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探索马来西亚保险行业中人工智能驱动的商业智能系统面临的挑战
Sharmila Ramachandaran1, Zubaidi Mahalley1, Riska Nuraini1,2
1Faculty of Business and Communication, INTI International University & Colleges, Nilai, Negeri Sembilan, Malaysia.
F1000Research
|June 27, 2025
概括
马来西亚保险公司在采用人工智能 (AI) 和商业智能 (BI) 系统时面临重大挑战,包括阻力,技能差距和法规. 解决这些问题是保险行业数字化转型的关键.
科学领域:
- 信息系统信息系统信息系统
- 企业管理 企业管理
- 保险技术 保险技术 保险技术
背景情况:
- 马来西亚保险业的目标是将人工智能 (AI) 与商业智能 (BI) 整合起来,以提高效率和客户体验.
- 存在重大采用障碍,包括组织抵抗,技能短缺,监管障碍和财务限制.
- 本研究探讨了在马来西亚保险行业采用人工智能驱动的BI系统所面临的具体挑战.
研究的目的:
- 探索在马来西亚保险行业内采用人工智能驱动的BI系统时遇到的具体挑战.
- 通过综合的技术-组织-环境 (TOE) 和基于资源的视图 (RBV) 框架,检查影响人工智能采用的内部和外部因素.
主要方法:
- 定性案例研究方法.
- 与技术专家,中层管理人员和高级领导人进行了深入采访.
- 专题分析以确定重大采用障碍.
主要成果:
- 组织的阻力,缺乏熟练的人员和复杂的监管导航是关键障碍.
- 调查结果强调了需要领导力承诺,劳动力提升技能和改进技术基础设施的需要.
- 政策宣传被认为是成功采用人工智能的关键.
结论:
- 这项研究有助于理解AI驱动的BI在新兴市场的采用.
- 为马来西亚保险公司提供实用见解,以克服采用挑战.
- 为保险行业的数字化转型,合规性和以客户为中心提供建议.
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