REVIEW article
Front. Sustain.
Sec. Modeling and Optimization for Decision Support
A theory-based decision support framework for energy transition: pluralised perspective
Provisionally accepted- 1Building Economics, Ardhi University, Dar es Salaam, Tanzania
- 2Construction and Management Quantity Surveying, University of Johannesburg, Johannesburg, South Africa
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This study presents a theory-based decision support framework for energy transitions that addressed the requirement for comprehensive approach beyond routine problem-solving techniques. The decision support framework integrates value-focused thinking, sustainability and resilience theories, and multi-criteria decision analysis (MCDA). The four theoretical lenses were synthesised to address three core support areas: alternatives identification, evaluation criteria development, and method selection. The resulting conceptual framework is structured into foundational, evaluation, and decision-making stages, each underpinned by stakeholder engagement and context alignment. To demonstrate usefulness, the article provides a detailed illustrative application to a hypothetical energy planning scenario in a Sub-Saharan Africa nation, an epicentre of energy access challenges. The framework offers transparency, adaptability, and rigour for methodological roadmap for national energy planning. This work provides a clear guide for policymakers and researchers to apply in diverse geographic and system scales, bridging the gap between theory and practical energy policy evaluation.
Keywords: Policy evaluation, energy transition, Decision Support, sustainability, resilience, Conceptual framework, Methodological Roadmap
Received: 10 Sep 2025; Accepted: 19 Nov 2025.
Copyright: © 2025 Aasa, Phoya, Monko and Musonda. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Olaoluwa Aasa, olaoluwa88@gmail.com
Innocent Musonda, imusonda@uj.ac.za
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
