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.

Product country-of-origin (COO) is now playing a central role in consumers’ purchase behavior. Previous studies have investigated several factors that impact COO. However, little attention has been paid to the impact of COO on consumers’ product evaluation on Chinese products, especially in the cross-border e-commerce context. Using a multi-methods design, this study first unearthed the antecedents of COO image towards Chinese products from the qualitative data in Study 1 by drawing on the legitimacy theory and then develops a contextual model of consumers’ product evaluation and purchase intention, integrating the role of a product with a different level of involvement. Using quantitative survey data from 252 foreign consumers, the study tests the research model in Study 2. The findings provide empirical evidence to support the model and highlight the importance of COO cues on foreign consumers’ purchase intention towards Chinese products. The results also enhance our understanding of consumers’ purchase decision in cross-border e-commerce.

Information technology-mediated interruptions have become widespread and ubiquitous in the workplace. However, our understanding of how these interruptions and individuals’ interruption processing mechanism impact individuals’ performance, especially psychological performance, is still limited. Leveraging Conservation of Resources Theory, this study focused on two types of IT-mediated information interruptions (congruent and incongruent) and examined the moderating effects of different process mechanisms on the relationship between information interruptions and individuals’ interruption overload. A multi-methods research design was conducted in this study: a qualitative study with 20 interviews in Study 1 and a quantitative study with 345 surveys in Study 2. The results show a positive indirect effect of IT-mediated information interruption on emotional exhaustion through interruption overload. Results also review the moderation effects of different processing mechanisms. The findings of this study advance the current understanding of the “dark side” of online information behavior. Additionally, this study provides practical and theoretical implications for both employers and employees on how to process IT-mediated information interruptions in the workplace.