Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/72476
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dc.contributor.authorFeng Yueen_US
dc.contributor.authorManissaward Jintapitaken_US
dc.date.accessioned2022-05-27T08:26:00Z-
dc.date.available2022-05-27T08:26:00Z-
dc.date.issued2022-01-01en_US
dc.identifier.other2-s2.0-85127559341en_US
dc.identifier.other10.1109/ECTIDAMTNCON53731.2022.9720340en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127559341&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/72476-
dc.description.abstractThe aesthetic medicine industry has developed rapidly in China in recent years. The number of plastic surgery hospitals in China also increases year by year. It has also led to fierce competition between different plastic surgery hospitals. To acquire new customers and maintain a good relationship with customers has become very urgent. In this study, Multi Business Models have been used to analyze a surgery plastic hospital. Based on this theory, this hospital was analyzed from seven dimensions. They are Value Proposition, Customers and Users, Value chain function, Competencies, Network, Value Formula, Relations. This study has used the interview for the qualitative research. From the consultation with the expert, the conclusion is that this hospital ignores the vast market share of males in the aesthetic medicine industry. At the same time, this hospital lacks social media to contact customers. Therefore, this study provides suggestions for this hospital and other plastic surgery hospitals in China. That is paying more attention to male customers in the plastic surgery market as well as the use of social media.en_US
dc.subjectArts and Humanitiesen_US
dc.subjectComputer Scienceen_US
dc.subjectDecision Sciencesen_US
dc.subjectEngineeringen_US
dc.titleImproving the Customer Acquisition Ability for a Plastic Surgery Hospital by Multi Business Model Analysisen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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