International Journal of Business Ecosystem & Strategy (2687-2293)
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Comparative analysis of machine learning algorithms to improve the diagnosis of African swine fever
Get PDFThis study focused on improving the diagnosis of African swine fever (ASF) by improving accuracy, reliability and precision using various machine learning algorithms. Data from the European Union Reference Laboratory for ASF and the EU Animal Disease Information System (ADIS) containing clinical information on wild and domestic pigs were processed and converted into numerical and categorical formats for analysis. Various machine learning models were tested as part of the study, including linear regression, Bayesian regression, support vector machines (SVM), decision trees, random forest classifiers, artificial neural networks (ANNs) and logistic regression. The models were evaluated using metrics such as accuracy, precision, recall, F1-score and root mean square error (RMSE). The results showed that the SVM achieved the lowest performance with 44.4% accuracy, followed by the logistic regression model with 61.5%. The neural network model achieved 69% accuracy, closely followed by the decision tree model with 70%. The linear regression model performed slightly better with 74% accuracy. Bayesian regression achieved a higher accuracy of 80%, while the Random Forest model outperformed all others, achieving the highest accuracy of 88.9%. These results make an important contribution to economic efficiency and innovative applications in veterinary medicine and improve disease management through advanced machine learning techniques
Cyber policy for monitoring and regulating cyberspace and cyber security measures for combating technologically enhanced crime in South Africa
Get PDFAdvancements in science and technology has resulted in substantial transformations inside society. The telecommunications sector has established cyberspace, a virtual domain for online communication, data exchange, and digital interactions. This platform enables individuals to interact and cultivate relationships worldwide, fostering a sense of proximity despite geographical separation. Nonetheless, these improvements provide concerns, since there has been an increase in cyber victimisation via cyberspace, the internet, computer networks, and online systems. Criminals are progressively utilising these technologies to perpetrate illicit actions, endangering individuals, governments, organisations, and institutions.This study analyses the evaluation of cyber policies for regulating, monitoring, and supervising cyberspace activities, along with the implementation of cybersecurity measures to address technologically advanced crime. A mixed methods strategy, including qualitative and quantitative methodologies, was employed for data collecting. The research revealed that although cyberspace provides avenues for social contact, idea exchange, information dissemination, commercial transactions, and additional activities, it remains susceptible to cyber threats including ransomware, fraud, warfare, terrorism, trafficking, and breaches of privacy. Formulating cyber regulations to regulate actions in cyberspace is crucial for efficient law enforcement, alongside the establishment of a cybersecurity framework to safeguard critical cyber systems and bolster security protocols across several sectors. To safeguard both the public and private sectors against cybersecurity risks, it is essential to create and execute plans. These tactics encompass the regular evaluation and auditing of security systems, investment in cybersecurity training programs, maintenance of current systems, formulation and rehearsal of incident response plans, and dissemination of information among experts and professionals
Factors influencing consumer satisfaction and behavioural loyalty in relation to online grocery shopping Apps
Get PDFThis article explores the factors that have an impact on consumers\u27 satisfaction and behavioural loyalty in relation to ordering and delivery applications, focusing on the emerging trend of online grocery shopping. Considering the digital revolution in retail, it is critical to comprehend consumer behaviour in this space. This study offers insights from a sample of 445 respondents in South Africa. A quantitative descriptive research methodology and a non-probability convenience sampling method were employed for the study. Structural equation modelling was utilised to validate the research measurement model and to test the study’s hypotheses. The results highlight the critical roles of design aesthetics, usefulness and confirmation and show robust positive correlations that support the linkages that the study\u27s model postulates. Notably, design aesthetics, satisfaction and usefulness are all positively influenced by confirmation, and these factors, in turn, improve consumer satisfaction and behavioural loyalty. This study stands out because it provides a fresh viewpoint on the factors that influence customer satisfaction and behavioural loyalty, particularly when it comes to grocery shopping Apps. The distinctiveness of this study resides in its thorough analysis of important concepts and how they interact with one another, all against the backdrop of an African consumer base. The results obtained have numerous applications in the real world. Prioritising the factors that influence customer satisfaction and behavioural loyalty will help marketers and companies to improve app design and marketing tactics, which will increase user satisfaction and behavioural loyalty. Such a strategy could help close the gap between the rather different literatures on consumer behaviour and digital retailing, while also increasing sales through grocery shopping applications. Through this approach, stakeholders can obtain practical insights aimed at augmenting user engagement and loyalty within the fiercely competitive online grocery sector. All things considered, this study not only clarifies the essential elements that influence consumer satisfaction and behavioural loyalty in the online grocery industry but also lays out a roadmap for future research in this quickly developing field
