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This study aims to analyse consumers' preferences for domestic chicken cut parts and the premium they are willing to pay for the various parts using data from a contingent valuation survey of individual chicken meat consumers in the Kumasi Metropolitan Area of Ghana.

The willingness to pay premiums are obtained using the double-bounded dichotomous choice approach. Determinants of the consumers' willingness to pay amounts are identified through a multivariate Tobit regression analysis.

The study finds that the wing is the most preferred chicken part by the consumers followed by the thighs. All consumers who express interest in a particular domestic chicken cut part are willing to pay a premium. Age, sex, years of formal education, household size and income level of the consumers as well as convenience, product availability and perceived wholesomeness of the product are identified as the key factors that influence the willingness to pay amounts.

The findings and recommendations of this study could serve as a guide to domestic poultry meat producers and investors in Ghana and other developing countries on how to process or package the meat for the market or consumers. This could further contribute to policy formulation regarding the development of the domestic poultry meat industry.

The uniqueness of this study is seen in the contributions it makes to the literature on consumer preferences and willingness to pay for chicken cut parts from a developing country perspective where the market for these products is virtually non-existent.

This study was conducted to identify, summarise, analyse and categorise mobile device applications (Apps), relevant to the construction industry and to explore their uses and exposure levels.

The research method involved reviewing literature and searching for Apps. The construction Apps were found by developing key phrases. These key phrases were used to develop search strategies, which were then used to find the construction Apps. The Apps found were categorised based on the similarity of their uses.

The 136 Apps identified were summarised, analysed, and categorised into 11 groups of distinct construction operations and tasks. The “Design and Drawing Apps”, “Measurement and Estimation Apps”, “Management Apps”, “All Round Apps” and “Construction Site Apps” recorded 29, 28, 26, 21 and 11 numbers of Apps, respectively. The Autodesk Sketchbook, GPS Field Area Measure, MagicPlan, Measure and TSheets were the top five in terms of the number of downloads. These Apps in terms of their exposure levels in the construction industry record 4.76%, 2.38%, 0.52%, 0.48% and 0.42%, respectively.

This paper provides a catalogue of the continuum of construction Apps for a wide variety of construction operations/activities which are available for construction professionals and provide guidance on their uses to assist in selecting appropriate Apps for specified operation/tasks/activities in the construction industry. Construction professionals may benefit from increased productivity, efficiency and ease of working.

This paper aims to provide empirical evidence on the El Nino and its effects on maize production in three municipalities: Ejura, Techiman and Wenchi in the transitional zone of Ghana. Using a mixed approach, the study details the effects of the El Nino on rainy season characteristics, particularly, rainfall amounts and distribution, onset and cessation of rains, duration of the rainy season and total seasonal rainfall and how it impacted smallholder maize production.

The study used a mixed method approach in collecting and analyzing data. For stronger evidence building, (Creswell, 2013) the authors combined interviews and focus group discussions (FGD) to collect the qualitative data. Semi-structured questionnaires were administered to extension officers, management information system officers and other relevant personnel of the Ministry of Agriculture in the three municipalities. Six FGD’s were held for maize farmers in six communities in all three municipalities.

The study shows that the 2015 El Nino had dire consequences on farm yields, subsequently affecting farmer’s incomes and livelihoods. The study further finds that complex socio-cultural factors, some unrelated to the El Nino, aggravated the effects on maize farmers. These include the lack of adequate climatic information, predominance of rain-fed farming, a lack of capacity to adapt and existing levels of poverty.

The study recommends inter alia, appropriate use of seasonal rainfall forecasting to enhance better farming decision-making and the development of elaborate climate variability interventions by national and local agencies.

The purpose of this paper is to empirically test for submarket existence based on an understanding of the residential rental housing market in Ghana.

Based on extant literature and market observations, the authors provide key concepts and an overview of the residential rental market dynamics in Ghana. Reseachers appreciate that submarkets may exist in the Ghanaian rental market but have ignored the empirical testing for submarket existence due to data asymmetries. Based on real estate experts and stakeholder consultations, a priori delineation of submarkets are constructed based on spatial, structural and a nested approach. Submarket existence is tested using the Kruskal–Wallis H test and Hedonic modelling techniques.

