Optimal Pricing Strategy for Multichannel Healthcare Services

Simple item page
dc.contributor.authorWang, Wei
dc.contributor.authorShi, Xiao
dc.contributor.authorXiao, Hanyu
dc.contributor.authorZheng, Xiabing
dc.date.accessioned2020-01-04T07:22:03Z
dc.date.available2020-01-04T07:22:03Z
dc.date.issued2020-01-07
dc.description.abstractAs a combination of online and offline channel services, multichannel healthcare services currently play important roles in helping consumers solve their health problems. In this study, we establish a stylized model to investigate how healthcare service providers should price in multi-channels and when consumers should choose online service, taking misdiagnosis rate and the severity of disease problems into account. Our results show that the prices of the online channel and offline channel can increase when the misdiagnosis rate is low and minor problem inspection rate online is high. Moreover, when the diagnosis rate is high, the profit of online channel would increase, and then improve the profit of multichannel services. These findings provide insights for the theoretical research of online healthcare services and practice management on pricing strategies in multichannel healthcare services.
dc.format.extent7 pages
dc.identifier.doi10.24251/HICSS.2020.135
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/63874
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDecision Support for Smart Cities
dc.subjectconsumer strategies
dc.subjectdiversion
dc.subjectexpert service
dc.subjecthealthcare industry
dc.subjectmultichannel
dc.titleOptimal Pricing Strategy for Multichannel Healthcare Services
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0108.pdf
Size:
377.24 KB
Format:
Adobe Portable Document Format
Download

Collections

Decision Support for Smart Cities