{"title":"祝福还是诅咒?共享经济及其对客户和供应商社区的影响","authors":"Shuo Zeng, Yuanjie He","doi":"10.1111/deci.12587","DOIUrl":null,"url":null,"abstract":"<p>Sharing economy offers an alternative to customers with on-demand services and opens up a new way for owners of underutilized resources to generate revenue. However, there is little evidence on whether sharing economy benefits the community of customers and suppliers or not. Our work is motivated by the ongoing stories of conflicts related to the ride sharing platforms (e.g., Uber, Lyft) and the information we collected from industry practitioners. We propose an economic model that describes how a price manipulating ride sharing platform crowdsources and matches supply to demand. Furthermore, our model captures how sharing economy's manipulative power impacts the community of customers and suppliers. Sharing economy platforms allow customers to make purchase decisions after evaluating the search cost, which depends on other customers' purchase decisions and leads to endogenous demand for sharing economy services. A comprehensive theoretical analysis of such models can be extremely challenging due to the endogenous demand. However, we provide such analysis by assuming that the customers evaluate the search cost with the estimated or “exogenous” demand instead of the realized or “endogenous” demand. Moreover, we support our theoretical findings in more realistic settings by performing various numerical analyses. Our results suggest that the financial objective of sharing economy may conflict with the welfare of the affected community, which can be mitigated by government regulations that impose upper bounds on price surges. Our work helps researchers, practitioners, and public policy makers more comprehensively understand the challenges that sharing economy brings and suggests possible regulatory intervention.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 5","pages":"514-534"},"PeriodicalIF":2.8000,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blessing or curse? Sharing economy and its impact on the community of customers and suppliers\",\"authors\":\"Shuo Zeng, Yuanjie He\",\"doi\":\"10.1111/deci.12587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Sharing economy offers an alternative to customers with on-demand services and opens up a new way for owners of underutilized resources to generate revenue. However, there is little evidence on whether sharing economy benefits the community of customers and suppliers or not. Our work is motivated by the ongoing stories of conflicts related to the ride sharing platforms (e.g., Uber, Lyft) and the information we collected from industry practitioners. We propose an economic model that describes how a price manipulating ride sharing platform crowdsources and matches supply to demand. Furthermore, our model captures how sharing economy's manipulative power impacts the community of customers and suppliers. Sharing economy platforms allow customers to make purchase decisions after evaluating the search cost, which depends on other customers' purchase decisions and leads to endogenous demand for sharing economy services. A comprehensive theoretical analysis of such models can be extremely challenging due to the endogenous demand. However, we provide such analysis by assuming that the customers evaluate the search cost with the estimated or “exogenous” demand instead of the realized or “endogenous” demand. Moreover, we support our theoretical findings in more realistic settings by performing various numerical analyses. Our results suggest that the financial objective of sharing economy may conflict with the welfare of the affected community, which can be mitigated by government regulations that impose upper bounds on price surges. Our work helps researchers, practitioners, and public policy makers more comprehensively understand the challenges that sharing economy brings and suggests possible regulatory intervention.</p>\",\"PeriodicalId\":48256,\"journal\":{\"name\":\"DECISION SCIENCES\",\"volume\":\"54 5\",\"pages\":\"514-534\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2022-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DECISION SCIENCES\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/deci.12587\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DECISION SCIENCES","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/deci.12587","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Blessing or curse? Sharing economy and its impact on the community of customers and suppliers
Sharing economy offers an alternative to customers with on-demand services and opens up a new way for owners of underutilized resources to generate revenue. However, there is little evidence on whether sharing economy benefits the community of customers and suppliers or not. Our work is motivated by the ongoing stories of conflicts related to the ride sharing platforms (e.g., Uber, Lyft) and the information we collected from industry practitioners. We propose an economic model that describes how a price manipulating ride sharing platform crowdsources and matches supply to demand. Furthermore, our model captures how sharing economy's manipulative power impacts the community of customers and suppliers. Sharing economy platforms allow customers to make purchase decisions after evaluating the search cost, which depends on other customers' purchase decisions and leads to endogenous demand for sharing economy services. A comprehensive theoretical analysis of such models can be extremely challenging due to the endogenous demand. However, we provide such analysis by assuming that the customers evaluate the search cost with the estimated or “exogenous” demand instead of the realized or “endogenous” demand. Moreover, we support our theoretical findings in more realistic settings by performing various numerical analyses. Our results suggest that the financial objective of sharing economy may conflict with the welfare of the affected community, which can be mitigated by government regulations that impose upper bounds on price surges. Our work helps researchers, practitioners, and public policy makers more comprehensively understand the challenges that sharing economy brings and suggests possible regulatory intervention.
期刊介绍:
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.