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An illustration of multiple-stakeholder perspective using a survey across Australia, China and Japan

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  • Necmi Kemal Avkiran

    (The University of Queensland)

Abstract

The primary objective of the article is to illustrate how to develop a multiple stakeholder perspective (MSP) on a common set of financial ratios using a cross-country survey and reflect this information in a single comparative bank performance estimate. Data Envelopment Analysis brings together the varying perspectives of five key stakeholders, namely, regulators, shareholders, customers, bank managers and employees. I develop the MSP approach by taking advantage of a recent online survey of stakeholder perceptions on key financial ratios across the major trading partners Australia, China and Japan. Insights gained through MSP can guide regulatory vigor, promotional or public relations activities, raising of equity capital in overseas markets and other cross-border operations such as positioning an institution’s international presence in a host country.

Suggested Citation

  • Necmi Kemal Avkiran, 2017. "An illustration of multiple-stakeholder perspective using a survey across Australia, China and Japan," Annals of Operations Research, Springer, vol. 248(1), pages 93-121, January.
    • Handle: RePEc:spr:annopr:v:248:y:2017:i:1:d:10.1007_s10479-016-2191-7
    DOI: 10.1007/s10479-016-2191-7
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    Cited by:

    1. Danny Samson & Pat Foley & Heng Soon Gan & Marianne Gloet, 2018. "Multi-stakeholder decision theory," Annals of Operations Research, Springer, vol. 268(1), pages 357-386, September.

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    More about this item

    Keywords

    Multiple stakeholders; Ranking; Data envelopment analysis; Regulation; Marketing; Banking;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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