DIGITAL TRANSFORMATION AND THE USE OF ARTIFICIAL INTELLIGENCE IN SOCIAL INSURANCE AND INSURANCE DOI Creative Commons

Elizaveta Pletneva,

D. M. Zagorska

Social Economics, Journal Year: 2024, Volume and Issue: 67, P. 146 - 155

Published: June 30, 2024

The goal of writing this article is to explore the impact artificial intelligence on enhancing efficiency and ensuring competitiveness insurance companies, as well uncover opportunities advantages, downsides, challenges using digital technologies in social insurance. Digitalization field occurs under influence globalization, technological innovations, changes demographic trends. study pays special attention processes, including use big data for personalizing products optimizing risk assessment claim processing procedures. research also focuses analyzing effects these equity accessibility services different population strata. This provides a comprehensive view trends prospects development insurance, highlighting both theoretical practical aspects reforming systems context modern socio-economic challenges. shows that companies reject innovation will face higher costs future compared those actively implementing new developments. These attracting high-risk clients, whereas innovations help attract more reliable clients who benefit from personalized products. demonstrates through digitalization become satisfied interested services, which leads increased premium revenues. Moreover, reduce by decision-making reducing risks, thereby operations strengthening competitive advantages insurers. digitization AI include improved accuracy assessment, process automation, product personalization, fraud detection, enhanced investment decision-making. downsides may confidentiality issues, exclusion human factor, algorithm bias, implementation complexity high costs, threat unemployment.

Language: Английский

Trends in InsurTech Development in Korea: A News Media Analysis of Key Technologies, Players, and Solutions DOI Creative Commons

Yongsu Lee,

Hyosook Yim

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 25 - 25

Published: Jan. 14, 2025

This study aims to understand how InsurTech has developed in Korea. To achieve this, we collected InsurTech-related news articles published the Korean media over past eight years. Using a relatedness analysis based on TopicRank algorithm, text-mining technique, extracted top keywords associated with by year. The were analyzed and discussed terms of development trends: which technologies gained prominence time, who key players were, what solutions introduced. revealed several trends InsurTech’s First, regarding changes technology, blockchain Internet Things initially garnered significant attention, but artificial intelligence big data later emerged as more critical technologies. Second, market players, government agencies research institutes created forums for discussion, such seminars draw social attention InsurTech. Over innovative startups entered market, general specializing insurance brokerage online marketplace, entry Big Tech platforms further diversified market. Finally, solutions, early was focused developing new products. However, trend gradually shifted toward improving accessibility convenience existing services. Additionally, asset management payment settlement services—linked financial services beyond traditional insurance—emerged, along concepts healthcare, reshaped approach contributes understanding evolved identifying emerging technologies, leading innovations value chain. case provides insights that may help explore similar patterns other countries.

Language: Английский

Citations

1
Sequential mediator and moderator model of intention for the implementation of chatbots in Malaysian government agencies DOI
Ramizatunnisah Jais, Abdul Hafaz Ngah

Journal of Decision System, Journal Year: 2025, Volume and Issue: 34(1)

Published: Jan. 2, 2025

Language: Английский

Citations

0
Factors Affecting Consumers’ Attitudes Towards Artificial Intelligence DOI
Mariano Méndez-Suárez,

Luca Delbello,

Alejandro de Vega de Unceta

et al.

Journal of Promotion Management, Journal Year: 2024, Volume and Issue: 30(7), P. 1141 - 1158

Published: June 14, 2024

To successfully develop, launch, communicate, and promote new AI-intensive products, marketers need a deep understanding of how attitudes toward science technology (S&T) shape positive or negative AI within their target groups. gain insight into these dynamics, this study employs non-metrical multidimensional scaling to map the opinions European consumers (N = 20,671) regarding S&T AI. The results reveal strong link between on AI: individuals with opinion tend have attitude AI, vice versa. Regarding sex differences, men generally exhibit about impact society, which translates very among both older younger men. In contrast, women all ages more view leading higher likelihood Incorporating findings marketing promotion strategies will help practitioners effectively position themselves for transition an AI-driven society.

Language: Английский

Citations

2
Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model DOI
Mohd Shafie Rosli, Nor Shela Saleh

SN Computer Science, Journal Year: 2024, Volume and Issue: 5(6)

Published: July 2, 2024

Language: Английский

Citations

1
DIGITAL TRANSFORMATION AND THE USE OF ARTIFICIAL INTELLIGENCE IN SOCIAL INSURANCE AND INSURANCE DOI Creative Commons

Elizaveta Pletneva,

D. M. Zagorska

Social Economics, Journal Year: 2024, Volume and Issue: 67, P. 146 - 155

Published: June 30, 2024

The goal of writing this article is to explore the impact artificial intelligence on enhancing efficiency and ensuring competitiveness insurance companies, as well uncover opportunities advantages, downsides, challenges using digital technologies in social insurance. Digitalization field occurs under influence globalization, technological innovations, changes demographic trends. study pays special attention processes, including use big data for personalizing products optimizing risk assessment claim processing procedures. research also focuses analyzing effects these equity accessibility services different population strata. This provides a comprehensive view trends prospects development insurance, highlighting both theoretical practical aspects reforming systems context modern socio-economic challenges. shows that companies reject innovation will face higher costs future compared those actively implementing new developments. These attracting high-risk clients, whereas innovations help attract more reliable clients who benefit from personalized products. demonstrates through digitalization become satisfied interested services, which leads increased premium revenues. Moreover, reduce by decision-making reducing risks, thereby operations strengthening competitive advantages insurers. digitization AI include improved accuracy assessment, process automation, product personalization, fraud detection, enhanced investment decision-making. downsides may confidentiality issues, exclusion human factor, algorithm bias, implementation complexity high costs, threat unemployment.

Language: Английский

Citations

0