A: Examining the Contextual Critical Success Factors for Intelligent Systems Implementation in Ghanaian Organizations (PI: Dr. Owusu and Prof. Boateng)
The use of intelligent systems to analyze and get insights into big data for making informed decision abounds in the developed world. Thus, most organizations in these countries through descriptive, diagnostic, predictive, and prescriptive analytics systems with dashboards showing various metrics/KPIs are able to get knowledge about the strength of their businesses, thereby curtailing any foreseeable dangers that may affect their existence. However, the same cannot be said about developing economies in Sub-Saharan Africa especially Ghana. Most organizations across all industries continue to rely on their Transaction Processing Systems (TPS)/Management Information Systems (MIS) without much data analytics. As such, decision making is sometimes based on disparate traditional reports coming from these systems which may be difficult to read and interpret. This study aims to solve this problem by exploring the factors that can influence the diffusion of intelligent systems in Ghanaian industries. Using multiple case study approach, the research will seek the Contextual Critical Success Factors (CCSFs) to aid in the planning, designing, implementation, deployment and evaluation of intelligent systems for various industries in Ghana. The outcome of this research is aimed at providing a framework which will be a template for implementation of intelligent systems in Ghanaian firms.
B: Data Mining, Machine Learning and Data Analytics (PI: Dr. Emmanuel Awuni Kolog, supported by Dr. Eric Afful-Dadzie, Prof. John Effah and Prof. Richard Boateng)
Contextual Microblogging Discourse Analysis with Machine Learning
This is project aims to propose a novel approach for tracking topical areas of national discourse from a microblogging websites in Ghana. Data from selected microblogging websites will be crawled using relevant but legitimate crawling APIs (Application programming interface). On analysing the data, a novel technique for clustering the data will be proposed to identify pattern of discussions in the data. With this study, policy makers in Ghana will be able to understand the sentiments of their citizens regarding major governmental policies among other things. A Silhouette index will be employed to evaluate the performance of unsupervised algorithm based on the proposed optimization approach. While working to execute the preliminary stages of this project, we have applied for seed fund to fully execute the project.
Modelling the Affect and Perceptual Behaviours of Learners towards Adaptability to Learning Management System
The evolution of learning management systems has provided flexibilities for teaching works where students are able to receive lessons remotely, especially with the use of e-learning and mobile learning environments. However, some educational learning environments are bedeviled with the challenge of the learner adapting to such systems. This invariably poses a threat to learners’ academic engagement, performance and achievement. Needing to improve teaching and learning through educational learning environments require that learners are made to adapt to such learning platforms. The development of intelligent learning environment is shaped by several factors such as culture, affect and personality traits of learners. However, much of these learning management systems rarely considers automatic tracking of learners affect and sentiment while building a model of the goals, preferences and knowledge of each individual student. The goal of this project is to develop a system with the capability of taken students historical data and detect affect (sentiment) in them. The development of the system shall leverage the capabilities of Natural language processing with a machine learning techniques.
Social commerce business Models in Developing Countries: A Data Mining Approach
This is an ongoing research that seeks to predict and classify social commerce businesses in Ghana using a data mining with machine learning techniques. Several machine learning classifiers will be used in this study. The prediction will be based on data collected from companies that claim to practice social commerce. The outcome of the prediction will contribute to building and developing social commerce model in Ghana. While seeking to base on the outcome to make recommendation for businesses to expand their capacities on adopting our proposed social commerce model, the study will evaluate the performance of the machine learning classifiers. In effect, the evaluation of the classifiers will determine which machine classifiers is superior in terms of classifying or predicting themes in text.
Text-based Machine Learning Integration Framework for Enterprise Application Systems
An enterprise application (EA) is a large software system platform designed to operate in a corporate environment such as business or government. The goal of this project is to propose a concept of Text-based knowledge extraction system for Enterprise systems applications. The framework will further be developed and evaluated in the future within the project framework. The project seeks to contribute to the domain of research that sought to automate business processes through data mining approaches.
