Open Access Open Access  Restricted Access Subscription Access

Cashless Transaction Myths and Reality in the Indian Economy:A Case Study


Affiliations
1 Research Scholar, Centre for Computer Studies, Dibrugarh University, Dibrugarh, India

   Subscribe/Renew Journal


Objectives: This paper discusses the general overview of cashless transactions using digital payment systems. It Includes highlights of the impact of demonetisation on non-cash mode of payments.

Methods: The method aims at classifying the modes of payments and providing a definition of the concept and how data mining can be used to gain insight from this huge amount of data and  to enhance the performance of some of the core business processes in the banking sector.

Findings: Adoption of digital payment system in accordance with cashless transactions appears to have facilitated a reduction in the usage of paper-based mode and increasing electronic modes of payment. This in turn increases the quantity of data in the various repositories(databases). Data mining techniques can be used to gain insight of these data.

Application/Improvements: The study highlights the usage of cashless modes and how it can take individuals as well as economies a step forward.


Keywords

Cashless, Data Mining, Demonetisation, Digital Payment

No Classification

January 12, 2018; revised February 28, 2018; accepted February 14, 2018; Date of publication: March 6, 2018.

User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 209

PDF Views: 0




  • Cashless Transaction Myths and Reality in the Indian Economy:A Case Study

Abstract Views: 209  |  PDF Views: 0

Authors

Munmi Borthakur
Research Scholar, Centre for Computer Studies, Dibrugarh University, Dibrugarh, India

Abstract


Objectives: This paper discusses the general overview of cashless transactions using digital payment systems. It Includes highlights of the impact of demonetisation on non-cash mode of payments.

Methods: The method aims at classifying the modes of payments and providing a definition of the concept and how data mining can be used to gain insight from this huge amount of data and  to enhance the performance of some of the core business processes in the banking sector.

Findings: Adoption of digital payment system in accordance with cashless transactions appears to have facilitated a reduction in the usage of paper-based mode and increasing electronic modes of payment. This in turn increases the quantity of data in the various repositories(databases). Data mining techniques can be used to gain insight of these data.

Application/Improvements: The study highlights the usage of cashless modes and how it can take individuals as well as economies a step forward.


Keywords


Cashless, Data Mining, Demonetisation, Digital Payment

No Classification

January 12, 2018; revised February 28, 2018; accepted February 14, 2018; Date of publication: March 6, 2018.




DOI: https://doi.org/10.17010/ijcs%2F2018%2Fv3%2Fi2%2F123216