GreenTokenomics: Blockchain, AI, and Automation for Smarter Sustainability and Collaborative Ecosystem
Sustainability certification assessed by several standards such as Science Based Target Initiatives (SBTi) has become an integral part of corporate achievements with companies prioritizing carbon neutrality, green practices, and net-zero goals. While green practices are essential to a company and its environment, they have their pain points - “The initial investment required for sustainable technologies and practices can be high, posing a challenge for small and medium-sized enterprises.” To address these challenges, this paper proposes a platform that involves a decentralized and collaborative ecosystem involving three primary stakeholders: SBTi certificate holders, Small and Medium Enterprises(SMEs), and green investors. SBTi certificate holders are rewarded with digital rewards for validated sustainable activities who upon reaching a threshold, gain ownership of virtual spaces to support bootstrapping startups. Virtual space is a conceptual digital environment comprising of SMEs to contribute a reduced number of rewards to the space owners, building their token reserves in exchange of certificates affiliated with space owners. Investors can discover these certified SMEs using AI -driven search engines calibrated to investor preferences. To ensure data integrity and transparency, each transaction-including rewards, ownership records of virtual spaces, and agreements between stakeholders is validated through PoS consensus protocols and recorded on the blockchain. Certificates are securely stored on the IPFS, hashed using SHA-256, and linked to the blockchain. UiPath automates key workflows, such as verifying SBTi holders and triggering blockchain endpoints. By integrating automation and blockchain tech-nologies, the proposed platform accelerates green transitions, facilitates collaboration, and cultivates a thriving ecosystem where sustainability is a shared success.
Authors
- S. Swathi (ORCID: https://orcid.org/0009-0000-9043-5996)
- Chettiyar Vani Vivekanand
- Tamanna Sajjan
Institutions
- Rajalakshmi Engineering College
Publication Details
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1109/idciot64235.2025.10914807
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00