Representative online customer reviews are critical to the effective functioning of the Internet economy. In this study, I investigate the representativeness of online review distributions to examine how extremity bias and conformity impact it, and explore whether online review solicitations...

In the digital society, the availability of information is both a blessing and a curse. Particularly on social media, the question of how information spreads is mostly engulfed in the commercial interests of platforms who rely on algorithmic governance in managing information flows, and the...

This study aims to extend expectation-confirmation model (ECM) of IS continuance based on effort-accuracy model (EAM) for predicting and explaining continuous usage of online product recommendation (OPR) that has been ignored in prior literature. The proposed OPR continuance model, incorporating...

Purpose of the article: This article aims to identify the perception of customers in the shared economy, specifically their customer experience with Uber, Bolt and Airbnb, and then evaluate what these companies stand out for or what their deficiencies are, and formulate recommendations for them....

Using the passage of Global Settlement as an exogenous shock, we show that disclosure requirements about analysts' recommendation distributions incentivize analysts to manage their recommendation distributions to reduce concerns about perceived objectivity. Following the regulation, analysts...

Do personalized offerings enabled by big data only bring economic benefits to firms but not to consumers? In this paper, we seek to address this question by examining a particular category of personalized offerings provided by algorithmic product recommendation systems. While the economic value...