Ideas with impact: How connectivity shapes idea diffusion
| Autor: | Christine Moser, Dirk Deichmann, Shenghui Wang, Peter P. Groenewegen, Julie M. Birkholz, Adina Nerghes |
|---|---|
| Přispěvatelé: | DHLab, Department of Technology and Operations Management, Innovation Management, Human Media Interaction, Organization Sciences, Organization & Processes of Organizing in Society (OPOS), Information, Logistics and Innovation |
| Rok vydání: | 2020 |
| Předmět: |
SOCIAL NETWORK ANALYSIS
INNOVATION Computer science Strategy and Management Citations Management Science and Operations Research 050905 science studies Business and Economics CENTRALITY Management of Technology and Innovation 0502 economics and business TECHNOLOGY NOVELTY Content network Diffusion (business) SEMANTIC WEB Content (Freudian dream analysis) Social network analysis Semantic Web Social network Cognitive science business.industry RESEARCH COLLABORATION 05 social sciences ATTENTION 22/2 OA procedure Novelty SDG 10 - Reduced Inequalities SCIENCE Team working Scientific publication Idea diffusion 0509 other social sciences Research collaboration business Centrality 050203 business & management KNOWLEDGE CREATION |
| Zdroj: | RESEARCH POLICY Research Policy, 49(1). Elsevier B.V. Research Policy, 49(1):103881. Elsevier Deichmann, D, Moser, C, Birkholz, J M, Nerghes, A, Groenewegen, P & Wang, S 2020, ' Ideas with impact : How connectivity shapes idea diffusion ', Research Policy, vol. 49, no. 1, 103881, pp. 1-11 . https://doi.org/10.1016/j.respol.2019.103881 Research policy, 49(1):103881. Elsevier Research Policy, 49(1):103881, 1-11. Elsevier |
| ISSN: | 0048-7333 |
| DOI: | 10.1016/j.respol.2019.103881 |
| Popis: | Despite a growing body of research on idea diffusion, there is a lack of knowledge on why some ideas successfully diffuse and stand out from the crowd while others do not surface or remain unnoticed. We address this question by looking into the characteristics of an idea, specifically its connectivity in a content network. In a content network, ideas connect to other ideas through their content—the words that the ideas have in common. We hypothesize that a high connectivity of an idea in a content network is beneficial for idea diffusion because this idea will more likely be conceived as novel yet at the same time also as more useful because it appears as more familiar to the audience. Moreover, we posit that a high social connectivity of the team working on the idea further enhances the effect of high content connectivity on idea diffusion. Our study focuses on academic conference publications and the co-authorship data of a community of computer science researchers from 2006 to 2012. We find confirmation for our hypotheses and discuss the implications of these findings. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect