Andrew Wesimika

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Our dedicated team of business experts brings a wealth of academic and industry experience to equip students with practical skills in leadership, strategy, finance, marketing, and operations. Committed to excellence, our staff foster innovation and critical thinking to prepare future business leaders

CCNA, BIT, PGDE, MSC-IT, MIT

Wesimika Andrew is an Assistant Lecturer in the Department of Marketing and Management at Makerere University Business School (MUBS), Mbale Regional Campus. His research interests are multidisciplinary, focusing on the intersection of Information Technology, Information Systems, cybersecurity, digital transformation, and organizational performance. His work seeks to address contemporary challenges in the adoption, governance, and security of digital technologies, particularly within developing-country contexts.

Research Interests

Cybersecurity and Information Security Management
Research on cybersecurity awareness, information security governance, cyber threat mitigation strategies, malware prevention, and security frameworks for Higher Education Institutions (HEIs) and public organizations.
Information Systems and Digital Transformation
Investigating how emerging technologies influence organizational efficiency, decision-making, service delivery, and institutional performance.

Artificial Intelligence and Machine Learning Applications
Exploring AI-driven predictive models for cybersecurity threat detection, information security breach prediction, and intelligent decision-support systems.
Information and Communication Engineering
Research interests include communication networks, secure communication systems, Internet of Things (IoT), cloud computing, and emerging ICT infrastructures.
Digital Financial Technologies and Financial Inclusion
Examining the role of digital financial literacy, mobile banking usability, and FinTech adoption in enhancing financial inclusion among small and medium enterprises (SMEs).
Technology Adoption and Behavioural Information Systems
Applying theories such as Technology–Organization–Environment (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), and Protection Motivation Theory (PMT).
Data Analytics and Research Methodology
Applying advanced quantitative approaches including Partial Least Squares Structural Equation Modelling (PLS-SEM), predictive analytics, and machine learning techniques in social and technological research.

Staff Publications

BYOD Policy Framework for Mitigation of Malware Attacks in Higher Institutions of Learning
- Developed an Improved BYOD Policy Framework (IBYODPF) to strengthen cybersecurity governance in universities.
- Investigated cybersecurity weaknesses including inadequate security audits, limited device management controls, weak incident response mechanisms, and insufficient user awareness.
- Applied quantitative research methods using SmartPLS, SPSS, and Python-based analytics.
Information Technology Infrastructure and Employee Cybersecurity Awareness in Higher Education Institutions in Uganda
- Examined the relationship between IT infrastructure capacity and employee cybersecurity awareness.
- Established that technological infrastructure significantly contributes to strengthening institutional information security management.
Vocabulary Expansion and Grammar Lessons in Reducing Ambiguity in English Writing among Ordinary Level Students
- Examined how language learning interventions improve writing clarity among secondary school learners.
- Applied PLS-SEM and qualitative analysis approaches to establish relationships between educational interventions and writing outcomes.

Projects/Grant

Mitigating Information Security Breaches in Higher Education Institutions in Uganda

Research Theme: Cybersecurity and Information Security Governance

This doctoral research project focuses on developing an integrated framework for predicting and mitigating information security breaches within higher education institutions in Uganda. The study explores technological, organizational, and human factors influencing cybersecurity resilience.

Key areas include:

Cybersecurity awareness among university employees.
Security governance frameworks.
AI-driven breach prediction models.
Institutional cybersecurity preparedness.

Improved BYOD Policy Framework for Higher Institutions of Learning

Research Theme: Mobile Security and Digital Governance

This project developed a framework to mitigate security risks associated with Bring Your Own Device (BYOD) adoption in universities.

Key findings identified challenges such as:

Limited security monitoring.
Absence of application whitelisting mechanisms.
Weak incident response strategies.
Inadequate cybersecurity training.

Digital Financial Literacy and SME Financial Inclusion Project

Research Theme: FinTech Adoption and Economic Empowerment

This project examined the influence of digital financial literacy and mobile banking usability on financial inclusion among SMEs in Uganda.

The study contributes toward understanding:

Digital payment adoption.
Financial technology accessibility.
SME digital transformation.

AI-Driven Information Security Breach Prediction Model for Higher Institutions of Learning in Uganda

Research Theme: Artificial Intelligence and Cybersecurity Analytics

This project explores machine learning approaches for predicting cybersecurity incidents in higher education institutions.

Potential applications include:

Early threat detection.
Automated risk assessment.

Intelligent cybersecurity decision-support systems.

Research Supervision

Presentations

Cybersecurity Challenges and Policy Frameworks in Higher Education Institutions

Presented research findings on cybersecurity vulnerabilities and proposed strategies for strengthening information security governance in universities.

Digital Transformation and Financial Inclusion among SMEs

Presented findings on the role of digital financial literacy and mobile banking usability in improving SME financial accessibility.

Application of PLS-SEM in Information Systems Research

Shared methodological insights on applying SmartPLS for analysing technology adoption and organizational performance models.

Emerging Technologies and Future Information Systems

Presented discussions on artificial intelligence, cybersecurity, IoT, and digital innovation within developing economies.

Staff CV

Other Info

Assistant Lecturer, Department of Marketing and Management, Makerere University Business School (MUBS), Mbale Regional Campus.
Experienced university educator with expertise in Information Technology, Information Systems, and digital innovation.
Holds a Master of Information Technology Management (First Class), Master of Science in Computing (IT Option), Postgraduate Diploma in Education, and Bachelor’s degree in Information Technology.
Cisco Certified Networking Associate (CCNA) certified professional.
Research focus aligned with global priorities in cybersecurity resilience, artificial intelligence, digital transformation, and sustainable development.

Experienced in statistical modelling using SPSS, SmartPLS, and Python analytics.

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