Data-driven innovation for sustainable product development: a knowledge management perspective

Editors

Description

This special issue invites submissions that explore the intersection of data-driven innovation, sustainable product development, and knowledge management. We seek research that examines how organizations can leverage data analytics, big data, machine learning, and knowledge management systems to drive innovation in sustainable product development. The focus is on understanding how data can be collected, analyzed, interpreted, and managed to support decision-making processes that lead to more sustainable products and services.

Potential topics

• Application of data analytics and big data techniques in sustainable product development
• Knowledge management systems for supporting data-driven innovation in sustainability contexts
• Integration of lifecycle assessment (LCA) data with knowledge management platforms
• Machine learning and AI applications for identifying sustainable product innovations
• Data governance frameworks for managing sustainability-related information
• Organizational learning and knowledge sharing in sustainable innovation processes
• Digital transformation enabling sustainable product development
• Real-world case studies of data-driven sustainable product innovation
• Challenges and barriers to implementing data-driven approaches in sustainability
• Tools and technologies for collecting, analyzing, and leveraging sustainability data