A COMPUTATIONAL FRAMEWORK FOR IMPLEMENTATION OF E-GOVERNANCE IN DEVELOPING COUNTRIES: AN ANALYTICAL CASE STUDY OF NEPAL

This study addresses the persistent challenges in implementing e-governance in developing countries, with a focus on Nepal where infrastructural limitations, institutional fragmentation, and low digital literacy continue to hinder effective adoption. The research aims to identify key determinants influencing e-governance implementation and to propose a computational framework that integrates technological, institutional, and human dimensions. Using a quantitative survey of 250 respondents across Nepal’s seven provinces, the study applies multiple regression analysis to examine relationships among critical factors. The findings reveal that institutional support [β = .35, p < .001] and digital literacy [β = .29, p < .001] are the most significant predictors, explaining 63% of the variance in adoption [R² = .63]. Based on these insights, a four-layer computational framework is proposed. The study concludes that effective e-governance implementation requires coordinated institutional reforms, enhanced digital capacity, and inclusive infrastructure development. The findings contribute both theoretically and practically by offering a scalable model for developing nations.