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As public–private partnerships (PPPs) have become preferred and veritable approach to deliver affordable housing, the seemingly lack of understanding of the significant factors that impact on success has become a notable setback. This study aims to delineate significant factors that can support decisions in affordable PPP public housing delivery.

Largely, a questionnaire survey was adopted to elicit insights from practitioners, policymakers and experts to develop an evaluative decision support model using an analytical hierarchy process and multi-attribute utility technique approach. Further, an expert illustration was conducted to evaluate and validate the results on the housing typologies.

The results revealed that energy efficiency and low-cost green building materials scored the highest weighting of all the criteria. Furthermore, multi-storey self-contained flats were found to be the most preferred housing typology and were significantly influenced by these factors. From the model evaluation, the scores on the factors of sustainability, affordability, cultural values and accountability were consistent across all typologies of housing whereas that of benchmarking, governance and transparency were varied.

The decision support factors captured varied dimensions of key factors that impact on affordable PPP housing that have not been considered in an integrated manner. These findings offer objective and systematic support to decision-making in affordable PPP housing delivery.

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.

E-procurement has the advantage of improving the overall performance of construction project delivery. The purose of this study is to uncover the factors influencing e-procurement acceptance in the public sector of Ghana’s construction industry (GCI). Using an extended unified theory of acceptance and use of technology (UTAUT 2), variables that promote the acceptance of e-procurement in GCI were explored.

Data was collected using a mixed method strategy. In the first stage, a semi-structured interview was used to collect, assess and optimize the UTAUT2 model. Thematic analysis was used on the qualitative data, leading to modification of the proposed UTAUT2 model. The study subsequently used a questionnaire survey using the extended UTAUT2 model. Survey data was analyzed using structural equation modelling (SEM), leading to the identification and validation of factors that facilitate e-procurement acceptance in Ghanaian construction as well as the impact of these factors.

The findings of the study reveal that five independent constructs of the proposed UTAUT2 model significantly affects the behavioural intention of practitioners to accept and use e-procurement in the construction industry in Ghana.

The study will be of utility to government agencies, contracting organizations and other construction stakeholders in developing policy and programmes to support e-procurement acceptance within the sector.

This is a new extended UTAUT2 model that is applicable to technology acceptance within the public sector in sub-Saharan Africa.