Search results

Feedback is crucial in a learning process, particularly in an online interaction where both learners and instructors are distantly located. Thus, this paper aims to investigate the association between feedback strategies, embedded course syllabus and learning improvement in the Sakai Learning Management System.

This paper uses a survey design to collect cross-sectional data from adult distance learning students. The data were analysed using descriptive statistics and a standard multiple regression model in Stata.

The results show that feedback strategies (timing, mode, quality and quantity) and embedded course syllabus have a significant relationship with learning improvement. However, the feedback strategy – target – is not significantly related to learning improvement though it is the highest feedback strategy.

This paper has contributed to the extant literature by providing empirical evidence to support the constructivism theory of learning from a distance learning perspective in a developing country. The study has shown that if the feedback strategies are well managed and applied, they would make a considerable impact on distance education students' academic pursuits. Hence, the paper provides a pedagogical foundation for short and long-term distance learning policy.

This paper analysed the motives behind farmers' savings with Rural and Community Banks (RCBs) and the effect of these savings on rice yield in the Hohoe Municipality of the Volta region of Ghana.

A multi-stage sampling approach was used to draw a random sample of 222 rice farmers, and a structured questionnaire was employed to collect cross-sectional data. A Likert scale was used to rank the motive behind farmers' savings while the endogenous switching regression model was used to estimate the effect of savings on rice yield.

The results of the study showed that most farmers mobilise savings to enhance farm investment which is critical to increasing rice productivity. Improved labour and fertiliser use had a positive influence on rice yield, while farm size had an inverse relation with rice yield. Further, the findings show that savings with RCBs help mobilise the necessary finance to enhance rice productivity. In terms of the treatment effect of savings, the results indicate that farmers who patronise saving products of RCBs recorded a statistically significant average yield of 1.41 Mt/ha more than those not patronising saving products from any bank.

While the literature on agricultural finance focuses largely on credit, this study demonstrates that savings hold significant benefits for the development of agriculture through productivity gains. The importance of this demonstration is further shown by the fact that credit access depends on the ability to save in most developing countries.

There is a need to educate farmers about the essence of patronising formal savings products.

This study represents the first attempt at linking farmers' savings to agricultural productivity using an econometric methodology in Ghana. The study serves as a foundation paper and for that matter will serve as a guide to future research on savings mobilisation and agricultural productivity nexus.

Cocoa is regarded as a brown-golden crop, but its value chain activities are dominated by the elderly. Hence, focussing attention on the young generation of farmers is the surest way to reverse this trend and secure the future of the cocoa industry. This paper, therefore explores factors influencing youth participation in cocoa value chain activities in Ghana.

Primary data were collected using a multistage sampling technique. The authors used a semi-structured questionnaire in collecting data via interviews. Through the theory of utility maximization, a multivariate probit (MVP) model was estimated to identify factors influencing youth participation in cocoa value chain activities in Ghana.

The author found that some of the value chain activities are complementary, while others are substitutes. Participation in cocoa value chain activities is influenced by access to land, participation in training programmes in cocoa production, membership of Next Generation Cocoa Youth Programme (MASO), access to agricultural credit and other demographic characteristics.

Relevant information and youth-targeted projects enhance their participation in value chain activities.

This paper is one of the few studies that empirically analyses drivers of youth participation in cocoa value chain activities in Africa.

This study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana.

Cross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed.

Empirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS.

The available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity.

Leveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana.

The study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana.

The study investigated the effect of marketing communications’ dimensions on brand loyalty in the banking sector.

The study adopted the quantitative research approach which relied on the explanatory design due to the nature of the hypotheses tested. The convenience sampling technique was used to pull 377 customers of a branch of a commercial bank in Ghana. Furthermore, the PLS-SEM technique was deployed to assess the measurement model and test the research hypotheses.

Results show that the following dimensions of marketing communications are significant predictors of brand loyalty: direct marketing, public relations and sales promotion. The exception is advertising, which had an inverse relation with brand loyalty.

The results provide significant pointers to banks’ management that they should deploy a variety of marketing communication channels other than intensive advertising to reach and persuade customers.

The study illustrates the latest effort to extensively provide insights into how commercial banks could leverage marketing communication tools to sustain loyalty in an emerging economy that is intensively competitive.

This study aims to perform a scoping review of the recent studies on critical resources required for the doctoral program by mapping the resources at various levels of Bronfenbrenner's ecological systems and their underlying theories. The study proposes a holistic model of supportive resources in the doctoral education.

The current scoping review is supported by Arksey and O'Malley's five-stage methodological guidance The authors reported sixty-eight articles that were published between 2010 and 2023 and complied with the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews (PRISMA-ScR) checklist.

The study identified two categories of resources that promote doctoral student well-being: personal resources such as research self-efficacy and intrinsic motivation of the doctoral student. Second, the contextual resources provided by supervisors, department, family, peers, institution and Government policy impact the well-being of doctoral students. The study relied on the self-determination and conservation of resources theory to determine doctoral students' stress-free, high-quality research journey.

The study findings can help higher education institutions, supervisors, peers and academicians plan and implement the finest resources to improve the well-being of doctoral students. The institutions can develop a wide range of strategies, tailored supportive programs, and interventions that can help in improving students' mental and emotional health, based on the developed multifaceted resource framework. Doctoral students can also use the review's findings to help them deal with program obstacles by encouraging themselves internally and participating in mentoring programs.

This review article proposes a comprehensive conceptual framework by considering Bronfenbrenner's ecological systems on multilevel resources that help to understand the inter-relationship between resources required in the doctoral student's program.

