Thomas Wainwright , Franz Huber , Christoph Stöckmann , Sascha Kraus
{"title":"Open data platforms for transformational entrepreneurship: Inclusion and exclusion mechanisms","authors":"Thomas Wainwright , Franz Huber , Christoph Stöckmann , Sascha Kraus","doi":"10.1016/j.ijinfomgt.2023.102664","DOIUrl":null,"url":null,"abstract":"<div><p>Open data is considered an important resource to stimulate innovation and create economic and social value. Open data researchers have examined the importance of data publication by public bodies, but in contrast, much less attention has focused on how open data is exploited. In this paper, we aim to provide insight into the actions of platforms to assist open data exploitation by transformational entrepreneurs, which systemically facilitate transformation in socio-economic development. Our findings investigate two types of mechanism, reflecting the openness of the data movement and the competitive commercial need for closure. First, inclusion mechanisms are social mechanisms of the open data ecosystem which seek to attract a broad range of potential collaborators through supporting entrepreneurs to innovate with open data. Second, exclusion mechanisms are deployed to filter collaborators, to identify those who are seen by platforms to be more likely to successfully exploit their data, or develop revenue sharing relationships. We reveal how these mechanisms are used at different stages of the innovation process, to initially attract a wide pool of collaborators, before seeking to reduce them to better target limited resources. Despite ‘openness’ being a key requirement of open data publication, for successful transformational entrepreneur exploitation, it requires dimensions of closure.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":null,"pages":null},"PeriodicalIF":20.1000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268401223000452","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Open data is considered an important resource to stimulate innovation and create economic and social value. Open data researchers have examined the importance of data publication by public bodies, but in contrast, much less attention has focused on how open data is exploited. In this paper, we aim to provide insight into the actions of platforms to assist open data exploitation by transformational entrepreneurs, which systemically facilitate transformation in socio-economic development. Our findings investigate two types of mechanism, reflecting the openness of the data movement and the competitive commercial need for closure. First, inclusion mechanisms are social mechanisms of the open data ecosystem which seek to attract a broad range of potential collaborators through supporting entrepreneurs to innovate with open data. Second, exclusion mechanisms are deployed to filter collaborators, to identify those who are seen by platforms to be more likely to successfully exploit their data, or develop revenue sharing relationships. We reveal how these mechanisms are used at different stages of the innovation process, to initially attract a wide pool of collaborators, before seeking to reduce them to better target limited resources. Despite ‘openness’ being a key requirement of open data publication, for successful transformational entrepreneur exploitation, it requires dimensions of closure.
期刊介绍:
The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include:
Comprehensive Coverage:
IJIM keeps readers informed with major papers, reports, and reviews.
Topical Relevance:
The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues.
Focus on Quality:
IJIM prioritizes high-quality papers that address contemporary issues in information management.