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.

One of the key elements that an electronic retailer (e-tailer) relies on for converting website visitors to buyers is information quality management. Previous studies recognized that information quality is a significant predictor of the online consumers' trust, satisfaction with the goods offered by the e-tailer, and most importantly, purchase intention. However, the extant research has largely ignored the possibly contingent effects of information quality on consumer's purchasing intention. By integrating theories and prior research findings from the marketing and e-commerce field, this article validates the direct effect of information quality on consumer's purchasing intention. More importantly, the authors propose that an e-tailer's market-oriented image (perceived market orientation) and consumer's shopping value would have a moderating role on the relationship between information quality and purchasing intention. A survey was conducted to collect data to test the proposed research model. The results generally support the authors' hypotheses. The practical and theoretical contributions of the study are discussed.

Despite many attempts to introduce computerization in the healthcare industry, the majority of the current healthcare information systems still fail to meet the rising expectations of patients for service. This study aims to understand how agility and innovation capabilities can be strategically nurtured, developed, and managed to upgrade the quality of healthcare services. Based on a case study, a process model is developed to explain that an agile innovation strategy is a complex helix process involving a firm's sensitivity and responsiveness to integrating and reconfiguring its resources to cope with innovative change. Three key managerial contributions for IT and medical practitioners are presented.