Synergistic evolution mechanisms for improving open government data ecosystems using the Haken model

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Library & Information Science Research Pub Date : 2024-01-01 DOI:10.1016/j.lisr.2024.101284

Jun Fang, Longwen Zhao

{"title":"Synergistic evolution mechanisms for improving open government data ecosystems using the Haken model","authors":"Jun Fang, Longwen Zhao","doi":"10.1016/j.lisr.2024.101284","DOIUrl":null,"url":null,"abstract":"<div><p>While the Open Government Data (OGD) movement is flourishing globally, the large-scale utilization and value creation of OGD has not yet truly opened up. A multi-layered model of “open data - data utilization - data value creation”, aiming to reveal the synergistic evolution mechanisms between the three levels was proposed. The results show that: (1) From 2012 to 2021, a synergistic evolution mechanism occurs between the data-opening layer and the value-creating layer, with value generation as the order parameter. (2) From 2022 to 2035, there may be a shift in the dominance of the order parameter between the data-opening layer and the value-creating layer, and a new synergistic evolution mechanism between the data-opening layer and the data-utilizing layer might be generated. Therefore, the establishment of a synergistic evolution mechanism between the data-utilizing layer and the value-creating layer has the potential to increase the benefits of OGD ecosystems.</p></div>","PeriodicalId":47618,"journal":{"name":"Library & Information Science Research","volume":"46 1","pages":"Article 101284"},"PeriodicalIF":2.4000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0740818824000057/pdfft?md5=2a401eef43aef96927f69af2eaa70514&pid=1-s2.0-S0740818824000057-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Library & Information Science Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0740818824000057","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}

引用次数: 0

Abstract

While the Open Government Data (OGD) movement is flourishing globally, the large-scale utilization and value creation of OGD has not yet truly opened up. A multi-layered model of “open data - data utilization - data value creation”, aiming to reveal the synergistic evolution mechanisms between the three levels was proposed. The results show that: (1) From 2012 to 2021, a synergistic evolution mechanism occurs between the data-opening layer and the value-creating layer, with value generation as the order parameter. (2) From 2022 to 2035, there may be a shift in the dominance of the order parameter between the data-opening layer and the value-creating layer, and a new synergistic evolution mechanism between the data-opening layer and the data-utilizing layer might be generated. Therefore, the establishment of a synergistic evolution mechanism between the data-utilizing layer and the value-creating layer has the potential to increase the benefits of OGD ecosystems.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

利用哈肯模型改进开放式政府数据生态系统的协同演化机制

尽管开放政府数据（OGD）运动在全球范围内蓬勃发展，但开放政府数据的大规模利用和价值创造尚未真正开放。本文提出了 "开放数据-数据利用-数据价值创造 "的多层次模型，旨在揭示三个层次之间的协同演进机制。研究结果表明(1）从 2012 年到 2021 年，数据开放层与价值创造层之间形成协同演化机制，价值创造为序参量；从 2022 年到 2021 年，数据开放层与价值创造层之间形成协同演化机制，价值创造为序参量。(2）从 2022 年到 2035 年，数据开放层和价值创造层之间的顺序参数的主导地位可能会发生变化，数据开放层和数据利用层之间可能会产生新的协同演化机制。因此，在数据利用层和价值创造层之间建立协同演化机制有可能增加 OGD 生态系统的效益。

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

Library & Information Science Research INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

4.60

自引率

6.90%

发文量

期刊介绍： Library & Information Science Research, a cross-disciplinary and refereed journal, focuses on the research process in library and information science as well as research findings and, where applicable, their practical applications and significance. All papers are subject to a double-blind reviewing process.