Accountability and learning with motivated agents

IF 0.6 4区 社会学 Q3 POLITICAL SCIENCE Journal of Theoretical Politics Pub Date : 2022-01-18 DOI:10.1177/09516298211061157
T. Yu
{"title":"Accountability and learning with motivated agents","authors":"T. Yu","doi":"10.1177/09516298211061157","DOIUrl":null,"url":null,"abstract":"Should accountability be introduced to organizations that are learning about the right policies to achieve their goals? I develop an agency model focusing on the interactions between accountability and an agent’s intrinsic motivation. More effort by the agent leads to more informative policy outcomes and thereby better policy learning. Holding the agent accountable for the policy outcomes motivates the agent and thus improves policy learning. However, by removing the agent from office upon policy failure and thereby taking away his benefit from learning through failure, accountability also discourages the agent. This negative effect is more substantial when the intrinsic motivation is higher. The principal, therefore, refrains from using accountability on the agent who is more intrinsically motivated.","PeriodicalId":51606,"journal":{"name":"Journal of Theoretical Politics","volume":"34 1","pages":"313 - 329"},"PeriodicalIF":0.6000,"publicationDate":"2022-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Theoretical Politics","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/09516298211061157","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Should accountability be introduced to organizations that are learning about the right policies to achieve their goals? I develop an agency model focusing on the interactions between accountability and an agent’s intrinsic motivation. More effort by the agent leads to more informative policy outcomes and thereby better policy learning. Holding the agent accountable for the policy outcomes motivates the agent and thus improves policy learning. However, by removing the agent from office upon policy failure and thereby taking away his benefit from learning through failure, accountability also discourages the agent. This negative effect is more substantial when the intrinsic motivation is higher. The principal, therefore, refrains from using accountability on the agent who is more intrinsically motivated.
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
问责制和学习与积极的代理人
是否应该向正在学习正确政策以实现其目标的组织引入问责制?我开发了一个代理模型,重点关注问责制和代理人内在动机之间的互动。代理人的更多努力会带来更多信息的政策结果,从而更好地学习政策。让代理人对政策结果负责会激励代理人,从而改进政策学习。然而,由于在政策失败时将代理人免职,从而剥夺了他在失败中学习的利益,问责制也阻碍了代理人的积极性。当内在动机较高时,这种负面影响更为显著。因此,委托人避免对更有内在动机的代理人追究责任。
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
Journal of Theoretical Politics
Journal of Theoretical Politics POLITICAL SCIENCE-
CiteScore
2.10
自引率
10.00%
发文量
19
期刊介绍: The Journal of Theoretical Politics is an international journal one of whose principal aims is to foster the development of theory in the study of political processes. It provides a forum for the publication of original papers seeking to make genuinely theoretical contributions to the study of politics. The journal includes rigorous analytical articles on a range of theoretical topics. In particular, it focuses on new theoretical work which is broadly accessible to social scientists and contributes to our understanding of political processes. It also includes original syntheses of recent theoretical developments in diverse fields.
期刊最新文献
Tell me the truth? Dictatorship and the commitment to media freedom Law enforcement and political misinformation Decentralised information transmission in the shadow of conflict (Not) Addressing issues in electoral campaigns Collective agency and positive political theory
×
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