluated.Research limitations/implicationsThe results presented in this journal are only applicable to SMEs in the AEC sector. As a result of little available literature on the adoption of BIM in developing countries, the articles have been drawn from developed countries. The dataset was mainly extracted from the Scopus database for the analysis.Originality/valueAn accomplished series content analysis of the implementation and adoption of BIM by SMEs from international construction journals were reported. The study makes significant and emergent contribution by building on the foundation of BIM research in SMEs as well as providing a reference point for the interpretation of findings, as well as directions for future research.

[1]  Mohamad Kassem,et al.  A unified BIM adoption taxonomy: Conceptual development, empirical validation and application , 2018, Automation in Construction.

[2]  Shijing Liu,et al.  Critical barriers to BIM implementation in the AEC industry , 2015 .

[3]  Lamine Mahdjoubi,et al.  A framework to assist in the analysis of risks and rewards of adopting BIM for SMEs in the UK , 2017 .

[4]  Hongyun Si,et al.  Critical Challenges for BIM Adoption in Small and Medium-Sized Enterprises: Evidence from China , 2019, Advances in Civil Engineering.

[5]  Vacharapoom Benjaoran.  A cost control system development: A collaborative approach for small and medium-sized contractors , 2009 .

[6]  Pei-Chun Lee,et al.  Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight , 2010, Scientometrics.

[7]  Christoph Merschbrock,et al.  A Review of Building Information Modelling for Construction in Developing Countries , 2016 .

[8]  Noel Painting,et al.  Scientometric analysis of BIM-based research in construction engineering and management , 2019, Engineering, Construction and Architectural Management.

[9]  Sunday Ajiboye Babarinde,et al.  Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry , 2020 .

[10]  Robert Eadie,et al.  Building Information Modelling Adoption: An Analysis of the Barriers of Implementation , 2014 .

[11]  Khaled Abu Awwad,et al.  Exploring the critical success factors influencing BIM level 2 implementation in the UK construction industry: the case of SMEs , 2020, International Journal of Construction Management.

[12]  Per Anker Jensen,et al.  Building information modelling in Denmark and Iceland , 2013 .

[13]  Christian Koch,et al.  Building information modelling based building energy modelling: A review , 2019, Applied Energy.

[14]  E. Zavadskas,et al.  Critical evaluation of off-site construction research: a scientometric analysis , 2018 .

[15]  Hanbin Luo,et al.  A BIM-based construction quality management model and its applications , 2014 .

[16]  Masoud Gheisari,et al.  Scientometric analysis of research on “remotely piloted aircraft” , 2019, Engineering, Construction and Architectural Management.

[17]  Hussein Onn,et al.  Building Information Modeling (BIM) Application in Malaysian Construction Industry , 2013 .

[18]  Richard M. Burton,et al.  A practical guide for making theory contributions in strategic management , 2018 .

[19]  Yijun Zhou,et al.  Barriers to BIM implementation strategies in China , 2019, Engineering, Construction and Architectural Management.

[20]  Arman M. Kouch.  A Three-Step BIM Implementation Framework for the SME Contractors , 2018, PLM.

[21]  A. N. Guz,et al.  Scopus: A system for the evaluation of scientific journals , 2009 .

[22]  Steve Austin,et al.  An investigation into the implementation of Building Information Modeling in the Middle East , 2017, J. Inf. Technol. Constr..

[23]  Jyh-Bin Yang,et al.  Mixed approach to government BIM implementation policy: An empirical study of Taiwan , 2018, Journal of Building Engineering.

[24]  F. Henry Abanda,et al.  Building Information Modelling in Cameroon: Overcoming Existing Challenges , 2014, Int. J. 3 D Inf. Model..

[25]  C. Aigbavboa,et al.  Macro-maturity factors and their influence on micro-level BIM implementation within design firms in Italy , 2020 .

[26]  Daniel W. M. Chan,et al.  Research trend of joint ventures in construction: a two-decade taxonomic review , 2014 .

[27]  Mike Kagioglou,et al.  BIM adoption and implementation for architectural practices , 2011 .

[28]  Alabi Tobi Michael,et al.  Appraisal of project scheduling in Nigeria construction industry: A case study of Ibadan, Nigeria. , 2018 .

[29]  Chris Harty,et al.  Implementing ‘Site BIM’: A case study of ICT innovation on a large hospital project , 2013 .

[30]  Nicholas Chileshe,et al.  AWARENESS, USAGE AND BENEFITS OF BUILDING INFORMATION MODELLING (BIM) ADOPTION - THE CASE OF THE SOUTH AUSTRALIAN CONSTRUCTION ORGANISATIONS , 2012 .

