Boluwaji A . Akinnuwesi - Academia.edu (original) (raw)

Papers by Boluwaji A . Akinnuwesi

2022 IST-Africa Conference (IST-Africa)

International Journal of Business Information Systems, 2020

Human Behavior and Emerging Technologies, 2020

COVID-19 pandemic affects people in various ways and continues to spread globally. Researches are... more COVID-19 pandemic affects people in various ways and continues to spread globally. Researches are ongoing to develop vaccines and traditional methods of Medicine and Biology have been applied in diagnosis and treatment. Though there are success stories of recovered cases as of November 10, 2020, there are no approved treatments and vaccines for COVID-19. As the pandemic continues to spread, current measures rely on prevention, surveillance, and containment. In light of this, emerging technologies for tackling COVID-19 become inevitable. Emerging technologies including geospatial technology, artificial intelligence (AI), big data, telemedicine, blockchain, 5G technology, smart applications, Internet of Medical Things (IoMT), robotics, and additive manufacturing are substantially important for COVID-19 detecting, monitoring, diagnosing, screening, surveillance, mapping, tracking, and creating awareness. Therefore, this study aimed at providing a comprehensive review of these technologies for tackling COVID-19 with emphasis on the features, challenges, and country of domiciliation. Our results show that performance of the emerging technologies is not yet stable due to nonavailability of enough COVID-19 dataset, inconsistency in some of the dataset available, nonaggregation of the dataset due to contrasting data format, missing data, and noise. Moreover, the security and privacy of people's health information is not totally guaranteed. Thus, further research is required to strengthen the current technologies and there is a strong need for the emergence of a robust computationally intelligent model for early differential diagnosis of COVID-19.

Organizational information systems cannot produce any positive outcome unless the end-users accep... more Organizational information systems cannot produce any positive outcome unless the end-users accept, adopt and use it. In this paper, we report the results of an investigation of the perception gap between end-users and software developers regarding end-user participation in software development. Our analysis shows the existence of perception gap, which could affect the level of end-user participation in software development. The implication of this is poor acceptance of software system applications and failure of some software system projects.

The Electronic Journal of Information Systems in Developing Countries, 2013

Organizational information systems cannot produce any positive outcome unless the endusers accept... more Organizational information systems cannot produce any positive outcome unless the endusers accept, adopt and use it. In this paper, we report the results of an investigation of the perception gap between end-users and software developers regarding end-user participation in software development. Our analysis shows the existence of perception gap, which could affect the level of end-user participation in software development. The implication of this is poor acceptance of software system applications and failure of some software system projects.

2014 IEEE 6th International Conference on Adaptive Science & Technology (ICAST), 2014

ABSTRACT Employees indulgence in counterproductive computer security behaviors (CCSB) is a growin... more ABSTRACT Employees indulgence in counterproductive computer security behaviors (CCSB) is a growing phenomenon worldwide. Essentially, CCSB are ill-prescribed computer use practices and general information security behaviors that go against the legitimate interests of an organization. While research on such issues is beginning to emerge in the developed West, information and perspectives from developing countries such as Nigeria is rare in the extant literature. This current study was designed to fill the gap in the literature by providing insights about employees' non-malicious, CCSB in Nigeria and Canada. Data for the study was collected from a field survey and secondary data sources. Relevant data analyses were performed. The results showed that employees' indulgence in CCSB differ by locations or contexts, and importantly socio-economic factors (i.e. national wealth (GDP), transparency, and literacy rates) and the cultural dimensions of individualism versus collectivism (IDV) and uncertainty avoidance (UAI) considered in this study were found to have significant bearings on participants' desire to indulge in CCSB at work. The implications of our findings to both research and practice were succinctly discussed.