By using fieldwork data from Accra rental market, the analysis provides credence to the conceptualisation of submarkets and how to empirically test for same. It is argued that researchers should use alternative methods to compare results to make far-reaching conclusions.

Examining the hypothesis that differential rental values exists for submarkets has implications for policy decisions to target submarket constructs differently to improve market maturity.

The research provides stakeholder investors in the rental space an understanding of market dynamics for profit maximisation, and end-users to maximise utility in deciding where to live – and as such households could benefit from making informed investment decisions on housing.

This research is one of the first attempts to empirically identify and test for submarkets existence in Ghana’s residential rental housing market.

Supply chain (SC) disruption, whether demand sided or supply sided, is conversely perceived to affect organisational performance of construction firms. This paper, therefore, aims to examine the linkage of supply chain disruptions with organisational performance of construction firms through the moderating role of innovation.

Using a quantitative research, approach the views of 84 construction professionals were elicited using a structured questionnaire. Ordinary least squares were utilised to validate the hypotheses set.

The study proved that there is a negative relationship between demand-related disruption and business performance as well as project performance. Also, it was clear from the study that supply-related disruptions had a significant impact on both project performance and business performance. Although SC innovation was seen to impact business performance, it had no relationship with project performance. Generally, innovation was seen to have a moderating effect of demand and supply disruption of project performance, but it played no moderating role in business performance.

The findings suggest that business firms must be innovative with the supply chain, as it moderated project success. The supply chain of a construction firm plays a very critical role on projects; hence, this study recommends that a supply chain manager ought to be innovative in their operations due to the moderating role SC innovation has on project performance and largely business performance.

Various studies on supply chain has been done on different sectors in the economy; however, little can be said about the construction industry on how supply chain disruptions affects business and project performance and how innovation moderates such effects.

The study aims to examine the factors influencing the choice of private and public hospitals in Ghana.

Purposive and convenient sampling techniques were used in selection of 225 respondents for the study. An independent samples t-test was used in ascertaining the significant difference in the opinions of both groups. Finally, binary logistics regression was used in ascertaining the factors that significantly influenced the choice of hospitals in Ghana.

In Ghana, patients’ choice of private or public hospital was significantly influenced by service quality, word-of-mouth, type of ailment and National Health Insurance Scheme (NHIS). Patients who made choice decision based on service quality were more likely to attend a private hospital. Word-of-mouth influenced the choice of public hospitals more than private hospitals. Patients preferred visiting public hospitals for more complicated ailments such as spinal defects, HIV/AIDS, heart-related problems, etc. Patients registered under the NHIS also preferred visiting public hospital to private hospital. Although services from private hospitals were more expensive, patients were more satisfied with services provided, as compared to patients from the public hospital. Cost of service and patient satisfaction, however, did not have a statistically significant effect on the choice of hospital.

Most comparative studies done on private and public hospitals studied in isolation focused on service quality, customer satisfaction, national health insurance and cost of health care or a combination of them. This study, however, considered all these selection criteria and extended it by adding word-of-mouth and the type of ailments suffered. The study, thus, provided a more comprehensive hospital selection criteria. The use of logistics regression in this particular area of study was also quite unique.

The inception of mobile financial services (MFSs) has positively provoked economic growth and productivity, nonetheless, it has pessimistically caused an upward surge in cybersecurity threat. Customers are progressively becoming conscious of some of the threat and several of them now shun away from some suspicious activities over the internet as a form of protection. This study aims to explore the factors that influence users’ to adopt security behaviour.

A synthesis of theories – Self-efficacy and technology threat avoidance theories – was used to examine the security behaviour of users of MFSs. Data was gathered from 530 students in Ghana using convenience sampling technique. Data analysis was carried out using descriptive statistics, inferential statistics and structural equation model.

Outcome of the investigation indicate that both mastery experience and verbal persuasion have substantial effect on the avoidance motivation of MFSs users. It was, however, found that emotional state and vicarious experience of users do not influence their avoidance motivation. Also, it was established that avoidance motivation is a positive prognosticator of avoidance behaviour.

