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This study aims to investigate the effects of moral hazard on quality and satisfaction of public–private–partnership (PPP) construction projects in Ghana.

After undertaking a literature review, questionnaires were used to elicit responses from respondents. Population consisted of quantity surveyors, project managers, procurement officers, consultants, public agency officers involved in PPP projects, private partners and contractors. A total of 211 questionnaires were received from 250 distributed. Purposive and snowballing sampling techniques were adopted. Analytical tools were Cronbach’s alpha for testing reliability, regression, mean score ranking and relative importance index.

Reduced mutual trust and respect, poor clarity of project objectives; consequence on decision-making; less effective construction process; and increased construction risks were the significant effects of moral hazard on satisfaction of PPP construction projects. Value-based effects; manufacturer-based effects; product-based effects; user-based effects; and transcendent-based effects were the significant effects of moral hazard on quality of PPP construction projects.

Construction stakeholders involved in delivering PPP projects ought to take note of the findings and recommendations arising. Further studies should explore the effects on other project performance indicators apart from satisfaction and quality.

This paper extends knowledge in the area of exploring the effects of moral hazard on PPP project satisfaction and quality. The findings are beneficial to both academia and industry practitioners.

In comparison to other countries, power generation in Sub-Sahara Africa is poor. Public–private partnership (PPP) model has become increasingly popular for addressing infrastructural challenges, especially in the power sector. The purpose of this study is to evaluate and classify the factors that influence public sector involvement in Ghanaian PPP power projects.

Using purposive and snowball sampling techniques, questionnaires were used to gather responses from experts in the PPP power sector in a two round Delphi survey. Analytical tools adopted were descriptive statistics, mean score ranking, Cronbach’s alpha and factor analysis.

The most significant factors that influence public sector involvement in PPP power projects were: achieving improved value for money; access to additional capital; increased certainty of projects; greater efficiency of project delivery services; and improved ability to deliver new infrastructure. From factor analysis, the four components were: value for money and efficiency; capital and skills; innovation and technology; and project delivery.

Government bodies in the power sector will benefit from the findings, as it would aid them develop policies that would strengthen regulatory structures as well as institutions.

The purpose of this paper was to first identify and then model the impact of critical success factors (CSFs) of public–private partnership (PPP) power projects.

Review of empirical literature came out with 20 CSFs which were ranked by experts and industry practitioners through a two-round Delphi questionnaire survey.

These CSFs were grouped into CSF groups (CSFGs) using component analysis, and they served as the input variables for fuzzy analysis. The six components were collaboration and transparency, guarantee and permits, socio-political support, expected profitability, technical feasibility and risk allocation (RA). Overall success index of PPP power projects in Ghana was 5.966 and showed there is high impact of CSFGs on project success. Fuzzy analysis also confirmed RA as the most significant CSFG.

The model developed can serve as a multi-dimension CSF framework that can be used as a success attainment tool for PPP power projects. For policy developers and stakeholders, the model serves as a pointer to issues which the government/public sector must focus on to attract huge investments from the private sector in the power sector.

This study aims to identify the critical success factors of public private partnership (PPP) power projects in Ghana and further evaluates the most significant critical success factors (CSFs) influencing both the public and private sector participation in PPP power projects.

Ranking-type Delphi survey in two rounds was conducted to establish a comprehensive list of critical success factors of PPP power projects. Using purposive and snowball sampling techniques, experts were targeted for the Delphi survey. Mean score ranking, Cronbach’s alpha coefficient and Kendall’s concordance were used for analysis.

From the list of 37 critical success factors, 9 CSFs were deemed to be extremely significant. The five topmost CSFs were as follows: shared authority, trust and communication between public and private sectors; necessity of power project; debt guarantee to enable private partner to raise funds from the local or international financial markets; appropriate risk allocation and risk sharing; and thorough and realistic assessment of cost, projections and benefits.

The CSFs identified and prioritized in this study have the propensity to trigger policy development towards the PPP power sector in Ghana and developing countries that shares similar context. This is because the study has wide implications for financing, politics, procurement, regulations, legal and capacity building.

