Learning from Your Friends’ Check-Ins: An Empirical Study of Location-Based Social Networks

Liangfei Qiu, Zhan (Michael) Shi () and Andrew B. Whinston ()
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Zhan (Michael) Shi: W. P. Carey School of Business, Arizona State University, Tempe, Arizona 85287
Andrew B. Whinston: McCombs School of Business, University of Texas at Austin, Austin, Texas 78705

Information Systems Research, 2018, vol. 29, issue 4, 1044-1061

Abstract: Recently, mobile applications have offered users the option to share their location information with friends. Using data from a major location-based social networking application in China, we estimate an empirical model of restaurant discovery and observational learning. The unique feature of repeat customer visits in the data allows us to examine observational learning in trials and repeats and to separate it from non-informational confounding mechanisms, such as homophily, using a novel test based on the empirical model. The empirical evidence supports a strong observational learning effect. We also find that the moderating role of the geographical locations of users and their friends on the magnitude of observational learning is critical. These findings suggest a nuanced view for local merchants to boost observational learning with the advancement of location-based technology.

Keywords: observational learning; location-based service; social networks; homophily; social ties (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (11)

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