Retailers are increasingly utilizing location-based services via mobile devices to enhance customer engagement. Unlike other 'new media' promotional vehicles such as online coupons or even mobile coupons, customers can utilize these location-based services by "checking in" to retail venues to obtain price discounts and to connect socially with others. Retailers need to understand the factors that drive customer engagement on location-based services. In this paper we analyze a unique dataset of restaurants in New York City. We develop a two stage empirical model to analyze both the spatial and temporal aspects of the location-based customer engagement (checkins) at Foursquare, and seek answers to questions like how could business characteristics, geographic proximity and demographic similarity together affect customer engagement. We find that customer engagement exhibits spatial interdependency that persists over time. We observe a spatial phenomenon that suggests that restaurants near locations that facilitate social interactions (such as universities and subway stations) benefit more, and we label it as 'social congregation' effect. Moreover, our time-series analysis shows that after controlling for demographic similarities, spatial correlation dissipates with distance, indicating a strong agglomeration effect in the restaurant industry.
|Published - 2013
|23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013 - Milan, Italy
Duration: Dec 14 2013 → Dec 15 2013
|23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013
|12/14/13 → 12/15/13
All Science Journal Classification (ASJC) codes
- Information Systems