A Competency Development Framework for Digital Workforce in Industrial Business Organizations

Thailand’s industrial sector faces rapid digital disruption and an escalating shortage of tech-skilled talent. In this study, we introduce a workforce competency framework grounded in the realities of Thai businesses, designed to close this skills gap and guide sector-wide digital readiness. We collected information from focus groups and surveyed 500 executive organizations to construct the framework. This approach allowed us to record strategic, operational realities. The framework's four main components are as follows: (1) Retraining employees for automation and AI integration; (2) Integrating Wisdom, which emphasizes customized training for generative AI and digital decision-making; (3) Organizational Support, which emphasizes the importance of infrastructure, leadership, and knowledge sharing; and (4) Collaboration Networks, encouraging cooperation and the sharing of knowledge between generations. The model's fit was validated by statistical analysis (χ² p-value = 0.132, CMIN/DF = 1.086, GFI = 0.948, RMSEA = 0.013), indicating that small, medium, and large businesses could use it. The framework's general applicability is demonstrated by the t-test results, which showed no statistically significant differences (p > 0.05) in competency priorities across business sizes. These findings deliver a strategic model for policymakers, educators, and business leaders striving to raise a digitally agile workforce.

Authors

Institutions

Publication Details

Journal
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
Published
2025-08-08
DOI
https://doi.org/10.37394/23207.2025.22.151
Citations
1
Primary Topic
Competency Development and Evaluation
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Competency Development Framework for Digital Workforce in Industrial Business Organizations

Thanin Silpcharu, Raknarin Sanrach, Nutthakorn Chalaemwongwan
1 citations
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
Competency Development and Evaluation
2.44
article

A Competency Development Framework for Digital Workforce in Industrial Business Organizations

Thanin Silpcharu, Raknarin Sanrach, Nutthakorn Chalaemwongwan
article en
1 citations

Abstract

Thailand’s industrial sector faces rapid digital disruption and an escalating shortage of tech-skilled talent. In this study, we introduce a workforce competency framework grounded in the realities of Thai businesses, designed to close this skills gap and guide sector-wide digital readiness. We collected information from focus groups and surveyed 500 executive organizations to construct the framework. This approach allowed us to record strategic, operational realities. The framework's four main components are as follows: (1) Retraining employees for automation and AI integration; (2) Integrating Wisdom, which emphasizes customized training for generative AI and digital decision-making; (3) Organizational Support, which emphasizes the importance of infrastructure, leadership, and knowledge sharing; and (4) Collaboration Networks, encouraging cooperation and the sharing of knowledge between generations. The model's fit was validated by statistical analysis (χ² p-value = 0.132, CMIN/DF = 1.086, GFI = 0.948, RMSEA = 0.013), indicating that small, medium, and large businesses could use it. The framework's general applicability is demonstrated by the t-test results, which showed no statistically significant differences (p > 0.05) in competency priorities across business sizes. These findings deliver a strategic model for policymakers, educators, and business leaders striving to raise a digitally agile workforce.

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICSVol. 22
King Mongkut's University of Technology North Bangkok (TH)
Openalex Percentile: Top 11%
Competency Development and Evaluation
2.44
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.