| Titre | Overcoming Innovation Barriers along the Automotive Industry Value Chain – A Framed Experiment | |
|---|---|---|
| Auteur | Tobias Buchmann, Alexander Haering, Muhamed Kudic, Michael Rothgang | |
 |
Revue | Journal of Innovation Economics |
| Numéro | no 44, 2024/2 Artificial Intelligence and Sustainability | |
| Rubrique / Thématique | Varia |
|
| Page | 191-222 | |
| Résumé anglais |
The conditions under which R&D resources are allocated either to individual or collective R&D projects are largely unexplored. We contribute to closing this gap by asking under which conditions firms – each of which occupies a unique position along the automotive industry value chain – may overcome innovation barriers and spend scarce resources for collective R&D projects. We use a framed laboratory experiment to scrutinize the influence of different situations on the decision to spend the R&D budget for individual or collective R&D projects. The framing originates from a real-world case study of the massive metal forging industry. We identify constellations that support budget spending for collaborative purposes, e.g., sequential decision-making, which also increase the overall welfare, even in the case of unequally distributed R&D budgets.JEL Codes: O31, O32, C91. Source : Éditeur (via Cairn.info) |
|
| Article en ligne | https://www.cairn.info/article.php?ID_ARTICLE=JIE_044_0166 |
