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Biofortification is a promising strategy for addressing malnutrition and food insecurity by enriching staple crops with nutrients. However, farmers’ adoption is crucial for their success. This study aims to shed light on Ethiopian farmers' intentions to adopt biofortified orange-fleshed sweet potatoes (OFSP) using the motivation, opportunity and ability (MOA) framework.

This study used data from a cross-sectional survey of 370 sweet potato farmers in Ethiopia. Binary logistic regression analysis was employed to examine the factors influencing farmers' intention to adopt OFSP.

Ability-, motivation- and opportunity-related factors significantly influenced adoption intention. Specifically, knowledge of OFSP benefits, production skills, crop characteristics and access to institutional services positively influences adoption. However, farming experience has a negative effect.

These findings emphasize the importance of educating farmers about OFSP’s high vitamin A content and favourable agronomic features. Additionally, understanding farmers' experiences and enhancing their production skills are crucial for increasing adoption rates. Targeted educational programs and support services can address these gaps and deficiencies.

This study is the first to analyse Ethiopian farmers' adoption of OFSP using an MOA framework. It offers a novel approach to understanding the complex interplay of psychological factors that influence adoption intentions. Furthermore, this study provides valuable insights into the Ethiopian context, filling a gap in the literature. These findings contribute to the development of targeted strategies for promoting biofortified crops in Ethiopia and other similar global contexts.

The purpose of this study is to investigate the effects of entropy generation of some embedded thermophysical properties on heat and mass transfer of pulsatile flow of non-Newtonian nanofluid flows between two porous parallel plates in the presence of Lorentz force are taken into account in this research.

The governing partial differential equations (PDEs) were nondimensionalized using suitable nondimensional quantities to transform the PDEs into a system of coupled nonlinear PDEs. The resulting equations are solved using the spectral relaxation method due to the effectiveness and accuracy of the method. The obtained velocity and temperature profiles are used to compute the entropy generation rate and Bejan number. The influence of various flow parameters on the velocity, temperature, entropy generation rate and Bejan number are discussed graphically.

The results indicate that the energy losses can be minimized in the system by choosing appropriate values for pertinent parameters; when thermal conductivity is increasing, this leads to the depreciation of entropy generation, and while this increment in thermal conductivity appreciates the Bejan number, the Eckert number on entropy generation and Bejan number, the graph shows that each time of increase in Eckert will lead to rising of entropy generation while this increase shows a reduction in Bejan number. To shed more light, these results were further demonstrated graphically. The current research was very well supported by prior literature works.

All results are presented graphically, and the results in this article are anticipated to be helpful in the area of engineering.

This study explores the career development experiences of policewomen in Ghana.

This study used phenomenology to explore the career development experiences of policewomen. The policewomen were purposively selected from the Ghana Police Service. The data were gathered from 23 policewomen. The data were thematically analyzed with the help of the NVivo 14 qualitative software application.

Career leadership orientations, career support mechanisms and career environments shaped the career development experiences of policewomen. These major themes, with related sub-themes and codes, enhance our understanding of these experiences.

The senior management of the Ghana Police Service can eliminate institutionalized gender biases against policewomen by formulating and implementing gender-inclusive and women-sensitive staff development policies.

This study first highlights the importance of career leadership orientations, career support mechanisms and career environment in understanding the career development experiences of policewomen.

The purpose of this study is to examine the impact of public open spaces (POS) on host community in Kano Metropolis.

Two sets of questionnaires and participant observation were used to collect data for the study. The questionnaires were used to elicit information on the socioeconomic characteristics of residents and users, a total of 140 residents and 70 users were selected for the study using random sampling without replacement.

Findings revealed majority of the residents earn above 25,000 naira monthly with a percentage of 32.85% while patrons were dominated by respondents that earn below 25,000 monthly. Also, majority of the respondents (94%) have received formal education. Further findings revealed that POS in Kano Metropolis plays an important role in encouraging recreational activities; although some of the open spaces were to some extent declined, the study confirmed the existence of 28 open spaces from the underlying 35 POS within the metropolis. It is noteworthy to note that males were found to be more (80.9%) among users of all the open spaces in the study area with the least participation from their female counterparts. The study further revealed that the adverse effects faced by users of POS and members of the host communities comprised of lack of facilities within the open space, inadequate security, inadequate lighting, lack of vegetation cover, poor parking spaces, breaching the public peace while the residents perceived the open space as means of obstruction of public facilities, causes accident, causes traffic congestion, environmental pollution, increase in accident, obstruction of public facilities, increased accident, degrades the environment, breaching of public peace, traffic congestion and obstruction of public facilities.

The outcome of the study will raise the awareness of the people on the importance, conditions of facilities and the impact associated with the usage of open spaces on adjoining residence. It will also inform stakeholders the modalities to prevent further decline or conversation of open space to other land use and promote proper management of open space facilities and mitigate its likely negative impact on the environment. This will contribute toward achieving Sustainable Development Goal 11.

The purpose of this study is to empirically analyse the fiscal revenue implications for oil-dependent African countries in the face of low-carbon energy transition (LET).

The study combined the novel fully modified ordinary least squares, dynamic ordinary least squares and canonical cointegrating regressions estimators to analyse secondary data between 1990 and 2020 for the three major oil-dependent African Countries (Algeria, Angola and Nigeria).

