Innovation system functions: Survey data of additive manufacturing enterprises in South Africa
This dataset comprises survey data from South African additive manufacturing (AM) enterprises, representing approximately 80% of the industry. The survey was designed using innovation indicators from the technology innovation system (TIS) framework to explore the dynamics within South African AM enterprises. Six TIS experts and 2AM industry specialists validated the survey's comprehensiveness and relevance. A statistician reviewed the data collection process to ensure it was suitable for robust statistical analysis. Managers of South African AM enterprises were invited to complete the survey online, and the responses were systematically collected and stored. This dataset is a valuable resource for AM researchers and practitioners, facilitating market gap analysis concerning current materials and services and offering insights for future AM applications.
Authors
- Sara Grobbelaar (ORCID: https://orcid.org/0000-0002-2793-9689)
- Natasha Sacks (ORCID: https://orcid.org/0000-0001-7769-7588)
- Michelle Smit
Institutions
- Stellenbosch University (ZA)
- Department of Science,Technology and Innovation (ZA)
- Africa Rice Center (CI)
Publication Details
- Journal
- Data in Brief
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1016/j.dib.2024.110943
- Citations
- 2
- Primary Topic
- Innovation Policy and R&D
- Type
- article
- Field-Weighted Citation Impact
- 2.26
Funders
- Strong