Financial development, institutional quality and economic growth in countries in sub-Saharan Africa (SSA)
Get PDFOver the years, there have been huge variations in the growth performances of the economies in SSA. Whilst these disparities can be attributed to a wide range of factors, it is generally understood that differences in their economic structures explain the capacity for generating growth and absorbing shocks during a recession. This study contributes to literature by examining the impact of institutional quality and financial development on economic growth in low- and middle-income countries. Data was obtained from the World Bank and covered the period from 1975 to 2020. The study employed an ARDL model to establish both short and long run dynamics in the two sub samples. The study confirmed both short and long run causality from financial and institutional quality to growth. Institutional quality enhances growth in both low- and middle-income countries in the long run. Whilst the direction of the impact is the same, the magnitude of the impact of institutional quality is different within the two categories. Institutional quality plays a more significant role in low-income countries compared to middle income economies. The study brings out potential financial fragility and systemic risks in financial institutions among countries in SSA. Policies that enhance the quality, consistency, and uniformity of legal reasoning in judicial decisions are ideal. Reducing the risk profile for investments may enhance the flow of credit to the private sector by financial institutions
Key action strategies for introducing smart manufacturing to small manufacturing industries
Get PDFThe global business environment is undergoing significant changes due to the impact of COVID-19 and shifts in workforce demographics, making organizational change an inevitable trend. In this context, the smooth adoption of smart manufacturing in the manufacturing industry is crucial for enhancing organizational value. Through a literature review, this study consolidated key factors related to organizational innovation and the implementation of smart manufacturing. The analytic hierarchy process (AHP) was employed to identify the prioritized sequence of key strategic actions for innovative operations. The results indicated that among 27 assessment indicators, motivation is the most crucial factor for organizational innovation/change. Subsequently, organizations must also prioritize strategic human resource deployment to accelerate the development of long-term organizational goals. This study further examined solutions to ensure both talent and organizational growth during the transformation of innovation strategies.
Staff training and employee performance: Perspectives of the workplace
Get PDFWhenever the issue of poor employee performance arises, the question of the provision of staff training takes center stage. Staff training is seen as the principal driving force and central to effective and efficient job performance. The quest to achieve high performance at the workplace has always been derailed by an acute lack of skills. Despite the plethora of studies of staff training and employee performance in different sectors, the literature has not yet explored the relationship between the two variables in the transport sector, particularly in the South African context. However, the relationship between staff training and employee performance has been engulfed in and apprehended by complexities, mistrust, and misunderstandings. It is through this premise that this paper seeks to evaluate the influence of staff training on employee performance in the transport sector. The study adopted an exploratory research design and tapped into a qualitative research approach. Using the purposive sampling technique, a sample of 15 respondents, comprised of skill development representatives of organizations operating in the transport sector in Durban, were interviewed. Unstructured interviews were used to collect data from the respondents. The key findings revealed that staff training has a positive influence on employee performance in the transport sector. The study plays a pivotal role in extending knowledge in the fields of staff training and employee performance
The role of quality in airport services in passenger satisfaction at Aden Adde International Airport, Mogadishu, Somalia
Get PDFService quality is crucial for all service providers operating in the open market across all industries, particularly in the aviation sector, which produces billions of dollars in annual revenue from its services. The level of service quality significantly influences client satisfaction, and conversely, customer happiness reciprocally affects the service provider. In order to attain diverse company objectives, it is imperative to prioritize customer happiness specifically during the process of privatization. The primary objective of this research is to examine the influence of airport service quality on customer satisfaction within the context of a privatized airport. Descriptive and correlation analyses were utilized in the study. A total of 400 questionnaires were administered to passengers who embarked from Aden Adde International Airport as part of the study. Subsequently, the data was subjected to analysis utilizing a statistical software program designed for social science software (SPSS). The results of this analysis revealed a robust and positive correlation between Airport customer services and customer happiness. The study additionally revealed that a significant proportion of the airport\u27s passengers expressed dissatisfaction with the services provided by Aden Adde International airport.
