Mapping the Convergence of Digital Social Innovation, Air Quality Management, and Air Pollution Management: Insights from a Bibliometric Analysis

Abstract

Effective management of air quality and pollution control requires innovative solutions. Digital Social Innovation (DSI) offers valuable insights for improving air quality management by integrating technology and fostering community engagement. This study examines the connections between DSI and Air Quality/Pollution Management, through bibliometric analysis and a text dimensionality reduction technique. The findings reveal a convergence in the literature, which can be categorized into two types: Soft Convergence, emphasizing the role of community involvement in policy development, and Hard Convergence, focusing on technological innovations in modeling and air pollution management. These findings underscore DSI's potential to support both social and technological advancements in environmental management.