The result shows that LET reduces oil revenue and non-revenue for specific countries (Algeria, Angola and Nigeria) and the panel, suggesting that low-carbon energy transiting is lowering the fiscal revenue of oil-dependent African nations.

The seeming weakness of this study is its inability to broaden the scope to include all oil-producing African economies. However, since the study selected Africa’s top three oil-producing states, the sample can serve as a model for others with lesser crude oil outputs.

Oil-dependent African countries must urgently engage in sincere economic diversification in sectors like industry and manufacturing, the service sector and human capital development to promote economic transformation that will enhance fiscal revenue.

With the pace of energy transition towards low-carbon energy, it is not business as usual for oil-rich African countries (Algeria, Angola and Nigeria) due to fluctuating demand and price. As a result, it becomes worthy to examine how the transition is affecting oil-dependent economies in Africa. Also, this study’s method is unique as it has not been used in a similar study for Africa.

This study aims to assess the extent to which Uganda university libraries have implemented digital transformation technologies and to determine the facilitators and barriers affecting the implementation of digital transformation in selected university libraries in Uganda.

This study used a convergent parallel mixed methods design. It was conducted in six selected university libraries in Uganda, which were in three private and three public universities. The study sample included 103 librarians with a minimum qualification of a bachelor’s degree and six library directors.

The findings indicated that there was an average (n = 37, 48.7%) implementation of digital transformation in the selected university libraries in Uganda. Some of the barriers hindering digital transformation included inadequate funding, lack of awareness of digital technologies, inadequate ICT skills, insufficient ICT infrastructure and limited staff among others. There is a need for library management to provide support in the form of funds, policies and human resources to implement such digital transformation.

The criteria for choosing universities were those that have been around for at least 10 years. The reason for this was that it was assumed that these universities would have well-established staff development programmes and procedures as well as be likely to have incorporated technology into their services, including libraries. This study’s limitations stem from the fact that this criterion for selection might not apply to all Ugandan university libraries, particularly those that are less than 10 years old and may not have been well represented in this study.

The magnitude of the problem of digital transformation in university libraries in Uganda is unclear because of the limited research available in the Uganda library and information science field. This study presents the status of digital transformation in Uganda university libraries.

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.

Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.

We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.

This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.

The purpose of this study was to investigate the likely causes of failure of some sections of road pavements in Ajaokuta, Northcentral Nigeria. This was achieved through a geotechnical assessment of subgrade soils in affected areas.

The methods entailed field and laboratory methods and statistical analysis. Subgrade soil samples were retrieved from a depth of 1,000 mm beneath the failed portions using a hang auger. The soils were analyzed for natural moisture content (NMC), Atterberg limit (liquid limit, plastic limit and linear shrinkage), grain size distribution, compaction and California bearing ratio (CBR), respectively.

The results of the geotechnical tests ranged from NMC (12.5%–19.4%), sand (84%–98%), fines (2%–16%), LL (16.0%–32.2%), PL (17%–27.5%), LS (2.7%–6.4%), PI (2.5%–18.4%), maximum dry density (1756 kg/m2–1961 kg/m2), optimum moisture content (13.2%–20.2%), unsoaked CBR (15.5%–30.5%) and soaked CBR (8%–22%), respectively. Pearson’s correlation coefficient performed on the variables showed that some parameters exhibited a strong positive correlation with r2 > 0.5.

Funding was the main limitation.

Comparing the results with Nigerian standards for road construction, and the AASHTO classification scheme, the subgrade soils are competent and possess excellent to good properties. The soils also exhibited very low plasticity, a high percentage of sand, high CBR and low NMC, which implies that it has the strength required for road pavement subgrades. The likely causes of the failures are, therefore, due to the use of poor construction materials, technical incompetence and poor compaction of sub-base materials, respectively.

Micro, small and medium-sized enterprises are the live wire of construction industry in developing countries. These classes of establishments are most affected by economic contraction and turmoil, thus affecting their performance and survivability. Hence, the purpose of this study is to investigate and prioritize the survival determinants of construction consulting organization during economic contraction in Nigeria using quantity surveying firms as a focal point.

The study adopted the descriptive-survey design and quantitative data were collected through questionnaire purposely administered to quantity surveying firms in the Southwestern part of Nigeria. The data obtained from 99 quantity surveying firms on survival determinants were analysed using various statistical analysis such as mean score, standard deviation, Mann–Whitney U test, Kruskal–Wallis H test, and so on. Principal component analysis was used to identify the principal components of survival determinants, while the factors were prioritized using fuzzy synthetic evaluation (FSE).

The result of the analysis reveals eight factors that significantly determines the survival of firms during the period of economic contraction. Furthermore, the eight grouped factors were prioritized accordingly namely firm's innovation and diversification, ownership structure and networking, education level and management skills, and so on.

This study investigated the survival determinants of quantity surveying firms and prioritized it with the opinions of principal partners in quantity surveying establishments. As against obtaining large survey responses from all quantity surveyors in the study area that may not have practical experience of managing firms, the limited responses received provide valid basis to broaden the horizon of professionals and other stakeholders on the key determinants for firms to survive economic turmoil.

This study contributes to the body of knowledge by providing information on prioritized factors that must be considered in an appropriate order by quantity surveying firms to survive economic contraction.