Frustration-Based Promotions: Field Experiments in Ride-Sharing

Author:

Cohen Maxime C.1ORCID,Fiszer Michael D.2,Kim Baek Jung3

Affiliation:

1. Desautels Faculty of Management, McGill University, Montreal QC H3A 1G5, Canada

2. Via Transportation Inc., New York, New York 10013

3. Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada

Abstract

The service industry has become increasingly competitive. One of the main drivers for increasing profits and market share is service quality. When consumers encounter a bad experience, or a frustration, they may be tempted to stop using the service. In collaboration with the ride-sharing platform Via, our goal is to understand the benefits of proactively compensating customers who have experienced a frustration. Motivated by historical data, we consider two types of frustrations: long waiting times and long travel times. We design and run three field experiments to investigate how different types of compensation affect the engagement of riders who experienced a frustration. We find that sending proactive compensation to frustrated riders (i) is profitable and boosts their engagement behavior, (ii) works well for long waiting times but not for long travel times, (iii) seems more effective than sending the same offer to nonfrustrated riders, and (iv) has an impact moderated by past usage frequency. We also observe that the best strategy is to send credit for future usage (as opposed to waiving the charge or sending an apologetic message). This paper was accepted by Vishal Gaur, operations management.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Paid Priority in Service Systems: Theory and Experiments;Manufacturing & Service Operations Management;2024-01-19

2. Policy evaluation for temporal and/or spatial dependent experiments;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-01-05

3. Sooner or Later? Promising Delivery Speed in Online Retail;Manufacturing & Service Operations Management;2024-01

4. Selecting Cover Images for Restaurant Reviews: AI vs. Wisdom of the Crowd;Manufacturing & Service Operations Management;2024-01

5. Optimizing subsidy strategies of the ride-sourcing platform under government regulation;Transportation Research Part E: Logistics and Transportation Review;2023-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3