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The impacts of risk-management committee characteristics and prestige on efficiency

Author

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  • Yueh-Cheng Wu

    (National Taipei University of Technology, Taipei, Taiwan)

  • Qian Long Kweh

    (Universiti Tenaga Nasional, Pahang, Malaysia)

  • Wen-Min Lu

    (National Defense University, Taipei, Taiwan)

  • Noor Azlinna Azizan

    (Universiti Malaysia Pahang, Pahang, Malaysia)

Abstract

We examine the effects of risk-management committee characteristics and prestige on efficiency, as well as the moderating effect of risk-management committee prestige on the association between risk-management committee characteristics and the efficiency of Malaysian insurance companies between 2008 and 2013. We apply the dynamic network slacks-based measure model to estimate efficiency, and truncated regression with a bootstrapping procedure to examine the impacts of risk-management committee characteristics and prestige on efficiency. We find significantly positive relationships among the variables, with the exception of the number of risk-management committee meetings. Furthermore, risk-management committee prestige could minimize the positive effect of risk-management committee characteristics on efficiency.

Suggested Citation

  • Yueh-Cheng Wu & Qian Long Kweh & Wen-Min Lu & Noor Azlinna Azizan, 2016. "The impacts of risk-management committee characteristics and prestige on efficiency," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(6), pages 813-829, June.
    • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:6:p:813-829
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    Citations

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    Cited by:

    1. Malik, Muhammad Farhan & Nowland, John & Buckby, Sherrena, 2021. "Voluntary adoption of board risk committees and financial constraints risk," International Review of Financial Analysis, Elsevier, vol. 73(C).
    2. Masturah Malik & Rohami Shafie & Ku Nor Izah Ku Ismail, 2021. "Do risk management committee characteristics influence the market value of firms?," Risk Management, Palgrave Macmillan, vol. 23(1), pages 172-191, June.
    3. Tone, Kaoru & Kweh, Qian Long & Lu, Wen-Min & Ting, Irene Wei Kiong, 2019. "Modeling investments in the dynamic network performance of insurance companies," Omega, Elsevier, vol. 88(C), pages 237-247.
    4. Luisa Anderloni & Ornella Moro & Alessandra Tanda, 2020. "Governance and Performance in Insurance Companies: A Bibliometric Analysis and A Meta-Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(11), pages 1-1, November.
    5. Shi‐Xiao Wang & Wen‐Min Lu & Shiu‐Wan Hung, 2020. "Improving innovation efficiency of emerging economies: The role of manufacturing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 503-519, June.
    6. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Assessing the dynamic efficiency and technology gap of airports under different ownerships: A union dynamic NDEA approach," Omega, Elsevier, vol. 119(C).
    7. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    8. Mohammad Nourani & Qian Long Kweh & Irene Wei Kiong Ting & Wen-Min Lu & Anna Strutt, 2022. "Evaluating traditional, dynamic and network business models: an efficiency-based study of Chinese insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 905-943, October.

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