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https://nccur.lib.nccu.edu.tw/handle/140.119/131038
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Title: | 提升意外保險部門之營運效率研究 IMPROVING OPERATIONAL EFFICIENCY OF A CASUALTY INSURANCE DEPARTMENT |
Authors: | 卓尚緯 Cho, Stewart |
Contributors: | 蔡政憲 Tsai, Jason 卓尚緯 Cho, Stewart |
Keywords: | 運作效率 意外險 人工智慧 核心系統 員工訓練 Operational efficiency Casualty insurance Artificial Intelligence Core system Employee training |
Date: | 2020 |
Issue Date: | 2020-08-03 17:45:49 (UTC+8) |
Abstract: | While improving the operational efficiency of a casualty insurance department in the property insurance industry has been extensively investigated, increasing the performance and efficiency of an underwriting department in a life insurance company is relatively unexplored. The paper studies the improvement of efficiency of the casualty insurance department. The research focuses on how a non-life insurance company should change in order to improve the efficiency of its casualty insurance department from five different factors, which are artificial intelligence (AI) and robots, core systems, internal business processes and delegation of authority policy, employee training, and distribution channels and marketing strategies. Interview information from the participants is categorized in order to ascertain the respondent’s opinions are presented correctly. The findings suggest that property insurance companies could consider using AI or robots, introducing a new core system, giving a higher limit of authorities or delegation of authority for its branches to underwrite more insurance products, and providing training that employees needed to handle daily business routines. These findings have implications for non-life insurance companies to have plans or intend to evaluate what things they should do to increase performance and competitiveness from different perspectives. |
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Description: | 碩士 國立政治大學 國際經營管理英語碩士學位學程(IMBA) 106933028 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0106933028 |
Data Type: | thesis |
DOI: | 10.6814/NCCU202000750 |
Appears in Collections: | [國際經營管理英語碩士學程IMBA] 學位論文
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