{"id":{"repo_id":"vilnius","oai_identifier":"oai:vu.lt:elaba:210637525"},"canonical_url":"https://search.dev.ndltd.org/etd/vilnius/oai:vu.lt:elaba:210637525","repository":{"repo_id":"vilnius","name":"Vilnius University","base_url":"https://epublications.vu.lt/oai"},"display":{"title":"Rizikos valdymo metodų veiksmingumo mažinant žalas Lietuvos gyvybės draudimo sektoriuje tyrimas /","abstract":"The aim of this work was to determine the effectiveness of risk management methods in reducing losses in the life insurance sector. This work consists of three parts: analysis of scientific literature, description of research methodology, data analysis and review of results. The first part involved an analysis of scientific literature on risk management in the life insurance sector. Based on various authors, the definitions of the following concepts were presented for this study: life insurance sector, risk management, loss. The second part provides an overview of the research methodology: 8 hypotheses were formulated, a mixed research method was chosen: qualitative data collection method (documentary research and interviews), qualitative data analysis (analysis of content of documents and interview transcripts, categorization), and quantitative data analysis (use of statistical tests, conversion of qualitative data into quantitative). The third part describes the data collected on the sizes of losses incurred by organizations in 2023, qualitative data analysis is performed during which the information obtained from documents and interview transcripts is categorized, describing how organizations use risk management methods, and quantitative data analysis is performed during which the effectiveness of the risk management methods in reducing losses is determined by applying statistical tests. In total, 2 out of 7 companies agreed to participate in the interviews, therefore, during the analysis, it was decided that for companies whose experts did not provide their opinions, the data obtained from documents would be used for further analysis. Thus, it was found that all companies using at least one of these methods: big data analytics, artificial intelligence, financial incentives for clients, health education for clients - on average, encounter lower levels of losses. However, when examining the effectiveness of each risk management method in reducing losses in the Lithuanian life insurance sector, statistically insignificant differences were found between groups. Due to the statistically insignificant differences obtained and the lack of experts, it is further recommended to conduct a broader study involving more organizations, all of which would participate in interviews or conduct experimental research, in order to more accurately assess the impact of each method on the size of losses.","abstract_html":"The aim of this work was to determine the effectiveness of risk management methods in reducing losses in the life insurance sector. This work consists of three parts: analysis of scientific literature, description of research methodology, data analysis and review of results. The first part involved an analysis of scientific literature on risk management in the life insurance sector. Based on various authors, the definitions of the following concepts were presented for this study: life insurance sector, risk management, loss. The second part provides an overview of the research methodology: 8 hypotheses were formulated, a mixed research method was chosen: qualitative data collection method (documentary research and interviews), qualitative data analysis (analysis of content of documents and interview transcripts, categorization), and quantitative data analysis (use of statistical tests, conversion of qualitative data into quantitative). The third part describes the data collected on the sizes of losses incurred by organizations in 2023, qualitative data analysis is performed during which the information obtained from documents and interview transcripts is categorized, describing how organizations use risk management methods, and quantitative data analysis is performed during which the effectiveness of the risk management methods in reducing losses is determined by applying statistical tests. In total, 2 out of 7 companies agreed to participate in the interviews, therefore, during the analysis, it was decided that for companies whose experts did not provide their opinions, the data obtained from documents would be used for further analysis. Thus, it was found that all companies using at least one of these methods: big data analytics, artificial intelligence, financial incentives for clients, health education for clients - on average, encounter lower levels of losses. However, when examining the effectiveness of each risk management method in reducing losses in the Lithuanian life insurance sector, statistically insignificant differences were found between groups. Due to the statistically insignificant differences obtained and the lack of experts, it is further recommended to conduct a broader study involving more organizations, all of which would participate in interviews or conduct experimental research, in order to more accurately assess the impact of each method on the size of losses.","abstract_has_math":false,"creators":["Rukšėnaitė, Karilė,"],"institution":"Institutional Repository of Vilnius University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024","date_published":"2024","updated_at":"2026-07-24T05:55:52Z","subjects":[],"languages":["lit"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://repository.vu.lt/VU:ELABAETD210637525&prefLang=en_US","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Rukšėnaitė, Karilė,"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024"]},{"key":"dc:publisher","label":"Institution","values":["Institutional Repository of Vilnius University"]},{"key":"dc:relation","label":"Dc