earticle

논문검색

IT Marketing and Policy

A Study on Zero Pay Image Recognition Using Big Data Analysis

초록

영어

The 2018 Seoul Zero Pay is a policy actively promoted by the government as an economic stimulus package for small business owners and the self-employed who are experiencing economic depression due to COVID-19. However, the controversy over the effectiveness of Zero Pay continues even after two years have passed since the implementation of the policy. Zero Pay is a joint QR code mobile payment service introduced by the government, Seoul city, financial companies, and private simple payment providers to reduce the burden of card merchant fees for small business owners and self-employed people who are experiencing economic difficulties due to the economic downturn. , it was attempted in the direction of economic revitalization for the return of alleyways[1].Therefore, this study intends to draw implications for improvement measures so that the ongoing zero-pay can be further activated and the economy can be settled normally. The analysis results of this study are as follows. First, it shows the effect of increasing the income of small business owners by inducing consumption in alleyways through the economic revitalization policy of Zero Pay. Second, the issuance and distribution of Zero Pay helps to revitalize the local economy and contribute to the establishment of a virtuous cycle system. Third, stable operation is being realized by the introduction of blockchain technology to the Zero Pay platform. In terms of academic significance, the direction of Zero Pay's policies and systems was able to identify changes in the use of Zero Pay through big data analysis. The implementation of the zero-pay policy is in its infancy, and there are limitations in factors for examining the consumer image perception of zero-pay as there are insufficient prior studies. Therefore, continuous follow-up research on Zero Pay should be conducted.

목차

Abstract
1. INTRODUCTION
2. THEORETICAL BACKGROUND
2.1 Zero pay
2.2 Big data
3. Research Methods and Research Tools
3.2 Zero Pay's Problem
3.3 Zero Pay Improvement Plan
4. CONCLUSION
REFERENCES

저자정보

  • Myung-He Kim Dept. of Immersive Content Convergence, Kwangwoon University, Korea
  • Ki-Hwan Ryu Professor, Kwangwoon University, Graduate School of Smart Convergence, Institute of Tourism Industry, Seoul, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,300원

      0개의 논문이 장바구니에 담겼습니다.