Circular-Oriented Innovation for Solving Grand Environmental Challenges: A Multiple-case Study

This paper explores the question of how provider companies create and capture value from Big Data, drawing on a multiple-case study analysis of provider companies that offer solutions and services based on Big Data. The results illustrate a theoretical framework on value creation and capture by rel…

Data-driven design methods are promising when it happens to broaden external stimuli, help during the design ideation phases. Prof. Jianxi Luo and his colleagues developed a knowledge-based expert system that provides design stimuli across the semantic, document and field levels at the same time an…

This paper proposes a unifying Open Innovation in Science (OIS) Research Framework, which captures the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation. …