Relation","values":["https://epublications.vu.lt/object/elaba:210637525/210637525.pdf"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/bachelorThesis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["lit"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://repository.vu.lt/VU:ELABAETD210637525&prefLang=en_US"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The aim of this work was to determine the effectiveness of risk management methods in reducing losses in the life insurance sector. This work consists of three parts: analysis of scientific literature, description of research methodology, data analysis and review of results. The first part involved an analysis of scientific literature on risk management in the life insurance sector. Based on various authors, the definitions of the following concepts were presented for this study: life insurance sector, risk management, loss. The second part provides an overview of the research methodology: 8 hypotheses were formulated, a mixed research method was chosen: qualitative data collection method (documentary research and interviews), qualitative data analysis (analysis of content of documents and interview transcripts, categorization), and quantitative data analysis (use of statistical tests, conversion of qualitative data into quantitative). The third part describes the data collected on the sizes of losses incurred by organizations in 2023, qualitative data analysis is performed during which the information obtained from documents and interview transcripts is categorized, describing how organizations use risk management methods, and quantitative data analysis is performed during which the effectiveness of the risk management methods in reducing losses is determined by applying statistical tests. In total, 2 out of 7 companies agreed to participate in the interviews, therefore, during the analysis, it was decided that for companies whose experts did not provide their opinions, the data obtained from documents would be used for further analysis. Thus, it was found that all companies using at least one of these methods: big data analytics, artificial intelligence, financial incentives for clients, health education for clients - on average, encounter lower levels of losses. However, when examining the effectiveness of each risk management method in reducing losses in the Lithuanian life insurance sector, statistically insignificant differences were found between groups. Due to the statistically insignificant differences obtained and the lack of experts, it is further recommended to conduct a broader study involving more organizations, all of which would participate in interviews or conduct experimental research, in order to more accurately assess the impact of each method on the size of losses."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Rizikos valdymo metodų veiksmingumo mažinant žalas Lietuvos gyvybės draudimo sektoriuje tyrimas /","A study of the effectiveness of risk management methods in reducing claims in the life insurance sector of lithuania."]}]}],"canonical_facts":{"dc:creator":["Rukšėnaitė, Karilė,"],"dc:date":["2024"],"dc:description":["The aim of this work was to determine the effectiveness of risk management methods in reducing losses in the life insurance sector. This work consists of three parts: analysis of scientific literature, description of research methodology, data analysis and review of results. The first part involved an analysis of scientific literature on risk management in the life insurance sector. Based on various authors, the definitions of the following concepts were presented for this study: life insurance sector, risk management, loss. The second part provides an overview of the research methodology: 8 hypotheses were formulated, a mixed research method was chosen: qualitative data collection method (documentary research and interviews), qualitative data analysis (analysis of content of documents and interview transcripts, categorization), and quantitative data analysis (use of statistical tests, conversion of qualitative data into quantitative). The third part describes the data collected on the sizes of losses incurred by organizations in 2023, qualitative data analysis is performed during which the information obtained from documents and interview transcripts is categorized, describing how organizations use risk management methods, and quantitative data analysis is performed during which the effectiveness of the risk management methods in reducing losses is determined by applying statistical tests. In total, 2 out of 7 companies agreed to participate in the interviews, therefore, during the analysis, it was decided that for companies whose experts did not provide their opinions, the data obtained from documents would be used for further analysis. Thus, it was found that all companies using at least one of these methods: big data analytics, artificial intelligence, financial incentives for clients, health education for clients - on average, encounter lower levels of losses. However, when examining the effectiveness of each risk management method in reducing losses in the Lithuanian life insurance sector, statistically insignificant differences were found between groups. Due to the statistically insignificant differences obtained and the lack of experts, it is further recommended to conduct a broader study involving more organizations, all of which would participate in interviews or conduct experimental research, in order to more accurately assess the impact of each method on the size of losses."],"dc:format":["application/pdf"],"dc:identifier":["https://repository.vu.lt/VU:ELABAETD210637525&prefLang=en_US"],"dc:language":["lit"],"dc:publisher":["Institutional Repository of Vilnius University"],"dc:relation":["https://epublications.vu.lt/object/elaba:210637525/210637525.pdf"],"dc:rights":["info:eu-repo/semantics/openAccess"],"dc:title":["Rizikos valdymo metodų veiksmingumo mažinant žalas Lietuvos gyvybės draudimo sektoriuje tyrimas /","A study of the effectiveness of risk management methods in reducing claims in the life insurance sector of lithuania."],"dc:type":["info:eu-repo/semantics/bachelorThesis"]},"updated_at":"2026-07-24T05:55:52Z"}