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The digital era has profoundly impacted India's banking sector, prompting both private and public sector banks to innovate and adapt. Public sector banks, pivotal in India’s financial system, face distinctive challenges in their digital transformation efforts. This study examines the digital transformation within Indian public sector banks, focusing on the current state of digital adoption, identifying key challenges, and exploring future growth opportunities. The emphasis on public sector banks is intentional due to their vital role in advancing financial inclusion and bolstering economic development. Utilizing a qualitative case study approach, the research collects primary data through interviews with bank officials and secondary data from official reports, industry publications, and academic sources. Statistical techniques, such as descriptive analysis and trend analysis, will be used to evaluate the impact of digital initiatives on operational efficiency, customer satisfaction, and overall performance. The analysis will reveal barriers to effective digital transformation and offer strategic recommendations for overcoming these obstacles. The findings will be highly relevant, as public sector banks strive to remain competitive in a digital economy, thus contributing significantly to the discourse on modernizing India's banking sector for future growth.
Keywords:
Banking Innovation, Digital Transformation, Financial Inclusion, Operational Efficiency, Public Sector Banks
Cite Article:
"Digital Transformation in Indian Public Sector Banks: Challenges, Opportunities, and Future Growth Prospects – A Case Study Approach", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b34-b43, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503105.pdf
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000396
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator