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Efficient decision-making must be reinvigorated to make a good decision towards retirement by construction workers. In developing countries such as Ghana, researchers conducted investigations into the effects of investing in retirement decision-making and planning, but none has considered to examine and identify the factors/determinants influencing efficient decision-making by construction workers towards retirement. This study aims to examine and identify the determinants/factors that affect the retirement decision-making of construction workers in developing countries such as Ghana.

This study used primary data collected from workers of four construction companies in Ghana. The sampling technique adopted for the study was a purposive sample approach, with a survey questionnaire as a collection instrument. Means score was adopted to reveal the major determinant/factor prioritized by the respondents while binary logistic regression was used to examine and identify the effect of the retirement determinants on the retirement decision of construction workers.

The findings established the main significant determinants impacting retirement decision, namely, “financial condition,” “homeownership,” “age” and “family issues.” Among the determinants, “financial condition” was revealed as the major determinant of retirement decision-making in the construction industry of developing countries, which is an economic condition by which the workers can easily secure credit.

Practically, the outcome of this study serves as a base for policymakers and practitioners in making decisions concerning the retirement of workers, especially construction workers. This study also serves to provide lesson for other classifications of workers aside from the construction workers in Ghana and other developing countries.

This study contributes to knowledge by filling in the lacuna in research by examining and identifying the determinants/factors that impact the efficient decision-making by construction workers in developing countries towards retirement.

Digital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.

Scientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.

The study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.

All stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.

This study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.

While smart building technologies (SBTs) implementation ensures sustainability, their adoption is hampered by latent barriers, especially in project management processes. These latent barriers must be addressed to facilitate the successful and widespread adoption of SBTs. Therefore, this study aims to explore the significant latent barriers inhibiting the project management processes in adopting SBTs in developing countries.

A positivist research philosophy couched within a deductive approach was adopted to undertake a quantitative questionnaire survey of 227 project management and design team participants. Descriptive and inferential analytical tools (including a one sample T-test and exploratory factor analysis) were then adopted to interpret data collected.

The results reveal that the “high cost of smart sustainable materials and equipment” is the major significant barrier hindering the adoption of SBTs in developing countries. Latent barriers were: “structure and time-related barriers,” “construction-related barriers” and “human, policy and cost-related barriers”.

The study contributes novel insights into the prevailing nascent discourse on SBTs from the perspectives of construction project managers and design teams in developing countries, particularly. Furthermore, to the best of the authors’ knowledge, this is the first study that ascertains the significant barriers inhibiting project management processes in adopting SBTs in developing countries.

This study investigates the underlying indicators for measuring the smartness of buildings in the construction industry; where the Smart Building Technology (SBT) concept (which incorporates elements of the Zero Energy Building (NZEB) concept) could ensure efficient energy consumption and high performance of buildings.

An overarching post-positivist and empirical epistemological design was adopted to analyze primary quantitative data collected via a structured questionnaire survey with 227 respondents. The mean ranking analysis and one-sample t-test were employed to analyse data.

Research findings revealed that the level of knowledge of smart building indicators is averagely high in the Ghanaian construction industry. Future research is required to evaluate the awareness level of Smart Building Technologies (SBTs) by construction professionals and identify barriers to its adoption.

A blueprint guidance model (consisting of significant indicators for measuring building smartness) was developed to help improve building performance and inform policymakers.

Globally, waste management has been a topical issue in the past few decades due to the continual increase in municipal solid waste (MSW) generation that is becoming difficult to handle with conventional waste management techniques. The situation is much more pronounced in economically developing countries where population growth rate and urbanisation are becoming uncontrollable. The purpose of this study was to assess the potential for waste to energy generation in the Kumasi metropolis, the second-largest city in Ghana.

To address the objectives of the study, a quantitative research approach, namely, the questionnaire was adopted. The data analysis was done using the statistical package for social sciences version 25, including both descriptive and inferential statistics to give an in-depth meaning to the responses from the participants.

The results showed that several factors hinder waste to energy technology in Ghana; key among them was high capital cost, high operational cost and lack of governmental support and policy framework. The results also revealed that 1 m³ of biogas generated from MSW in Kumasi could generate 36 MJ of energy, equivalent to 10 kW/h.

The unique contribution made by the paper is that it combines expert opinions, empirical data that included time series data and opinion of key actors in the waste management chain in assessing the potential for waste to energy generation in the Kumasi metropolis of Ghana.

Despite the amount of considerable investigations on business models, much studies have not been undertaken in the construction industry emphasising the adoption of green business models to drive sustainable construction. Construction activities continue to increase the carbon footprint and eject contaminated materials into the ecological environment with dire consequences for economic and social sustainability. As a result of the adverse impacts of construction activities, it is necessary for construction firms to rethink their approach to the use of conventional business models. The purpose of this study is to explore a framework for the adoption of green business models to drive sustainability in the construction industry of Ghana.

This research is exploratory due to its focus on emerging economies in which there is a perceptible gap in the adoption of green business models. As a result of this, this paper is entrenched in the interpretivist philosophical stance, which led to the adoption of the qualitative approach. Semi-structured interviews were undertaken involving 13 senior managers of construction firms. A thematic analysis was used with the aid of qualitative data analysis computer software package to code the interview transcripts.

The results demonstrate the six definitions of green business models among the managers of construction firms. The study also shows the need for developing green business models to address the issues of circularity and sustainability goals to reduce carbon footprints in the construction industry. Similarly, the paper found various sources of information to drive the awareness, understanding and adoption of the components for green business models. These sources include international conferences and training workshops on green business models. Finally, the study presents a framework that integrates the building information modelling (BIM) and the Internet of things (IoT) into the components for green business models adoption in construction firms.

