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 BV]
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
舟遥遥完成签到,获得积分10
1秒前
华仔应助大橙子采纳,获得10
3秒前
桐桐应助Bismarck采纳,获得10
7秒前
CLY完成签到,获得积分10
8秒前
9秒前
rita_sun1969完成签到,获得积分10
10秒前
研友_8K2QJZ完成签到,获得积分10
10秒前
蝴蝶完成签到 ,获得积分10
11秒前
ARIA完成签到 ,获得积分10
11秒前
大橙子发布了新的文献求助10
14秒前
Bismarck完成签到,获得积分20
15秒前
15秒前
爱笑子默完成签到,获得积分10
16秒前
16秒前
一点完成签到,获得积分10
18秒前
研友_VZG7GZ应助大葱鸭采纳,获得10
18秒前
DezhaoWang完成签到,获得积分10
19秒前
知犯何逆发布了新的文献求助10
20秒前
原本完成签到,获得积分10
20秒前
Bismarck发布了新的文献求助10
21秒前
苗条丹南完成签到 ,获得积分10
23秒前
yu完成签到 ,获得积分10
26秒前
skyleon完成签到,获得积分10
26秒前
无心的天真完成签到 ,获得积分10
27秒前
Engen完成签到,获得积分20
27秒前
28秒前
学术小垃圾完成签到,获得积分10
28秒前
dreamwalk完成签到 ,获得积分10
28秒前
黄淮科研小白龙完成签到 ,获得积分10
29秒前
齐嫒琳完成签到,获得积分10
31秒前
研友_Lav0Qn完成签到,获得积分10
31秒前
大橙子发布了新的文献求助10
32秒前
GreenT完成签到,获得积分10
32秒前
鳄鱼队长完成签到,获得积分10
33秒前
Zengyuan完成签到,获得积分10
33秒前
研友_Lav0Qn发布了新的文献求助10
34秒前
perry4rosa完成签到,获得积分0
34秒前
量子星尘发布了新的文献求助10
35秒前
LIFE2020完成签到 ,获得积分10
35秒前
科研人完成签到,获得积分10
36秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038157
求助须知:如何正确求助?哪些是违规求助? 3575869
关于积分的说明 11373842
捐赠科研通 3305650
什么是DOI,文献DOI怎么找? 1819255
邀请新用户注册赠送积分活动 892655
科研通“疑难数据库(出版商)”最低求助积分说明 815022