A SCOPING REVIEW OF EMPLOYEE LEAVE MANAGEMENT SYSTEMS:TRENDS, TECHNOLOGIES, AND ORGANIZATIONAL IMPLICATIONS

Abstract

Employee Leave Management Systems (ELMS) have become essential tools in modern
organizations, enabling efficient monitoring, approval, and analysis of employee absences.
This scoping review synthesizes recent evidence on the design, technologies, and
organizational implications of ELMS between 2018 and 2025. Guided by the Arksey and
O’Malley (2005) and Joanna Briggs Institute (JBI) frameworks, a systematic search was
conducted across major databases including Scopus, IEEE Xplore, Science Direct, Emerald
Insight, and Google Scholar. A total of 48 studies met the inclusion criteria. The review
identified five major thematic areas: automation and digitalization in leave management,
integration with Human Resource Information Systems (HRIS) and payroll platforms, cloudbased and mobile-enabled ELMS, data security and compliance concerns, and artificial
intelligence (AI) and predictive analytics for workforce planning. Findings show that ELMS
adoption enhances organizational efficiency, transparency, and employee engagement, while
reducing administrative costs and human error. However, implementation challenges persist,
particularly in developing economies, due to infrastructural, interoperability, and digital
literacy constraints. The study concludes that ELMS represents a strategic enabler of digital
HR transformation, yet its success depends on strong leadership support, user readiness, and
robust data governance. Future research should focus on comparative evaluations, usercentric design, and the ethical dimensions of automation in human resource management.