A for Effort? Using the Crowd to Identify Moral Hazard in NYC Restaurant Hygiene Inspections

41 Pages Posted: 19 Jul 2018 Last revised: 18 Sep 2019

See all articles by Jorge Mejia

Jorge Mejia

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

Shawn Mankad

Cornell University

Anandasivam Gopal

University of Maryland - Robert H. Smith School of Business

Date Written: January 1, 2018

Abstract

From an upset stomach to a life-threatening foodborne illness, getting sick is all too common after eating in restaurants. While health inspection programs are designed to protect consumers, such inspections typically occur at wide intervals of time, allowing restaurant hygiene to remain unmonitored in the interim periods. Information provided in online reviews may be effectively used in these interim periods to gauge restaurant hygiene. In this paper, we provide evidence for how information from online reviews of restaurants can be effectively used to identify cases of hygiene violations in restaurants, even after the restaurant has been inspected and certified. We use data from restaurant hygiene inspections in New York City from the launch of an inspection program from 2010 to 2016, and combine this data with online reviews for the same set of restaurants. Using supervised machine learning techniques, we then create a hygiene dictionary specifically crafted to identify hygiene-related concerns and use it to identify systematic instances of moral hazard, wherein restaurants with positive hygiene inspection scores are seen to regress in their hygiene maintenance within 90 days of receiving the inspection scores. To the extent that social media provides some visibility into the hygiene practices of restaurants, we argue that the effects of information asymmetry that lead to moral hazard may be partially mitigated in this context. Based on our work, we also provide strategies for how cities and policy-makers may design effective restaurant inspection programs, through a combination of traditional inspections and the appropriate use of social media.

Keywords: Moral Hazard, Online Reviews, Machine Learning, Restaurants, Information Systems, Public Health

Suggested Citation

Mejia, Jorge and Mankad, Shawn and Gopal, Anandasivam, A for Effort? Using the Crowd to Identify Moral Hazard in NYC Restaurant Hygiene Inspections (January 1, 2018). Kelley School of Business Research Paper No. 18-58, Available at SSRN: https://ssrn.com/abstract=3204249 or http://dx.doi.org/10.2139/ssrn.3204249

Jorge Mejia (Contact Author)

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies ( email )

Business 670
1309 E. Tenth Street
Bloomington, IN 47401
United States

Shawn Mankad

Cornell University ( email )

Ithaca, NY 14853
United States
6072559594 (Phone)

Anandasivam Gopal

University of Maryland - Robert H. Smith School of Business ( email )

College Park, MD 20742-1815
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
100
Abstract Views
797
rank
297,807
PlumX Metrics