IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01477751.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://rennes-sb.hal.science/hal-01477751/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbusres.2016.03.070?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lie Heng & Nur Afifah, 2020. "Entrepreneurial Orientation for Enhancement of Marketing Performance," International Review of Management and Marketing, Econjournals, vol. 10(3), pages 46-53.
    2. Stephen N. Jurich & M. Mark Walker, 2021. "Deal motivations and bargaining power: do executives show their hand in SEC filings?," SN Business & Economics, Springer, vol. 1(4), pages 1-28, April.
    3. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    4. Rahman, Mahabubur & Faroque, Anisur R. & Sakka, Georgia & Ahmed, Zafar U., 2022. "The impact of negative customer engagement on market-based assets and financial performance," Journal of Business Research, Elsevier, vol. 138(C), pages 422-435.
    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.

    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. Rahman, Mahabubur & Lambkin, Mary & Hussain, Dildar, 2016. "Value creation and appropriation following M&A: A data envelopment analysis," Journal of Business Research, Elsevier, vol. 69(12), pages 5628-5635.
    2. Meng-Chun Kao & Chien-Ting Lin & Lei Xu, 2012. "Do Financial Reforms Improve the Performance of Financial Holding Companies? The Case of T aiwan," International Review of Finance, International Review of Finance Ltd., vol. 12(4), pages 491-509, December.
    3. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    4. Cherchye, Laurens & De Rock, Bram & Walheer, Barnabé, 2016. "Multi-output profit efficiency and directional distance functions," Omega, Elsevier, vol. 61(C), pages 100-109.
    5. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    6. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    7. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    8. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
    9. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2019. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," European Journal of Operational Research, Elsevier, vol. 274(1), pages 240-252.
    10. Wai‐Peng Wong & Qiang Deng & Ming-Lang Tseng & Loo‐Hay Lee & Chee‐Wooi Hooy, 2014. "A Stochastic Setting To Bank Financial Performance For Refining Efficiency Estimates," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 225-245, October.
    11. Cao, Ting & Cook, Wade D. & Kristal, M. Murat, 2022. "Has the technological investment been worth it? Assessing the aggregate efficiency of non-homogeneous bank holding companies in the digital age," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    12. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
    13. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    14. Maria EL KHDARI & Babacar SARR, 2018. "Decentralization, spending efficiency and pro-poor outcomes in Morocco," Working Papers 201805, CERDI.
    15. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    16. Podinovski, V. V., 2005. "Selective convexity in DEA models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 552-563, March.
    17. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(4), pages 442-471, December.
    18. Peyrache, Antonio & Rose, Christiern & Sicilia, Gabriela, 2020. "Variable selection in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 282(2), pages 644-659.
    19. Yang, Guo-liang & Fukuyama, Hirofumi & Chen, Kun, 2019. "Investigating the regional sustainable performance of the Chinese real estate industry: A slack-based DEA approach," Omega, Elsevier, vol. 84(C), pages 141-159.
    20. Imanirad, Raha & Cook, Wade D. & Aviles-Sacoto, Sonia Valeria & Zhu, Joe, 2015. "Partial input to output impacts in DEA: The case of DMU-specific impacts," European Journal of Operational Research, Elsevier, vol. 244(3), pages 837-844.

    More about this item

    Keywords

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hal:journl:hal-01477751. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.