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
- A. Kalaiselvi, A. Chandrabose, Fuzzy logic-driven scheduling for cloud computing operations: a dynamic and adaptive approach , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Rashmi Chandra, Afroz Alam, Phytochemical Analysis Using X-ray Diffraction Spectroscopy (XRD) and GC-MS Analysis of Bioactive Compounds in Cucumis sativus L. (Angiosperms; Cucurbitaceae) , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Mohanapriya Jayapal, Hema Jagadeesan, Plant-microbe-dye interaction during rhizoremediation , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- V. Mahalakshmi, M. Manimekalai, Location Specific Paddy Yield Prediction using Monte Carlo Simulation incorporated Long Short-Term Memory , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Jhankar Moolchandani, Kulvinder Singh, English language analysis using pattern recognition and machine learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Shubharani Muragod, Sangeeta Kharde, Premenstrual syndrome among adolescent girls and its influence on academic performance- A cross-sectional study , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Ellakkiya Mathanraj, Ravi N. Reddy, Enhanced principal component gradient round-robin load balancing in cloud computing , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Muhammed Jouhar K. K., Dr. K. Aravinthan, An improved social media behavioral analysis using deep learning techniques , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Manpreet Kaur, Shweta Mishra, A smart grid data privacy-preserving aggregation approach with authentication , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 66 67 68 69 70 71 72 73 74 75 > >>
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

