À PROPOS DE CET ÉPISODE
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 and helps with concept generation. During the session, we will explore how this tool can be applied for research and practical work.
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Rechercher les épisodes précédents de ISPIM Innovation.
AUTRES ÉPISODES DANS CE PODCAST
The first episode is on Circular-Oriented Innovation for Solving Grand Environmental Challenges: A Multiple-case Study by Paavo Ritala and Jenni Kaipainen.
Despite the growing pressure to become more sustainable and the availability of managerial practices, organisations struggle with being innovative without neglecting sustainability concerns. This paper approaches this issue from two perspectives: the organisations’ culture and scepticism among mana…
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. …
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…
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