There is a need to use the quantitative approach to undertake further empirical studies, as this paper focuses mostly on the qualitative approach to ascertain the nature of the relationship between green business model and the various components of the circular economy in the construction industry.

The study contributes to the existing knowledge on green business models by demonstrating six key pillars of green business models by the inclusion of digital technologies such as BIM and IoT, which hitherto this investigation have not been considered in the adoption of green business models in the construction industry. This study extends the existing knowledge on green business models, which has the potential to increase the awareness and understanding of practitioners and managers of construction firms.

The purpose of this study is to investigate the insurable risks that impacted the operations on complex construction projects in developing countries using Ghana as a case study.

In this study, structured questionnaires were used to collect relevant information from the top management of construction and insurance firms in Ghana, comprising 50 industry professionals. The study adopted the χ² and independent samples’ t test to interpret the responses from participants.

The study revealed the major risks that severely impacted the operations on complex construction projects, including strikes and labour disputes, long waiting time for approval of test samples, damages to property during construction, delay in payment to contractor for work done, poor construction method, pressure to deliver project on an accelerated schedule, labour shortage, permits delayed or take longer than expected, inaccurate materials estimating, change in weather pattern, low productivity of subcontractors and inadequate contractor experience.

The study is expected to contribute to increase in the awareness of the insurable risks and policies that project participants are exposed to, which will serve as a decision-making tool for contract formation.

This study assists in managing construction and insurance firms to note the major risk in managing a complex construction project. In addition to knowing the major risks identified, the study investigates the insurable risk by managing both construction and insurance firms.

Kumasi Metropolis, the second-largest city in Ghana is known to be bewildered with challenges relating to waste management. As a means of solving the waste management challenge, several suggestions are often made for the establishment of a waste-to-energy plant to manage the disposal of waste and generation of income. There have been no studies conducted to determine how economically viable such plants will be. This study aims to examine the economic viability of waste-to-energy generation in the Kumasi Metropolis to find out how economically viable such an approach will be.

To achieve this, a simple debt-equity ratio business model based on discounted cash flow technique was applied to estimate the internal rate of returns (IRR) as a measure of the economic viability and profitability of a modelled 50 MWH waste-energy generation plant in the Kumasi Metropolis. The analysis was performed using the RetScreen Expert Software.

The results show that the IRR and benefits cost ratio of the facility were 36% and 5.8%, respectively, indicating high levels of profitability and economic viability. The study concludes that waste-to-energy generation will be an economically viable venture in the Kumasi Metropolis.

It is, however, important for users of the findings of this study to take caution of the fact that the various assumptions although based on current knowledge and expert opinion may vary with time; therefore, the sensitive analysis on price and costs should always be considered. Practically, this study will contribute to solving the waste management situation in most cities, as well as generating revenue and helping close the energy deficit most developing countries are grabbling with.

The unique contribution of the study to knowledge is that it has professed an alternative analytical and methodological approach to measuring the financial viability of waste-to-energy plants in situations where there is none in the geographical jurisdiction of the proposed project.

The purpose of this paper is to investigate the awareness level of smart building technologies (SBTs) among construction professionals in developing countries such as Ghana, and identify the key factors that have the significant capability of influencing the awareness level significantly.

Data were collected through questionnaire survey from 227 construction design team and project managers in the Ghanaian construction industry. Descriptive analysis and multivariate analysis using multiple regression were used to analyze the data.

Averagely low level of SBTs awareness was observed to exist among professionals in the construction industry of Ghana. The study further revealed “training programs” by organizations and “individual knowledge” as the key factors capable of significantly influencing the level of SBTs awareness in the construction industry of developing countries, particularly Ghana.

This paper identified training programs by organizations and individual knowledge as the two key factors having significant capability of influencing the SBTs awareness in the construction industry of developing countries such Ghana. The two factors can be incorporated in policymaking process via considerations to help create SBTs awareness, such as encouragement of continuous professional development toward smart building concept in relation to construction sustainability.

This study conceptualizes from a systematic professional perspective and provides empirical evidence on the key significant factors capable of influencing the awareness of SBTs in the developing countries such as Ghana.

The insurance sector provides insurance protection for complex project deals in Ghana. The study assesses the service quality of insurance of complex project deals in the construction industry of developing countries, specifically Ghana. The objectives are to identify the insurance typologies in complex project deals in the construction industry, to assess the level of construction insurance quality, and to assess the challenges faced in complex project insurance.

A comprehensive literature review was conducted to analyze the previously related works on insurance in the construction industry. The study then adopted quantitative research strategy where a structured questionnaire survey was used to collect information from construction industry professionals. The data analysis was organized in accordance with the specific objectives of the study with the aid of mean score analysis and independent sample t-test. The study again measured the reliability of the adopted scale using Cronbach's alpha, which indicated that all the items reliably measured what they were intended to measure, and thereby, statistical tools can be applied to give in-depth meanings.

The insurance typologies for complex projects were discovered by the study, as well as the available service qualities of insurance. The study again made it clear that the major challenges capable of affecting complex construction project are low quality of insurance companies' services and the gap in statutory and legal systems.

The major constraint in this study was the issue of taking only Ghana as a developing country to generalize the result. This is then to provide lessons for other developing countries.

The findings from this study will be useful to construction firms, insurance firms, and regulatory bodies by identifying the effectiveness of insurance as a risk mitigation measure in construction. The study will help the insurance firms to better position themselves to meet the demands of the construction industry. As the findings of this study are Ghana-specific, it is also to provide lessons for other developing countries.

This study delves deep into the complex construction project insurance service quality in developing countries, specifically Ghana.