亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Choice Architecture, Framing, and Cascaded Privacy Choices

选择架构 上游(联网) 建筑 框架(结构) 下游(制造业) 计算机科学 业务 互联网隐私 经济 微观经济学 营销 电信 工程类 结构工程 艺术 视觉艺术
作者
Idris Adjerid,Alessandro Acquisti,George Loewenstein
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
被引量:8
标识
DOI:10.1287/mnsc.2018.3028
摘要

AboutSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked InEmail Go to Section HomeManagement ScienceVol. 65, No. 5 Choice Architecture, Framing, and Cascaded Privacy ChoicesIdris Adjerid , Alessandro Acquisti , George LoewensteinIdris Adjerid , Alessandro Acquisti , George LoewensteinPublished Online:5 Nov 2018https://doi.org/10.1287/mnsc.2018.3028AbstractFor consumers, managing privacy online requires navigating a complex process of interrelated choices. This process may be conceived of as “cascaded,” in that a combination of upstream choices (e.g., of privacy settings on a social network site) and downstream choices (e.g., of what to reveal on the site) together determine ultimate privacy outcomes. In a series of experiments, we examine the potential impact of choice architecture in cascaded privacy choice settings. We investigate how changes in choice frames implemented by service providers can influence consumers’ upstream disclosure settings, often in ways that they are unaware of and that may be destructive to them. Whether the effects of choice frames upstream are ultimately detrimental to individuals’ privacy, however, depends on whether they are offset by more or less protective downstream choices. Thus, we also examine whether such upstream effects of choice architecture are “mitigated” through changes in downstream self-disclosure. We find, first, that various manipulations of decision frames, common in privacy contexts, significantly impact participants’ upstream choice of disclosure settings. Second, we do not find evidence that the impact of choice architecture upstream is mitigated downstream: participants’ self-disclosure rates do not adjust or change in response to choice architecture-induced changes in upstream choices. These findings call into question both policy makers’ and industry advocates’ reliance on choice-based privacy protection mechanisms, contribute to an emerging behavioral perspective on privacy decision making, and highlight the importance of accounting for the cascaded nature of privacy decision making in both policy and managerial settings.This paper was accepted by Uri Gneezy, behavioral economics. Previous Back to Top Next FiguresReferencesRelatedInformationCited byThe Decoy Effect and Recommendation SystemsNasim Mousavi, Panagiotis Adamopoulos, Jesse Bockstedt13 January 2023 | Information Systems Research, Vol. 0, No. 0Valuing Intrinsic and Instrumental Preferences for PrivacyTesary Lin13 May 2022 | Marketing Science, Vol. 41, No. 4Gain-Loss Incentives and Physical Activity: The Role of Choice and Wearable Health ToolsIdris Adjerid, George Loewenstein, Rachael Purta, Aaron Striegel28 May 2021 | Management Science, Vol. 68, No. 4“I” Am Willing to Disclose, but “We” are Unwilling: The Impact of Self-Construal on Individuals’ Willingness to Disclose1 December 2021 | Psychology Research and Behavior Management, Vol. Volume 14Critical roles of knowledge and motivation in privacy researchCurrent Opinion in Psychology, Vol. 31Policy Proposals for PIPEDA Reform to Address Artificial IntelligenceSSRN Electronic JournalValuing Intrinsic and Instrumental Preferences for PrivacySSRN Electronic JournalConsumer Consent and Firm Targeting after GDPR: The Case of a Large Telecom ProviderSSRN Electronic Journal Volume 65, Issue 5May 2019Pages 1949-2443 Article Information Metrics Information Received:January 12, 2017Accepted:November 02, 2017Published Online:November 05, 2018 Copyright © 2018, INFORMSCite asIdris Adjerid, Alessandro Acquisti, George Loewenstein (2018) Choice Architecture, Framing, and Cascaded Privacy Choices. Management Science 65(5):2267-2290. https://doi.org/10.1287/mnsc.2018.3028 Keywordschoice architectureprivacy decision makingframingbehavior and behavioral decision makingPDF download
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
稳重的泽洋完成签到 ,获得积分10
20秒前
爆米花应助动听葵阴采纳,获得10
30秒前
39秒前
40秒前
动听葵阴发布了新的文献求助10
45秒前
ieeat完成签到,获得积分10
1分钟前
1分钟前
紫色奶萨发布了新的文献求助10
1分钟前
huenguyenvan完成签到,获得积分10
1分钟前
GingerF应助淡然的妙芙采纳,获得50
1分钟前
慕青应助阳光小馒头采纳,获得10
2分钟前
2分钟前
远行客HB完成签到,获得积分10
2分钟前
李心雨发布了新的文献求助20
2分钟前
2分钟前
远行客HB发布了新的文献求助10
2分钟前
CodeCraft应助村上春树的摩的采纳,获得100
2分钟前
浮游应助李心雨采纳,获得10
2分钟前
Shandongdaxiu完成签到 ,获得积分10
2分钟前
2分钟前
英姑应助断罪残影采纳,获得10
3分钟前
3分钟前
FairyLeaf发布了新的文献求助20
3分钟前
3分钟前
3分钟前
动听葵阴发布了新的文献求助10
3分钟前
丘比特应助热情的安彤采纳,获得10
4分钟前
4分钟前
Abdurrahman完成签到,获得积分10
4分钟前
oscar完成签到,获得积分10
4分钟前
dkswy完成签到,获得积分10
4分钟前
4分钟前
科研通AI6应助泽灵采纳,获得10
4分钟前
ykssss发布了新的文献求助10
4分钟前
ykssss完成签到,获得积分10
4分钟前
5分钟前
5分钟前
宝贝丫头完成签到 ,获得积分10
5分钟前
Stata@R发布了新的文献求助10
5分钟前
5分钟前
高分求助中
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Comparing natural with chemical additive production 500
Machine Learning in Chemistry 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.) 400
Refractory Castable Engineering 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5198616
求助须知:如何正确求助?哪些是违规求助? 4379557
关于积分的说明 13638287
捐赠科研通 4235728
什么是DOI,文献DOI怎么找? 2323520
邀请新用户注册赠送积分活动 1321638
关于科研通互助平台的介绍 1272661