Green Innovation Strategies for Enhancing Sustainable Performance: A Bibliometric Analysis and Research Avenues

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Researchers can use this paper as a structured overview of green innovation literature and to identify underexplored areas in emerging economies.

🏢実務担当者:Corporate sustainability teams can leverage the identified thematic clusters (e.g., ESG, circular economy, AI) to guide their green innovation strategy.

🏛政策担当者:Policymakers should note the need for targeted support for green innovation in emerging economies and the integration of digital technologies in sustainability policies.

Background. Amidst an increasingly dynamic global economic landscape, understanding how green innovation contributes to sustainable performance remains a crucial research agenda. Despite its growing popularity, existing studies continue to report fragmented and divergent outcomes regarding the effects of green innovation on sustainable performance. Purpose. This study presents a systematic literature review and bibliometric analysis of 211 peer-reviewed articles published between 2019 and 2025, sourced from the Scopus and ScienceDirect databases. Findings. Utilising VOS Viewer software, this research draws on the epistemological construction of the disciplines. It identifies six thematic clusters: (1) eco-environmental innovation and sustainable finance, (2) CSR and green supply chains for business performance,             (3) circular economy and sustainable supply chain development, (4) digital transformation and ESG-oriented sustainability, (5) green and sustainable manufacturing research landscape, and (6) AI-based innovation and ESG performance. For the keyword co-occurrence analysis, a complete counting method was applied with a minimum keyword occurrence threshold of 5 to reduce analytical noise and enhance map interpretability, which was considered appropriate given the final dataset size. Network normalisation and visualisation were performed using the association strength method, following the standard VOSviewer procedures to ensure transparency and reproducibility. Implications. This study shows a shift from a fundamental conceptualisation of green innovation toward its strategic alignment with dynamic capabilities, absorptive capacity, and digital technologies, such as artificial intelligence, that enable green, digital, and resilient economic transitions. This study provides a holistic picture of the scope, geographic distribution, and temporal evolution of green innovation research and reveals gaps in geographic and sectoral coverage, particularly in emerging economies.

• semanticscholar https://doi.org/10.61954/2616-7107/2026.10.1-8first seen 2026-05-05 22:27:18