消费者信息隐私:现状与研究方向

IF 0.5 Q4 BUSINESS Foundations and Trends in Marketing Pub Date : 2018-07-15 DOI:10.1561/1700000057
F. T. Beke, Felix Eggers, P. Verhoef
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引用次数: 37

摘要

在当今信息化和大数据时代,消费者信息隐私已经成为营销中的一个重要问题。除了担心越来越多的个人信息收集、存储和使用外,消费者还担心对个人数据缺乏透明度或控制。尽管有这些日益增长的担忧,但对公司€™隐私做法如何影响消费者的理解仍然有限。我们从市场营销的角度回顾了有关消费者隐私的相关文献,并总结了当前关于信息收集、信息存储、信息使用、透明度和控制如何影响消费者€™行为的知识。此外,我们还讨论了企业€™隐私实践的影响在企业、消费者和环境之间的差异程度。在此基础上,我们提出了几个假设,旨在为未来关于消费者信息隐私在营销中的作用的研究提供方向。
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Consumer Informational Privacy: Current Knowledge and Research Directions
In the current age of information and big data, consumer informational privacy has become an important issue in marketing. Besides being worried about the growing collection, storage, and use of personal information, consumers are anxious about a lack of transparency or control over their personal data. Despite these growing concerns, understanding of how firms’ privacy practices affect consumers remains limited. We review the relevant literature on consumer privacy from a marketing perspective and summarize current knowledge about how information collection, information storage, information use, transparency, and control influence consumers’ behavior. In addition, we discuss to what extent the influence of firms’ privacy practices differs between firms, consumers, and environments. On the basis of this knowledge, we formulate several hypotheses aimed at providing direction for future research regarding the role of consumer informational privacy in marketing.
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来源期刊
CiteScore
3.40
自引率
30.00%
发文量
8
期刊介绍: Foundations and Trends® in Marketing will publish survey and tutorial articles on the following topics: -B2B Marketing- Bayesian Models- Behavioral Decision Making- Branding and Brand Equity- Channel Management- Choice Modeling- Comparative Market Structure- Competitive Marketing Strategy- Conjoint Analysis- Customer Equity- Customer Relationship Management- Game Theoretic Models- Group Choice and Negotiation- Discrete Choice Models- Individual Decision Making- Marketing Decisions Models- Market Forecasting- Marketing Information Systems- Market Response Models- Market Segmentation- Market Share Analysis- Multi-channel Marketing- New Product Diffusion- Pricing Models- Product Development- Product Innovation- Sales Forecasting- Sales Force Management- Sales Promotion- Services Marketing- Stochastic Model.
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