The good, the bad, and the ugly: impact of analytics and artificial intelligence-enabled personal information collection on privacy and participation in ridesharing
The good, the bad, and the ugly: impact of analytics and artificial intelligence-enabled personal information collection on privacy and participation in ridesharing
复制标题
好的、坏的和丑陋的：分析和人工智能支持的个人信息收集对隐私和参与乘车共享的影响
DOI：
10.1080/0960085x.2020.1869508
复制
发表时间：
2021-01-10
影响因子：
9.5
通讯作者：
Cai, Shun
中科院分区：
文献类型：
--
作者：
Cheng, Xusen;Su, Linlin;Cai, Shun
大数据分析（BDA）和人工智能（AI）可能会提供光明和黑暗的一面，这可能会影响用户对拼车的参与。我们不知道这些IT人工制品的并列方面是否会影响用户的认知评价，如果是的话，他们的参与行为会受到多大程度的影响。本文通过揭示BDA和AI的黑暗面和光明面之间的相互作用以及对拼车用户行为的认知评估的潜在机制，为IS研究做出了贡献。我们使用混合方法进行了两个阶段的研究。在第一项研究中，我们进行了21个半结构化的访谈，以发展研究模型。第二项研究使用332名乘客的调查数据实证验证了研究模型。我们发现，BDA和AI在拼车平台上的使用有光明的一面（有用，“好”），也有黑暗的一面（不确定性和侵犯隐私，“坏和丑陋”）。光明的一面会产生感知的好处，而黑暗的一面会塑造用户感知的风险，这会从使用拼车平台的好处中扣除风险。隐私控制对感知利益产生积极影响，以鼓励个人使用拼车平台。
Big data analytics (BDA) and artificial intelligence (AI) may provide both bright and dark sides that may affect user participation in ridesharing. We do not know whether the juxtaposed sides of these IT artefacts influence users' cognitive appraisals, and if so, to what extent will their participative behaviour be affected. This paper contributes to the IS research by uncovering the interplay between the dark and bright sides of BDA and AI and the underlying mechanisms of cognitive appraisals for user behaviour in ridesharing. We performed two phases of the study using mixed-methods. In the first study, we conduct 21 semi-structured interviews to develop the research model. The second study empirically validated the research model using survey data of 332 passengers. We find that the usage of BDA and AI on ridesharing platforms have a bright side (usefulness, "the good") but also a dark side (uncertainty and invasion of privacy, "the bad and the ugly"). The bright side generates perceived benefits, and the dark side shape perceived risks in users, which discount the risks from the benefits of using the ridesharing platform. Privacy control exerts a positive effect on the perceived benefits to encourage individuals to use the ridesharing platform.