Insurtech in Europe: Identifying the top investment priorities for driving innovation

dc.authorid0000-0002-4791-4091
dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-3390-4597
dc.contributor.authorEti, Serkan
dc.contributor.authorDinçer, Hasan
dc.contributor.authorMeral, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorGökalp, Yaşar
dc.date.accessioned2024-02-02T08:59:07Z
dc.date.available2024-02-02T08:59:07Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Bilgisayar Programcılığı Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Sağlık Yönetimi Bölümü
dc.description.abstractThe purpose of this study is to determine the essential indicators to improve insurtech systems and select the most critical alternative to increase insurtech-based investments in European countries. A novel fuzzy decision-making model is generated by integrating entropy and additive ratio assessment (ARAS) techniques with spherical fuzzy sets. First, the indicators are weighted using spherical fuzzy entropy. Then, the alternatives are ranked using spherical fuzzy ARAS. The alternatives are also ranked with the spherical fuzzy technique for order of preference by similarity to the ideal solution methodology. The main contribution of this study is that it would help investors to take the right actions to increase the performance of insurtech investments without incurring high costs. Another important novelty is that a new fuzzy decision-making model is proposed to solve this problem. The results of the two models are quite similar, proving the validity and coherency of the findings. It is found that pricing is the most critical factor that affects the performance of insurtech investments. Insurtech companies are required to make accurate pricing by conducting risk analyses to increase their profits and minimize their risks. Additionally, according to the ranking results, big data are the most appropriate way to improve the performance of insurtech investments in Europe. Big data analytics helps companies learn more about the behavior of their customers. By analyzing data about their customers' past transactions, companies can provide more convenient services to them. This would increase customer satisfaction and enable companies to achieve long-term customer loyalty.
dc.identifier.citationEti, S., Dinçer, H., Meral, H., Yüksel, S. ve Gökalp, Y. (2024). Insurtech in Europe: Identifying the top investment priorities for driving innovation. Financial Innovation, 10(1). https://dx.doi.org/10.1186/s40854-023-00541-y
dc.identifier.doi10.1186/s40854-023-00541-y
dc.identifier.issn2199-4730
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85182699312
dc.identifier.scopusqualityQ1
dc.identifier.uri10.1186/s40854-023-00541-y
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12241
dc.identifier.volume10
dc.identifier.wos001145602700001en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorEti, Serkan
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorGökalp, Yaşar
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofFinancial Innovationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectInsurtech
dc.subjectFinancial Innovation
dc.subjectHealth Insurance
dc.subjectPricing
dc.titleInsurtech in Europe: Identifying the top investment priorities for driving innovation
dc.typeArticle

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