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Despite endeavors to alleviate construction and demolition waste and the indications that the process of deconstruction has the potential to steer waste reduction initiatives, there has not been a progressive increase in the adoption of Design for Deconstruction (DfD) in the global south, especially Ghana. This paper aims to identify and analyze the barriers to implementing DfD in developing countries.

A structured questionnaire survey was used to solicit the views of 240 design professionals in the Ghanaian construction industry (GCI). The questionnaire was developed by reviewing pertinent literature and complemented with a pilot review. Data were analyzed using descriptive and nonparametric statistics.

The findings revealed ten (10) significant impediments to implementing DfD within the construction industries in developing economies. These impediments revolve around cost, legal matters, storage, incentive and design-related matters. Key among these barriers is “For recovered materials, there are little performance guarantees,” “The absence of strict regulations regarding design for deconstruction,” “Lack of a large market enough for components that have been recovered,” “The need for building codes that address how to design with reused materials” and “Lack of effective design for deconstruction tools.”

The results of this research shed light on a relatively unexplored area within the construction sector, particularly in a developing country like Ghana. Furthermore, to the best of the authors’ knowledge, the study contributes fresh and supplementary knowledge and perspectives regarding the challenges in implementing DfD practices.

Public-private partnership (PPP) power projects are associated with varying risk factors. This paper aims to develop a fuzzy quantitative risk allocation model (QRAM) to guide decision-making on risk allocation in PPP power projects in Ghana.

A total of 67 risk factors and 9 risk allocation criteria were established from literature and ranked in a two-round Delphi survey using questionnaires. The fuzzy synthetic evaluation method was used in developing the risk allocation model.

The model’s output variable is the risk allocation proportions between the public body and private body based on their capability to manage the risk factors. Out of the 37 critical risk factors, the public sector was allocated 12 risk factors with proportions = 50%, while the private sector was allocated 25 risk factors with proportions = 50%.

To the best of the authors’ knowledge, this research presents the first attempt in Ghana at endeavouring to develop a QRAM for PPP power projects. There is confidence in the model to efficiently allocate risks emanating from PPP power projects.

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.

The demand for power has surged in recent times and continues to increase yearly. In comparison to developed countries, the power industry’s risks, especially in piblic–private partnership (PPP) projects, are more complex and essential in developing countries. Appreciating the inter relationship among these risk factors is crucial. However, there exist no studies developing quantitative models to explain how various PPP power risk factors influence each other, especially in developing countries like Ghana. This study aims to investigate and model the relationship, the probability of occurrence and severity of impact of PPP power risk factors in Ghana.

Data were collected through ranking type questionnaire in a two-round Delphi survey with 48 respondents using purposive and snowball sampling techniques. partial least squares structural equation modelling (PLS-SEM) was used for analysis of data.

A model was developed to investigate the influence the risk factors inherent in PPP power projects have on each other. Validity of the model was tested based on the data collected. PLS-SEM results indicated the various relationships and interdependencies the risk factors had on each other considering their probability and severity. Both significant and insignificant levels of relationships were found among the various risk factors.

The SEM that was developed to assess the relationships among the risk factors has great value for policy makers in the energy sector, industry practitioners, researchers and industry practitioners. Strategies can be mapped out to mitigate and effectively allocate the risks with the high interdependencies.

Regarding the quantitative impact of the interrelationship among risk factors in PPP power projects, the findings of this research are arguably the first to be presented for the construction sector and contribute to knowledge on PPP practice and further has implications toward achieving power sector risk mitigation.

The UK government has elaborated the effect of late payment on the economy, with its impact on the construction sector being particularly pronounced. This paper aims to evaluate the late payment epidemic that persists within the construction industry, specifically analysing the effectiveness of government-led voluntary payment initiatives.

A mixed philosophical lens is adopted that incorporates both pragmatism and post-positivism to examine the late payment phenomena. Couched within deductive reasoning and a case study strategy, a questionnaire survey was conducted to elicit responses from one-hundred construction professionals. Elucidating upon respondents’ perceptions of the UK’s late payment epidemic, a comparative analysis was undertaken of upstream (main contractor) and downstream (subcontractors/suppliers) contractors through Cronbach’s alpha, descriptive statistics, independence chi-square test, Kruskal–Wallis test and Mann–Whitney U test.

Emergent findings reveal that in practice, the monitoring and enforcement of government-led voluntary payment initiatives has been unprosperous with numerous contractors being forced to adopt indefensibly poor and punitive payment practices. Survey responses and extant literature substantiate and underscore the industry’s need to strengthen voluntary government-led payment initiatives. To create a responsible payment culture, any future code created should be mandatory and enforceable as a self-regulating approach has failed dismally. The work concludes with practical additional measures that could be introduced to create a responsible payment culture and promote ethical trading within the UK construction industry.

