Traces of mobility: Examining location disclosure on social networks with mobile location tagging Abstract   The prevailing adoption of mobile devices has facilitated individualsxe2x80x99 engagement with location tagging; thus, locationbased information sharing, which allows geolocation specificity and interaction on the Internet platforms, has become a popular activity in the space of social media. This spatiotemporal information provides a great potential opportunity for marketers as photos or videos shared among friends on social networking sites can be viewed as a type of wordofmouth that may increase brand awareness and attract more users. Thus, understanding the underlying factors driving location tagging intentions provides significant value for practitioners. However, despite its importance, our understanding of this topic is limited. This research draws from social exchange theory and the theory of impression management to exemplify the underlying factors driving individuals to engage in photo or video sharing with location tagging on social media. Using an online survey, we recruited 402 users. We find that location tagging intention is driven by a facilitating route involving social benefits and functional benefits and an impeding route involving perceived risk related to privacy concerns. Our findings provide important academic and managerial implications.

On the role of informational privacy in connected vehicles: A privacyaware acceptance modelling approach for connected vehicular services Abstract   Modern cars are becoming increasingly connected. While connectivity enhances the carxe2x80x99s functional portfolio, it fosters the relevance of information privacy in the private vehicle. This research paper sets out to elucidate the role of data disclosure in the acceptance of connected services in the car. Based on Davisxe2x80x99 Technology Acceptance Model, we postulate an acceptance model which accounts for informational privacy in the connected car. In a highfidelity driving simulator study, 116 participants interacted with a connected parking service and subsequently responded to an acceptance questionnaire. Structural equation modelling revealed a significant influence of privacyrelated factors on attitude towards using the system, which in turn directly influences usage intention. The results underscore the relevance of informational privacy for the acceptance of connected vehicular services.