[31]  Hannah Snyder,et al.  Literature review as a research methodology: An overview and guidelines , 2019, Journal of Business Research.

[32]  E Papadonikolaki,et al.  The actors' perceptions and expectations of their roles in BIM-based collaboration , 2016 .

[33]  Stephen O. Ogunlana,et al.  A study on project success factors in large construction projects in Vietnam , 2004 .

[34]  Albert P.C. Chan,et al.  Review of the application of social network analysis (SNA) in construction project management research , 2016 .

[35]  Weisheng Lu,et al.  Measuring building information modeling maturity: a Hong Kong case study , 2018, International Journal of Construction Management.

[36]  Ali Akbarnezhad,et al.  Factors Influencing BIM Adoption in Small and Medium Sized Construction Organizations , 2016 .

[37]  Brodie McAdam,et al.  Building information modelling: the UK legal context , 2010 .

[38]  Farzad Khosrowshahi,et al.  Roadmap for implementation of BIM in the UK construction industry , 2012 .

[39]  Sidney Redner,et al.  Community structure of the physical review citation network , 2009, J. Informetrics.

[40]  Robert Eadie,et al.  An analysis of the drivers for adopting building information modelling , 2013, J. Inf. Technol. Constr..

[41]  Kerry London,et al.  Comparative analysis of international and national level BIM standardization efforts and BIM adoption , 2015 .

[42]  John E. Taylor,et al.  Antecedents of Successful Three-Dimensional Computer-Aided Design Implementation in Design and Construction Networks , 2007 .

[43]  Francisco Herrera,et al.  Journal of Informetrics , 2022 .

[44]  Peng Wang,et al.  Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology , 2019, Automation in Construction.

[45]  Robert Eadie,et al.  BIM implementation throughout the UK construction project lifecycle: An analysis , 2013 .

[46]  Abdullahi Babatunde Saka,et al.  Impact of variation on project delivery in Oyo state, Nigeria , 2017 .

[47]  Daniel Forgues,et al.  Assessing the performance of the building information modeling (BIM) implementation process within a small specialty contracting enterprise , 2015 .

[48]  Xianbo Zhao,et al.  A scientometric review of global BIM research: Analysis and visualization , 2017 .

[49]  Yaser Gamil,et al.  Awareness and challenges of building information modelling (BIM) implementation in the Yemen construction industry , 2019, Journal of Engineering, Design and Technology.

[50]  Oluwole Alfred Olatunji,et al.  Modelling the costs of corporate implementation of building information modelling , 2011 .

[51]  Ury Gurevich,et al.  Longitudinal Study of BIM Adoption by Public Construction Clients , 2020 .

[52]  V. H. Nam,et al.  A New Efficient Modified First-Order Shear Model for Static Bending and Vibration Behaviors of Two-Layer Composite Plate , 2019, Advances in Civil Engineering.

[53]  Ed C. M. Noyons,et al.  A unified approach to mapping and clustering of bibliometric networks , 2010, J. Informetrics.

[54]  Jungwoo Lee,et al.  Adoption of Information Technology in Small Business: Testing Drivers of Adoption for Entrepreneurs , 2001, J. Comput. Inf. Syst..

[55]  John Tookey,et al.  Building Information Modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges , 2017 .

[56]  Salman Azhar,et al.  Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry , 2011 .

[57]  Justin B. Craig,et al.  Fueling Innovation through Information Technology in SMEs* , 2008 .

[58]  Limao Zhang,et al.  Collaborative relationship discovery in BIM project delivery: A social network analysis approach , 2020 .

[59]  David Rey,et al.  A Computational Method for Estimating Travel Frequencies in Site Layout Planning , 2016 .

[60]  Ali Akbarnezhad,et al.  BIM adoption model for small and medium construction organisations in Australia , 2018, Engineering, Construction and Architectural Management.

[61]  Henk F. Moed,et al.  Integrating research performance analysis and science mapping , 1999, Scientometrics.

[62]  Pete Smith,et al.  BIM Implementation – Global Strategies☆ , 2014 .

[63]  Yacine Rezgui,et al.  Requirements for cloud-based BIM governance solutions to facilitate team collaboration in construction projects , 2016, Requirements Engineering.

[64]  Xiaodan Li,et al.  A review of global lean construction during the past two decades: analysis and visualization , 2019, Engineering, Construction and Architectural Management.

[65]  Dominik T. Matt,et al.  INVESTIGATING BENEFITS AND CRITICISMS OF BIM FOR CONSTRUCTION SCHEDULING IN SMES: AN ITALIAN CASE STUDY , 2018 .

[66]  Bilal Succar,et al.  Macro-BIM adoption: Conceptual structures , 2015 .

