Institutional Support for Talent Development: Employees' Insight in Community Colleges, Nepal

This study investigates institutional support for talent development in community colleges of Madhesh Pradesh, Nepal, focusing on employees’ insights and gender-based differences. Grounded in Human Capital Theory, the research explores how institutional practices affect employee insight of talent development. A descriptive and exploratory design was employed, drawing data from 205 teaching faculties using a structured questionnaire. Quantitative analyses, including regression and ANOVA, revealed a statistically significant model explaining variance in employee insights. Peer learning emerged as the strongest positive predictor, while recognition and reward systems showed a significant but negative relationship, indicating potential gaps between institutional efforts and employee expectations. Gender-based analysis revealed males aligned more with growth opportunities and recognition practices, whereas females favored peer learning and feedback mechanisms, with peer learning showing the most significant gender disparity. Other institutional practices such as workshop participation and inclusive work environments were found statistically insignificant, suggesting inadequacies in implementation. The study highlights the need for more inclusive, transparent, and evidence-based talent development strategies. It also identifies gaps in current practices and emphasizes the importance of peer learning and gender-responsive frameworks. Limitations include the study’s cross-sectional design, reliance on self-reported data, and exclusion of non-binary perspectives, underscoring the need for broader, more inclusive future research.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17184433
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Institutional Support for Talent Development: Employees' Insight in Community Colleges, Nepal

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Institutional Support for Talent Development: Employees' Insight in Community Colleges, Nepal

article en

Abstract

This study investigates institutional support for talent development in community colleges of Madhesh Pradesh, Nepal, focusing on employees’ insights and gender-based differences. Grounded in Human Capital Theory, the research explores how institutional practices affect employee insight of talent development. A descriptive and exploratory design was employed, drawing data from 205 teaching faculties using a structured questionnaire. Quantitative analyses, including regression and ANOVA, revealed a statistically significant model explaining variance in employee insights. Peer learning emerged as the strongest positive predictor, while recognition and reward systems showed a significant but negative relationship, indicating potential gaps between institutional efforts and employee expectations. Gender-based analysis revealed males aligned more with growth opportunities and recognition practices, whereas females favored peer learning and feedback mechanisms, with peer learning showing the most significant gender disparity. Other institutional practices such as workshop participation and inclusive work environments were found statistically insignificant, suggesting inadequacies in implementation. The study highlights the need for more inclusive, transparent, and evidence-based talent development strategies. It also identifies gaps in current practices and emphasizes the importance of peer learning and gender-responsive frameworks. Limitations include the study’s cross-sectional design, reliance on self-reported data, and exclusion of non-binary perspectives, underscoring the need for broader, more inclusive future research.

Zenodo (CERN European Organization for Nuclear Research)
Indira Gandhi Agricultural University (IN)
Reduced inequalities
Openalex Percentile: Top 29%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.