Optimal Promises: Application of a General Framework to Airline Schedule Times

43 Pages Posted: 15 Jun 2020 Last revised: 6 May 2022

See all articles by Jeffrey Prince

Jeffrey Prince

Kelley School of Business, Indiana University

Daniel H. Simon

Indiana University Bloomington - O'Neill School of Public and Environmental Affairs

Date Written: May 20, 2020

Abstract

Sellers in a wide range of industries frequently make promises about service performance (product quality) that can only be assessed after purchase. Making such a promise creates a tradeoff: A better promise (1) increases demand today, but (2) reduces the likelihood of achieving the promised performance, which reduces future demand. In this paper, we present a simple model of optimal promised performance. Using this model, we illustrate how changes in market conditions lead to changes in promised performance via their impact on one or both components of the aforementioned promise tradeoff. Lastly, we demonstrate proof of concept by applying the model to airline schedule times and their observed changes associated with market conditions, including: the availability of on-time performance data, competition, and prevalence of connecting passengers.

Keywords: Airlines, promise, performance, quality, schedule time, demand, on-time performance, expectations

JEL Classification: L15, L93, D22

Suggested Citation

Prince, Jeffrey and Simon, Daniel H., Optimal Promises: Application of a General Framework to Airline Schedule Times (May 20, 2020). Available at SSRN: https://ssrn.com/abstract=3606230 or http://dx.doi.org/10.2139/ssrn.3606230

Jeffrey Prince (Contact Author)

Kelley School of Business, Indiana University ( email )

1309 E. Tenth Street
Kelley School of Business
Bloomington, IN 47405
United States
8128562692 (Phone)
47405 (Fax)

HOME PAGE: http://https://kelley.iu.edu/jeffprin/

Daniel H. Simon

Indiana University Bloomington - O'Neill School of Public and Environmental Affairs ( email )

1315 East Tenth Street
Bloomington, IN 47405
United States

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