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A major concern for construction professionals at the rural road agency in Ghana is the problem of fixing contract duration for bridge construction projects in rural areas. The purpose of the study was to develop a tool for construction professionals to forecast duration for bridge projects.

In all, 100 questionnaires were distributed to professionals at the Department of Feeder Roads to ascertain their views on the work items in a bill of quantities (BOQ) that impact significantly on the duration of bridge construction projects. Historical data for 30 completed bridge projects were also collected from the same Department. The data collected were executed work items in BOQ and actual durations used in completing the works. The qualitative data were analysed using the relative importance index and the quantitative data, processed and analysed using both the stepwise regression method and artificial neural network (ANN) technique.

The identified predictors, namely, in-situ concrete, weight of prefabricated steel components, gravel sub-base and haulage of aggregates, used as independent variables resulted in the development of a regression model with a mean absolute percentage error (MAPE) of 25 per cent and an ANN model with a feed forward back propagation algorithm with an MAPE of 26 per cent at the validation stage. The study has shown that both regression and ANN models are appropriate for predicting the duration of a new bridge construction project.

The predictors used in the developed models are limited to work items in BOQs only of completed bridge construction projects as well as the small sample size.

The study has developed a working tool for practitioners at the agency to forecast contract duration for bridge projects prior to its commencement.

The study has quantified the relationship between the work items in BOQs and the duration of bridge construction projects using the stepwise regression method and the ANN techniques.

Determining the duration for road construction projects represents a problem for construction professionals in Ghana. The purpose of this paper is to develop an artificial neural network (ANN) model for determining the duration for rural bituminous surfaced road projects.

Data for 22 completed bituminous surfaced road projects from the Department of Feeder Roads (rural road agency) were collected and analyzed using the principal component analysis (PCA) and ANN techniques. The data collected were final payment certificates which contained payment bill of quantities (BOQ) of work items executed for the selected completed road projects. The executed quantities in the BOQ were the total quantities of work items for site clearance, earthworks, in-situ concrete, reinforcement, formwork, gravel sub-base/base, bitumen, road line markings and furniture, length of road and actual durations for each of the completed projects. The PCA was first employed to reduce the data in order to identify a smaller number of variables (or significant quantities) that constitute 81.58 percent of the total variance of the collected data. The ANN was then used to develop the network using the identified significant quantities as input variables and the actual durations as output variables.

The coefficient of correlation (R) and determination (R²) as well as the mean absolute percentage error (MAPE) obtained show that construction professionals can use the developed ANN model for determining duration. The study shows that the best neural network is the multi-layer perceptron with a structure 3-38-1 based on a back propagation feed forward algorithm. The developed network produces good results with an MAPE of 17.56 percent or an average accuracy of 82.44 percent.

Apart from the fact that the sample size was small, the developed model does not incorporate the implications of other likely factors that may affect contract duration.

The outcome of this study is to help construction professionals to fix realistic contract duration for road construction projects before signing a contract. Such realistic contract duration would help reduce time overruns as well as the payment of liquidated and ascertained damages by contractors for late completion.

This paper proposes an alternative way of determining the duration for road construction projects using the total quantities of work items in a final payment BOQ. The approach is based on the PCA and ANN model of quantities of work items of completed road projects.

Product rebranding is increasingly popular, but brand managers are sceptical about its implications on brand loyalty (BL). Given the limited empirical literature on the subject, this study examines the interrelational effect of brand attachment (BA), brand distinctiveness (BD) and consumer attitudes (CA) towards product rebranding on brand loyalty (BL).

The study adopted the quantitative survey design and used questionnaire to gather data from 349 consumers of rebranded water, alcoholic and non-alcoholic beverages. Structural equation modelling was used to analyse the data. This study integrates psychology theories into brand management research to propose and test a holistic model.

The study found a significant effect of BA on CA toward product rebranding, and CA toward product rebranding fully mediates the relationship between BA and BL. Furthermore, BD has a significant effect on BL, and further moderates the relationship between BA and BL.

This study offers a fresh theoretical foundation, conceptual clarity and understanding of how rebranding specific brand elements affect the attitudes and BL of consumers who are emotionally connected to a brand. This paper offers practical insights into the implication of product rebranding on CA, BD and BL. It reveals a holistic guidance to brand managers on how to use their unique knowledge about their consumers to create distinctive brands and emotional affection, passion and connections to their brands.

The purpose of this paper is to establish how small- and medium-sized enterprises (SMEs) in water, beverage, soap, detergent, metal fabrication, wood and furniture manufacturing industries can sustain or improve their competitive advantage by integrating specific resources and capabilities. The paper seeks to offer an alternative framework “resource capability-based view (RCBV)” that provides a strategic marketing direction for SMEs regarding how innovative marketing practices and dynamic marketing capabilities integrate to create sustainable market advantage.

This current paper employed a quantitative survey design with a positivist methodological research paradigm. The paper used a multi-stage stratified and simple random sampling technique to collect data from 591 manufacturing SMEs in Ghana. SMEs in water, beverage, soap, detergent, metal fabrication, wood and furniture manufacturing industries were sampled for the study. A structural equation model was employed to test the study hypotheses to arrive at the findings.

