EXPLORING THE INFLUENCE OF ARTIFICAL INTELLIGENCE ON THE BUSINESS LANDSCAPE IN INDIA: AN IN-DEPTH ANALYSIS AND IMPLEMENTATION IN BANKING SECTORS
EXPLORING THE INFLUENCE OF ARTIFICAL INTELLIGENCE ON THE BUSINESS LANDSCAPE
DOI:
https://doi.org/10.61841/cibg.v30i2.2784Keywords:
AI chat-bots, customer interactions, socio-economic growthAbstract
The proposed research work explores the Influence of AI on the business landscape in India with an in-depth analysis & its implementation in few sectors. This research delves into the transformative impact of Artificial Intelligence (AI) on the business landscape in India, conducting a comprehensive and in-depth analysis. The study aims to unravel the multifaceted ways in which AI technologies are shaping the strategies, operations, and competitiveness of businesses across various sectors in the Indian economy. Through a combination of empirical research, case studies, and industry interviews, the research seeks to identify key trends, challenges, and opportunities arising from the integration of AI into business practices. The investigation spans diverse domains, including finance, healthcare, manufacturing, and services, aiming to capture the nuanced effects of these technologies on productivity, innovation, and overall business performance. Furthermore, the study explores the readiness of Indian businesses to adopt and implement AI solutions, examining the factors influencing successful integration and potential barriers hindering widespread adoption. As an integral part of the research, the study also emphasizes the practical aspects of implementation, providing insights into best practices and strategies for businesses aiming to leverage AI technologies effectively. By doing so, it contributes actionable recommendations to industry stakeholders, policymakers, and academia, fostering a more informed and strategic approach to navigating the evolving landscape of business in the era of AI. Ultimately, this research aspires to be a valuable resource for decision-makers, offering a holistic understanding of the current state and future trajectory of AI in the Indian business ecosystem. This research further investigates the impact of Artificial Intelligence (AI) on the service sector, a pivotal contributor to a country's socio-economic growth. With a focus on gathering primary data from AI-utilizing organizations and secondary information from researchers, the study aims to analyze and draw conclusions regarding the effects of AI on both productivity and customer satisfaction. As consumer expectations for enhanced and faster services persist, companies are adapting by integrating AI, making it crucial to understand the implications of this technological shift. In the proposed work, a service sector in the country is taken into consideration. The service sector significantly contributes to a country's socio-economic growth, driven by an increasing demand for better and faster services from consumers. To meet this demand, companies are continually innovating, and a notable shift in this sector involves the adoption of Artificial Intelligent Chatbots. These chatbots offer rapid responses at a minimal cost compared to human support, transforming customer interactions. While AI continues to evolve and is considered young by scientists, it has already proven efficient in replacing repetitive mundane tasks. This study aims to collect primary data from organizations utilizing AI chatbots and secondary information from researchers, with the goal of analyzing and concluding the impact of AI Chatbots on both productivity and customer satisfaction. To begin with, first a survey was conducted amongst 5 Asian countries (one amongst them being India) and the analysis was carried out, the results discussed and summarized. The future works plans to develop more business canvas models for the successful implementation of AI not only in banking sector, but also in a large no. of establishments.
Downloads
References
. Mugenda, O. M. and Mugenda, A. G. (1999). Research Methods: Quantitative and Qualitative Approaches. Nairobi: Acts Press.
. Artificial Intelligence Foundation (2007). The A. L. I. C. E. Artificial Intelligence Foundation.
. Dhiraj Jain , K. Sanal Nair and Vaishali Jain, Factors Affecting GDP (Manufacturing, Services, Industry): An Indian Perspective; ISSN 2348–0661 Print. © 2015 Symbiosis Centre for Management Studies, Pune Annual Research Journal of Symbiosis Centre for Management Studies, Pune Vol. 3, April 2015, pp. 38–56
. Home Care Services And Development Perspective – A Study On Customer Perception And Acceptability In The Urban Parts Of India Page 41
. Naresh K. Malhotra, Review of Marketing Research, ISBN 978-0-7656-2127-6
. Dr. H. A. C. Prasad and R. Sathish, Policy for India’s Services Sector, Working Paper No.1/2010-DEA
. Joseph francis J; Modeling the relationship between productivity use of technology and service quality among indian airline service providers.
. Ganesan, S ; A study on quality gaps in service industry.
. Majra Hufrish; Antecedents of Customer Experience in India A Study of the Airline Industry.
. Gayatri: An analysis of the performance of services sector in India.
. Toby Walsh; Machines That Think book.
. Mugenda, O. M. and Mugenda, A. G. (1999). Research Methods: Quantitative and Qualitative Approaches. Nairobi: Acts Press.
. Artificial Intelligence Foundation (2007). The A. L. I. C. E. Artificial Intelligence Foundation.
