The good, the bad, and the ugly: impact of analytics and artificial intelligence-enabled personal information collection on privacy and participation in ridesharing

Big data analytics (BDA) and artificial intelligence (AI) may provide both bright dark sides that affect user participation in ridesharing. We do not know whether the juxtaposed of these IT artefacts influence users’ cognitive appraisals, if so, to what extent will their participative behaviour be affected. This paper contributes IS research by uncovering interplay between BDA AI underlying mechanisms appraisals for performed two phases study using mixed-methods. In first study, we conduct 21 semi-structured interviews develop model. The second empirically validated model survey 332 passengers. find usage on ridesharing platforms have a side (usefulness, “the good”) but also (uncertainty invasion privacy, bad ugly”). generates perceived benefits, shape risks users, which discount from benefits platform. Privacy control exerts positive effect encourage individuals use