Advances in Consumer Research
Issue 3 : 581-589
Original Article
From Cash to Code: Exploring the Disruptive Architecture of Digital Currency in India’s Financial Ecosystem
 ,
 ,
 ,
1
Assistant Professor, Department of Commerce, SRM Institute of Science and Technology, Kattankulathur Campus, Tamil Nadu, India.
2
Assistant Professor, Dept of CS & AF, SRM Institute of Science and Technology, Kattankulathur Campus, Tamil Nadu, India
Abstract

In recent years, non-cash transactions worldwide have witnessed significant growth, leading to the rapid rise and global recognition of digital currencies in the business sector. The outbreak of COVID-19 in 2019 has further fueled the expansion of digital currencies, amplifying the impact of monetary policy and exposing vulnerabilities in the financial system. Consequently, this situation has raised concerns regarding the regulatory framework and cyber safety. Technological progress has played a pivotal role in offering diverse rapid and electronic payment mechanisms for routine transactions. This has led policymakers to contemplate the involvement of the public sector in furnishing a digital payment mechanism suitable for the contemporary economy. The focal point of this research is to augment our comprehension of central bank digital currencies (CBDCs) in a comprehensive manner, coupled with identifying the optimal attributes for the digital rupee. The article explores the historical and current challenges faced by Indian customers in adopting digital currencies, assesses the positive and negative aspects of their influence and development, and presents specific recommendations for improvement.

 

Keywords
Recommended Articles
Original Article
Metaemotions and Consumer Decision Making in Petcare : A Meta-Care Framework for Human Centred Conversational AI
Original Article
Generative AI Adoption under Academic Stress: Examining Psychological Well-Being among PGDM Students in Bangalore
Original Article
Emerging Trends in Graph-Based Network Science: A Critical Review of Algorithms, Artificial Intelligence and Complex Network Applications
Original Article
Mapping the Evolution of Stock Market Prediction Research Using Artificial Intelligence and Machine Learning: A Bibliometric and Systematic Review (2020–2026)
...
Loading Image...
Volume 3, Issue 3
Citations
803 Views
436 Downloads
Share this article
© Copyright Advances in Consumer Research