. Dhiraj Jain , K. Sanal Nair and Vaishali Jain, Factors Affecting GDP (Manufacturing, Services, Industry): An Indian Perspective; ISSN 2348–0661 Print. © 2015 Symbiosis Centre for Management Studies, Pune Annual Research Journal of Symbiosis Centre for Management Studies, Pune Vol. 3, April 2015, pp. 38–56
. Home Care Services And Development Perspective – A Study On Customer Perception And Acceptability In The Urban Parts Of India Page 41
. Naresh K. Malhotra, Review of Marketing Research, ISBN 978-0-7656-2127-6
. Dr. H. A. C. Prasad and R. Sathish, Policy for India’s Services Sector, Working Paper No.1/2010-DEA
. Joseph francis J; Modeling the relationship between productivity use of technology and service quality among indian airline service providers.
. Ganesan, S ; A study on quality gaps in service industry.
. Majra Hufrish; Antecedents of Customer Experience in India A Study of the Airline Industry.
. Gayatri: An analysis of the performance of services sector in India.
. Toby Walsh; Machines That Think book.
. Bhushan, S. (2021), "The impact of artificial intelligence on the global economy and its implications for the hospitality sector in india", worldwide hospitality and tourism themes, vol. 13 no. 2, pp. 252-259.
. Hammer, A. And Karmakar, S. (2021), "Automation, ai and the future of work in india", employee relations, vol. ahead-of-print no. ahead-of-print.
. Satheesh, M. K., & Nagaraj, S. (2021). Applications of artificial intelligence on customer experience and service quality of the banking sector. international management review, 17(1), 9-17,86.
. Computer, E. (2018). the impact of artificial intelligence on major industries.
. Wu, D.D., & Olson, D.L. 2020. The effect of COVID-19 on the banking sector. In Pandemic risk management in operations and finance (pp. 89–99). Springer, Cham.
. Schoen, S. (1988). the issues, benefits, and risks of implementing artificial intelligence: when properly applied, ai technology can offer important advantages. but many issues must be tackled on the way to a successful implementation. features and status of artificial intelligence, national productivity review (1986-1998), 7(3), 246.
. Ai - Artificial Intelligence market to reach usd 266.92 billion by 2027; increasing ai technology users to spur market growth: fortune business insights™: top players in the global artificial intelligence market are alphabet (google llc), apple inc., baidu inc., ibm corporation, ipsoft inc., microsoft corporation, microstrategy, inc., nvidia corporation, qlik technologies inc., verint systems inc., sap se. (2021, may 07).
. Nasdaq omx's news release distribution channel.
. Sanjeev Verma, Ranjan Chaudhuri, September - December 2009 vol. 5 issue 2
. Wu, Yanrui. "Service sector growth in china and india: a comparison." china: an international journal, vol. 5 no. 1, 2007, p. 137-154.
. Noreen, Umara, Attayah Shafique, Zaheer Ahmed, and Muhammad Ashfaq, “Banking 4.0: Artificial Intelligence (AI) in Banking Industry & Consumer’s Perspective”, MDPI’s Journal of Sustainability, Vol. 15, No. 4, pp. 3682, 2023.
. H. Chen, "Business and Market Intelligence 2.0, Part 2," in IEEE Intelligent Systems, vol. 25, no. 2, pp. 74-82, March-April 2010, doi: 10.1109/MIS.2010.43.
. Kaur, N. and Sirohi, R. (2013). Effect of Rupee Depreciation on Common Man. International Journal of Scientific and Research Publications, 3(10).
. Jewandah, S. (2018). How Artificial Intelligence is changing the banking sector –A case study of top four Commercial Indian Banks. International Journal of Management, Technology and Engineering. Retrieved from
. Thim, C.K., & Seah, E. (2010). Optimizing portfolio construction using artificial intelligence. 5th International Conference on Computer Sciences and Convergence Information Technology, 338-343.
. Mukul Anand Pathak, Kshitij Kamlakar, Shwetant Mohapatra, Prof. Uma Nagaraj, (2016) Development of Control Software for Stair Detection n A Mobile Robot Using Artificial Intelligence and Image Processing, International Journal of Computer Engineering and Technology, 7(3), pp. 93–98
. T. Dhanabalan, A. Sathish, (2018) Transforming Indian Industries Through Artificial Intelligence and Robotics in Industry 4.0., International Journal of Mechanical Engineering and Technology, 9(10), pp. 835–845.
. Sreekanth Reddy Kallem, (2013) Artificial Intelligence in the Movement of Mobile Agent (Robotic), International Journal of Computer Engineering and Technology, 4(6), pp. 394– 402
. Fares, O.H., Butt, I. & Lee, S.H.M. Utilization of artificial intelligence in the banking sector: a systematic literature review. J Financ Serv Mark 28, 835–852 (2023).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Anupama Reddy, PadmalathaYou are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.