Assessing the Dynamics of AI Driven Technologies in Indian Banking and Financial Sector

Author:

Deepthi. B 1ORCID,Gupta Priya1ORCID,Rai Pratibha2ORCID,Arora Himanshu3

Affiliation:

1. Atal Bihari Vajpayee school of Management and Entrepreneurship, Jawaharlal Nehru University, New Delhi, India

2. Maharaja Agrasen college, University of Delhi, Delhi, India

3. Delhi School of Economics, University of Delhi, Delhi, India

Abstract

Providing quality customer service is one of the crucial matters of concern for any organization as it ensures the best customer satisfaction levels. Organizations all around the globe are widely using newly evolving technologies like artificial intelligence (AI) and machine learning applications to provide the best customer experience. The banking and financial services industry is on the front line to adopt AI-driven technologies in various departments worldwide. However, the adoption rate of these technologies is low in India in comparison with developed economies. In this article, we discussed the significance of various factors (customer satisfaction, AI knowledge among employees, and third-party tie-ups) on implementing the AI-driven technologies from employees’ perspectives at various levels of the organization. We analysed the usefulness of these newly evolving technologies to increase customer satisfaction and studied the role of crucial factors like data security issues and third-party tie-ups on AI technology implementation. The study is based on the primary data collected from 97 employees working in the Indian banking and financial sector across various metro cities of India (Hyderabad, Mumbai, Delhi) in various departments. We identified and analysed various factors that could impact the implementation of the AI-driven technologies at various departments, and we used logistic regression to investigate their significance. Chi-square test was used to check the associations between different factors. The study identifies and examines three key factors—customer satisfaction, AI knowledge among employees, and third-party tie-ups—that could impact AI-driven technologies implementation. According to this study, AI technology considerably decreases the cost and improves the customer experience of services. However, despite of many advantages the adoption rate of AI technology in the Indian banking and financial sector found extremely low. The implications of this study can be extended to the organizations for 360 degrees comprehensive understanding about the AI implementation and repercussions as there is a limited study about this topic from the bottom of the organizational verticals. This analysis is purely based on survey responses received from banking and financial sector employees across various metro cities of India (Hyderabad, Mumbai and Delhi).

Publisher

SAGE Publications

Subject

Strategy and Management,Business and International Management

Reference54 articles.

1. Balakrishna D. R. (2020). Banking on AI: The time is ripe for Indian banks to embrace artificial intelligence. The Financial Express. https://www.financialexpress.com/opinion/banking-on-ai-the-time-is-ripe-for-indian-banks-to-embrace-artificial-intelligence/2017963/

2. Baruah A. (2020). AI applications in the top 4 Indian banks. Emerj. https://emerj.com/ai-sector-overviews/ai-applications-in-the-top-4-indian-banks/

3. Logistic Regression for Dependent Binary Observations

4. Chawla V. (2020). Top credit scoring startups in India that use AI. Analytics India Magazine. https://analyticsindiamag.com/top-credit-scoring-startups-in-india-that-use-ai/

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