Online information privacy and price: A theoretical model and empirical tests

被引:7
|
作者
Wu, Zhiyan [1 ]
Luo, Jifeng [2 ]
机构
[1] Shanghai Univ Int Business & Econ, Management Sch, 1900 Wenxiang Rd, Shanghai 201620, Peoples R China
[2] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, 1954 Huashan Rd, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金;
关键词
Information privacy; Online retailing; Price; Privacy assurance seals; Asymmetric information; PURCHASING BEHAVIOR; CONSUMER PRIVACY; BUILDING TRUST; INTERNET; DISPERSION; COMPETITION; PARADOX; SEARCH; IMPACT; MARKET;
D O I
10.1016/j.im.2021.103583
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Information privacy has become an increasingly critical concern for many individuals, especially in the context of the increased collection, analysis, and visualization of personal information. Despite the importance of privacy in online transactions, most studies investigated the effects of privacy concerns on stated intentions. This study theoretically analyzes and empirically evaluates the link between privacy and price. In the proposed model, consumers are differentiated not only by their preferences for privacy but also by search costs. For simplicity, stores in the proposed model differ in terms of the price charged and the privacy protection level offered. As derived from the theoretical model and empirical validation, better privacy protection does not necessarily lead to the highest price, though it does allow stores to charge a premium price. Moreover, the price premium is higher if more consumers remain uninformed, indicating that uninformed consumers exert negative impacts on informed consumers.
引用
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页数:15
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