AI Integration as a Key Driver for Post-Merger Synergies in Indian Chemical Industries
DOI:
https://doi.org/10.58574/jaa.2024.v4.i1.14Keywords:
Artificial Intelligence, Merger and Acquisition, Post-Merger Synergies, Chemical IndustriesAbstract
The research examined the Indian chemical sector to discover evidence that AI application leads to post-merger synergy. The goals of research are to enhance operations, find innovative ways to save money, and uncover novel ideas. Chemical merging problems may be amenable to artificial intelligence. The complexity of the assignment and the current rules are causes for concern. The purpose of the research is to learn how AI influences the efficiency and cost of post-merger operations.
Management and employees of integrated chemical firms will have their responses collected quantitatively using standard questionnaires. Finding AI integration expertise is guaranteed using snowball sampling. The combination improved operating efficiency and decreased expenses, according to statistical research. In general, AI has not significantly influenced innovation. Although AI has a significant impact on post-merger synergy, its effects on innovation and smaller businesses in the long run remain unclear. The conclusion confirms what was already suspected: AI significantly enhances synergy.
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