The study of requirements for the workforce of the digital industries using web scraping techniques

Rachawit Tipsena, Wirapong Chansanam*, Kulthida Tuamsuk, Tossapon Boongoen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigates workforce requirements in Thailand’s digital industries, focusing on qualification requirements across five industry groups: hardware and smart devices, software and software services, digital service, digital content, and telecommunication. Employing Python-based web scraping from selected job websites during 2022-2023, the data undergoes natural language processing (NLP) for analysis. Within Group 1 (hardware and smart devices), electrical engineers dominate with 92 positions, emphasizing a demand for engineering expertise. Group 2 (software and software services) sees a surge in programmer roles, totaling 244 positions, showcasing a need for robust programming skills. Group 3 (digital service) prioritizes information technology (IT) support, claiming 354 positions, indicating high demand for IT support qualifications. Graphic design leads Group 4 (digital content) with 587 positions, highlighting the need for a workforce in digital content production. In Group 5 (telecommunication), network engineers dominate with 37 positions, signaling a demand for top-tier network engineering skills. Most positions across groups specify a bachelor’s degree and often require prior experience, highlighting the industry’s preference for both academic and practical qualifications. This study underscores the digital industry’s rapid growth and the sustained demand for a qualified workforce, emphasizing the importance of academic credentials and specialized skills for future employment in these sectors.

Original languageEnglish
Pages (from-to)860-877
Number of pages18
JournalInternational Journal of Advances in Applied Sciences
Volume13
Issue number4
DOIs
Publication statusPublished - 31 Dec 2024

Keywords

  • Digital industries
  • Natural language processing
  • Requirements
  • Web scraping
  • Workforce

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