TY - CONF
T1 - Checking in to check it out
T2 - 23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013
AU - Wang, Lei
AU - Gopal, Ram
AU - Sankaranarayanan, Ramesh
AU - Pancras, Joseph
N1 - Funding Information:
This study presents independent research (part) funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. C.E.W. is funded through European Union's Seventh Framework Programme via Marie Curie Action, co-financed by the Junta de Andalucia and the European Commission under Talentia Postdocgrant agreement number 267226.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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M3 - Paper
AN - SCOPUS:84907397977
Y2 - 14 December 2013 through 15 December 2013
ER -