IDEAS home Printed from https://ideas.repec.org/a/spt/admaec/v9y2019i2f9_2_5.html
   My bibliography  Save this article

An Empirical Study by Applying Multi-Criteria Expertise Analytic Hierarchy Process Model in Evaluation

Author

Listed:
  • Thanh-Tuyen Tran

Abstract

Financial organizations have been globally studied, but few of these studies have examined the strategies used by banks in Vietnam for making decisions regarding bank rankings. This research is objective to explore and to demonstrate utility of Analytic Hierarchy Process (AHP) application in banking for the purpose of proposing a suitable model for partners evaluation and selecting banking strategic alliances in Vietnam. The AHP is applied to examine what criteria should be encompassed in evaluating and examining the importance weightings of influential criteria when ranking the bank system. After a long process of calculation based on AHP, the author has come up with the final rankings according expert’s interview: ACB’s percentages have change widely from each sub-criterion. By this thesis, author would contribute to the ranking process of the banking system, in general, and the special case of Vietnamese banking a very modern model to apply, then to choose the right alliance for further cooperation, not only for banking system but it can be applied for a lot of industries. JEL classification numbers: G22, G21Keywords: AHP, banking system, evaluating, rankings, experts

Suggested Citation

  • Thanh-Tuyen Tran, 2019. "An Empirical Study by Applying Multi-Criteria Expertise Analytic Hierarchy Process Model in Evaluation," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(2), pages 1-5.
    • Handle: RePEc:spt:admaec:v:9:y:2019:i:2:f:9_2_5
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/AMAE%2fVol%209_2_5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beyer, Anne & Cohen, Daniel A. & Lys, Thomas Z. & Walther, Beverly R., 2010. "The financial reporting environment: Review of the recent literature," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 296-343, December.
    2. Korhonen, Pekka & Voutilainen, Raimo, 2006. "Finding the most preferred alliance structure between banks and insurance companies," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1285-1299, December.
    3. Kurttila, Mikko & Pesonen, Mauno & Kangas, Jyrki & Kajanus, Miika, 2000. "Utilizing the analytic hierarchy process (AHP) in SWOT analysis -- a hybrid method and its application to a forest-certification case," Forest Policy and Economics, Elsevier, vol. 1(1), pages 41-52, May.
    4. Arbel, Ami & Orgler, Yair E., 1990. "An application of the AHP to bank strategic planning: The mergers and acquisitions process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 27-37, September.
    5. Chen, Zhian & Tan, Jianzhong, 2011. "Does bancassurance add value for banks? - Evidence from mergers and acquisitions between European banks and insurance companies," Research in International Business and Finance, Elsevier, vol. 25(1), pages 104-112, January.
    6. R. Ashle Baxter & Anne Ho, 2011. "Banking reform in Vietnam," Asia Focus, Federal Reserve Bank of San Francisco, issue June.
    7. Mohd Nishat Faisal & D.K. Banwet, 2009. "Analysing alternatives for information technology outsourcing decision: an analytic network process approach," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 4(1), pages 47-62.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eunsoo Kim & Suyon Kim & Jaehong Lee, 2021. "Do Foreign Investors Affect Carbon Emission Disclosure? Evidence from South Korea," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    2. Waters, James, 2015. "Optimal design and consequences of financial disclosure regulation: a real options approach," MPRA Paper 63369, University Library of Munich, Germany.
    3. Cowan, Arnold R. & Salotti, Valentina, 2020. "Anti-selective disclosure regulation and analyst forecast accuracy and usefulness," Journal of Corporate Finance, Elsevier, vol. 64(C).
    4. Rolf Uwe Fülbier & Thorsten Sellhorn, 2023. "Understanding and improving the language of business: How accounting and corporate reporting research can better serve business and society," Journal of Business Economics, Springer, vol. 93(6), pages 1089-1124, August.
    5. Samuel B. Bonsall & Brian P. Miller, 2017. "The impact of narrative disclosure readability on bond ratings and the cost of debt," Review of Accounting Studies, Springer, vol. 22(2), pages 608-643, June.
    6. Jannis Bischof & Ulf Brüggemann & Holger Daske, 2012. "Fair Value Reclassifications of Financial Assets during the Financial Crisis," SFB 649 Discussion Papers SFB649DP2012-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    7. Semih Tartaroglu & Michael Imhof, 2017. "Insider trading and response to earnings announcements: the impact of accelerated disclosure requirements," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 315-336, August.
    8. Agnes C. S. Cheng & Wenli Huang & Shaojun Zhang, 2020. "Major government customer and management earnings forecasts," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-20, December.
    9. Andy Lardon & Marc Deloof, 2014. "Financial disclosure by SMEs listed on a semi-regulated market: evidence from the Euronext Free Market," Small Business Economics, Springer, vol. 42(2), pages 361-385, February.
    10. Wang, Fengrong & Mbanyele, William & Muchenje, Linda, 2022. "Economic policy uncertainty and stock liquidity: The mitigating effect of information disclosure," Research in International Business and Finance, Elsevier, vol. 59(C).
    11. Kristian D. Allee & Theodore E. Christensen & Bryan S. Graden & Kenneth J. Merkley, 2021. "The Genesis of Voluntary Disclosure: An Analysis of Firms’ First Earnings Guidance," Management Science, INFORMS, vol. 67(3), pages 1914-1938, March.
    12. Ali, Ashiq & Klasa, Sandy & Yeung, Eric, 2014. "Industry concentration and corporate disclosure policy," Journal of Accounting and Economics, Elsevier, vol. 58(2), pages 240-264.
    13. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    14. Gözaçan Nazlıcan & Lafci Çisem, 2020. "Evaluation of Key Performance Indicators of Logistics Firms," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 11(1), pages 24-32, February.
    15. Pastwa, Anna M. & Shrestha, Prabal & Thewissen, James & Torsin, Wouter, 2021. "Unpacking the black box of ICO white papers: a topic modeling approach," LIDAM Discussion Papers LFIN 2021018, Université catholique de Louvain, Louvain Finance (LFIN).
    16. Nan Hu & Xingnan Xue & Ling Liu, 2022. "The impact of air pollution on financial reporting quality: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3609-3644, September.
    17. Sabina Kordana-Obuch & Michał Wojtoń & Mariusz Starzec & Beata Piotrowska, 2023. "Opportunities and Challenges for Research on Heat Recovery from Wastewater: Bibliometric and Strategic Analyses," Energies, MDPI, vol. 16(17), pages 1-36, September.
    18. Wenshuai Wu & Gang Kou, 2016. "A group consensus model for evaluating real estate investment alternatives," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-10, December.
    19. Yan Li & Yutao Li, 2020. "The effect of trade secrets protection on disclosure of forward‐looking financial information," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(3-4), pages 397-437, March.
    20. Elsayed, Mohamed & Elshandidy, Tamer, 2021. "Internal control effectiveness, textual risk disclosure, and their usefulness: U.S. evidence," Advances in accounting, Elsevier, vol. 53(C).

    More about this item

    Keywords

    ahp; banking system; evaluating; rankings; experts;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:admaec:v:9:y:2019:i:2:f:9_2_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.