With the constantly growing interaction of artificial intelligence and green financial technology, the emerging possibilities introduced new possibilities to optimize organizational performance in the energy sector as business entities were being pressured to be more financially efficient and strive towards environmental sustainability. Although earlier research explored the role of digital technologies in financial services and sustainable business practices, limited empirical attention was given to how artificial intelligence adoption affects Green FinTech performance and whether sustainable innovation mediates this relationship. The paper has explored the effects of the introduction of artificial intelligence on Green FinTech performance in the energy industry and explored the mediating effect of sustainable innovation. The research design used was quantitative and data was gathered in firms working in the energy industry. The relationships proposed were analyzed with the help of suitable statistical tools to evaluate the direct impact of artificial intelligence implementation on Green FinTech performance and the indirect impact via sustainable innovation. The results showed that the adoption of artificial intelligence significantly improved Green FinTech performance. The findings showed that sustainable innovation acted as a mediating factor, enabling firms to transform artificial intelligence capabilities into more efficient, environmentally sustainable, and cost-effective FinTech practices. These results indicated that energy sector firms that adopted artificial intelligence and invested in sustainable innovation were better positioned to improve Green FinTech performance and achieve long-term competitive advantages. The study offered important implications for managers, investors, and decision-makers seeking to accelerate the digital and sustainable transformation of the energy sector.
Alkhazaleh et al. (Thu,) studied this question.
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