Design of the required tasks of industrial security experts based on job openings

Abstract

The Fourth Industrial Revolution has combined traditional industry with information and communication technology, leading to appearance of converged security risks. Although this problem is receiving substantial attention, the supply of industrial security experts is still low compared to demand and lacks occupational classification system which enables systematic education and manpower training system. This study presents occupation and basic tasks required for industrial security workforce. Occupations and occupational clusters are classified by adopting big data text mining technique—Latent Dirichlet Allocation topic modeling to analyze a massive dataset analyzed from job openings of industrial security field. Next, inter-coder reliability analysis was conducted to verify validity and reliability. Specifically, survey was further conducted for validity verification and factor analysis was performed for reliability verification.