International Journal of Electronic Finance, 2013

ABSTRACT In this study, we conceptualise a multi-lingual and multi-denominational software for au... more ABSTRACT In this study, we conceptualise a multi-lingual and multi-denominational software for automated teller machine ATM. The purpose is to model an ATM that communicates in different pre-defined languages and dispenses cash in different denominations based on the customers' choices, thereby enhancing the ease of use by customers and reducing frustrations by rural dwellers. The architecture of the system was developed using the unified modelling language, whereas the prototype was developed using Java programming language for the front-end, and Oracle database management system as the back-end. The prototype was tested using some hypothetical data and was found to successfully mimic ATM transactions in the local Nigerian languages. The results of the study also point to an improvement in the user interface with icons and music being more friendly and welcoming to the local populace.

ABSTRACT The extensive use of the Internet and the web applications has made it necessary for ind... more ABSTRACT The extensive use of the Internet and the web applications has made it necessary for individuals and organizations to showcase their products and services on the web with the view of gaining global acknowledgement and acceptance. Therefore the beauty of a society in terms of culture, arts and various natural and man-made objects need not be hidden but be exposed to the world for appreciation and visitation. In this paper, web technology is applied to present tourism information with the objective of welcoming tourists into a community. The tourism information focus on arts, culture, recreational and hospitality centers, hotels, natural and artificial objects that are available in a community. The tourism information used in this paper is peculiar to the Nigerian communities and they are managed by the Ministry of Culture, Tourism and National Orientation. The existing manual and mechanical methods used for data and information management in the ministry were studied and adjudged to exhibit some pitfalls. Though the ministry has a website (http://guide.onlinenigeria.com/linkdetail.aspx?id=155) but this site is not equipped with information and also not dynamic. Thus the ministry and the various Tourism Boards under it need a user friendly web based application to store, update, process and present data and information as required by the users. The proposed system carries out an online and real-time stepwise process and presentation of tourism data and information. It also carries out data filtering by applying cognitive and emotional elements. Fuzzy rules are applied to make inferences and useful reports are generated to assist management in decision making. This framework is believed to serve as a tool for the tourists, and other stakeholders in the tourism sector.

The overarching aim of this study is to develop a soft-computing system for the differential diag... more The overarching aim of this study is to develop a soft-computing system for the differential diagnosis of tropical diseases. These conditions are of concern to health bodies, physicians, and the community at large because of their mortality rates, and difficulties in early diagnosis due to the fact that they present with symptoms that overlap, and thus become 'confusable'. We report on the first phase of our study, which focuses on the development of a fuzzy cognitive map model for early differential diagnosis of tropical diseases. We used malaria as a case disease to show the effectiveness of the FCM technology as an aid to the medical practitioner in the diagnosis of tropical diseases. Our model takes cognizance of manifested symptoms and other non-clinical factors that could contribute to symptoms manifestations. Our model showed 85% accuracy in diagnosis, as against the physicians' initial hypothesis, which stood at 55% accuracy. It is expected that the next stage of...

2018 International Conference on Information Management and Technology (ICIMTech), 2018

The healthcare industry today has grown rapidly and emphasizing the efficiency and effectiveness ... more The healthcare industry today has grown rapidly and emphasizing the efficiency and effectiveness within the healthcare delivery systems has become a major priority in the field. In order to increase the satisfaction and safety of patient, hospitals must improve their overall performance. We established from our review that a number of models have been developed for supplier selection using diverse methods. Most of the models were used to evaluate the performance of healthcare service sector but there is little emphasis on suppliers of health service facilities. And also to the best of our search, we could not find research works on models for evaluating and selecting suppliers in the healthcare unit of tertiary institution. Hence our focus in this study is to develop a decision support model for evaluating and selecting suppliers in the healthcare service of universities. The use of manual techniques for supplier selection in healthcare unit of universities in developing countries is quite tedious and inefficient particularly when several criteria are taken into consideration. These make decision making difficult and also cause the health centre to frequently stock out. Moreover deciding when to order and how much to order is not very easy and hence not meeting patients' demands adequately. This study focuses on investigating and developing a decision support model for evaluating and selecting suppliers in the healthcare service of tertiary institutions using analytical hierarchy process (AHP) and artificial neural network (ANN). Our case study is the health center of Redeemers University, Nigeria. According to the Overall Priority Vector, the priority values for the respective criteria are: Quality = 0.2192, Service = 0.2160, Delivery = 0.2102, Cost = 0.1968 and Risk = 0.1860. Our results revealed that the quality of product supply by the supplier is the most important criterion, while the risk on the supplies is the least important. To improve on the accuracy of these results, the AHP model was supplemented by a 3-layer artificial neural network, adding a learning component to the model. The result also shows that quality is the most important criterion, but with a high index of 0.6845 as opposed to 0.2192 for the AHP alone. This shows that the hybrid model is much better than the AHP alone.

