Rafiat Ajibade Oyekunle
@unilorin.edu.ng
Associate Professor, Faculty of Communication and Information Sciences
University of Ilorin
Rafiat Ajibade Oyekunle is a Reader in the Department of Information Technology, University of Ilorin. She holds a B.Sc. degree from ABU Zaria, M.. and Ph.D. Information Science from the University of Ibadan, Nigeria. Her research interests include E-business, Social Informatics, Information Systems, Internet Studies, Mobile Services and Data Analytics. She is a registered member of Nigerian Women in Information Technology (NiWIIT) and The Internet Society. She has published over thirty articles in reputable local, national and international journals, and has attended quite a number of academic conferences, trainings and workshops. She has many administrative experience to her credit including serving as the Head of Department for five consecutive years, she has also engaged in a lot of community services including Reviewer, External Examiner, Collation Officer (INEC), Resident Monitor (JAMB), and Associate Editor.
EDUCATION
B.Sc.
M..
P.hD.
RESEARCH, TEACHING, or OTHER INTERESTS
Information Systems, Human-Computer Interaction
Scopus Publications
Scopus Publications
Akinyemi Omololu Akinrotimi, Roseline Oluwaseun Ogundokun, Modinat Abolore Mabayoje, Rafiat Ajibade Oyekunle, and Marion Olubunmi Adebiyi
IEEE
The financial backbone of every telecommunications company is strictly made up of the number of customers patronizing the organization. Due to the high level of competition amongst existing telecommunication companies, customers sometimes leave, dropping the services of a particular one for the other. Predicting which subscribers may want to leave a telecommunications company and providing solutions to keep them from doing so, are the main objectives of customer churn prediction. Churn prediction helps classify consumers who are likely to move from one business to another. The ability to foresee churners before they leave has been increasingly useful in recent years, especially in light of increased competition among communications carriers. To compute churners for telecommunications providers, the study described in this paper used oversampling techniques to balance churn data and applied the dimensionality reduction technique to discover optimal features with a strong predictive ability for detecting would-be churners and non-churners. The model used Logistic Regression and the Naïve Bayes Classification Algorithm to implement comparative classification strategies. The performance levels of these strategies were compared using a Telecommunications Customer Churn data set, as well as performance metrics such as accuracy, sensitivity, and specificity. The Naïve Bayes Algorithm proves more efficient than its counterpart giving higher positive rate detection and a lower negative rate detection.
Rafiat A. Oyekunle and Mutawakilu A. Tiamiyu
Elsevier BV
Naeem Atanda Balogun, Fabian Aiterebhe Ehikhamenor, Omenogo Veronica Mejabi, Rafiat Ajibade Oyekunle, Olayiwola Wasiu Bello, and Oluyinka Titilope Afolayan
Informa UK Limited
The study used survey design and collected data using a questionnaire. Stratified random sampling was employed to identify 12 rural communities evenly spread across the three senatorial districts of Kwara State, Nigeria. From each community, 125 respondents were purposively sampled, resulting in a sample size of 1500. Data collected were analyzed using frequencies and cross-tabulations. The results show the presence of ICT in the rural communities of a sub-Saharan African country and the need for the government to educate, train and implement policies that would help rural dwellers make effective and efficient use of ICT tools and infrastructures available in their domain.
Rafiat A. Oyekunle and H. B. Akanbi-Ademolake
IGI Global
This chapter presents an overview of e-Government technological divide in developing countries. Technological divide here does not consist simply of telecommunications and computer equipment (i.e. ICTs), but it is also e-Readiness (i.e. the available capacity as indicated by workforce capacity to build, deploy, and maintain ICT infrastructure), ICT literacy (using digital technology, communication tools, and/or networks appropriately to access, manage, integrate, evaluate, and create information), e-Inclusion and/or e-Exclusion (i.e. no one is left behind in enjoying the benefits of ICT), etc., which are factors also necessary in order for people to be able to use and benefit from e-Government applications. Most of the currently published works on e-Government strategies are based on successful experiences from developed countries, which may not be directly applicable to developing countries. Based on a literature review, this chapter reveals the status of e-Government technological divide in developing countries and also underscores the challenges associated with e-Government in developing countries, thus bringing to the limelight the factors that influence the growth of the technological divide and different approaches that have been put in place to overcome the divide. In conclusion, this chapter advocates education and training, local content development, enhancing network infrastructure, and capacity building, among others, as ways of bridging the divide.
Rafiat A. Oyekunle and H. B. Akanbi-Ademolake
IGI Global
This chapter presents an overview of e-Government technological divide in developing countries. Technological divide here does not consist simply of telecommunications and computer equipment (i.e. ICTs), but it is also e-Readiness (i.e. the available capacity as indicated by workforce capacity to build, deploy, and maintain ICT infrastructure), ICT literacy (using digital technology, communication tools, and/or networks appropriately to access, manage, integrate, evaluate, and create information), e-Inclusion and/or e-Exclusion (i.e. no one is left behind in enjoying the benefits of ICT), etc., which are factors also necessary in order for people to be able to use and benefit from e-Government applications. Most of the currently published works on e-Government strategies are based on successful experiences from developed countries, which may not be directly applicable to developing countries. Based on a literature review, this chapter reveals the status of e-Government technological divide in developing countries and also underscores the challenges associated with e-Government in developing countries, thus bringing to the limelight the factors that influence the growth of the technological divide and different approaches that have been put in place to overcome the divide. In conclusion, this chapter advocates education and training, local content development, enhancing network infrastructure, and capacity building, among others, as ways of bridging the divide.