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

Call for Papers

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

Journal: Journal of Engineering and Technology Management
Publisher: Elsevier
Submission Opens: 15 April 2026
Manuscript Submission Deadline: 15 October 2026

Introduction
Sustainable product development demands broader knowledge bases integrating heterogeneous expertise amid rising consumer sustainability demands. This Special Issue examines data-driven business models (IoT, AI, analytics) enabling knowledge management for eco-innovation across life-cycle stages, supply chain collaboration, and renewable systems.

Guest Editors
Alberto Ferraris (alberto.ferraris@unito.it)
Francesco Antonio Perotti
Shahriar Akter (shahriar_akter@uow.edu.au)
Lorenzo Ardito (lorenzo.ardito@poliba.it)

List of Topic Areas
Submissions invited addressing:

• Knowledge management processes supporting sustainable product innovation

• Data-driven business models fueling digital sustainable innovation

• Ecosystem/supply chain collaboration for sustainable development

• Technological innovations enhancing renewable production/consumption

Guest Editors Contact Details

Submission Process & Deadlines
Submit via Editorial Manager at https://www.editorialmanager.com/engtec/default.aspx, selecting "VSI: Data-driven Innovation".

Submission Guidelines
Guide for Authors: https://www.sciencedirect.com/journal/journal-of-engineering-and-technology-management/publish/guide-for-authors

About the Journal
Journal of Engineering and Technology Management (Impact Factor 3.9, CiteScore 6.7) publishes research on technology strategy, innovation management, and engineering organizations.

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