Modern e-learning for business support

Saied Ahmmad

Master's thesis

Abstract:

This thesis investigates the impact of contemporary e-learning technologies on workforce development, performance management, and organizational learning. This research utilizes a mixed-methods approach, integrating quantitative survey data from 170 individuals across diverse industries with qualitative analysis of four published organizational case studies (IBM, AT&T, Boeing, Jordanian commercial banks) in accordance with PRISMA standards. The quantitative aspect employs a cross-sectional survey to evaluate strategic alignment, workforce effects, implementation challenges, and technological preparedness, analyzed through descriptive and inferential statistics such as t-tests, correlation analysis, ANOVA, and multiple regression. The results indicate that 74.1% of employees perceive e-learning as positively influencing retention decisions, constituting the most significant impact dimension with a large effect size (d = 1.32). Engagement was identified as the most significant predictor of perceived company performance (β = 0.586, p < 0.001), with the regression model accounting for 93.9% of the variation (R² = 0.939). Time limits were recognized as the foremost impediment to efficacy, whilst technical challenges and content irrelevance were assessed well below neutral, suggesting that cultural limitations had eclipsed technology obstacles. The thesis offers four pragmatic recommendations, institutionalizing protected learning time, recontextualizing e-learning as a retention technique, resolving the strategic gap by explicit communication, and bridging the innovation gap through incremental technological adoption. This research improves comprehension of modern e-learning systems as strategically essential in swiftly changing business contexts.

Keywords

E-learning, Corporate Training, Workforce Development

Language used: English

Date on which the thesis was submitted / produced: 4. 4. 2026

Thesis defence

• Date of defence: 1. 6. 2026
• Supervisor: Ing. Petr Benda, Ph.D.
• Reader: Roman Havránek, externi

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme:
Informatics