Sizzle or Fizzle? Supply and Consumption Dynamics of Home-Cooked Food on Sharing Platform

Author:

Li Shaobo (Kevin)1,Wang Le2,Huang Jianxiong3ORCID,Gopal Ram4,Lin Zhijie5

Affiliation:

1. Business School, Southern University of Science and Technology, Shenzhen, China

2. College of Business, City University of Hong Kong, Hong Kong

3. Department of Electronic Business, South China University of Technology, Guangzhou, China

4. Warwick Business School, University of Warwick, Coventry, West Midlands, UK

5. School of Economics and Management, Tsinghua University, Beijing, China

Abstract

To address the growing obesity crisis, governments are promoting home cooking to improve dietary habits. Home-cooked food-sharing platforms, a manifestation of the sharing economy, offer consumers healthy food options. While the economic benefits of the sharing economy have been extensively studied, little is known about its impact on non-economic factors, such as consumers’ health. To address this gap, we conduct an empirical study using data from a mobile kitchen-sharing platform and four controlled experiments to investigate whether the sharing economy helps consumers develop healthy eating habits. We use manual coding and machine learning methods to evaluate the healthiness of over 180,000 unique dishes and examine food provision and consumption on the platform. Our findings indicate that as consumers use the platform more frequently, they tend to consume more unhealthy food. Additionally, sellers who receive more orders and earn more revenue tend to offer less healthy food over time. Two controlled experiments prove consumers are more likely to order unhealthy food online. Furthermore, these experiments provide causal evidence that consumer food consumption patterns drive seller food provision rather than vice versa. Our results suggest that the sharing economy may have negative consequences due to misaligned interests between sellers and consumers. Fortunately, we identify conditions that may mitigate these effects in empirical analyses and two experiments. Specifically, consumers who choose dine-in options (as opposed to takeaway) and those who order for groups (as opposed to individual orders) tend to make healthier food choices on the platform due to impression management motivation.

Funder

National Natural Science Foundation of China

City University of Hong Kong

Publisher

SAGE Publications

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