The energy sector holds critical importance for South Africa, particularly as a developing country grappling with persistent economic challenges and energy insecurity. These pressures have stimulated growing scientific and policy interest in renewable energy as a pathway to sustainable development. This study examines public perceptions and awareness of renewable energy technologies and estimates willingness to pay (WTP) for their increased integration into South Africa’s energy mix. By linking these objectives, the study provides insights into the social and economic factors that shape a just energy transition and informs targeted policies, investments, and engagement strategies to accelerate the adoption of renewable energy. A descriptive research design was employed, incorporating a systematic random sampling approach to ensure reliability and representativeness. Data were collected through structured questionnaire surveys conducted in both urban and rural households across Limpopo Province, South Africa. Findings reveal a generally positive public attitude toward the expansion of renewable energy, although knowledge levels remain moderate and are most pronounced with respect to solar energy systems. The mean household WTP for increased renewable energy penetration was estimated at ZAR 163.4 per annum. Binary logistic regression analysis identified eight statistically significant predictors of WTP: Education, Occupation, Income, Recognised Advantages (A1), Financial Incentive Schemes for RES (A3), Expansion Strategies for Renewable Energy (A4), Price Parity with Fossil Fuels (A7), and Interest-Free Financing Options (A8). These results highlight the importance of affordability, policy support, and tangible benefits in driving public acceptance. Overall, the findings highlight the potential for targeted policy and educational interventions to foster household participation and advance South Africa’s just energy transition.

This study addresses the growing importance of integrating innovation into corporate sustainability strategies by examining the financial and environmental performance of ten firms listed on the Borsa Istanbul Sustainability Index over a five-year period. The main objective is to develop and test a novel, data-driven analytical framework that reduces reliance on subjective expert judgments while providing actionable insights for sustainability-oriented decision-making. Within this framework, the entropy method from the Multi-Criteria Decision Making (MCDM) approach is first applied to calculate the objective weights of sustainability criteria, ensuring that the analysis is grounded in real performance data. Building on these weights, an innovative reverse Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, implemented through a custom artificial neural network-based software, is introduced to estimate direct influence matrices and reveal the causal relationships among criteria. This methodological advance makes it possible to explore how environmental and financial factors interact with R&D expenditures and to simulate their systemic interdependencies. The findings demonstrate that R&D serves as a central driver of both environmental and financial sustainability, highlighting its dual role in fostering corporate innovation and long-term resilience. By positioning R&D as both an enabler and outcome of sustainability dynamics, the proposed framework contributes a novel tool for aligning innovation with strategic sustainability goals, offering broader implications for corporate managers, policymakers, and researchers.