Text network analysis of financial information for consumer decision-makingopen access
- Ohk K.; Kim M.; Kim K.
- Issue Date
- The Korean Physical Society
- Consumer decision-making; Financial information; Indemnity health insurance; Text mining; Text network analysis
- New Physics: Sae Mulli, v.67, no.5, pp.548 - 554
- Journal Title
- New Physics: Sae Mulli
- Start Page
- End Page
- 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.
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- 사회과학대학 > 소비자경제학과 > 1. Journal Articles
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