C: Organizational Learning and Web 2.0 (Prof. Boateng)
This research explores how web 2.0 technologies can support learning in an organizational context. Previous work has explored how link between employee learning and organizational learning and also learning supportive features of Web 2.0. Future work, which is useful for students, include the use of social media to support learning activities in organizations and business value creation through social media. The student will gain opportunity of learning how to use content analysis as a qualitative research technique to study content on online platforms.
D: Electronic Business for Business and Development (Co-PIs: Prof. Effah and Prof. Boateng)
This research seeks to understand how firms in developing countries deploy and manage their resources to navigate the constraints of their context and achieve e-commerce/e-business benefits. This research also explores how the interrelationships between technology and non-technology actors in the design and use of e-business. Current work has reviewed a number of e-business case studies and literature using technology adoption models, soci-technical theories, and the resource-based theories. The work has covered themes including cybercrime, e-business strategy, e-banking and development. Students will gain opportunity of using both qualitative and quantitative research methods to develop an empirical understanding of the conduct of e-business in Ghana.
E: Electronic Banking Implementation in Ghana (Co-PIs: Prof. Effah and Prof. Boateng)
This is an ongoing project which seeks examine efforts by the Bank of Ghana and other stakeholders in the banking industry in Ghana to establish an enabling environment for the conduct of e-banking. The study focuses on projects including the Ghana Interbank Payment & Settlement Systems (GhIPSS) and internet banking technologies in retail banking. Students will gain opportunity of using qualitative data techniques to develop descriptive case studies explaining the process of implementation of these banking technologies.
F: Process Virtualization in Higher Educational Institutions (PI: Prof. John Effah)
This research explores the attempt by higher educational institutions in Ghana to migrate from manual/paper-based processes to virtual process environments where communication, activities, interactions, and collaborations are mediated by multi-media computer networks including mobile, internet, intranet, extranet and web technologies. The current phase of the project is focusing on participatory action research on University of Ghana’s Chinese Phase II ICT Project aiming to transform the institution to a virtual academic and administrative environment. The participatory action aims to contribute to the success of the ICT project as well as research on ICT in higher education institutions. Students who participate in this project will gain opportunity of learning from real-life enterprise-wide ICT project implementation as well as from relevant literature reviews on the subject; action-research based qualitative data gathering through interviews, participant observation, artefact and work process analysis; qualitative data analysis through inductive processes; and academic report writing. They will also learn from developing and presenting interim findings from real-life ICT projects at seminars, conferences and workshops to help finalize reports for submission to journals.
G: ICTs, Gender and Entrepreneurship (PI: Prof. Boateng)
This research seeks to develop a theoretical and practice-oriented understanding on the strategies which enable the male and female micro-entrepreneurs to establish enterprises (as driver or enabler) and how information and communication technologies (ICTs), through the businesses, impact on their livelihoods. The work has covered themes including mobile financial services, m-commerce adoption, mobile payments, mobiles and micro-trading, and mobile health. Currently funding has been received from the Canadian development agency, International Research Development Centre (IDRC) to explore the gender differences in entrepreneurship development and how ICTs mediates the differences. Students will gain opportunity of using both qualitative and quantitative research methods to develop an empirical understanding of ICTs, gender and entrepreneurship in Ghana. The students will also learn how to develop comprehensive literature reviews which cover a diversity of disciplines related to the project.
H: Advancing E-governance beyond Readiness (Co-PIs: Prof. Effah and Prof. Boateng)
This research seeks to establish a better understanding of e-governance (e-government and e-democracy) in sub-Saharan Africa in order to define appropriate approach to advance beyond the readiness to adopt e-governance. Current work is currently reviewing e-governance policies and programmes in a selected number of African countries and examining the interactions of citizens with government through social media. Students will gain opportunity of using qualitative data techniques to develop descriptive case studies explaining e-government development and implementation in Ghana.