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Run-of-the-Mill or Avant Garde? Identifying restaurant category positioning and tastemakers from digital geo-location history

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  • Banerjee, Syagnik
  • Poddar, Amit

Abstract

How mundane or exotic the taste of a cuisine is considered, often determines what kind of visitors a restaurant is likely to get. However, restaurants find it difficult to both (i) gauge such customer expectations as well as (ii) target visitors with broad or narrow palates so as to successfully position their image and design offerings. The current research utilizes digital geolocation history data from restaurant check-ins along with Item Response Theory to identify mundane and exotic cuisines, and tastemakers with broader palates. Data is used from Chicago and San Francisco to compare definitions of exotic restaurant cuisines and tastemakers (visitors). In both cities, quick serve restaurants appear most mundane, while Lebanese and Turkish cuisine emerge as more exotic. Factors that explain palate diversity vary across the two cities.

Suggested Citation

  • Banerjee, Syagnik & Poddar, Amit, 2021. "Run-of-the-Mill or Avant Garde? Identifying restaurant category positioning and tastemakers from digital geo-location history," Journal of Business Research, Elsevier, vol. 130(C), pages 436-443.
  • Handle: RePEc:eee:jbrese:v:130:y:2021:i:c:p:436-443
    DOI: 10.1016/j.jbusres.2020.01.060
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    References listed on IDEAS

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    1. van Trijp, Hans C M & Steenkamp, Jan-Benedict E M, 1992. "Consumers' Variety Seeking Tendency with Respect to Foods: Measurement and Managerial Implications," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 19(2), pages 181-195.
    2. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    3. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    4. Jang, SooCheong (Shawn) & Namkung, Young, 2009. "Perceived quality, emotions, and behavioral intentions: Application of an extended Mehrabian-Russell model to restaurants," Journal of Business Research, Elsevier, vol. 62(4), pages 451-460, April.
    5. Maydeu-Olivares, Albert & Joe, Harry, 2005. "Limited- and Full-Information Estimation and Goodness-of-Fit Testing in 2n Contingency Tables: A Unified Framework," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1009-1020, September.
    6. Albert Maydeu-Olivares & Harry Joe, 2006. "Limited Information Goodness-of-fit Testing in Multidimensional Contingency Tables," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 713-732, December.
    7. Kolar, Tomaz & Zabkar, Vesna, 2010. "A consumer-based model of authenticity: An oxymoron or the foundation of cultural heritage marketing?," Tourism Management, Elsevier, vol. 31(5), pages 652-664.
    8. Ellen Sewell, 2011. "Competition and dealership agglomeration in new car markets," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1279-1283.
    9. Koenker, Roger, 1981. "A note on studentizing a test for heteroscedasticity," Journal of Econometrics, Elsevier, vol. 17(1), pages 107-112, September.
    Full references (including those not matched with items on IDEAS)

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