Assessing the impact of technological change on similar occupations: Implications for employment alternatives.

ABSTRACT:

Background

The fast-changing labor market highlights the need for an in-depth understanding of occupational mobility impacted by technological change. However, we lack a multidimensional classification scheme that considers similarities of occupations comprehensively, which prevents us from predicting employment trends and mobility across occupations. This study fills the gap by examining employment trends based on similarities between occupations.

Method

We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. We used the Principal Component Analysis to categorize occupations in the Standard Occupational Classification, which is grouped into a four-level

SUBMITTER: Torosyan K 

PROVIDER: S-EPMC10506722 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature