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, Benjamin Roseth, 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.
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.