Open data platforms for transformational entrepreneurship: Inclusion and exclusion mechanisms

IF 20.1 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE International Journal of Information Management Pub Date : 2023-10-01 DOI:10.1016/j.ijinfomgt.2023.102664
Thomas Wainwright , Franz Huber , Christoph Stöckmann , Sascha Kraus
{"title":"Open data platforms for transformational entrepreneurship: Inclusion and exclusion mechanisms","authors":"Thomas Wainwright ,&nbsp;Franz Huber ,&nbsp;Christoph Stöckmann ,&nbsp;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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
转型创业的开放数据平台:包容与排斥机制
开放数据被认为是刺激创新、创造经济和社会价值的重要资源。开放数据研究人员已经研究了公共机构发布数据的重要性,但相比之下,对如何利用开放数据的关注要少得多。在本文中,我们旨在深入了解平台的行动,以协助转型企业家利用开放数据,从而系统地促进社会经济发展的转型。我们的研究结果调查了两种类型的机制,反映了数据移动的开放性和封闭的竞争性商业需求。首先,包容机制是开放数据生态系统的社会机制,通过支持企业家利用开放数据进行创新,寻求吸引广泛的潜在合作者。其次,部署排除机制来过滤合作者,以确定那些被平台视为更有可能成功利用其数据或发展收入共享关系的人。我们揭示了如何在创新过程的不同阶段使用这些机制,在寻求减少它们以更好地针对有限资源之前,首先吸引广泛的合作者。尽管“开放”是开放数据出版的关键要求,但对于成功的转型企业家来说,它需要封闭的维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Information Management
International Journal of Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
53.10
自引率
6.20%
发文量
111
审稿时长
24 days
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.
期刊最新文献
Using the influence of human-as-machine representation for self-improvement products The exploration of users’ perceived value from personalization and virtual conversational agents to enable a smart home assemblage– A mixed method approach Extending the unified theory of acceptance and use of technology for sustainable technologies context Unrequited love? A mixed-methods study of parasocial engagement with social media influencers Editorial Board
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1