Insurance Technology Enhances the Management Efficiency of the Insurance Industry by Reducing Information Asymmetry

DOI

10.2991/978-2-38476-585-0_87How to use a DOI?

Keywords

Insurance Technology; Information Asymmetry; Data-Driven Decision-Making; Management Efficiency; Case Study

Abstract

The insurance industry has long faced efficiency issues caused by information asymmetry, including inaccurate risk assessment, difficulty in identifying fraud, and high operating costs, leading to widespread adverse selection and moral hazard. In recent years, insurance technology (InsurTech), represented by big data, artificial intelligence (AI), and blockchain, has provided new ways to improve information transparency and management efficiency. This paper aims to explore how InsurTech can mitigate information asymmetry to improve decision-making efficiency, operational efficiency, and customer response efficiency. Based on information asymmetry theory and data-driven decision-making models (DDDM), this paper constructs a causal analysis framework for the impact of technological interventions on management performance. In terms of research, three companies—Ping An Insurance (a representative of traditional insurance companies undergoing digital transformation), ZhongAn Insurance (a domestic internet insurance platform), and Lemonade (a global digital-native insurance company)—were selected for a comparative case study. The findings reveal that initiatives such as AI-assisted fraud detection, blockchain-enhanced data trustworthiness, and big data-supported personalized pricing have significantly optimized management efficiency in risk identification, process automation, and customer response for insurance companies. This paper not only provides a theoretical basis for understanding the efficiency improvement mechanisms driven by technology but also offers practical insights for insurance companies advancing their digital transformation.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruoyang Wu
AU  - Haotong Yang
AU  - Mohan Zhang
PY  - 2026
DA  - 2026/06/18
TI  - Insurance Technology Enhances the Management Efficiency of the Insurance Industry by Reducing Information Asymmetry
BT  - Proceedings of the 2025 International Conference on Hybrid Commerce, Human Capital, and Economic Dynamics (ICHCH 2025)
PB  - Atlantis Press
SP  - 770
EP  - 778
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-2-38476-585-0_87
DO  - 10.2991/978-2-38476-585-0_87
ID  - Wu2026
ER  -