JOURNAL OF RESEARCH AND REVIEW IN SCIENCE, 2017

Introduction: Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tu... more Introduction: Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. It kills about 1.5 million people per year and about 95% of its victims are from Africa. A major problem of TB is the difficulty in its diagnosis due to the fact that in most cases, it is either asymptomatic or latent. This difficulty in diagnosis has motivated the development of various algorithms for TB diagnosis most of which have poor diagnosis power. Aim: This research focused on systematic review and analysis of computational models for diagnosis of TB with the view to identifying their strengths and weaknesses. The overall target is to develop a standard and robust computational model with improved diagnostic power. Method: Selection was from peer-reviewed articles on Google scholar assessing strictly computational TB diagnostic models. Search terms include: Diagnosis, Tuberculosis, Computational, Mathematics, Bayes, Soft computing, Fuzzy logic, Neural Network. Exclusi...

Sustainable Operations and Computers, 2021

COVID-19 pandemic expedites the development of digital technologies to tackle the spread of the v... more COVID-19 pandemic expedites the development of digital technologies to tackle the spread of the virus. Several digital interventions have been deployed to reduce the catastrophic impact of the pandemic and observe preventive measures. However, the adoption and utilisation of these technologies by the affected populace has been a daunting task. Therefore, this study carried out exploratory investigation of the factors influencing the behavioural intention (BI) of people to accept COVID-19 digital tackling technologies (CDTT) using the UTAUT (Unified Theory of Acceptance and Use of Technology) framework. The study applied principal components analysis and multiple regression analysis for hypotheses testing. The study revealed that performance expectancy (PE), facilitating conditions (FC) and social influence (SI) are the best predictors of people's BI to accept CDTT. Also, organizational influence and benefit (OIB) and government expectancy and benefits (GEB) influence the people's BI. However, variables such as age, gender and voluntariness to use CDTT have no significance to influence BI because the CDTT is still nascent and not easily accessible. The results show that the decision-makers and regulators should consider inciting variables such as PE, FC, SI, OIB and GEB, that motivate the acceptance and use of CDTT. Furthermore, the populace must be sensitized to the availability and use of CDTT in all communities. Also, the path diagram and hypothesis testing results for CDTT acceptance and use, will help government and private organizations in planning and responding to the digitalization of COVID-19 protective measures and hence revise the COVID-19 health protection regulation.

Introduction: Application software helps organizations to perform effectively and efficiently in ... more Introduction: Application software helps organizations to perform effectively and efficiently in the competitive environment, thus providing customers with value-added services. High significance of application software stimulates organizations to carry out thorough evaluation of software project proposals that vendors submit with the aim of selecting the best proposal. This process entails a number of assessment criteria, multiple conflicting goals, and increasingly turbulent business environment. The Analytical Hierarchy Process (AHP) provides a platform for multi-criteria assessment of quantitative and qualitative variables in the decision process. Aim: This research focused on development of AHP based model for software project proposal assessment, which will enable decision makers in the selection of a proposal that guarantees optimal performance when implemented. Materials and Methods: We developed an AHP-based model for selection of software projects based on pair-wise comparison data from twenty domain experts. AHP process consists of three phases: Decomposition phase for identification of decision alternatives and evaluation criteria; Measurement of Preference phase for identifying relative importance of criteria using pairwise comparison matrix; and Synthesis phase to establish percentage of relative priorities for ranking proposals and selecting the best. Results: Sixty-four (64) variables were identified from literature and hierarchically arranged into 4 levels based on degree of preference. It was evident from the priority graph that functionality (35.26%), quality (22.00%) and usability (19.34%) had the higher priority weights, while cost (2.47%) and vendor services (6.26%) had the least. Conclusion: Our results point to the utility of AHP in software project proposal evaluation. AHP has been applied severally in decision modeling. An extensive literature search produced a high number of variables, which were aggregated into semantic groups. Our results indicate that functionality, quality, and usability are given high consideration in proposal evaluation, while cost and vendor services are not seen to be a critical factors.