The study found that product design and packaging innovations, promotion innovations, retail innovations and pricing innovations provide sustainable market advantage for water, beverage, detergent and metal fabrication SMEs. The paper also found that new product designs and packages are the major drivers of sustainable market advantage followed by innovative retail outlets. The paper further originated that integrating marketing competence (marketing resources and marketing capabilities) and innovative marketing activities provides a marginal improvement in competitive advantage. Physical resources may result in market advantage but integrating physical resources with dynamic marketing capabilities provides sufficient competitive sustainability in a competitive market.

SMEs in water, beverage, soap, detergent, metal fabrication, wood and furniture manufacturing industries should prioritise their key marketing resources and capabilities in product designs, promotion, pricing and retailing innovations in order to sustain market advantage. Old products should not be faded from the market but rather SME managers should employ innovative retail strategies, such as eco-friendly advertising, product re-branding and digital platforms (social network sites and websites), which are important to sustaining market performance. Government must develop targeted policies to bridge the information gap between SMEs and research institutions such as universities through regular subsidised entrepreneurial training and creation of semi-annual industry-academic fairs. The main theoretical contribution of this current paper is the development of “RCBV” as a framework which shows how SMEs can integrate specific resources and capabilities to achieve sustainable market advantage. This framework offers an integrative view of conventional resource-based view and dynamic capability theory (DCT) which are independently examined in the literature.

This current study has proposed an integrated and elaborative approach to the conventional resource-based view and DCT which does not provide a composite understanding in the literature. SMEs may lack the needed resources and capabilities to introduce new products or extant product lines but this paper has demonstrated that how SME can sustain market advantage of existing product(s) by synchronously using specific marketing resources and capabilities. The proposed framework offers a guide for SMEs to integrate their physical resources and capabilities to sustain their market advantage.

This paper intends to provide a thematic literature review of the scholarly research articles orbiting the Sino–African education cooperation and exchange, published between 2005 and 2022.

The methodology used in this paper is qualitative in nature with a thematic approach. The author used content analysis techniques to spotlight the major themes of the topic studied. The author selected the papers and theses, based on their heuristic capacity, from two major databases for the English and Chinese literature: Web of Science and CNKI. The selection process resulted in 60 high-quality peer-reviewed articles and theses. Another 30 research articles and theses were used as supplementary resources.

The literature concentrates on six points: the historical development, the nature of the exchange, the frameworks of the cooperation, vocational training and knowledge transfer, African students in China and their experiences, and education cooperation and soft power. However, research tends to be somewhat polemical rather than an academic debate between Chinese researchers and their western peers. Therefore, empirical studies beyond the geopolitical preoccupations and the “YEA” or “NAY” to the Sino–African education exchange are critically needed.

The implications of this study go beyond the east/west or developed/developing world rhetoric and focus more on sustainable educational development on a global scale. Understanding how the literature on the Sino–African education engagement is shaping, provides valuable insights into international education in the global south. It can also be implied to approach educational engagement with other destinations such as India, Türkiye and Brazil.

This thematic literature review concentrates on the educational aspect of Sino–African relations. It compares English and Chinese peer-reviewed scholarly articles and theses on China–Africa educational engagement and has heuristic implications for sustainable educational development globally.

This study aims to examine the relationship between financial inclusion and financial system development in emerging and frontier markets.

Using data across 35 countries over 19 years (2004–2022), the improved GMM estimation technique reveals that financial inclusion significantly contributes to the development of financial systems.

The study uses a segmented approach, dividing financial development indices into subindices: financial depth, financial access and financial efficiency. Indicators of bank financial inclusion show a positive and highly significant relationship with bank depth and access but a negative relationship with bank efficiency. Similarly, indicators of the debt market and stock market financial inclusion demonstrate positive relationships with market depth and access but negative relationships with debt and stock market efficiency. The study further examines composite indexes of financial inclusion for bank, debt and stock market segments, finding strong and highly significant relationships with market development. These results underscore the importance of promoting financial inclusion across all segments of the financial sector to achieve an inclusive financial system.

The implications of this research highlight the need for policymakers and practitioners to implement policies and regulations that enhance financial inclusion and foster the development of robust financial systems. By extending access to mainstream financial instruments and services, financial institutions can stimulate financial intermediation and support, thereby accelerating the development of the banking, debt and stock markets.

The study is robust to the use of several indicators of financial inclusion and financial development, and it forms part of the early studies that examine the close relationship between the two variables.

This paper aims to examine the impact of board governance quality (BGQ) and its mechanisms, namely board activity, board independence, board communication and board expertise, on the level of risk disclosure compliance (RDC) among financial institutions (FIs) in Uganda.

The study adopts a cross-sectional design where data are collected through a questionnaire survey and audited financial statements of 83 FIs. The authors employ partial least square structural equation modeling (SmartPLS32.7) to test hypotheses.

