Trends and Determinants of Mergers and Acquisitions in the Manufacturing Sector in India
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.1.07Keywords:
Mergers and Acquisitions, Deal Size, Sector., Stake Percentage,, India, Manufacturing SectorDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This article discusses the strategic rationale and impact of mergers and acquisitions (M&A) that have impacted the manufacturing sector for the years 2004-2022. It is meant to bridge the research gap in the knowledge of the role of non-financial measures such as stake percentage and business value in such transactions. The research employs a mixed-method and a rich set of data of 20 years of M&A deals. It examines the connection between the deal size and other financial and non-financial factors. The results contradict the traditional assumptions, which show that financial measures such as revenue, EBITDA and PAT do not affect the size of M&A deals. Rather, the percentage of stake and business value become the most important factors, which point to the strategic reasons of M&A decisions. The paper also reveals that there are different M&A dynamics in various manufacturing sub-sectors, which depict different strategic goals. The findings highlight the complexity of M&A activities, which are more influenced by strategic needs of entering the market and technological improvement rather than the financial ones. Such insights are essential to the industry stakeholders in order to make informed investment and strategic plans, which explains the significance of both financial and non-financial aspects of M&A transactions. The paper ends by requesting more studies to be conducted on long-term effects and qualitative nature of M&A to gain more insight into its transformational effects on manufacturing industry.Abstract
How to Cite
Downloads
Similar Articles
- Ritika Goyal, Payal Thakur, Influence of Entrepreneurial Characteristics on the Performance of MSMEs in Gautam Buddha Nagar , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- J. M. Aslam, K. M. Kumar, Enhancing cloud data security: User-centric approaches and advanced mechanisms , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Olivia C. Gold, Jayasimman Lawrence, Enhanced LSTM for heart disease prediction in IoT-enabled smart healthcare systems , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Ayesha Shakith, L. Arockiam, Enhancing classification accuracy on code-mixed and imbalanced data using an adaptive deep autoencoder and XGBoost , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V Babydeepa, K. Sindhu, A hybrid feature selection and generative adversarial network for lung and uterus cancer prediction with big data , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- D. Jayadurga, A. Chandrabose, Expanding the quantity of virtual machines utilized within an open-source cloud infrastructure , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Veena Pande, Manish Pande, MOLECULAR DIVERSITY OF ECTOMYCORRHIZAL FUNGI OF CENTRAL HIMALAYA OF INDIA: AN IMPORTANT COMPONENT OF FOREST ECOSYSTEM , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- J. Helan Shali Margret, N. Amsaveni, A study on recency patterns of cited resources in the cytokine publications from web of science , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- R. Sakthiraman, L. Arockiam, RRFSE: RNN biased random forest and SVM ensemble for RPL DDoS in IoT-WSN environment , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Pravin P. P, J. Arunshankar, Development of digital twin for PMDC motor control loop , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
<< < 75 76 77 78 79 80 81 82 83 84 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Kapil ahuja, Ekta Rani, Soniya Devi, Exploring the dynamic landscape of environmental, social, and governance literature by using bibliometric analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper

