Alphanumeric vs. Numeric Token Systems and the Healthcare Experience: Field Evidence from Healthcare Delivery in India

Author:

Rathee Shelly1ORCID,Narula Kritika2,Mishra Arul3,Mishra Himanshu3ORCID

Affiliation:

1. Department of Marketing, Villanova School of Business, Villanova University, Villanova, Pennsylvania 19085;

2. Analysis Group, Boston, Massachusetts 02199;

3. Department of Marketing, David Eccles School of Business, University of Utah, Salt Lake City, Utah 84322

Abstract

Long wait times for patients are an important health policy issue in many countries, especially developing countries in which there is generally poorer health infrastructure, appointments are not very common, and the opportunity cost of competing life priorities is high. In this research, we examine via field experiments in health clinics in India whether providing numeric versus alphanumeric wait tokens can affect pain perceptions of patients and whether the type of tokens can also affect their wait-time perception and visit satisfaction. Our research provides initial evidence that alphanumeric tokens, in most cases, lead to lower pain perception, lower wait-time perception, and higher satisfaction levels with the healthcare system compared with numeric tokens. However, this is not always true; we also demonstrate boundary conditions when numeric tokens perform better and when the differences between tokens are attenuated. We conducted field experiments in three separate clinics and vary the type of tokens (numeric versus alphanumeric) used to test multiple token operationalizations in varied healthcare contexts. We explain our findings using the cognitive strategy of wait-time perception and discuss why this strategy is helpful for a developing country. This paper was accepted by Matthew Shum, marketing. Supplemental Material: The web appendices are available at https://doi.org/10.1287/mnsc.2022.4389 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

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