Replication Data for \"Privacy Signals: Exploring the Relationship Between Cookies and Online Purchase Intention\" published by RAC - Revista de Administração Contemporânea

The data is from the article \"Privacy Signals: Exploring the Relationship Between Cookies and Online Purchase Intention\" and shows consumer perceptions of website transparency about cookie requests in the e-commerce environment. Overall, we used a quantitative methodology, through a descriptive study and four experimental studies. The results studies show that cookie acceptance positively influences the intention to purchase, only when the consumer accepts cookie collection and when they have a need for the product, resulting in greater perception of benefits associated with information disclosure. Risks did not show significance in this process. However, providing more information to consumers about data collection is advantageous because the intention to purchase is higher, even for those who do not accept cookies. The data for the experiments were collected using Qualtrics software and online, using Facebook, through sponsored ads to ensure the randomness of responses. The products used in the experiment scenarios were chosen because of the pandemic context, where the consumption of products used in the home increased, to the detriment of superfluous or luxury products. The samples of the experiments respected the minimum criteria of 30 people in each experiment condition, as suggested by Hair et al. (2009). Statistical analyses were done through IBM SPSS Statistics statistical software using the Procces macro, which is an extension created for SPSS for multivariate data analysis and mediation analysis, as well as integrated conditional process models (Hayes, 2018). Finally, we also used General Linear Model (GLM) in the analyses, as it is an extension of the linear regression model and indicated in cases of probability distributions other than the normal distribution, which makes it more flexible to handle the data (Hair et al. 2009).本数据集来自论文《Privacy Signals: Exploring the Relationship Between Cookies and Online Purchase Intention》，其内容聚焦电商环境下消费者对网站Cookie（Cookie）请求透明度的认知情况。本研究采用定量研究范式，包含一项描述性研究与四项实验研究。研究结果表明，仅当消费者同意Cookie收集且存在对应产品的购买需求时，Cookie接受度才会对购买意向产生正向影响，此时消费者对信息披露相关收益的感知会显著提升。而风险感知在该作用路径中未体现出统计学显著性。不过，向消费者提供更多数据收集相关的信息仍具备积极价值：即便对于拒绝Cookie的用户，其购买意向也会有所升高。实验数据通过Qualtrics软件在线采集，并依托Facebook的赞助广告进行招募，以确保问卷回复的随机性。实验场景选用的产品均结合疫情背景：疫情期间家用产品消费量显著上升，而轻奢或非必要冗余消费品的需求则受到抑制。各实验分组的样本量均遵循Hair等人（2009）提出的标准，每组至少包含30名参与者。统计分析采用IBM SPSS Statistics统计软件，并结合其官方扩展工具Procces宏：该工具专为SPSS开发，可用于多变量数据分析、中介效应分析以及集成条件过程模型的构建（Hayes, 2018）。此外，本研究还使用了广义线性模型（General Linear Model, GLM）开展分析：作为线性回归模型的扩展形式，广义线性模型适用于非正态分布的概率分布场景，能够更灵活地处理各类数据（Hair et al. 2009）。