Earticle

초록

영어

The COVID-19 pandemic has accelerated changes in work systems and types of employment globally, and a new working environment has emerged where diverse generations of the workforce coexist due to changing demographic structures. This study aims to develop and evaluate a tailored incentive system that fosters sustainable management specifically for IT-related startups. Considering the negative impacts of traditional performance-based incentives on employee satisfaction and productivity, this research proposes incentive plans suitable for various working conditions and age groups of job seekers. The study plans to collect data through literature reviews, surveys, and analysis of companies' hiring activities and workers' job-seeking activities online, utilizing machine learning for analysis. By presenting a strategic and individualized approach, this research seeks to explore ways to promote sustainable growth within organizations.

목차

I. 서론
1.1 연구배경
1.2 연구문제
1.3 연구목적
II. 선행연구 및 가설설정
2.1 인센티브 시스템에 관한 연구
2.2 다양한 인센티브 시스템과 세대 상호 간특성분석에 관한 연구
III. 연구설계
3.1 분석 대상
3.2 데이터 전처리
3.3 머신러닝 방법론
IV. 연구모형 평가 및 선택
4.1. 예측모형 성과 검증 지표
4.2. 예측모형 검정력 평가
V. 기대되는 결과 및 시사점
References

저자

• 문인화 [ 전남대학교 경영학과 박사과정 ]
• 윤현식 [ 전남대학교 경영학과 교수 ]

참고문헌