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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.

To be able to achieve the uptake and usage of green buildings requires various actors within the construction value chain to be engaged. Despite its global uptake, green building construction is still at its nascent stage in Ghana. Most studies in sub-Saharan Africa point to the lack of knowledge as one of the mitigating factors against its development. However, there is a dearth of studies assessing the level of knowledge of stakeholders. The terms “knowledge” and “awareness” of green building construction are often used interchangeably in the Ghanaian Construction Industry (GCI). This study seeks to unearth the level of knowledge of stakeholders on green building construction through a comparative analysis of construction professionals and demand-side operators.

A structured questionnaire was issued to professionals in the various recognised bodies in the construction industry and public and private institutions in Ghana. Frequency, Kolmogorov–Smirnov test, median statistics and Mann–Whitney U-Test were used to rank and analyse the level of knowledge of stakeholders.

Construction professionals were more aware of green building construction than the demand-side operators. It was further identified that only a few of these stakeholders had hands-on experience as the majority of them have gained their awareness through research studies. Based on the findings of the study, it was revealed that the concept of green building construction is more abstract to stakeholders than practical despite their positive attitude towards its adoption.

Contextually, the study has aided in showing the level of knowledge of stakeholders on green building construction. The findings of the study aside from it aiding policymakers have also helped in identifying the perceptions and attitudes of stakeholders, their strengths and weakness in green building construction. It is recommended that due to the differences in socio-political structures and construction methods, a clear definition of green building based on the availability of resources in the GCI will encourage its adoption.

The study used two stakeholder groupings in the GCI as the unit of analysis. This enabled insightful discoveries into the knowledge-attitude gap of Ghanaian stakeholders that are driving the adoption of green building.

The purpose of this paper is to develop a knowledge elicitation strategy to elicit and compile home energy retrofit knowledge that can be incorporated into the development of an intelligent decision support system to help increase the uptake of home energy retrofits. Major problems accounting for low adoption rates despite well-established benefits are: lack of information or information in unsuitable and usable format for decision making by homeowners. Despite the important role of expert knowledge in developing such systems, its elicitation has been fraught with challenges.

Using extensive literature review and a Delphi-dominated data collection technique, the relevant knowledge of 19 industry experts, selected based on previously developed determinants of expert knowledge and suitable for decision making was elicited and compiled. Boolean logic was used to model and represent such knowledge for use as an intelligent decision support system.

A combination of comprehensive knowledge elicitor training, Delphi technique, semi-structured interview, and job shadowing is a good elicitation strategy. It encourages experts to describe their knowledge in a natural way, relate to specific problems, and reduces bias. Relevant and consensus-based expert knowledge can be incorporated into the development of an intelligent decision support system.

The consensus-based and relevant expert knowledge can assist homeowners with decision making and industry practitioners and academia with corroboration and enhancement of existing knowledge. The strategy contributes to solving the knowledge elicitation challenge.

No previous study regarding a knowledge elicitation strategy for developing an intelligent decision support system for the energy retrofit industry exists.