20.500.12556/RUL-133220 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 and dark sides that may affect user participation in ridesharing. We do not know whether the juxtaposed sides of these IT artifacts influence users' cognitive appraisals, and if so, to what extent will their participative behavior 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 behavior 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. big data analytics artificial intelligence dark side bright side personal information privacy control ridesharing true false true Angleški jezik Angleški jezik Članek v reviji 2021-11-17 12:12:27 2021-11-17 12:24:32 2022-09-12 04:15:24 0000-00-00 00:00:00 2020 0 0 [in press] 2021 0000-00-00 PostprintKoncna VTisku NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2022-01-12 659.2:004 0960-085X 10.1080/0960085X.2020.1869508 78980611 RAZ_Cheng_Xusen_2020.pdf RAZ_Cheng_Xusen_2020.pdf 1 69F461A2257EEA89F9085125F9DB653F b81e8a277e9a5ebbcc1a53b265e28993398e05920ababd491a7367cc81e72a36 6250d691-4798-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151109 https://www.tandfonline.com/doi/full/10.1080/0960085X.2020.1869508 0 68a02acf-4798-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151110 Ekonomska fakulteta 0 0 0