This paper constitutes a novel vignette of, and reflection upon, contemporary practice in this area of construction finance and serves to emphasise that very little has changes in the sector despite numerous UK government led reports and interventions.

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.

Inefficiencies in the power sector resulting from underinvesting and underselling reduce the ability of governments to adequately finance energy projects. The purpose of this paper is to explore mechanisms of energy financing, benefits and challenges associated with innovative financing of energy infrastructure as well as strategies to improve innovative financing of energy infrastructure.

Questionnaires were used to elicit responses from respondents. Seventy-eight responses were retrieved. Mean score ranking, Kruskal–Wallis test and discriminant validity were the analysis conducted.

Partial credit guarantee; partial risk guarantee; credit enhancement; and loan guarantees were the significant mechanisms. Production efficiency; reduce pressure on public budgets; access to management expertise; and self-sustainability of infrastructure facilities were the significant benefits. Lack of transparency and adequate data for risk assessment; high up-front cost; heterogeneity, complexity, and presence of a large number of parties; and lack of a clear benchmark for measuring investment performance were the severest challenges. Complete transparency and accountability; political stability and public view on private provision of energy infrastructure services; and macroeconomic environment were the significant strategies.

This study is beneficial to energy sector as the current government of Ghana hints on willingness to involve private sector in management of the power sector.

The novelty of this study is that it is a pioneering study in Ghana on innovative financing of energy infrastructure.

The purpose of this study is to develop a framework to guide green cities development in developing countries. The study adapted and validated indicators that can be adopted, to predict, estimate, depict and measure green city development in developing countries. In using a covariance-based structural equation model (CBSEM), the study developed a framework for green cities development in developing countries using Kumasi city (Ghana) as a case study.

To test the proposed framework, a quantitative methodology was used, in which, data was collected using research questionnaires that targeted a sample of 200 green city experts. In total, 154 useable questionnaires were retrieved, representing a response rate of 77%. The confirmatory and exploratory factor analyses were adopted in a CBSEM.

The indices reported were indicative that the model/framework is a good fit for the data. This points to the direction that the model for measuring green city development was statistically significant and acceptable. The results of the confirmatory factor analysis revealed a robust fit of the indices, as they met the standardised cut-off points and as such the model fits the data.

This novel research is one of the few studies investigating green cities development in Ghana which could serve as a lesson for other developing countries. The proposed green city framework will serve as a guide to stakeholders in identifying the key indicators/factors that are critical to green city development in developing countries, especially Ghanaian cities.

This study proposed a green city framework to guide the development of green cities based on the local context of Ghana.

This case is intended for use in undergraduate, MBA and Executive Education courses in Strategy, Business in Africa, Entrepreneurship and Investing in Emerging Markets.

Strategy, Business in Africa, Entrepreneurship and Investing in Emerging Markets.

Eric Kyere founded Brouges in 2015, an African brand, with the objective of designing, manufacturing and selling great shoes. His original plan was to produce Brouges’ shoes in Africa, but had several problems with suppliers (e.g. poor quality, poor raw materials, etc.). Therefore, Brouges had to partner with a European manufacturer to produce its first batch of shoes. Shortly thereafter, Eric partnered with Michael Asare Bediako, a young Ghanaian investor and entrepreneur, who had advanced plans to build a shoemaking factory in Ghana. The factory was likely to open in early 2021, following major delays caused by the COVID-19 pandemic. This would be a major milestone for Brouges and a key step in Eric’s entrepreneurial journey. However, how can Eric and Brouges manage the challenge of growing and building a manufacturing and retail organization? How could they succeed where others had failed?

This case has five pedagogical objectives: strategic choices: evaluate the strategic choices that companies need to make (based on their predefined goals and aspirations) and show that they are effectively an integrated cascade of choices that need to be consistent and coherent; strategic planning: apply and analyze the key steps and key decision to be made as part of a high-level strategic plan; value proposition: apply and analyze the concept and key components of a company’s value proposition, leveraging Tovstiga’s framework; doing business in Africa: evaluate the specific generic challenges of doing business in Africa, particularly in the manufacturing sector; generalizability of frameworks: this case shows that the same frameworks that are used to analyze large firms and mature markets can be applied to smaller firms in less developed markets.

This case is intended for use in undergraduate, MBA and Executive Education courses in Strategy, Business in Africa, Entrepreneurship and Investing in Emerging Markets.

Teaching notes are available for educators only.

CSS: 3 Entrepreneurship.