Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices

Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices

Authors

  • Krishna Madhav Jha
  • Vasu Velaga
  • Kishan Kumar Routhu
  • Gangadhar Sadaram
  • Suneel Babu Boppana
  • Niharika Katnapally

Abstract

Risk management is a cornerstone of successful enterprise mergers and acquisitions (M&A), addressing uncertainties and challenges that can significantly impact outcomes. This paper reviews contemporary approaches and best practices in risk management for M&A activities, focusing on financial, operational, strategic, regulatory, and cultural risks. This paper explores the multifaceted risks associated with M&A and presents strategies to manage these uncertainties effectively. Key frameworks such as the Fishbone Method for risk identification and the Fuzzy-AHP Method for risk quantification are examined. Additionally, the study discusses the historical evolution of M&A in distinct waves and highlights different types of mergers and acquisitions, including horizontal, vertical, and conglomerate forms. The analysis emphasizes the importance of structured risk management models and best practices, such as due diligence and alignment of organizational cultures, to maximize the probability of success in M&A transactions. By addressing these risks systematically, organizations can leverage M&A to achieve sustainable growth and competitive advantage.

References

M. SEHLEANU, “MERGERS AND ACQUISITIONS AND THE STRATEGIES TO INCREASE THE MARKET STRENGTH,” Ann. ORADEA Univ. Fascicle Manag. Technol. Eng., 2014, doi: 10.15660/auofmte.2014-2.3036.

S. K. R. A. Sai Charan Reddy Vennapusa, Takudzwa Fadziso, Dipakkumar Kanubhai Sachani, Vamsi Krishna Yarlagadda, “Cryptocurrency-Based Loyalty Programs for Enhanced Customer Engagement,” Technol. Manag. Rev., vol. 3, no. 1, pp. 46–62, 2018.

V. K. Y. Nicholas Richardson, Rajani Pydipalli, Sai Sirisha Maddula, Sunil Kumar Reddy Anumandla, “Role-Based Access Control in SAS Programming: Enhancing Security and Authorization,” Int. J. Reciprocal Symmetry Theor. Phys., vol. 6, no. 1, pp. 31–42, 2019.

Wahyu Widowati et al., “Effect of beta-carotene on cell proliferation and differentiation of adipose-derived stem cells into endothelial progenitor cells,” BioTechnology, vol. 9, no. 10, pp. 407–412, 2014.

M. A. Shajahan, N. Richardson, N. Dhameliya, B. Patel, S. K. R. Anumandla, and V. K. Yarlagadda, “AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development,” Eng. Int., vol. 7, no. 2, pp. 161–178, Dec. 2019, doi: 10.18034/ei.v7i2.711.

V. K. Yarlagadda, S. S. Maddula, D. K. Sachani, K. Mullangi, S. K. R. Anumandla, and B. Patel, “Unlocking Business Insights with XBRL: Leveraging Digital Tools for Financial Transparency and Efficiency,” Asian Account. Audit. Adv., vol. 11, no. 1, pp. 101–116, 2020.

M. Z. Hasan, R. Fink, M. R. Suyambu, and M. K. Baskaran, “Assessment and improvement of elevator controllers for energy efficiency,” in Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 2012. doi: 10.1109/ISCE.2012.6241747.

M. Z. Hasan, R. Fink, M. R. Suyambu, and M. K. Baskaran, “Assessment and improvement of intelligent controllers for elevator energy efficiency,” in IEEE International Conference on Electro Information Technology, 2012. doi: 10.1109/EIT.2012.6220727.

B. Chui, “A Risk Management Model for Merger and Acquisition,” Int. J. Eng. Bus. Manag., vol. 3, 2011, doi: 10.5772/50935.

M. Z. Hasan, R. Fink, M. R. Suyambu, M. K. Baskaran, D. James, and J. Gamboa, “Performance evaluation of energy efficient intelligent elevator controllers,” in IEEE International Conference on Electro Information Technology, 2015. doi: 10.1109/EIT.2015.7293320.

R. Goyal, “THE ROLE OF BUSINESS ANALYSTS IN INFORMATION MANAGEMENT PROJECTS,” Int. J. Core Eng. Manag., vol. 6, no. 9, pp. 76–86, 2020.

R. K. Sharma and A. Sharma, “Pre and post process of corporate merger and acquisition technicalities,” Int. J. Eng. Adv. Technol., 2019, doi: 10.35940/ijeat.F1158.0886S19.

M. Gopalsamy, “Artificial Intelligence (AI) Based Internet-ofThings (IoT)-Botnet Attacks Identification Techniques to Enhance Cyber security,” Int. J. Res. Anal. Rev., vol. 7, no. 4, pp. 414–420, 2020.

F. Hu, “On the risk identification of Chinese enterprises in overseas M &As,” in Proceedings of the International Conference on Information ManagementProceedings of the International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2008, 2008. doi: 10.1109/ICIII.2008.250.

L. Bai, Y. Zhang, and Y. Zhao, “Applying rough set theory into risk identification of M&A,” in 2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009, 2009. doi: 10.1109/FITME.2009.126.

