Optimizing Study-life Balance within Higher Education: A Comprehensive Literature Review

• 발행기관: 국제융합경영학회
• 저자명: Ryan HATCHER Yosung HWANG
• 간행물 정보: 『융합경영연구』Vol.8 No.2, 1~12쪽, 전체 12쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2020.06.30

영문 초록

Purpose: The rise of the phrase Work Life Balance was bought up in 1986 when amid many Americans there was prevalence of detrimental work place practices like neglecting families, leisure activities and friends in order to achieve their study place 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. Research design, data and methodology: Through this paper we will explore how students balance the competing demands of work, study, and social activities. Several factors have increased imbalances within Educational organizations, and technology specifically has been influential. However, technology also provides a novel solution to this organizational performance management issue. A Study-Life Optimization model (SLO) 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. Results: Outcomes include improved WLB, greater perceived quality of life, and increased Educational organizational performance. Conclusions: This paper contributes to the relevant literature as it pays attention to the various students’ of varying 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 helpful to the various stakeholders of a University, the curriculum designers, program coordinators etc.

목차

1. Introduction and literature review

2. Study-life optimization: Theoretical background

3. The SLO Model

4. The Role of Technology in Work-Life Balance

5. Study-life optimization

6. Data Collection

7. Ethical considerations

8. Conclusion

References

키워드

Study-life Optimization Big Data Analytics Higher Education