Understanding the security behaviour of MFS users will help the operators to outline strategies to sustain the successes achieved.

Studies on user security behaviour are rare, especially in sub Saharan Africa, thus, this study will contribute to extant literature by adding a new dimension of user security behaviour.

The purpose of the study is to evaluate key factors considered in the maintenance and management of property and facilities in a public tertiary institution in Ghana, taking reflective cognizance of the poor maintenance culture in the country.

The cross-sectional design was adopted, employing both structured and semi-structured interview questionnaires for quantitative and qualitative interview data, respectively from multiple individuals in the Koforidua Technical University. The Statistical Package for the Social Sciences (SPSS) tool was deployed to analyze the quantitative data, while the focus group interview was recorded, transcribed and thematically analyzed.

The paper reveals the need for a working policy and strategy for the maintenance of public property to ensure sustainability of practices. Essential factors such as effective communication flow and the competence of the maintenance team were highly ranked in the maintenance of public property. The use of computerized systems and other technological tools in maintenance practice featured low, and this calls for improvement in the delivery of maintenance services. Another critical finding was the need for effective engagement of all stakeholders in the planning and development of strategies to improve property maintenance.

The findings have practical implications for practitioners and society at large. Notably, they enjoin public sector institutions to embrace policy-driven public property management and maintenance, strategic outlooks for public property maintenance, technological advancement in property management and effective engagement of all stakeholders in property maintenance delivery.

This paper reviews a collection of maintenance practices and moves further to evaluate them using a case study of a public institution to draw useful outcomes. It offers new knowledge pursued to fill a revealed gap in the literature.

Banking institutions have vigorously pursued the integration of information and communication technology in modern banking services. Unfortunately, empirical support demonstrating the usefulness of this undertaking has largely been scanty. The purpose of this paper is to investigate causal links between the efficiency of information technology (IT) applications and bank performance using data envelopment analysis.

The study adopts the DEA approach to evaluate the bank level cost and IT efficiency. The Vector Error Correction Model Granger causality tests with the forecast error variance decomposition and impulse response functions were subsequently used to examine the causal relationship between the variables.

From the findings, the bank achieved an average level of 99.1 per cent cost efficiency for the sampled period. Also the periods where the bank obtained optimal cost efficiency were in 2005, 2006 and 2014. This culminated into inefficiency scores ranging from 0 to 2.9 per cent, with 2016 financial year as the period of worst cost performance. In addition, the study found that there are both short-run and long-run relationships between IT efficiency and cost performance.

Management should note that any improvement to IT applications may contribute significantly to overall IT performance but for the short period, specifically the first period, by the medium to long-run period, most improvement to overall IT performance emanates from cost performance of the bank.

Some studies have examined the effect of IT on banks in USA and Europe. However, such studies are rare in the African context. This study will contribute to extant literature by add a new dimension of IT and bank efficiency.

Debt sustainability and the growing level of external debt in sub-Saharan African (SSA) continue to be significant research priorities. This study aims to examine the corruption-external debt nexus in SSA economies and whether different levels of corruption better explain this relationship.

The panel quantile regression approach was applied to account for the heterogeneous effect of the exogenous variables on external debts. The research covers 30 years of panel data from 30 selected SSA economies for the period spanning from 2000 to 2021.

The empirical findings of the regression analysis demonstrate the heterogeneous influences of the exogenous variables on external debt. While there was a positive impact of foreign direct investment (FDI) inflows on external debts, corruption established a negative relationship with external debt from the 10th to the 80th quantile. The findings showed a positive link between trade openness and external debt, while they also showed a negative relationship between gross fixed capital formation and external debt.

It is implied that corruption “sands the wheels” of external debts in the selected SSA countries. Therefore, the amount of external debt that flows into SSA is inversely correlated with corruption activity.

To the best of the authors’ knowledge, this study is one of the first to use panel quantile regression to analyze how corruption affects debt dynamics across different levels of debt, allowing for a more nuanced understanding of how corruption affects debt dynamics. Based on the findings of this study, SSA countries should create enabling environments to attract FDI inflows and to continue to drive domestic revenue mobilization and capital so as to be less dependent on external debts.