The determinants of use behavior of e-procurement system in developing countries: a mediating effect of buyers’ and suppliers’ attitude from Tanzania
Get PDFThe existing body of literature on e-procurement adoption has not adequately predicted the direct and indirect impact of performance expectancy and effort expectancy on the usage behavior of e-procurement system through the attitude of users. This paper focuses on analyzing the direct and indirect effects of various factors that influence the usage behavior of e-procurement systems in Tanzania. The paper was guided by the Social Information Processing (SIP) theory, the Affect Infusion Model (AIM), and the modified Unified Theory of Acceptance and Use of Technology (UTAUT). The paper also used a deductive perspective and an explanatory cross-sectional survey research approach. A stratified sampling technique was used to identify 383 respondents (buyers and suppliers) that use the e-procurement system. Data gathering was conducted via the use of a documentary review and questionnaire. Inferential statistical analysis was conducted using the Partial Least Squares Structural Equation Modeling, with the assistance of SmartPLS 4 software. The results indicate that performance expectancy, effort expectancy, and attitude significantly influence positively the usage behavior of the e-procurement system (p value<0.05). The paper finds that the behavior of buyers and suppliers, after the adoption of an e-procurement system, is indirectly impacted by the system\u27s performance expectancy and effort expectancy, via their positive attitudes. The results of this study confirm the usefulness of the proposed research model in directing management decision-making, particularly in determining the importance of investment considerations when implementing or improving an e-procurement system
Adopting the Integrated Electronic Property Management System (IEPMS) in Zimbabwe’s public institutions in the Harare Province
Get PDFOver the years public institutions have faced problems relating to the unprofessional property asset management due the continued usage of the archaic paper-based property management systems which have compromised the pristine property management efforts of public institutions. It is against this backdrop that the study examines the key drivers as well as the prospects for adopting the IEPMS in public sector property management institutions in Zimbabwe’s Harare province. The study being qualitative, relied on the interpretivism research philosophy was hinged on the Information Systems Success model as its theoretical framework. The study established that the public sector in the Harare province relies on the paper based, traditionalized property management practice that is fragmented. The absence of an up-to-date property asset register for all state properties, the need to address corruption, state property theft and embezzlement of state funds as well as the need to adhere with international best practices were the key drivers for the need to adopt the IEPMS. This enhances dependability, saves time, money and improves on professional property management and service delivery. The study recommends the need to seriously embrace digitalization through the adoption and operationalization of an IEPMS which is efficient and enhances accountability and transparency
Employee engagement in Ghana’s higher education institutions: a systematic literature review
Get PDFEmployee engagement has become a prominent topic in workplace discourse, particularly within academia, yet the academic literature on this subject remains relatively limited, especially in the context of Ghana. This paper seeks to address this gap by examining the factors contributing to employee engagement among academics and exploring their interrelationships for enhanced engagement of faculty. This was done through a comprehensive literature review, drawing on peer-reviewed journal articles, working papers, textbooks, and other relevant published sources, as well as online databases, including EBSCO Business Source Premier, Emerald Full Text, Google Scholar, Sci-Space, Science Direct, Sci-Hub, and Scopus. This study identifies key factors influencing employee engagement in higher education institutions as co-worker relationships, effective supervision, confidence in management, meaningful work roles, perceived organisational politics, organisational resources, effective leadership, and compensation and monetary benefits. The findings reveal a concerning trend of a higher number of disengaged or unengaged employees compared to those who are actively engaged. Furthermore, the consequences of employee engagement identified in the literature include job satisfaction, employee retention, and organisational citizenship behaviours, while challenges and barriers to engagement include poor management-union relationships, poor work environments, poor management practices, and inadequate communication. This paper contributes to the understanding of employee engagement in academia and provides insights for improving engagement levels in higher education institutions in Ghana