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Measuring Human, Physical and Structural Capital Efficiency Performance of Insurance Companies

Author

Listed:
  • Mohammad Nourani

    (University of Malaya)

  • VGR Chandran

    (University of Malaya)

  • Qian Long Kweh

    (Dubai International Academic City)

  • Wen-Min Lu

    (National Defense University)

Abstract

Based on the strategy perspective of intellectual capital, this paper proposes an integrated framework that is practical to estimate the human, physical, and structural capitals (intellectual capital) efficiency performance, at firm level. This paper uses a dynamic network data envelopment analysis model to estimate the intellectual capital efficiency at three levels in the insurance industry over the period of 2005–2012. Within the insurance industry, deficiencies occurred in the human and structural capital stages as opposed to the physical capital stage. A further investigation indicates that total investment is the major concern for the deficiencies. Moreover, the cluster analysis highlights the strengths and weaknesses of the insurers based on their inherently similar efficiencies. Malaysian insurance industry need to translate and promote the existing knowledge-based economy agenda lauded by the government to improve the intellectual capital efficiency, particularly at the human capital level.

Suggested Citation

  • Mohammad Nourani & VGR Chandran & Qian Long Kweh & Wen-Min Lu, 2018. "Measuring Human, Physical and Structural Capital Efficiency Performance of Insurance Companies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 281-315, May.
    • Handle: RePEc:spr:soinre:v:137:y:2018:i:1:d:10.1007_s11205-017-1584-6
    DOI: 10.1007/s11205-017-1584-6
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    Cited by:

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    2. 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.
    3. Samira Foladi & Maghsud Solimanpur & Mustafa Jahangoshai Rezaee, 2020. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 323-347, February.
    4. Hanh Thi My Le & Qian Long Kweh & Irene Wei Kiong Ting & Mohammad Nourani, 2022. "CEO power and earnings management: Dual roles of foreign shareholders in Vietnamese listed companies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1240-1256, January.
    5. 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.
    6. Puertas, Rosa & Carracedo, Patricia & Garcia−Mollá, Marta & Vega, Virginia, 2022. "Analysis of the determinants of market capitalisation: Innovation, climate change policies and business context," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    7. Ahmed Jinjiri Bala & Aminu Hassan & Kabiru Isa Dandago & Attahir Babaji Abubakar & Zaharaddeen Salisu Maigoshi, 2021. "On the relationship between intellectual capital efficiency and firm value: evidence from the Nigerian oil and gas downstream sector," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 18(3), pages 222-251.

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