Healthcare portals are gaining in popularity, connecting doctors with potential consumers of healthcare services. As online search and transaction marketplaces, they bring both sides of the market onto the same platform. Managers or platform owners seek to create value by increasing the number of users on either side of demand and supply of services. User-generated activity on Q&A forums of such sites reduces information asymmetry and indicates an increased adoption by either side. In this study, we have provided insights into understanding drivers for increased recommendations for doctors in online healthcare-services marketplace. The identification of these drivers and their directionality, interplay, and magnitude of impact are all of direct relevance to site promoters and managers as well as users. We find that the introduction of doctors’ responses has a significant causal impact on demand-side user perception of medical services offered. More importantly, our research suggests that doctors’ specialty, experience, qualifications, transparency in appointment booking, service fees, and response quality moderate the effect of doctors’ Q&A responses on user recommendations.

In the past decade, we have witnessed the growing importance of management responses to online reviews on digital platforms. In this study, we examine the impact of online management responses on business performance and their spillover effect on nearby businesses. By adopting multiple causal identification strategies to address the issue of self-selected responses, we find that the responses by a business owner play a significant role in the performance of the focal business as well as in the performance of the nearby businesses. We observe that, in general, the launch of the new management response feature benefits businesses. What is more interesting is that the benefit is not observed in a consistent manner across all businesses. Only the businesses that choose to use the management response feature observe increases in check-ins. On the other hand, the businesses that are unaware of the management response feature launch on digital platforms, or are aware but choose not to use the management response feature, tend to remain at a disadvantage. Interestingly, we also uncover that the spillover effect (externality) of online management responses on the nearby businesses crucially depends on whether the focal business and the nearby businesses are in direct competition. Furthermore, we identify conditions under which business owners are more likely to respond to consumer comments. Our findings have direct implications for both business owners and digital platforms: Digital platforms can help businesses develop the right engagement strategies by taking the online response strategies of the nearby businesses into account. The online appendix is available at https://doi.org/10.1287/isre.2017.0749 .

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Online platforms are prone to abuse and manipulations from strategic parties. For example, social media and review websites suffer from sentiment manipulations, manifested in the form of opinion spam and fake reviews. The consequence of such manipulations is the deterioration of information quality as well as loss in consumer welfare. We study one of movie studios' operation activities, sentiment manipulation, in the context of movie tweets. Using the movie release and movie studios' earning announcement dates as sources of exogenous shocks, we find that both the average Twitter sentiment and the proportion of highly positive tweets exhibit a significant drop on the movie's release day or movie studios' earnings announcement day. In addition, independent productions and low budget movies tend to experience a larger drop than major studio productions and high budget movies. To examine the effect of competition on firm manipulation, we construct a movie competition measure based on both the time and theme dimensions through topic modeling, and we find that a higher level of competition leads to a larger drop in Twitter sentiment. Overall, these observations suggest that firms might be actively managing online sentiment in a strategic manner. Our study sheds light on the reliability of sentiment analysis and contributes to our understanding of potential strategic manipulation in the operation of movie studios.

How will disclosing users’ identities affect their content-generation activities? Will this identity-disclosure policy in one section also change users’ behaviors in the other section? We answer these questions by using a natural experiment where a large corporate online community chose to disclose users’ identities in one section (the focal section) but not the other (the neighbor section). Our analyses show that in the focal section, disclosing identity increases social presence and inhibits users’ willingness to generate content, resulting in greater effort spent per content but smaller content volume. Moreover, identity disclosure in the focal section has a strong displacement effect: users generate more pieces of content but decrease their effort per content in the neighbor section, where they remain anonymous. The intensity of these effects depends on users’ pursuit of volume- and effort-based image. For the managers of online communities, disclosing users’ identity information inevitably changes their content-generation activities, and the unintended displacement effect cannot be overlooked. Practitioners can adjust these effects by changing reward systems and how users earn image from content generation. Given that many websites rely on users’ voluntary content generation, the effects of relevant policies should be comprehensively evaluated.