Y. H. Qu, P. Z. Li, and S. N. Liu, “Case studies of seeking the motives of merger and acquisition between enterprises by using efficiency theory,” in International Conference on Management Science and Engineering - Annual Conference Proceedings, 2013. doi: 10.1109/ICMSE.2013.6586386.

Y. Zhao, “Financial risk in cross-border M&A: The case of Geely Group-Volvo merger,” in 14th International Conference on Services Systems and Services Management, ICSSSM 2017 - Proceedings, 2017. doi: 10.1109/ICSSSM.2017.7996194.

L. Du and Z. Liu, “Index system of culture risk in Chinese cross-baord M & A enterprises,” in 2010 International Conference on Management and Service Science, MASS 2010, 2010. doi: 10.1109/ICMSS.2010.5576939.

D. Huang and A. Shi, “Overseas M&A by Chinese enterprises: Analysis of restriction factor,” in 2010 International Conference on Management and Service Science, MASS 2010, 2010. doi: 10.1109/ICMSS.2010.5576489.

Patra, G. K., Rajaram, S. K., Boddapati, V. N., Kuraku, C., & Gollangi, H. K. (2022). Advancing Digital Payment Systems: Combining AI, Big Data, and Biometric Authentication for Enhanced Security. International Journal of Engineering and Computer Science, 11(08), 25618–25631. https://doi.org/10.18535/ijecs/v11i08.4698.

Shravan Kumar Rajaram, Eswar Prasad Galla, Gagan Kumar Patra, Chandrakanth Rao Madhavaram, & Janardhana Rao. (2022). AI-Driven Threat Detection: Leveraging Big Data For Advanced Cybersecurity Compliance. Educational Administration: Theory and Practice, 28(4), 285–296. https://doi.org/10.53555/kuey.v28i4.7529

Gagan Kumar Patra, Shravan Kumar Rajaram, & Venkata Nagesh Boddapati. (2019). Ai And Big Data In Digital Payments: A Comprehensive Model For Secure Biometric Authentication. Educational Administration: Theory and Practice, 25(4), 773–781. https://doi.org/10.53555/kuey.v25i4.7591

Chandrababu Kuraku, Hemanth Kumar Gollangi, & Janardhana Rao Sunkara. (2020). Biometric Authentication In Digital Payments: Utilizing AI And Big Data For Real-Time Security And Efficiency. Educational Administration: Theory and Practice, 26(4), 954–964. https://doi.org/10.53555/kuey.v26i4.7590

Eswar Prasad Galla.et.al. (2021). Big Data And AI Innovations In Biometric Authentication For Secure Digital Transactions Educational Administration: Theory and Practice, 27(4), 1228 –1236Doi: 10.53555/kuey.v27i4.7592

Janardhana Rao Sunkara, Sanjay Ramdas Bauskar, Chandrakanth Rao Madhavaram, Eswar Prasad Galla, Hemanth Kumar Gollangi, Data-Driven Management: The Impact of Visualization Tools on Business Performance, International Journal of Management (IJM), 12(3), 2021, pp. 1290-1298. https://iaeme.com/Home/issue/IJM?Volume=12&Issue=3.

V. N. Boddapati et al., “Data migration in the cloud database: A review of vendor solutions and challenges,” Int. J. Comput. Artif. Intell., vol. 3, no. 2, pp. 96–101, Jul. 2022, doi: 10.33545/27076571.2022.v3.i2a.110.

Mohit Surender Reddy, Manikanth Sarisa, Siddharth Konkimalla, Sanjay Ramdas Bauskar, Hemanth Kumar Gollangi, Eswar Prasad Galla, Shravan Kumar Rajaram, 2021. "Predicting tomorrow’s Ailments: How AI/ML Is Transforming Disease Forecasting", ESP Journal of Engineering & Technology Advancements, 1(2): 188-200.

K. Gollangi, S. R. Bauskar, C. R. Madhavaram, P. Galla, J. R. Sunkara, and M. S. Reddy, “ECHOES IN PIXELS : THE INTERSECTION OF IMAGE PROCESSING AND SOUND OPEN ACCESS ECHOES IN PIXELS : THE INTERSECTION OF IMAGE PROCESSING AND SOUND DETECTION,” Int. J. Dev. Res., vol. 10, no. 08, pp. 39735–39743, 2020, doi: 10.37118/ijdr.28839.28.2020.

Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020).Unveiling the Hidden Patterns: AI-Driven Innovations in Image Processing and Acoustic Signal Detection. (2020). JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), 8(1), 25- 45. https://doi.org/10.70589/JRTCSE.2020.1.3.

Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Exploring AI Algorithms for Cancer Classification and Prediction Using Electronic Health Records. Journal of Artificial Intelligence and Big Data, 1(1), 65–74. Retrieved from https://www.scipublications.com/journal/index.php/jaibd/article/view/1109

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Published

2024-03-30

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How to Cite

Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices. (2024). International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-12. https://ijsdai.com/index.php/IJSDAI/article/view/76

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