Divine Quase Agozie

Designation
Lecturer

Office Location:
Office Location:
UGBS, Graduate Campus



Current Roles
Current roles:
Programs Coordinator (Msc Business Analytics & MBA Business Intelligence and Analytics)

Areas of Expertise
Areas of Expertise
Business Intelligence and Analytics
Green Development and Sustainability
Systems Analysis
Quantitative Research

Research Interests
Research Interests
Renewable energy transition and development, Energy conservation, and Sustainability Impact Assessment

Divine Quase Agozie

Dr. Divine Agozie is a Lecturer in the Department of Operations and Management Information Systems at the University of Ghana Business School. He holds a PhD in Information Systems from Cyprus International University (2023), where his doctoral work laid the foundation for his ongoing contributions at the intersection of technology, sustainability, and analytics.

His research focuses on green technology adoption, renewable energy transition, energy conservation, green technological development, and Sustainability, areas that reflect his strong commitment to advancing sustainable development and environmental stewardship. Dr. Agozie’s scholarship emphasizes how information systems and data modelling and analytics can be harnessed to address pressing environmental challenges, providing both theoretical insight and actionable solutions.

In addition to his core research, Dr. Agozie brings expertise in business analytics and multi-criteria decision analysis. These methodological strengths enable him to approach complex sustainability problems with data-driven precision, offering frameworks that guide decision-making in energy and environmental management. His work highlights the integration of environmental sustainability principles with advanced analytical techniques, bridging academic research and real-world application.

Through his teaching, research, and outreach, Dr. Agozie seeks to inspire innovative approaches to operations and technology management that align organizational practices with ecological responsibility, ultimately contributing to a more sustainable future.


Ongoing Research/Projects
Research/Projects

Pathways to Carbon Capture Utilization (CCU) acceptance in Manufacturing and Production sectors: How crucial is AI-Driven Knowledge Sharing and Psychological empowerment?

Developing an AI-Driven Framework for Integrated Analysis of Data in Public Health Administration

Evidence-Based Pricing Models for Mental Health Services in LMICs: A Policy Framework Using Adaptive Choice-Based Conjoint Analysis