The 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 deci...The 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.展开更多
This study investigates the innovation pathways and product pricing strategies of commercial health insurance in the era of new technologies.Drawing upon recent developments in InsurTech—including artificial intellig...This study investigates the innovation pathways and product pricing strategies of commercial health insurance in the era of new technologies.Drawing upon recent developments in InsurTech—including artificial intelligence(AI),the Internet of Things(IoT),blockchain,and big data analytics—we analyze how these technologies reshape underwriting,risk management,and actuarial pricing models.The research employs a theoretical framework rooted in information economics and applies generalized linear models(GLMs)alongside machine learning approaches to demonstrate how technologydriven data sources,such as wearable devices and real-time health monitoring,enhance pricing precision and risk stratification.Empirical illustrations highlight global cases including wellness-linked insurance programs,telemedicine-integrated policies,blockchain-enabled claims,and China’s inclusive Huiminbao schemes.Findings suggest that new technologies improve efficiency,reduce information asymmetry,and foster product innovation,while simultaneously raising challenges of data privacy,algorithmic fairness,and market sustainability.The paper concludes that successful integration of advanced technologies into health insurance requires balancing actuarial accuracy with equity considerations,robust regulatory frameworks,and consumer trust.These insights contribute to the broader discourse on how digital transformation can strengthen health insurance systems and promote public health outcomes worldwide.展开更多
The COVID-19 pandemic,as a global public health crisis,has had profound and lasting effects on the world economy and social operating models,fundamentally changing individuals',enterprises',and governments'...The COVID-19 pandemic,as a global public health crisis,has had profound and lasting effects on the world economy and social operating models,fundamentally changing individuals',enterprises',and governments'perceptions of risk and risk management paradigms.The Chinese insurance industry has experienced short-term pain due to the impact of the pandemic,but in the long term,the pandemic has served as a"catalyst"and"accelerator"for the industry's development,greatly enhancing societal awareness of risk protection and,with unprecedented strength,promoting the industry's digital revolution and supply-side structural reform.This article aims to conduct a comprehensive and systematic analysis of the macro environment,technological background,and demand changes faced by the Chinese insurance industry in the post-pandemic era,and to deeply explore the historical opportunities inherent in key areas such as health insurance,pension insurance,digital transformation,and green insurance.Additionally,this article will objectively examine the severe challenges the industry faces in the sustainability of profit models,structural mismatches in supply and demand,rebuilding trust systems,new risk management,and regulatory adaptation.Lastly,based on the above analysis,this article will propose strategic pathways and policy recommendations from three levels:national policy,industry regulation,and corporate strategy to promote the high-quality and sustainable development of the Chinese insurance industry,better serving the needs of national governance modernization and the well-being of the people.展开更多
文摘The 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.
文摘This study investigates the innovation pathways and product pricing strategies of commercial health insurance in the era of new technologies.Drawing upon recent developments in InsurTech—including artificial intelligence(AI),the Internet of Things(IoT),blockchain,and big data analytics—we analyze how these technologies reshape underwriting,risk management,and actuarial pricing models.The research employs a theoretical framework rooted in information economics and applies generalized linear models(GLMs)alongside machine learning approaches to demonstrate how technologydriven data sources,such as wearable devices and real-time health monitoring,enhance pricing precision and risk stratification.Empirical illustrations highlight global cases including wellness-linked insurance programs,telemedicine-integrated policies,blockchain-enabled claims,and China’s inclusive Huiminbao schemes.Findings suggest that new technologies improve efficiency,reduce information asymmetry,and foster product innovation,while simultaneously raising challenges of data privacy,algorithmic fairness,and market sustainability.The paper concludes that successful integration of advanced technologies into health insurance requires balancing actuarial accuracy with equity considerations,robust regulatory frameworks,and consumer trust.These insights contribute to the broader discourse on how digital transformation can strengthen health insurance systems and promote public health outcomes worldwide.
文摘The COVID-19 pandemic,as a global public health crisis,has had profound and lasting effects on the world economy and social operating models,fundamentally changing individuals',enterprises',and governments'perceptions of risk and risk management paradigms.The Chinese insurance industry has experienced short-term pain due to the impact of the pandemic,but in the long term,the pandemic has served as a"catalyst"and"accelerator"for the industry's development,greatly enhancing societal awareness of risk protection and,with unprecedented strength,promoting the industry's digital revolution and supply-side structural reform.This article aims to conduct a comprehensive and systematic analysis of the macro environment,technological background,and demand changes faced by the Chinese insurance industry in the post-pandemic era,and to deeply explore the historical opportunities inherent in key areas such as health insurance,pension insurance,digital transformation,and green insurance.Additionally,this article will objectively examine the severe challenges the industry faces in the sustainability of profit models,structural mismatches in supply and demand,rebuilding trust systems,new risk management,and regulatory adaptation.Lastly,based on the above analysis,this article will propose strategic pathways and policy recommendations from three levels:national policy,industry regulation,and corporate strategy to promote the high-quality and sustainable development of the Chinese insurance industry,better serving the needs of national governance modernization and the well-being of the people.
