Does reluctance to share personal data reduce citizen demand for personalized services? Evidence from a survey experiment

IF 1.4 3区 经济学 Q2 ECONOMICS
Julieth Santamaria, Benjamin Roseth, Florencia Aguirre
{"title":"Does reluctance to share personal data reduce citizen demand for personalized services? Evidence from a survey experiment","authors":"Julieth Santamaria,&nbsp;Benjamin Roseth,&nbsp;Florencia Aguirre","doi":"10.1016/j.socec.2025.102447","DOIUrl":null,"url":null,"abstract":"<div><div>Digital transformation has brought two conflicting trends: a demand for more customized services requiring the use of personal data, and a concern for data protection. Reconciling these trends may influence personalized public service design and adoption strategies. This study explores how to mitigate citizens’ reluctance to share data on personalized public services. Through a survey experiment, we offered two hypothetical services: one educational service (scholarship) and one health-related service (checkup). Respondents were randomly assigned to one of three groups, receiving different information: (i) a summary of service benefits; (ii) a summary of benefits with a data use disclosure; and (iii) a data usage disclosure. The findings show strong baseline interest in personalized services. However, data-use disclosures reduced interest in both services, resulting in declines of 2.7 to 3.0 percentage points. Providing detailed service descriptions increased interest by 5.0 and 6.1 percentage points for education and health services, respectively. This suggests that offering information about the benefits of the service can offset concerns about data privacy. These effects remained consistent among different population groups.</div></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":"119 ","pages":"Article 102447"},"PeriodicalIF":1.4000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral and Experimental Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214804325001119","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Digital transformation has brought two conflicting trends: a demand for more customized services requiring the use of personal data, and a concern for data protection. Reconciling these trends may influence personalized public service design and adoption strategies. This study explores how to mitigate citizens’ reluctance to share data on personalized public services. Through a survey experiment, we offered two hypothetical services: one educational service (scholarship) and one health-related service (checkup). Respondents were randomly assigned to one of three groups, receiving different information: (i) a summary of service benefits; (ii) a summary of benefits with a data use disclosure; and (iii) a data usage disclosure. The findings show strong baseline interest in personalized services. However, data-use disclosures reduced interest in both services, resulting in declines of 2.7 to 3.0 percentage points. Providing detailed service descriptions increased interest by 5.0 and 6.1 percentage points for education and health services, respectively. This suggests that offering information about the benefits of the service can offset concerns about data privacy. These effects remained consistent among different population groups.
不愿分享个人数据是否会降低公民对个性化服务的需求?来自调查实验的证据
数字化转型带来了两种相互冲突的趋势:对需要使用个人数据的更多定制服务的需求,以及对数据保护的关注。协调这些趋势可能会影响个性化的公共服务设计和采用策略。本研究探讨了如何缓解公民不愿分享个性化公共服务数据的问题。通过调查实验,我们提供了两种假设服务:一种是教育服务(奖学金),一种是健康服务(体检)。受访者被随机分配到三组中的一组,收到不同的信息:(i)服务福利的摘要;(ii)资料使用披露的利益摘要;以及(iii)数据使用披露。调查结果显示,人们对个性化服务有着浓厚的兴趣。然而,数据使用的披露降低了对这两种服务的兴趣,导致2.7至3.0个百分点的下降。提供详细的服务描述分别使人们对教育和保健服务的兴趣增加了5.0和6.1个百分点。这表明,提供有关该服务好处的信息可以抵消对数据隐私的担忧。这些影响在不同的人群中保持一致。
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 求助全文
来源期刊
CiteScore
2.60
自引率
12.50%
发文量
113
审稿时长
83 days
期刊介绍: The Journal of Behavioral and Experimental Economics (formerly the Journal of Socio-Economics) welcomes submissions that deal with various economic topics but also involve issues that are related to other social sciences, especially psychology, or use experimental methods of inquiry. Thus, contributions in behavioral economics, experimental economics, economic psychology, and judgment and decision making are especially welcome. The journal is open to different research methodologies, as long as they are relevant to the topic and employed rigorously. Possible methodologies include, for example, experiments, surveys, empirical work, theoretical models, meta-analyses, case studies, and simulation-based analyses. Literature reviews that integrate findings from many studies are also welcome, but they should synthesize the literature in a useful manner and provide substantial contribution beyond what the reader could get by simply reading the abstracts of the cited papers. In empirical work, it is important that the results are not only statistically significant but also economically significant. A high contribution-to-length ratio is expected from published articles and therefore papers should not be unnecessarily long, and short articles are welcome. Articles should be written in a manner that is intelligible to our generalist readership. Book reviews are generally solicited but occasionally unsolicited reviews will also be published. Contact the Book Review Editor for related inquiries.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信