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

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
국제융합경영학회 The Journals of Economics, Marketing & Management The Journals of Economics, Marketing & Management 제8권 제2호
발행연도
2020.1
수록면
1 - 12 (12page)

이용수

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

초록· 키워드

오류제보하기
The rise of the phrase Work Life balance as bought up in 1986 when amid many Americans there was prevelance of detrimental work place practices like neglecting families, leisure activities and friends in order to achieve their study goals. The significance of work-life balance has been gaining ground in recent years to grasp a wider range of groups, including students. Searching and finding a balance can be complex and challenging for many individuals and students. Through this paper we will explore how students balance the competitng demands of work, study, and social activities. Several factors have increased imbalances within Educational oganisations, and technology specifically has been influential. However, technology also provides a novel solution to this organisational performance management issue. A Study-Life-Optimization (SLO) model is suggested, which incorporates information systems, analytics and decision support into a Smart Service System. A general framework for this model, detailing data collection, measurement and ethical issues is explained briefly. Outcomes included improved SLB, greater perceived quality of life, and increased Educational organisational performance. This paper contributes to the relevant literature as it pays attention to the various students' of varyling lifestyles school-work personal lives. Findings of this study will provide a meaningful of the work/School-life balance issues faced by students. The research could be useful to the various stakeholders of a University, the curriculum designers, program coordinators etc.

목차

등록된 정보가 없습니다.

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