知识工作中痕量数据的绩效生产

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Systems Research Pub Date : 2023-09-20 DOI:10.1287/isre.2019.0357
Aleksi Aaltonen, Marta Stelmaszak
{"title":"知识工作中痕量数据的绩效生产","authors":"Aleksi Aaltonen, Marta Stelmaszak","doi":"10.1287/isre.2019.0357","DOIUrl":null,"url":null,"abstract":"Firms increasingly harness data that are created as by-products of information systems usage to evaluate and manage employees. However, such “trace data” can be a double-edged sword. The data can provide a whole new visibility into work practices but also, make work less transparent if the employees start to change their behavior to shape the data. We study this dilemma in the context of knowledge work that has traditionally eluded behavioral measurement. We show that when knowledge workers become aware of data collection and have an interest in how their work may be represented by the data, they start to actively perform the data. We identify different patterns by which employees shape work practices to produce trace data. The changes affect not only the actions and data of the focal employee but also, the actions and data of their colleagues and subordinates. Therefore, to fully realize the potential of trace data, managers may need to get involved in designing the data and to set a trace data policy that states how the data will be used in the organization.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"6 1","pages":"0"},"PeriodicalIF":5.0000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Performative Production of Trace Data in Knowledge Work\",\"authors\":\"Aleksi Aaltonen, Marta Stelmaszak\",\"doi\":\"10.1287/isre.2019.0357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Firms increasingly harness data that are created as by-products of information systems usage to evaluate and manage employees. However, such “trace data” can be a double-edged sword. The data can provide a whole new visibility into work practices but also, make work less transparent if the employees start to change their behavior to shape the data. We study this dilemma in the context of knowledge work that has traditionally eluded behavioral measurement. We show that when knowledge workers become aware of data collection and have an interest in how their work may be represented by the data, they start to actively perform the data. We identify different patterns by which employees shape work practices to produce trace data. The changes affect not only the actions and data of the focal employee but also, the actions and data of their colleagues and subordinates. Therefore, to fully realize the potential of trace data, managers may need to get involved in designing the data and to set a trace data policy that states how the data will be used in the organization.\",\"PeriodicalId\":48411,\"journal\":{\"name\":\"Information Systems Research\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2023-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Systems Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1287/isre.2019.0357\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/isre.2019.0357","RegionNum":3,"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

摘要

公司越来越多地利用作为信息系统使用的副产品而产生的数据来评估和管理员工。然而,这种“跟踪数据”可能是一把双刃剑。这些数据可以为工作实践提供一个全新的可见性,但如果员工开始改变他们的行为来塑造数据,那么工作就不那么透明了。我们在传统上逃避行为测量的知识工作背景下研究这一困境。我们表明,当知识工作者意识到数据收集并对数据如何表示他们的工作感兴趣时,他们就会开始积极地执行数据。我们识别不同的模式,员工通过这些模式塑造工作实践来产生跟踪数据。这种变化不仅影响焦点员工的行为和数据,也影响其同事和下属的行为和数据。因此,为了充分实现跟踪数据的潜力,管理人员可能需要参与设计数据,并设置跟踪数据策略,该策略说明数据将如何在组织中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
The Performative Production of Trace Data in Knowledge Work
Firms increasingly harness data that are created as by-products of information systems usage to evaluate and manage employees. However, such “trace data” can be a double-edged sword. The data can provide a whole new visibility into work practices but also, make work less transparent if the employees start to change their behavior to shape the data. We study this dilemma in the context of knowledge work that has traditionally eluded behavioral measurement. We show that when knowledge workers become aware of data collection and have an interest in how their work may be represented by the data, they start to actively perform the data. We identify different patterns by which employees shape work practices to produce trace data. The changes affect not only the actions and data of the focal employee but also, the actions and data of their colleagues and subordinates. Therefore, to fully realize the potential of trace data, managers may need to get involved in designing the data and to set a trace data policy that states how the data will be used in the organization.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.10
自引率
8.20%
发文量
120
期刊介绍: ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.
期刊最新文献
Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals Omnificence or Differentiation? An Empirical Study of Knowledge Structure and Career Development of IT Workers Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience Does David Make A Goliath? Impact of Rival’s Expertise Signals on Online User Engagement How to Make My Bug Bounty Cost-Effective? A Game-Theoretical Model
×
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