Text network analysis of financial information for consumer decision-making
DC Field | Value | Language |
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dc.contributor.author | Ohk, Kyungyoung | - |
dc.contributor.author | Kim, Miyea | - |
dc.contributor.author | Kim, Kayeong | - |
dc.date.available | 2021-02-22T11:14:57Z | - |
dc.date.issued | 2017-05 | - |
dc.identifier.issn | 0374-4914 | - |
dc.identifier.issn | 2289-0041 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/8540 | - |
dc.description.abstract | Recently, insufficient information has led to consumer health-insurance duplication. This study determines which financial information is essential to consumer decision-making. Consumers' health- insurance consultations were analyzed in three stages of decision-making (pre-enrollment, enroll- ment, and post-enrollment) through text mining and text network analysis. Higher frequency words were identified for each of the three stages. For example, these included inquiry and fee-for- service health at pre-enrollment; indemnity health insurance and insurance agent at the time of enrollment; and claim, compensation, and benefits after enrollment. Also, centrality of the text network analysis identified the terms that were located centrally on a graph in each of the three stages. Results confirmed that different information is required for each decision-making stages. | - |
dc.format.extent | 7 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | The Korean Physical Society | - |
dc.title | Text network analysis of financial information for consumer decision-making | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.3938/NPSM.67.548 | - |
dc.identifier.scopusid | 2-s2.0-85019979820 | - |
dc.identifier.bibliographicCitation | New Physics: Sae Mulli, v.67, no.5, pp 548 - 554 | - |
dc.citation.title | New Physics: Sae Mulli | - |
dc.citation.volume | 67 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 548 | - |
dc.citation.endPage | 554 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002228369 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Consumer decision-making | - |
dc.subject.keywordAuthor | Financial information | - |
dc.subject.keywordAuthor | Indemnity health insurance | - |
dc.subject.keywordAuthor | Text mining | - |
dc.subject.keywordAuthor | Text network analysis | - |
dc.identifier.url | https://www.npsm-kps.org/journal/view.html?volume=67&number=5&spage=548&year=2017 | - |
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