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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65734
Volume:
10 |
6 |
Jun 2026
Pages:
1-12
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Commerce
Government College for Women, Hisar
Mass Communication
Guru Jambheshwar University Science & Technology, Hisar
Artificial intelligence (AI) was developed in the mid-1950s. AI is a revolutionary technology which reshaping businesses’ activities worldwide. Nowadays, many organizations are enhancing the usage of AI techniques like robotics, automation, machine learning, and predictive analytics to increase the efficiency, productivity, and competitiveness of their business. The main aim of this study is to examine how artificial intelligence assists businesses in gaining competitiveness and increasing operational efficiency, strategic decision-making, customer satisfaction, innovation, organisational performance, predictive analytics, digital transformation, and global competitiveness, as well as efficiently managing human resources. This study is based on secondary data, which is collected from research papers, reports, and websites. Finding of this study shows that artificial intelligence literally works and provide the benefits like cost reduction, customer satisfaction, increase productivity, better competitive advantage, more innovative, increase global competitiveness and digital transformation, predictive analysis etc. along with the benefits some challenges also highlights like huge deployment cost, limited technical knowledge, issue of data privacy, ethical and legal issues, fear of layoff and oppose to change etc. which resist to businesses to adopt artificial intelligence smoothly. In conclusion, this study finds that businesses that intentionally adopt AI technologies are more likely to be flexible and growing, particularly in a highly competitive digital economy.
KEYWORDS
Nowadays, artificial intelligence has become a very significant tool for business organizations to increase their efficiency and competitiveness. Organizations can survive for the long term on the basis of continuous research and development and by adopting innovations. Because innovation helps to organizations to enhance their performance, maintain better customer relationships and experience, and face the competition easily. Artificial intelligence is one of the innovative technologies that helps to organizations to be more competitive. Many tasks are done automatically with the help of AI, which increases efficiency and accuracy, decreases costs, and ensures work is completed on time without any delay. AI system collaborates with past and current information, which leads to more accurate predictions. Many organisations feel that artificial intelligence is a necessary part to make them more competitive and profitable. Because artificial intelligence assists organizations in automation, making better marketing strategies, business forecasting, and predictive analysis, optimum utilization of resources and cost reduction, digital transformation and global competitiveness, improving customer experiences, proper management of human resources, product development and innovation, fraud detection and risk management, proper supply chain management, and better decision making. Along with the benefits of adoption artificial intelligence in business operations, there are many challenges also like high cost of deployment and maintenance, shortage of skilled workforce, and technical expert, threats of data privacy and security, ethical and legal issues, oppose by employees and managers to technical changes, fear of layoff among employees, issues of cyber security, rapid technological changes, lack of awareness among the small businesses and regulatory issues. Small firms have less experience and funds to adopt artificial intelligence properly. So, they cannot get the full benefit of artificial intelligence and are less competitive than large business organisations. So, customers’ response is different towards the firms that use AI. This study concludes that artificial intelligence is a technology that provides a platform for firms to change the way they work, change the administrative structure, and stay sustainable. Organisations that change with time, become more innovative, adopt the technologies quickly, and use artificial intelligence properly over its challenges become more profitable, successful, and competitive.
1. Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press. 2. Bessen, J. (2019). AI and Jobs: The Role of Demand. National Bureau of Economic Research Working Paper. 3. Brynjolfsson, E., & McAfee, A. (2017). The Business of Artificial Intelligence. Harvard Business Review. 4. Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI Frontier: Modeling the Impact of AI on the World Economy. McKinsey Global Institute. 5. Chui, M., Manyika, J., & Miremadi, M. (2016). Where Machines Could Replace Humans—and Where They Can’t Yet. McKinsey Quarterly, 58–69. 6. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108–116. 7. Deloitte. (2021). State of AI in the Enterprise Survey. Deloitte Insights. 8. Dwivedi, Y. K., Hughes, L., Ismagilova, E., et al. (2021). Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 57, 101994. 9. Grover, P., Kar, A. K., & Dwivedi, Y. K. (2022). Understanding Artificial Intelligence Adoption in Operations Management: Insights from the Literature and Future Research Agenda. Annals of Operations Research, 308, 1–37. 10. Grover, P., Kar, A. K., & Dwivedi, Y. K. (2022). Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions. Annals of Operations Research, 308(1), 177-213.
Publication Date
6/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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