- E-ISSN2288-7709
- KCI
13권 4호
초록
Abstract
Purpose: This paper aims to explore why Nepal remains an exception to the global trend of converging labor relations in the post-globalization era. Despite increasing technological advancement, global integration and firm-level competition, Nepal maintains traditional, politicized labor practices. A structured comparison with South Korea, a country that has undergone notable labor reform, helps illuminate this divergence. Methodology: Using a cross-national qualitative comparative framework, this study examines the strategic and institutional differences in policy-related indicators of labor relations in Nepal and South Korea. Data sources include country-specific labor statistics, union structures, and relevant secondary literature. Results: The analysis reveals that South Korea has experienced significant institutional convergence and labor market flexibility through reforms. In contrast, Nepal continues to exhibit deep-rooted politicized unionism and traditional employment relations, resisting broader global convergence trends. Conclusion: The findings suggest that Nepal's resistance to global convergence in labor relations is largely influenced by its domestic political economy and institutional inertia, highlighting the importance of internal structural and political factors in shaping national labor systems. Nepal is swimming upstream against global trends, and we hope concerned authorities take notice for policy intervention.
초록
Abstract
Purpose: Over the last several years, commercial districts have become increasingly popular with heavy consumer traffic, location near infrastructure, and any possible capital gain. This study explores how big data-driven spatial analyses can optimize commercial real estate investment by focusing on changeable urban environments. Research design, data and methodology: This study uses a systematic literature review using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. PRISMA provides an effective outline to enhance transparency and reproducibility of systematic reviews and could be applied to synthesize interdisciplinary topics including big data, GIS, and real estate analytics. Results: The outcomes of this research support the advancement in the impact of big data technologies, spatial analytics, and AI in current state-of-the-art strategies in real estate investment. As an investor and urban planner, I believe this indicates a change in plan to evidence-based adoption of decisions based on real-time and spatially rich data. Conclusions: This study concludes that future developments can be made in either improving the AI-based investment models to be explainable or extending the spatial data, where open-data partnerships can help. There should also be a study to implement cross-sector integration strategies to correlate real estate technology with the transportation, energy, and public infrastructure systems.
