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The adaptive performance of architects as a key professional in project delivery teams has become important for developing strategies, skills and cognitive behaviours for sustainability of working systems. However, the understanding and knowledge of adaptive performance of architects is lacking in the current literature. Thus, this study fills this gap by primarily assessing the adaptive performance of architects in project teams in project delivery.

By adopting the widely used eight-dimension attributes of adaptive performance, a questionnaire survey was conducted among team participants and stakeholders who directly or indirectly work on projects with architects in the public and private sectors project delivery supply chain in Ghana. A total of 42 responses were subsequently used in a fuzzy set theory analysis being facilitated by a set of linguistic terms.

From the assessment, the overall adaptive performance of architects from the eight-dimension attributes emerged to be fairly high. Additionally, the architects’ performance in the individual eight-dimensions showed varied results. High performance was registered in architects’ ability to handling work stress and cultural adaptability. Also, architects demonstrated a fairly high performance in dealing with uncertain or unpredictable work situations. However, in the cases of learning work tasks, technologies and procedures, interpersonal adaptability and handling crisis and emergency situations, architects were deemed to have low and fairly low adaptive performance among project teams.

Given the vagueness and complexities in understanding adaptability among teams and its assessment, through the use of fuzzy set theory based on a suitable set of linguistics terms, the study presents a novel understanding of the level of architects’ adaptive performance in project teams in project delivery. The findings are extremely useful in helping architects adapt and cope with changing competitive work environment by developing the right cognitive behaviours for task functions and organizational roles, disruptions and aiding their ability to self-regulate.

Creating green design capability readiness has become an emerging necessity toward increasing sustainable performance. However, the understanding of the green design readiness markers for housing delivery is lacking. The purpose of this study is to highlight a green design capability readiness model for affordable housing delivery.

Through the use of the self-determination theory and the Technology–Organization–Environment framework, a comprehensive review of related literature revealed 23 indicators on motivational, technological, organizational and environmental markers for green design practices capability readiness for affordable housing delivery. Adopting a deductive design, a questionnaire was developed from these markers for a survey on practitioners with knowledge and experience in green design, sustainability and housing supply chain through purposive and snowballing sampling. Mean score analysis and fuzzy synthetic evaluation were subsequently used to develop the capability readiness model.

This study affirmed the markers and revealed the top indicators in each of the markers. The markers subsequently accounted for 28%, 29%, 17.7% and 25.3% of green design capability readiness for affordable housing delivery. Accordingly, technological and motivational markers had the greatest contributions to green design readiness for affordable housing followed by environmental marker and organizational being the least.

The findings of this study will contribute to developing the right motivations, technological capability and regulatory factors for green design practices to optimize the capability readiness for affordable housing delivery in Ghana.

The model serves as a valuable resource that could be used to objectively align actions and gauge readiness for green design practices toward sustainability performance improvement in affordable housing delivery. It could also aid in benchmarking the readiness potential of future regulations, policies and motivations for green design practices, concepts and technologies for housing delivery.

Building information modelling (BIM) and augmented reality (AR) are unique technologies in the digitalized construction industry. In spite of the numerous benefits of BIM-AR, its adoption has been at a relatively slow pace. The purpose of this study is to investigate how the factors within technology–organization–environment (TOE) framework influence the adoption of BIM-AR in the context of construction companies in a developing country.

By using a mainly deductive quantitative design, survey data were collected from senior management of built environment companies in Ghana using questionnaires. The study adopted a mixture of both purposive and snowball sampling approaches. Partial least squares structural equation modelling was used to analyse how the factors within the TOE framework explain BIM-AR adoption in Ghana.

Findings from the study show that the top three factors within the TOE framework that facilitate the adoption of BIM-AR include ICT infrastructure within construction firms; the size of the construction firm, which may influence the financial capacity to accommodate BIM-AR; and competitive pressure. The inhibitors of BIM-AR at the company level included external support and trading partners’ readiness.

Implicit is that the significant factors will be useful to policymakers and companies in developing programs that appeal to non-adopters to aid in mitigating their challenges and further enhance BIM-AR adoption.

The value of this paper has been the use of the theoretical framework TOE to explain the adoption factors of BIM-AR in the Ghanaian construction industry. The originality of the paper is further anchored in consideration of BIM-AR, which is quite nascent in emerging countries.

Climate change and global warming are two major ecological concerns. The construction industry has instituted measures such as green construction in response to these concerns. This study seeks to assess the views of architects on the uptake of innovative green construction (IGC) in Ghana.

This study applies the theory of planned behaviour (TPB) to investigate the factors influencing the decision to adopt IGC. A structured questionnaire was issued to architects who have been involved in the design and/or construction of green buildings in Ghana. The dataset was obtained from 61 architects and Partial Least Square was used to analyse the data.

The results show that two TPB factors; attitude and perceived behavioural control are significant determinants of architects’ intention to adopt IGC. Interestingly, behavioural intention did not have an influence on the actual behaviour of IGC adoption. However, perceived behavioural control had a significant impact on the actual adoption of IGC.

Contextually, the findings of the study will contribute to policy development and marketing of various green innovation within the Ghanaian construction milieu. Practically, the study will help encourage stakeholders to build the right capacity and competence towards the uptake of IGC.

The originality of the paper is based on the theoretical framework underpinning the study and the target respondents as the unit of analysis in assessing the full uptake of IGC in Ghana. The utility of the model evinces the role behavioural changes play in ecological development.