{"title":"对数字生态系统中数据阴暗面的现实评估","authors":"Faten Jaber, Muneer Abbad","doi":"10.1177/01655515231205499","DOIUrl":null,"url":null,"abstract":"This article examines the negative consequences that can arise from the utilisation of innovative data practices implemented by organisations. While these technologies offer significant value, their improper implementation can lead to harmful practices that undermine the rights of individuals within societies. Through a systematic literature review of 383 articles employing the realistic evaluation theory, this study synthesises key findings to identify the contextual factors that contribute to these harmful practices. The results highlight the challenges posed by the characteristics of Big Data, often resulting in haphazard data implementation scenarios. Three critical mechanisms, namely data transparency, biases, and breaches, interact with these implementation contexts, leading to adverse outcomes that compromise individual empowerment, societal fairness, and personal privacy. In addition, this article identifies important areas for future research and provides recommendations for policymakers to effectively manage the negative aspects of data practices, ensuring sustainability within the digital ecosystem.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"29 1","pages":"0"},"PeriodicalIF":1.8000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A realistic evaluation of the dark side of data in the digital ecosystem\",\"authors\":\"Faten Jaber, Muneer Abbad\",\"doi\":\"10.1177/01655515231205499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article examines the negative consequences that can arise from the utilisation of innovative data practices implemented by organisations. While these technologies offer significant value, their improper implementation can lead to harmful practices that undermine the rights of individuals within societies. Through a systematic literature review of 383 articles employing the realistic evaluation theory, this study synthesises key findings to identify the contextual factors that contribute to these harmful practices. The results highlight the challenges posed by the characteristics of Big Data, often resulting in haphazard data implementation scenarios. Three critical mechanisms, namely data transparency, biases, and breaches, interact with these implementation contexts, leading to adverse outcomes that compromise individual empowerment, societal fairness, and personal privacy. In addition, this article identifies important areas for future research and provides recommendations for policymakers to effectively manage the negative aspects of data practices, ensuring sustainability within the digital ecosystem.\",\"PeriodicalId\":54796,\"journal\":{\"name\":\"Journal of Information Science\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/01655515231205499\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/01655515231205499","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
A realistic evaluation of the dark side of data in the digital ecosystem
This article examines the negative consequences that can arise from the utilisation of innovative data practices implemented by organisations. While these technologies offer significant value, their improper implementation can lead to harmful practices that undermine the rights of individuals within societies. Through a systematic literature review of 383 articles employing the realistic evaluation theory, this study synthesises key findings to identify the contextual factors that contribute to these harmful practices. The results highlight the challenges posed by the characteristics of Big Data, often resulting in haphazard data implementation scenarios. Three critical mechanisms, namely data transparency, biases, and breaches, interact with these implementation contexts, leading to adverse outcomes that compromise individual empowerment, societal fairness, and personal privacy. In addition, this article identifies important areas for future research and provides recommendations for policymakers to effectively manage the negative aspects of data practices, ensuring sustainability within the digital ecosystem.
期刊介绍:
The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.