메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Hui Shan Lee (Universiti Tunku Abdul Rahman) Kee Seng Kuang (Universiti Tunku Abdul Rahman) Ping Xin Liew (Universiti Tunku Abdul Rahman) Annuar Md Nassir (Xiamen University Malaysia) Nazrul Hisyam Ab Razak (Universiti Putra Malaysia)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2023
발행연도
2023.10
수록면
981 - 985 (5page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Financial inclusion is one of the means by which Malaysians may realize the Shared Prosperity Vision 2030. Conventional insurance or Islamic insurance (Takaful) could play a vital role in enhancing socioeconomic results in a country with a Muslim majority. However, the restricted adoption of insurance products poses a challenge to the expansion of financial inclusion in Malaysia. To surmount this, a robust model that accurately forecasts the determinants of insurance adoption is imperative. This research harnesses the power of machine learning models to predict insurance uptake in Malaysia, using the Global Findex 2021 Database as a foundation. The decision tree model with data training displayed the best precision and accuracy. The most important elements in forecasting insurance uptake as extracted from the random forest model were income, employment status and education. Furthermore, the main barrier to financial inclusion is the lack of documentation. The findings suggest there is an opportunity for Takaful players to engage with the government to develop Takaful products to cater to lower-income and unemployed populations. In addition, the government should play a critical role in promoting financial literacy and encouraging financial digitalization in ensuring everyone is more financially savvy moving Malaysia towards a financially inclusive society. The application of machine learning techniques within Malaysia’s unique financial inclusion landscape constitutes a noteworthy contribution. This study yields insights that can inform strategic policy formulations and industry practices.

목차

Abstract
1. INTRODUCTION
2. LITERATURE REVIEW
3. DATA AND METHODOLOGY
4. RESULTS AND DATA ANALYSIS
5. CONCLUSIONS
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-151-24-02-088265234