Prioritizing Factors Influencing Gig Worker Upskilling Through E-Learning Platforms: A Hybrid AHP-TOPSIS Approach

The gig economy, driven by digital platforms, has transformed the labor market, emphasizing the need for gig workers to upskill and remain competitive. This study evaluates five e-learning alternatives—Self-Paced Online Courses, Microlearning Modules, Live Virtual Classes, Gamified E-Learning Platforms, and Blended Learning—using a hybrid AHP- TOPSIS approach. Criteria such as Relevance to Gig Work, Accessibility, Cost-Effectiveness, Certification Recognition, and Learner Engagement were prioritized to identify the most effective solutions. Gamified E-Learning Platforms ranked highest, followed by Microlearning Modules for their flexibility and focused content. These findings highlight the importance of accessible and engaging e-learning solutions for gig workers. Practical recommendations are offered for gig workers, developers, and policymakers to enhance e-learning accessibility, relevance, and impact. This study underscores the role of e-learning in empowering gig workers and fostering sustainable growth in the gig economy.

Authors

Institutions

Publication Details

Published
2025-04-26
DOI
https://doi.org/10.1109/ic4e65071.2025.11075393
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prioritizing Factors Influencing Gig Worker Upskilling Through E-Learning Platforms: A Hybrid AHP-TOPSIS Approach

Ma. Kathleen L. Duran, Klint Allen A. Mariñas, Kent Patrick G. Ferraro, Jacob O. Sabido et al.
Digital Economy and Work Transformation
article

Prioritizing Factors Influencing Gig Worker Upskilling Through E-Learning Platforms: A Hybrid AHP-TOPSIS Approach

Ma. Kathleen L. Duran, Klint Allen A. Mariñas, Kent Patrick G. Ferraro, Jacob O. Sabido, Jomar M. Llanto, Neil Cedric F. Awitan, Eden Gay M. Deabanico, Joseph Carlo D. Labampa
article en

Abstract

The gig economy, driven by digital platforms, has transformed the labor market, emphasizing the need for gig workers to upskill and remain competitive. This study evaluates five e-learning alternatives—Self-Paced Online Courses, Microlearning Modules, Live Virtual Classes, Gamified E-Learning Platforms, and Blended Learning—using a hybrid AHP- TOPSIS approach. Criteria such as Relevance to Gig Work, Accessibility, Cost-Effectiveness, Certification Recognition, and Learner Engagement were prioritized to identify the most effective solutions. Gamified E-Learning Platforms ranked highest, followed by Microlearning Modules for their flexibility and focused content. These findings highlight the importance of accessible and engaging e-learning solutions for gig workers. Practical recommendations are offered for gig workers, developers, and policymakers to enhance e-learning accessibility, relevance, and impact. This study underscores the role of e-learning in empowering gig workers and fostering sustainable growth in the gig economy.

Mapúa University (PH), National University (PH)
Decent work and economic growth
Openalex Percentile: Top 76%
Digital Economy and Work Transformation
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.