6 research outputs found

    A Critical Review of Maturity Model Development in the Digitisation Era

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    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

    Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa

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    The construction industry has been producing massive data that can be transformed for improved decision-making and better construction project delivery. However, the industry has been adjudged as a slow adopter of digital technologies such as big data analytics (BDA) to improve its service delivery. The implication of this slow adoption is the lack of innovativeness and unsustainable project delivery that has characterised the industry in most countries, particularly in developing ones like South Africa. Therefore, this study assessed the intention to adopt BDA by construction organisations using the unified theory of technology adoption and use of technology (UTAUT) model. A post-positivism philosophical stance was employed, which informed the use of quantitative research with a questionnaire designed to solicit information from construction organisations in South Africa. Data analysis was done using Cronbach alpha to test for reliability and Fuzzy Synthetic Evaluation to evaluate the impact of the different constructs of the UTAUT on the adoption of BDA by construction organisations in South Africa. The study found that variables relating to facilitating conditions, performance expectancy, and social influence will significantly impact an organisation’s intention to adopt BDA. However, issues surrounding effort expectancy, resistance to use, and perceived risk cannot be overlooked as they also have high impact levels. The study provides an excellent theoretical and practical contribution to the existing discourse on construction digitalisation

    Confirmatory Factor Analysis of Performance Measurement Indicators Determining the Uptake of CPS for Facilities Management

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    With the use of cyber-physical systems (CPS) advanced computational capabilities, the delivery of facilities management (FM) mandates are efficiently and effectively conducted. Since performance measurement is an important yardstick in ascertaining the outcome of FM approaches, this study assesses the performance measurement indicators that influence the uptake of CPS for FM functions. Using a structured questionnaire, data were collected from built environment professionals in the Gauteng province of South Africa. Data collected was analysed using a five-stage process which includes: data reliability and validity, descriptive statistics, establishing a difference in groups’ opinion, principal component analysis, and model testing and fit statistics for confirmatory factor analysis. Results from the study indicate that three significant performance indicators are influential in determining the uptake of CPS for FM, which are operations efficiency, facility adaptation, and client’s satisfaction. The study contributes immensely to the body of knowledge. It unveils the significant performance measurement indicators that would help organisations, facilities managers, and policymakers guide their decisions hinged on the espousal of innovative technologies. Furthermore, the study serves as a solid theoretical base for further studies showcasing a roadmap for digitalisation for FM functions by unravelling the significant performance measurement indicators

    Review of Culture in Maintenance Management of Public Buildings in Developing Countries

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    Studies have shown that culture is one of the significant elements that influence the behavior of doing things the right way, without which there is a hindrance to the attainment of set goals. It has also been stated that culture is essential to maintaining public buildings, which is significant to national development. However, the level of abandonment and deterioration of public buildings is high due to a lack of culture among stakeholders in the maintenance process. Therefore, through a literature review from over 100 recent publications, this study measured culture as a variable that influences effective maintenance management of buildings. This was carried out to enlighten maintenance managers and policymakers within the developing countries regarding the significance of maintenance culture and possible measures for improving the attitude of stakeholders on the maintenance process. It was also carried out to develop a new maintenance focus (behavioral change) for maintenance managers and policymakers, especially in developing countries, to manage the available public buildings and other proposed ones effectively
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