The authors find that the level of RDC in Ugandan FIs is low. Further, the study finds the positive relation between BGQ and RDC. Moreover, the authors find that RDC is positively and significantly related with board activity, board independence, board communication and board expertise. Furthermore, the authors find that the level of RDC is positively and significantly related to ownership type, firm size and board size, respectively. Nevertheless, industry type, number of branches and firm age are insignificantly related to RDC.

The study provides relevant insights into regulators and policy makers with early symptoms of potential problems regarding weak board governance in FIs. Policy makers may also use these findings as a guideline tool for improving existing board governance frameworks in place and development of new disclosure policies. In addition, the study provides an input into the review and amendments of existing corporate governance codes for the regulators.

This study offers the empirical evidence on the nexus between BGQ and RDC of FIs in Uganda. Moreover, the study also offers evidence on how BGQ mechanisms impact RDC. The study also further adds theoretical foundations to the RDC literature.

Promoted for its inclusivity, agricultural value chain (AVC) financing leverages social capital and mechanisms such as off-take agreements and forward contracts to reduce borrowing and lending costs and risks for both farmers and lending institutions. AVC financing has been defined as the flow of financial products and services to and among the various actors within the AVC to address constraints of production and distribution and fulfill the needs of those involved in the chain by reducing risk and improving efficiency. This paper investigates how farmers' involvement in AVC affects their access to credit.

The authors collected primary data from 400 crop farmers in northern Ghana through a semi-structured questionnaire and analyzed the data, using the multinomial endogenous switching regression model.

Joint participation in AVC increased the amount of formal and informal credit received by 64 and 78%, respectively, compared to nonparticipation. Similarly, participation in AVC horizontal linkage and AVC vertical linkage increased the amount of formal and informal credit received by 40 and 47% and 46 and 74%, respectively, compared to nonparticipation. Irrigation farming, extension visits, knowledge of AVC in the community, access to a storage facility and trust in contract farming significantly influenced farmers' participation in AVC.

The authors’ work offers valuable insights into how different dimensions of value chain participation can impact smallholder farmers' access to credit. This work also underscores the importance of considering both formal and informal credit sources when analyzing the outcomes of value chain participation. The findings could enable formal financial providers to identify, liaise and/or resource informal financial players such as value chain actors to supply both formal and informal credit to farmers in AVCs.

Using a discrete choice experiment (DCE), this study aims to better understand the job preference of postgraduate students studying at the Kwame Nkrumah University of Science and Technology-Institute of Distance Learning, Ghana and also rank the attributes of a job they deem important.

The research adopted a positivist epistemological design contextualised within a deductive approach and case study strategy. Primary survey data was collected from a stratified random sample of 128 postgraduate students with multi-sectorial career prospects. Sample students were subjected to a DCE in which their stated preferences were collected using closed-ended questionnaires with 28 pairs of hypothetical job profiles. Respondents’ preferences from the DCE data were then modelled using the conditional logit.

The research reveals that: salary in the range GHC 2,800.00 to GHC 3,400.00 ($1 = GHS 5.3); supportive management; very challenging jobs; and jobs located in the city were the top attributes that were significant and had the most impact in increasing the utility of selecting a particular job. Interestingly, jobs with no extra hours workload were not significant hence, had a negative impact upon student preferences.

This novel research is the first to use a DCE to better elicit preference and trade-offs of postgraduate students in a developing country towards varying job characteristics that have an impact on their future employment decisions. Knowledge advancements made provide invaluable insight to employers and policymakers on the key criteria that should be implemented to retain the best candidate.

This study aims to investigate the adoption and use of electronic voting (e-voting) system as an option to credible elections in Nigeria, as well as the factors that could influence the readiness of Oyo state citizens in Nigeria to use the system.

The study adopts the survey research design, while the Technology Readiness Acceptance Model provides the theoretical framework. A two-stage sampling procedure (random and convenience) was used to select 500 Nigerian citizens, who are of voting age, while data were collected with a structured questionnaire.

Findings reveal that the citizens are ready to use the e-voting system if adopted by the Nigerian Government. Optimism and innovativeness are positively correlated, and perceived discomfort and perceived insecurity are negatively correlated, with readiness to use e-voting system by Oyo state citizens. The Technology Acceptance Model constructs (perceived usefulness and perceived ease of use), as well as computer self-efficacy also have positive correlations with readiness to use of e-voting.

The population of the study was limited to only citizens in one state of the federation; hence, the results cannot be generalised to all citizens in Nigeria.

The study contributes to existing knowledge on adoption and use of technology and confirms that optimism and innovativeness are motivators and discomfort and insecurity are inhibitors of intention to use and actual usage of technology. Hence, these constructs should be taken into account and promoted when Nigeria is planning to adopt the e-voting system.

This paper could assist the Nigerian Government on the factors to consider when implementing the e-voting system.

This paper is one of the first pieces of empirical research that attempted to investigate the factors that could promote acceptance and use of the e-voting system in Nigeria.