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.

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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

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article

Innovation system functions: Survey data of additive manufacturing enterprises in South Africa

Sara Grobbelaar, Natasha Sacks, Michelle Smit
2 citations
Data in Brief
Innovation Policy and R&D
2.26
article

Innovation system functions: Survey data of additive manufacturing enterprises in South Africa

Sara Grobbelaar, Natasha Sacks, Michelle Smit
article en
2 citations

Abstract

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.

Data in BriefVol. 57
Stellenbosch University (ZA), Department of Science,Technology and Innovation (ZA), Africa Rice Center (CI)
Strong
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Innovation Policy and R&D
2.26
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