Factors of Organizational Management and IT Capability Affecting Logistics Workforce Competencies in Pathum Thani

Authors

  • Montinee Treesorn Lecturer from the Faculty of Business Administration North Bangkok University

Keywords:

Organizational Management, Information Technology Capability, Workforce Competency

Abstract

This research consists purposes were 1. to examine the levels of organizational management and information technology capabilities of logistics organizations in Pathum Thani Province and 2. to analyze the influence of organizational management and information technology capabilities on the performance competencies of logistics workers in Pathum Thani Province. This study employed a quantitative research approach. The research instrument was a questionnaire administered to a sample of 384 respondents, determined at a 95% confidence level using stratified random sampling. The data collected from the questionnaires were analyzed using descriptive statistics, including percentage, mean and standard deviation, as well as multiple regression analysis. The findings revealed that 1) The level of organizational management and information technology capabilities of logistics organizations in Pathum Thani Province was found to be high overall (x̅ = 4.12, S.D. = 0.58). This indicates that logistics organizations in the area demonstrate a relatively high level of organizational management and the adoption of information technology, as well as strong readiness to adapt to the digital era and 2) The influence of organizational management and information technology capabilities on the competencies of logistics workers in Pathum Thani Province revealed that the four independent variables logistics and digital knowledge (X1), work and technology utilization skills (X2), individual characteristics (X3), and the ability to work with technology (X4) were able to jointly explain 64.2% of the variance in the dependent variable (R² = 0.642). After adjustment for error, the Adjusted R² value was 0.631, indicating that the model demonstrated a good level of explanatory power for the dependent variable. Furthermore, the model fit test using the F-statistic showed that the model was statistically significant (F = 128.75, Sig. = 0.000), reflecting that at least one independent variable significantly influenced the dependent variable at the 0.05 level of statistical significance.

Author Biography

Montinee Treesorn, Lecturer from the Faculty of Business Administration North Bangkok University

Lecturer from the Faculty of Business Administration North Bangkok University

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Published

2026-06-03