We quantify the prevalence of undisclosed influencer posts on Twitter across a large set of brands based on a unique data set of over 100 million posts. We develop a novel method to detect undisclosed influencer posts and find that 96% of influencer posts are not disclosed as such. Despite...

Purpose: This research examines the individuals’ perceived usefulness and ease of use of the government’s electronic services (e-government). It also explores the effect of the social influences as well as of the facilitating conditions on the individuals’ intentions to use the...

How do social media affect the success of charitable fundraising? We use individual-level longitudinal data and experimental data from a social-media application that facilitates donations while broadcasting donors' activities to their contacts. We find that broadcasting is positively associated...

Dissatisfied customers often use social media to voice their complaints effectively, and firms strive to find solutions about how to respond to publicly visible service failure posts. We add to the emerging literature on complaint handling via social media by examining how complaining customers...

Netnography i.e. the systematic observation and analysis of online communities to generate insights for an innovation process, has been established as a method of user innovation in consumer goods industries. In this study we apply this technique for the first time in the context of a complex,...

To what extent did external events and news versus the candidates' own actions drive the 2016 election outcome? And were candidates misled if they focused on traditional market research versus the newer probabilistic polls? Based on the dynamic political will formation framework, the authors...

This paper studies the peer effect of iPhone adoptions in China. We use a unique data set of iPhone adoption records from a provincial capital city in China, in a span of over four years starting from iPhone's first introduction to mainland China. We construct a social network using six month's...

Peer influence through word-of-mouth (WOM) plays an important role in many information systems but identification of causal effects is challenging. We identify causal WOM effects in the empirical setting of game adoption in a social network for gamers by exploiting differences in individuals’...

Word-of-mouth (WOM) plays an increasingly important role today in shaping consumers' attitudes and buying behaviors. Prior work in marketing has mainly focused on the aggregate impact of WOM on product sales as well as the generation of WOM. Very little attention has been paid to the consumption...

This paper estimates a dynamic model of user behavior in a social network site using unique data on the daily login activity of a sample of members of MySpace.com. We view a social network as a stock of capital that yields a flow of utilities over time by creating interactions between the site...