A Critical Review of Maturity Model Development in the Digitisation Era

Maturity models assess the prevailing capability level and proffer the necessary capabilities for effective adoption in a systematic roadmap. This is considered essential to achieve diffusion of the emerging technologies. The paper provides a guide to maturity model development in the digitisation era. This study adopted scientometrics and meta-synthesis to critically review and provide guidance on maturity model development. Firstly, bibliographic data was collected from the Scopus database and analysed using Scientometrics. Secondly, developed BIM maturity models were critically reviewed. The study identified areas of maturity model deployment and the industries of deployment. It also identified the present areas of deployment of maturity models. The second aspect critically reviewed selected BIM maturity models through stated parameters and outlined the necessary criteria for maturity model development. Maturity model is widely adopted to achieve optimisation and proper assessment in various industries. The study identified the industries where it is deployed and identified the areas of maturity model deployment in the digitisation era. In addition, it was observed that some existing BIM maturity models do not conform to the various requirements expected of a maturity model. The study is unique in the methods adopted to achieve its results. Also, it identified the areas of maturity model deployment. The study is helpful as it provides the criteria for maturity model development hereafter, while also helping BIM users choose among the existing BIM maturity models. The study is crucial for proper maturity model development in the digitisation era.

[1]  M. Uther,et al.  Loot boxes, problem gambling and problem video gaming: A systematic review and meta-synthesis , 2021, New Media Soc..

[2]  O. Ejohwomu,et al.  Building Information Modelling Diffusion Research in Developing Countries: A User Meta-Model Approach , 2021, Buildings.

[3]  Onur Demirörs,et al.  A reference model for BIM capability assessments , 2019, Automation in Construction.

[4]  Haitao Wu,et al.  A scientometric analysis and critical review of construction related ontology research , 2019, Automation in Construction.

[5]  Chengke Wu,et al.  Overview of BIM maturity measurement tools , 2017, J. Inf. Technol. Constr..

[6]  Peter Bower,et al.  Factors affecting recruitment into depression trials: Systematic review, meta-synthesis and conceptual framework. , 2015, Journal of affective disorders.

[7]  Jörg Becker,et al.  Developing Maturity Models for IT Management , 2009, Bus. Inf. Syst. Eng..

[8]  Bilal Succar,et al.  Building information modelling framework: A research and delivery foundation for industry stakeholders , 2009 .

[9]  P. John Clarkson,et al.  Identifying requirements for communication support: A maturity grid-inspired approach , 2006, Expert Syst. Appl..

[10]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[11]  Hs Jayasena,et al.  Assessing the BIM maturity in a BIM infant industry , 2013 .

[12]  Raja R. A. Issa,et al.  Perceptions of Organizational BIM Maturity Variables in The US AECO Industry , 2012 .

[13]  Hazar Dib,et al.  A Framework for Measuring Building Information Modeling Maturity based on Perception of Practitioners and Academics Outside the USA , 2012 .

[14]  L.A.H.M. van Berlo,et al.  BIM QUICKSCAN: BENCHMARK OF BIM PERFORMANCE IN THE NETHERLANDS , 2012 .

[15]  Michael Rosemann,et al.  Understanding the Main Phases of Developing a Maturity Assessment Model , 2005 .