To transition into a green/circular economy (CE), both academics and industrialists have undertaken research into various areas of circular business models (CBM), yet despite numerous studies conducted, the ensuing discourse contains scant information regarding the barriers to CBM adoption in the built environment. Therefore, this present study explores the critical barriers hindering the adoption of CBM in the Ghanaian construction industry (GCI), establishing the criticality of the principal barriers identified.

The mixed philosophies of interpretivism and postpositivism were adopted to deductively analyse primary data collected via a survey questionnaire. A comprehensive literature review was first conducted to identify the barriers of adopting CBM in the construction industry. Data gathered from professionals with knowledge of CBM and the green/CE were then analysed using descriptive statistics and inferential fuzzy synthetic evaluation.

Emergent barriers to CBM adoption in the GCI were identified as institutional barriers (i.e. inadequate technology development and transfer, insufficient green incentives in the industry and lack of institutional framework that promote); proficiency barriers (i.e. lack of understanding of circular business models, inadequacy of expertise amongst construction professionals, unfamiliar techniques associated with circular business models and fear of greater investment cost) and cultural barriers (i.e. cultural reluctancy of clients to embrace circular urbanization, inadequate measurement tool, lack of a culture that encourages community engagement in environmental decision-making, inadequate performance information and database, lack of prior experience of stakeholders, inadequate government policies, low public awareness and lack of manufacturer and supplier support). The fuzzy synthetic analysis confirmed all the principal barriers as critical. These barriers had a respective criticality index of 3.66, 3.59 and 3.39. Evidently, the CBM adoption in the GCI faces major challenges and consequently, sector stakeholders must strategize their organizational undertakings to transition their traditional business models towards innovative circular ones.

This study provides a novel and thorough evaluation on the barriers to CBM adoption and establishes the criticality of the identified barriers. The study's findings offer essential direction to GCI stakeholders and policymakers to facilitate the shift towards a CE in accordance with the United Nations' Sustainable Development Goals (SDGs).

This paper explored the socioeconomic factors affecting green cities development. Extant literature have highlighted green cities as a major path towards sustainability in the construction industry but very little is known on the socioeconomic aspect of green cities and its bid in promoting sustainability in the construction industry; hence, the premise of this study which highlights the socioeconomic factors affecting green cities development in Ghana.

A comprehensive literature review was conducted to identify the socioeconomic factors affecting green cities. A quantitative research strategy was adopted to collect primary data from respondents who have the requisite understanding and knowledge in green cities using questionnaires. The data gathered was then analysed using descriptive statistics and exploratory factor analysis viz principal component analysis.

The socioeconomic factors affecting green city development comprised: Green support mechanisms (i.e. innovation and technology, green city planning (urban planning), stakeholder engagement, awareness, city planning (transportation) and environmental regulations); green inhibitors (i.e. population, culture, housing and policy implementation); green market and finance (i.e. digital finance, green market mechanism, green investment finance, risks and uncertainties, income levels of clients). It was evident that socioeconomic factors are significant to the development of green cities in Ghana and hence policy makers and various stakeholders should prioritize socioeconomic factors in the bid to achieve sustainability through green cities in the construction industry.

This paper presents a foremost and comprehensive study on the socioeconomic factors affecting green cities in Ghana. The study results showed that even though the path to sustainability in green cities has pivoted mainly on environmental factors, socioeconomic factors are also significant to green city development, hence, policy makers and the construction industry should keenly consider the socioeconomic factors affecting green city development in the bid towards sustainability for cities.

There is a clear gap in the literature regarding the factors that determine social conductivity (extent of interactions) in project relationships. This study aims to use social capital theory to answer the research question – What factors determine social conductivity in project relationships?

In the study, the authors use fuzzy synthetic evaluation based on the findings from a survey of 203 project practitioners to quantify the impacts of three principal components of factors determining social conductivity in project relationships.

The study findings reveal the structural, relational and cognitive dimensions of project social capital are all significant (impact levels exceeding 3.50) for determining social conductivity in project relationships. However, the study’s main finding reveals – issues relating to the cognitive dimension of project social capital are the most critical factors determining social conductivity in project relationships (a criticality index of 4.326).