The aim of this study is to empirically investigate the impact of marketing analytics capability on business performance from the perspective of RBV theory.

This study used a survey method to gather information from 225 food processing SMEs registered with the Ghana Enterprise Agency (GEA) in Ghana’s eastern region. A structural equation modeling (SEM) path analysis was used to assess the impact of marketing analytics capability (MAC) on the performance of SMEs.

The results of the study show that MAC significantly and positively affect the financial performance (FP), customer performance (CF), internal business process performance (IBPP) and learning and growth performance (LGP) of Ghanaian SMEs. The findings of this study also illustrated the significance of MAC determinants, including marketing analytics skills (MAS), data resource management (DRM) and data processing capabilities (DPC), in achieving SME success in Ghana.

The research’s conclusions give RBV theory strong credence. The results of this study also provide credence to previous research finding that SMEs should view MAC and its determinants (i.e. DRM, DPC, MAS) as a crucial strategic capability to improve their performance (i.e. FP, CF, IBPP, LGP). With regard to its contribution, this study broadens the body of knowledge on MAC and SME performance, particularly in the context of an emerging economy.

This study aims to identify the developer’s objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (API) recommendation system for the developers. Moreover, the current study intends to classify current state-of-the-art techniques supporting automated API recommendations.

In this study, the authors have performed a systematic literature review of studies, which have been published between the years 2004–2021 to achieve the targeted research objective. Subsequently, the authors performed the analysis of 35 primary studies.

The outcomes of this study are: (1) devising a thematic taxonomy based on the identified developers’ challenges, where mashup-oriented APIs and time-consuming process are frequently encountered challenges by the developers; (2) categorizing current state-of-the-art API recommendation techniques (i.e. clustering techniques, data preprocessing techniques, similarity measurements techniques and ranking techniques); (3) designing a taxonomy based on the identified objectives, where accuracy is the most targeted objective in API recommendation context; (4) identifying a list of evaluation metrics employed to assess the performance of the proposed techniques; (5) performing a SWOT analysis on the selected studies; (6) based on the developer’s challenges, objectives and SWOT analysis, presenting outlines of a recommendation system for the developers and (7) delineating several future research dimensions in API recommendations context.

This study provides complete guidance to the new researcher in the context of API recommendations. Also, the researcher can target these objectives (accuracy, response time, method recommendation, compatibility, user requirement-based API, automatic service recommendation and API location) in the future. Moreover, the developers can overcome the identified challenges (including mashup-oriented API, Time-consuming process, learn how to use the API, integrated problem, API method usage location and limited usage of code) in the future by proposing a framework or recommendation system. Furthermore, the classification of current state-of-the-art API recommendation techniques also helps the researchers who wish to work in the future in the context of API recommendation.

This study not only facilitates the researcher but also facilitates the practitioners in several ways. The current study guides the developer in minimizing the development time in terms of selecting relevant APIs rather than following traditional manual selection. Moreover, this study facilitates integrating APIs in a project. Thus, the recommendation system saves the time for developers, and increases their productivity.

API recommendation remains an active area of research in web and mobile-based applications development. The authors believe that this study acts as a useful tool for the interested researchers and practitioners as it will contribute to the body of knowledge in API recommendations context.

The purpose of this study is to empirically examine the effect of marketing modification on business performance from the perspective of marketing capabilities theory.

This study employed a survey method to collect data from 225 food processing small- and medium-sized enterprises (SMEs) on the Ghana Enterprise Agency (GEA) registered list in the Eastern Region of Ghana. The effect of marketing modification on the performance of SMEs in the food processing industry was evaluated using a structural equation modeling (SEM) – path analysis.

According to the study’s findings, marketing modification has a positive and significant impact on the financial performance (FP), customer performance (CP), internal business process performance (IBPP) and learning and growth performance (LGP) of Ghanaian SMEs engaged in food processing. The results of this study also demonstrated the importance of marketing modification determinants, such as marketing resources (MR), cross-functional and interenterprise collaboration (CFIEC), architectural marketing capability (AMC) and marketing strategy decision implementation (MSDI), in achieving food processing SME performance in Ghana.

This current research has its limitation, even though its importance has been mentioned earlier. First, the study can be improved by expanding the sample size through the inclusion of other SMEs from other industries since it is industry specific (i.e. food processing SME). Second, this current study was conducted in Ghana. To compare results, the current study may be replicated in other emerging countries. Third, future research studies may consider how business environmental factors such as technological change (e.g. use of artificial intelligence and machine learning) moderate the relationship between marketing modification and SME performance.

The outcomes of this research study are anticipated to give profitable implications to both academicians and practitioners. For the academic aspect, this study provides an important contribution to marketing modification and performance literature by examining the impact of innovative marketing on the performance of food processing SMEs in Ghana. For practitioners, this study indicates that food processing SME owners/managers must focus on marketing modification to develop their performance. The increase in marketing modification application through marketing capabilities such as MR and CFIEC will enable owners/managers to achieve performance targets.

The application of marketing modification among food processing SMEs in Ghana will contribute greatly to their profitability, survival and growth. The growth and survival of food processing SMEs (not limited to food processing SMEs) in Ghana will help in the control of unemployment, which is a major social issue in Ghana.

The study’s findings provide solid support for the marketing capabilities theory. This study also supports the notion that food processing SMEs should perceive marketing modification and its determinants (i.e. MR, CFIEC, AMC and MSDI) as a critical strategic capacity to enhance their performance (i.e. FP, CF, IBPP and LGP). In terms of contribution, this study adds to the body of knowledge already available on marketing modification and business performance, particularly in the setting of an emerging economy.