This quantitative study aims to empirically examine the effects of green finance and green innovation on sustainable investment decisions, as well as the role of artificial intelligence in moderating these relationships. The population consisted of non-cyclical consumer sector companies listed on the Indonesia Stock Exchange (IDX) from 2021 to 2024. Purposive sampling was employed to select 427 companies for observation. Data were analysed using CEM panel data regression. The results reveal that both green finance and green innovation positively affect sustainable investment decisions, and artificial intelligence can moderate these impacts. The study findings offer valuable insights for companies operating in Indonesia’s non-cyclical consumer sector. Green innovation can be applied as a green finance policy to improve sustainable investment decisions. Furthermore, artificial intelligence can be used to strengthen the influence of green finance on sustainable investment decisions. This study, therefore, supports the triple bottom line and the Sustainable Development Goals, encouraging companies in Indonesia not only to focus on profits but also to increase their environmental awareness.
Maya Novitasari, S. Bahri, Dwi Sulistiani et al.· KEUNIS· 0 citations
This research investigates the relationship between artificial intelligence-integrated digital ecosystem, digital maturity, organisational resilience, and the mechanism of sustainable value co-creation and performance results in small and medium-sized firms in East Java, Indonesia. It aims to elucidate how these five factors collectively foster long-term resilience and sustainability in increasingly information-dense business environments.The Quantitative Method was applied with the SEM-PLS approach in the SmartPLS 3.2 program. The survey included 151 SMEs with different demographic characteristics. The model was evaluated for predictive relevance (Q2), common method bias, bootstrapped path coefficients, confirmatory factor analysis, correlation analysis, multicollinearity, and construct reliability. Data were obtained between December 2025 and April 2026.The results reveal that AI-enabled digital ecosystems have a remarkable and favourable effect on organisational resilience and sustainable value co-creation, hence improving sustainable performance. Digital maturity serves as an important enabler and mediator, further enhancing the benefits of these AI-enabled solutions. Moreover, sustainable value co-creation is found as the main predictor of sustainable performance, and the link between resilience and co-creation is reciprocal, showing a reinforcing dynamic.This study contributes to the current literature by extending the conceptualisation of SME success to include economic, social and environmental factors. Moreover, it provides a solid basis for understanding the role of AI ecosystems and digital maturity in supporting resilience and sustainability, allowing resource-constrained SMEs to retain their competitive advantage, while also supporting international sustainability agendas such as the Sustainable Development Goals and Environmental, Social, and Governance standards.
Eka Ananta Sidharta, Yona Octiani Lestari, Ersa Tri Wahyuni et al.· Journal of Intelligent Decis...· 0 citations
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