This study provides evidence of varieties of ways social capital can boost the conductivity of project relationships.

The key contributions of this study are linked to the manner in which project social capital determines social conductivity in project relationships. The findings add to previous research by extending the dimensions of the factors that increase social conductivity from relational project social capital to include two new dimensions (the cognitive and structural dimensions of project social capital).

The integration of building information modelling (BIM) and life cycle assessment (LCA) is an effective means of achieving sustainability in the built environment. However, research remains scant on BIM-LCA integration in the Ghanaian construction industry (GCI). This study aims to evaluate the barriers to BIM-LCA integration in the GCI from the perspective of construction professionals.

Epistemologically relevant theory was developed using interpretivism and post-positivist principles and tested using primary quantitative data. Firstly, a comprehensive literature review identified and examined BIM-LCA integration barriers. Structured surveys of 216 Ghanaian construction professionals collected data on BIM-LCA integration barriers. Data was then analysed using exploratory factor analysis.

Findings revealed three clusters of barriers, namely, organisational barriers; technical complexity; and knowledge and education. These findings identify and recommend solutions to BIM-LCA integration barriers to standardise processes, raise awareness and integrate project management systems. BIM-LCA adoption will increase productivity, sustainability, construction sector employment (and skills development) and economic growth. This paper concludes with future research on how artificial intelligence and machine learning could improve BIM-LCA integration in building designs. Such work would reveal how new technologies can be used to overcome adoption barriers and promote sustainable building.

This research provides novel knowledge on the barriers to BIM-LCA adoption in Ghana. Practical recommendations for overcoming these barriers are also proposed, e.g. developing standardised procedures and protocols, increasing awareness and education and integrating BIM-LCA into project management systems.

This paper is a response to the failure of construction firms to use sufficient attention to their working capital management (WCM) practices, resulting in operational challenges, and leading to the collapse of firms in most developing countries. Hence, this study aims to explore the empirical perspective of WCM practices among large building construction firms (LBCFs) in Ghana, to help achieve the Sustainable Development Goal 9.

The study collected primary data through structured survey questionnaires from LBCFs in Ghana. The CEOs/Directors, General Managers and Accountant/Finance of LBCFs in Ghana formed the unit of analysis based on a simple random sampling technique. Mean score, standard deviation and one-sample t-test were used to perform the empirical analysis of the study.

According to this study's empirical results, LBCFs appear to have effective WCM practices in place. This was evidenced in the surveyed responses which indicate that the sector’s WCM practices sound good based on the mean scores and statistically significant as the t-values > 1.664. Notably, LBCFs in Ghana pay their suppliers early to reduce the fear of adverse effect of late payments on their credit history, making them conservative in their approach toward financial management.

This is a pioneering paper in a developing country like Ghana, highlighting the significance of gaining an in-depth understanding of WCM practices among LBCFs. The findings of this study are expected to provide valuable information to industry players toward ensuring WCM efficiencies and can serve as a solid foundation for further empirical studies.

The purpose of the study is to demonstrate the influences of three dimensions of social capital (the structural, relational and cognitive dimensions) on five situated learning processes (institutionalization, socialization, knowledge articulation, experience accumulation and knowledge reuse) in projects.

Drawing on a cross sectional survey, data were drawn from 203 construction professionals in Ghana who have hands-on experience in managing projects. Partial least square structural equation modeling was used to conduct both confirmatory factor analysis and path analysis of the structural model of the relationship between these two constructs.

In relation to the research questions, all three dimensions of social capital have effects of the situating learning processes. However, the research’s key finding is that the relational dimension of social capital exerts much influence on the situated learning processes in projects, with the structural and cognitive dimensions of social capital exerting medium and small effects, respectively.

The study’s key finding implies that – addressing the “relational” conditioners that moderate project participants’ behaviour in social relationships is critical for increasing situated learning activity in projects. These must, however, be complemented by both structural and cognitive factors.

The research findings expand existing frontiers of knowledge by addressing the gap in the literature on the lack of practical demonstration of the influences exerted by the various dimensions of social capital on a situated learning activity in projects.