Michelle Smit , Sara S. Grobbelaar , Natasha Sacks
{"title":"Innovation system functions: Survey data of additive manufacturing enterprises in South Africa","authors":"Michelle Smit , Sara S. Grobbelaar , Natasha Sacks","doi":"10.1016/j.dib.2024.110943","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340924009065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
该数据集包含来自南非增材制造(AM)企业的调查数据,约占该行业的 80%。调查使用技术创新系统(TIS)框架中的创新指标进行设计,以探索南非 AM 企业内部的动态。六位技术创新体系专家和 2 位 AM 行业专家对调查的全面性和相关性进行了验证。一位统计学家对数据收集过程进行了审查,以确保其适合进行可靠的统计分析。南非 AM 企业的管理人员应邀在线完成了调查,并系统地收集和储存了答复。该数据集是 AM 研究人员和从业人员的宝贵资源,有助于分析当前材料和服务的市场差距,并为 AM 的未来应用提供见解。
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.