What Information Do Shoppers Share? The Effect of Personnel-, Retailer-, and Country-Trust on Willingness to Share Information

业务 背景(考古学) 宏观层面 个人可识别信息 营销 产品(数学) 经济 古生物学 经济体制 几何学 计算机安全 数学 计算机科学 生物
作者
Monica Grosso,Sandro Castaldo,Hua Li,Bart Larivière
出处
期刊:Journal of Retailing [Elsevier]
卷期号:96 (4): 524-547 被引量:30
标识
DOI:10.1016/j.jretai.2020.08.002
摘要

The relationship between consumers’ privacy concerns and their willingness to disclose personal information to retailers is more complex than a simple negative one. The multi-faced context, within which privacy decisions take place, shapes and bounds this relationship. Drawing on privacy contextual integrity theory, we model the privacy decisions as influenced by individuals’ multilevel trusting surroundings, which include trust in a retailer and in its personnel at the micro-level, and trust in a country at the macro-level. Based on 22,050 survey data across seven product categories in fourteen countries, our Bayesian multilevel modeling reveals that micro- and macro-level trust may promote consumers’ disclosure intentions via three mechanisms: (1) micro-level trust positive effect on consumers’ willingness to disclose their data; (2) micro-level trust effect by attenuating privacy concerns’ negative influence on this willingness; and (3) the positive indirect effect of trust in the country on both the direct and indirect impacts of trust in a retailer and in its personnel. Interestingly, trust’s direct effects are found in all the investigated types of information (i.e., identification, medical, financial, locational, demographic, lifestyle, and media usage data), whereas the indirect effects are found to vary across information types. Our post-hoc cluster analysis shows that different retail contexts can be classified into three clusters and help retailers understand whether they should invest in developing both trust in their retail company and in their personnel, or mainly on one of the two. By taking different types of trust and context effects into consideration, our findings help different retailers encourage customers to disclose their data with them.
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
刚刚
刚刚
1秒前
ccxb1014ft完成签到,获得积分10
1秒前
xxy应助郭素玲采纳,获得30
2秒前
黑马王子发布了新的文献求助30
2秒前
tt完成签到,获得积分10
2秒前
hhhhh完成签到 ,获得积分10
2秒前
Jasper应助活力的白猫采纳,获得30
2秒前
现代的bb发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
3秒前
小马甲应助霸气的念云采纳,获得10
3秒前
3秒前
彭于晏应助生动的猴子采纳,获得30
3秒前
ssssima完成签到,获得积分10
3秒前
4秒前
科研通AI2S应助777采纳,获得10
4秒前
就在咫尺之间完成签到 ,获得积分10
4秒前
浅忆完成签到,获得积分20
5秒前
5秒前
犹豫晓啸发布了新的文献求助10
5秒前
QQQ发布了新的文献求助10
5秒前
wz发布了新的文献求助10
5秒前
小二郎应助aria采纳,获得10
6秒前
Huzhu应助开口笑采纳,获得10
7秒前
风清扬发布了新的文献求助10
7秒前
7秒前
7秒前
852应助火星上的书萱采纳,获得10
7秒前
学分完成签到 ,获得积分10
8秒前
小哪吒发布了新的文献求助10
8秒前
8秒前
wandering发布了新的文献求助10
8秒前
Maeth完成签到,获得积分10
8秒前
8秒前
SAKURA应助浅忆采纳,获得10
9秒前
9秒前
10秒前
Bioxcai完成签到,获得积分10
10秒前
舒心的面包应助少年锦时采纳,获得20
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 800
Efficacy of sirolimus in Klippel-Trenaunay syndrome 500
上海破产法庭破产实务案例精选(2019-2024) 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5478020
求助须知:如何正确求助?哪些是违规求助? 4579793
关于积分的说明 14370768
捐赠科研通 4508017
什么是DOI,文献DOI怎么找? 2470377
邀请新用户注册赠送积分活动 1457252
关于科研通互助平台的介绍 1431244