[67]  N. Chileshe,et al.  Readiness assessment of public–private partnerships (PPPs) adoption in developing countries: the case of Tanzania , 2020 .

[68]  Kerry London,et al.  Understanding and facilitating BIM adoption in the AEC industry , 2010 .

[69]  P. Love,et al.  A benefits realization management building information modeling framework for asset owners , 2014 .

[70]  Ju-Hyung Kim,et al.  Optimal BIM staffing in construction projects using a queueing model , 2020 .

[71]  Maria S. Plakhotnik,et al.  Literature Reviews, Conceptual Frameworks, and Theoretical Frameworks: Terms, Functions, and Distinctions , 2009 .

[72]  Thomas Kvan,et al.  Collaborative design: what is it? , 2000 .

[73]  F. H. Abanda,et al.  BIM adoption and implementation: focusing on SMEs , 2020 .

[74]  Kenneth T. Sullivan,et al.  How To Measure the Benefits of BIM - A Case Study Approach , 2012 .

[75]  Tahar Kouider,et al.  Comparative Analysis of BIM Adoption Efforts by Developed Countries as Precedent for New Adopter Countries , 2019, Current Journal of Applied Science and Technology.

[76]  Solomon Olusola Babatunde,et al.  Analysis of the drivers and benefits of BIM incorporation into quantity surveying profession: academia and students' perspectives , 2018 .

[77]  Abdul Hadi Nawawi,et al.  Building Information Modeling (BIM): A New Paradigm for Quality of Life Within Architectural, Engineering and Construction (AEC) Industry , 2013 .

[78]  Yacine Rezgui,et al.  Paving the Way to the Vision of Digital Construction: A Strategic Roadmap , 2006 .

[79]  Henry Small.  Visualizing science by citation mapping , 1999 .

[80]  Joseph H. M. Tah,et al.  BIM in off-site manufacturing for buildings , 2017 .

[81]  Masood Fooladi,et al.  A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases , 2013, ArXiv.

[82]  Romuald Szeląg,et al.  The Use of BIM Technology in the Process of Analyzing the Increased Effort of Structural Elements , 2017 .

[83]  Sitsofe Kwame Yevu,et al.  The ecosystem of drivers for electronic procurement adoption for construction project procurement , 2019, Engineering, Construction and Architectural Management.

[84]  G. Shen,et al.  Scientometric review of global research trends on green buildings in construction journals from 1992 to 2018 , 2019, Energy and Buildings.

[85]  Anil Sawhney,et al.  Adoption of BIM by architectural firms in India: technology–organization–environment perspective , 2016 .

[86]  Qinghua He,et al.  Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis , 2017 .

[87]  Abdullahi Babatunde Saka,et al.  Post-contract material management and waste minimization: An analysis of the roles of quantity surveyors , 2019 .

[88]  Perry Forsythe.  The case for BIM uptake among small construction contracting businesses , 2014 .

[89]  Concepción S. Wilson,et al.  The Literature of Bibliometrics, Scientometrics, and Informetrics , 2001, Scientometrics.

[90]  Arto Kiviniemi,et al.  A review of risk management through BIM and BIM-related technologies , 2017 .

[91]  Kudirat Olabisi Ayinla,et al.  Bridging the digital divide gap in BIM technology adoption , 2018, Engineering, Construction and Architectural Management.

[92]  M. Skibniewski,et al.  A literature review of the factors limiting the application of BIM in the construction industry , 2015 .

[93]  Sm Badi,et al.  A social network perspective of building information modelling in Greek construction projects , 2017 .

[94]  Henry G. Small,et al.  Visualizing Science by Citation Mapping , 1999, J. Am. Soc. Inf. Sci..

[95]  Lamine Mahdjoubi,et al.  Critical BIM qualification criteria for construction pre-qualification and selection , 2017 .

[96]  Daniel Forgues,et al.  Embedded contexts of innovation: BIM adoption and implementation for a specialty contracting SME , 2015 .

[97]  David Bryde,et al.  The project benefits of Building Information Modelling (BIM) , 2013 .

[98]  Risto Tulenheimo,et al.  Challenges of Implementing New Technologies in the World of BIM – Case Study from Construction Engineering Industry in Finland , 2015 .

[99]  Donya Mehran,et al.  Exploring the Adoption of BIM in the UAE Construction Industry for AEC Firms , 2016 .

[100]  Christoph Merschbrock,et al.  Where the Gaps Lie: Ten Years of Research into Collaboration on BIM-Enabled Construction Projects , 2017 .

[101]  Mike Kagioglou,et al.  Technology adoption in the BIM implementation for lean architectural practice , 2011 .

[102]  Robert J.W. Tijssen,et al.  Mapping Changes in Science and Technology , 1994 .