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Assessing the Impact of M&As’ Motives Influencing the M&A Decision Making Process in the UAE Banking Sector

Author

Listed:
  • Ahmad Majid Ahmad Nasser Lootah

    (College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates.)

  • Hussein A. Hassan Al Tamimi

    (Department of Finance and Economics, College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates.)

  • Panagiotis D. Zervopoulos

    (Department of Management, College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates.)

Abstract

A number of review studies have been conducted to provide valuable insights into the M&A decision-making process in the banking sector and factors that could have a positive and effective impact on it. This study systematically reviews and analyses the decision-making process for M&A and its related factors in 15 interviews with experts related to 10 M&A transaction in UAE banking sector from 2005 to 2021. The main findings contain that the most frequent factors affecting M&A decision-making are Regulation, Globalization, Technology and Economics. In addition, most of the M&A decision-making relevance is also affected by the internal factors of Synergy, Agency & Management Motives, Hubris Motives. The findings of this review study provide an overview of current studies and analyses of the M&A decision-making process in the banking sector and the factors that affect it.

Suggested Citation

  • Ahmad Majid Ahmad Nasser Lootah & Hussein A. Hassan Al Tamimi & Panagiotis D. Zervopoulos, 2024. "Assessing the Impact of M&As’ Motives Influencing the M&A Decision Making Process in the UAE Banking Sector," International Journal of Economics and Financial Issues, Econjournals, vol. 14(3), pages 192-205, May.
  • Handle: RePEc:eco:journ1:2024-03-22
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    References listed on IDEAS

    as
    1. Mohamad Hassan & Evangelos Giouvris, 2021. "Bank mergers: the cyclical behaviour of regulation, risk and returns," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 13(2), pages 256-284, January.
    2. Erik Devos & Srinivasan Krishnamurthy & Rajesh Narayanan, 2016. "Efficiency and Market Power Gains in Bank Megamergers: Evidence from Value Line Forecasts," Financial Management, Financial Management Association International, vol. 45(4), pages 1011-1039, December.
    3. Md. Abul Kalam Azad & Susila Munisamy & Abdul Kadar Muhammad Masum & Paolo Saona & Peter Wanke, 2017. "Bank efficiency in Malaysia: a use of malmquist meta-frontier analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 287-311, August.
    4. Stefano Caiazza & Alberto Franco Pozzolo & Giovanni Trovato, 2016. "Bank efficiency measures, M&A decision and heterogeneity," Journal of Productivity Analysis, Springer, vol. 46(1), pages 25-41, August.
    5. Nemanja Radić & Franco Fiordelisi & Claudia Girardone, 2012. "Efficiency and Risk-Taking in Pre-Crisis Investment Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 41(1), pages 81-101, April.
    6. Miguel Boucinha & Nuno Ribeiro & Thomas Weyman-Jones, 2013. "An assessment of Portuguese banks’ efficiency and productivity towards euro area participation," Journal of Productivity Analysis, Springer, vol. 39(2), pages 177-190, April.
    7. Diah Hari Suryaningrum & Abdul Aziz Abdul Rahman & Abdelrhman Meero & Pandu Adi Cakranegara, 2023. "Mergers and acquisitions: does performance depend on managerial ability?," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-23, December.
    8. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    9. Hossain, Mohammed Sawkat, 2021. "Merger & Acquisitions (M&As) as an important strategic vehicle in business: Thematic areas, research avenues & possible suggestions," Journal of Economics and Business, Elsevier, vol. 116(C).
    10. Md Zobaer Hasan & Anton Abdulbasah Kamil & Adli Mustafa & Md Azizul Baten, 2012. "A Cobb Douglas Stochastic Frontier Model on Measuring Domestic Bank Efficiency in Malaysia," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-5, August.
    11. Jamal Al-Khasawneh, 2013. "Pairwise X-efficiency combinations of merging banks: analysis of the fifth merger wave," Review of Quantitative Finance and Accounting, Springer, vol. 41(1), pages 1-28, July.
    12. Gregory McKee & Albert Kagan, 2018. "Community bank structure an x-efficiency approach," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 19-41, July.
    13. Ali-Yrkkö, Jyrki, 2002. "Mergers and Acquisitions - Reasons and Results," Discussion Papers 792, The Research Institute of the Finnish Economy.
    14. Xiaoling Song & Huizhi Yu & Zehai He, 2023. "Heterogeneous Impact of Fintech on the Profitability of Commercial Banks: Competition and Spillover Effects," JRFM, MDPI, vol. 16(11), pages 1-17, November.
    15. Mohammed Ibrahimi & Mohammed Amine & Abdellatif Taghzouti, 2021. "Determinants of value creation through mergers and acquisitions in the MENA region," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 22(2/3), pages 273-290.
    16. Tai-Hsin Huang & Chung-Hua Shen & Kuan-Chen Chen & Shen-Ju Tseng, 2011. "Measuring technical and allocative efficiencies for banks in the transition countries using the Fourier flexible cost function," Journal of Productivity Analysis, Springer, vol. 35(2), pages 143-157, April.
    17. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    18. Fadzlan Sufian & Muzafar Shah Habibullah, 2014. "The impact of forced mergers and acquisitions on banks’ total factor productivity: empirical evidence from Malaysia," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(1), pages 151-185, January.
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    More about this item

    Keywords

    Keyword Banking; Mergers and Acquisitions; Bank Performance; Motives;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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