Data Science and Management, 2021

Collaboration among enterprises in a dynamic environment makes the actors to concentrate on their... more Collaboration among enterprises in a dynamic environment makes the actors to concentrate on their respective core competences and allow provision and sharing of expertise, resources, and skills for taking advantages and better respond to business opportunities. The coming together of such organizations, usually enhanced by computer network, is referred to as virtual enterprise (VE) or task group. This partnership is only possible if the systems in the various associated organizations can process the data in one another. A major challenge in the enterprise collaborative system that has attracted many research efforts in the recent past is semantic interoperability. This collaborative-based market place requires among others common conceptualization and meaningful data exchange. Effective collaboration among VE members is a major key to the accomplishment of this noble objective. For this interoperability to be effective, we propose in this paper an ontology-based middleware framework...

This research aimed at the development of computer aided multidialectal teaching system (CAMTS) t... more This research aimed at the development of computer aided multidialectal teaching system (CAMTS) that can be adopted and used as teaching tool in schools. We focused on simple arithmetic for nursery school pupils as our test case. The age group considered is 3 years to 5 years old. Our objective is the provision of a software tool that enables nursery school pupils learn and interact using three dialects from three Nigerian tribes (i.e. Igbo, Hausa, Yoruba) and one dialect in Togolese tribe (i.e. Ewe). The multidialectal component of the system gives room for easy teaching by the teachers and easy learning by the pupils in their native dialects. Moreover, both teachers and pupils have opportunity to learn another dialect aside their own dialects. CAMTS is flexible and can be scaled up to accommodate other dialects such that it can be adapted to other environments aside

SSRN Electronic Journal, 2020

The outbreak of COVID-19 affects Zimbabwe’s education sector leading to disruption of teaching an... more The outbreak of COVID-19 affects Zimbabwe’s education sector leading to disruption of teaching and learning activities across the country. Though there are positive results from the implemented COVID-19 measures, however, higher institutions remained closed as cases continue escalating. COVID-19 poses tremendous challenges in higher institutions and opportunities to revise education policies and adopting emerging technologies for teaching and learning purposes are not yet explored in Zimbabwe. Therefore, this study aimed at providing a special reflection of the effects of COVID-19 in higher education and their responses to the pandemic to ensure safe re-opening. Also, the paper presents the critical role of emerging technologies in teaching and learning. To achieve that we applied literature search of memos, reports from the Ministry of Higher Education, COVID-19 reports and guidelines and articles from Google Scholar, Elsevier and Web of Science. The study revealed that there is significant progress in preventing the spread of COVID-19 and reopening is inevitable. The study recommends colleges and universities improve internet bandwidth, provision of psychosocial support services, create hybrid learning model, increase Wi-Fi access points, change of learning and pedagogical policies, implementation of phased learning approach and training of staff and students as institutions of learning reopen.

Software developers do not only have to develop software in a professional manner, but also need ... more Software developers do not only have to develop software in a professional manner, but also need to ensure that software satisfies the performance requirements of the client and all the users. The users’ requirements definition guides the software architect in the course of designing the software architecture, however in practice today, involvement of end users in all phases of software development process is not given utmost priority. Various empirical works had established the gap between software developers and end users and the negative effect on software acceptability and usability. In this book, the developed user-centric model permits the users to evaluate the performance of software architecture (SA) based on the organizational (i.e. end users) variables in order to measure the extent to which the architecture respond to the organizational requirements. This is unlike the existing machine-centric models that evaluate performance of SA using machine based parameters in order ...