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Value Creation and Appropriation following M&A

Author

Listed:
  • Mahabubur Rahman

    (ESC Rennes School of Business - ESC [Rennes] - ESC Rennes School of Business)

  • Mary Lambkin

    (UCD - University College Dublin [Dublin])

  • Dildar Hussain

    (ESC Rennes School of Business - ESC [Rennes] - ESC Rennes School of Business)

Abstract

Mergers and acquisitions (M&A) are typically inspired by a desire for revenue growth and/or cost efficiency leading to an improvement in financial performance. Post-merger performance has received considerable research attention from scholars in finance and accounting, but the marketing dimension has remained largely unexplored. This research focuses on marketing efficiency as a measure of post-merger performance, and this is investigated via an empirical study of 20 M&A deals within the US commercial banking industry. Data Envelopment Analysis (DEA) is used to measure efficiency, employing two input and two output variables. The results demonstrate that M&A transactions do have a positive effect on the marketing efficiency of the combined firms, although the effect size is small.

Suggested Citation

  • Mahabubur Rahman & Mary Lambkin & Dildar Hussain, 2016. "Value Creation and Appropriation following M&A," Post-Print hal-01477751, HAL.
    • Handle: RePEc:hal:journl:hal-01477751
    DOI: 10.1016/j.jbusres.2016.03.070
    Note: View the original document on HAL open archive server: https://rennes-sb.hal.science/hal-01477751
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    References listed on IDEAS

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    1. Elena Beccalli & Pascal Frantz, 2013. "The Determinants of Mergers and Acquisitions in Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(3), pages 265-291, June.
    2. Carline, Nicholas F. & Linn, Scott C. & Yadav, Pradeep K., 2009. "Operating performance changes associated with corporate mergers and the role of corporate governance," Journal of Banking & Finance, Elsevier, vol. 33(10), pages 1829-1841, October.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Dekker, David & Post, Thierry, 2001. "A quasi-concave DEA model with an application for bank branch performance evaluation," European Journal of Operational Research, Elsevier, vol. 132(2), pages 296-311, July.
    5. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    6. Cornett, Marcia Millon & McNutt, Jamie John & Tehranian, Hassan, 2006. "Performance Changes around Bank Mergers: Revenue Enhancements versus Cost Reductions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 1013-1050, June.
    7. Altunbas, Yener & Marqués, David, 2008. "Mergers and acquisitions and bank performance in Europe: The role of strategic similarities," Journal of Economics and Business, Elsevier, vol. 60(3), pages 204-222.
    8. Cook, Wade D. & Hababou, Moez, 2001. "Sales performance measurement in bank branches," Omega, Elsevier, vol. 29(4), pages 299-307, August.
    9. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    10. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    Cited by:

    1. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
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    5. Sen Wang & Zhijun Zhang, 2018. "Research on China’s M&A Efficiency Based on DEA–Tobit," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(4), pages 232-232, March.

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    Keywords

    Mergers and Acquisitions (M&A); Post-merger Marketing Performance; Data Envelopment Analysis (DEA); Marketing Efficiency;
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