Systematic Literature Review: An Analysis of Skill Mismatch Measurement

Abstract

The rapid growth of technology in the era of Industry 4.0 has caused the dynamic labor market to grow faster than ever before. This resulted in a mismatch between the jobs offered and the skills required. Thus, it raised the number of unemployability. The objective of this paper is to analyze the measurement of skill mismatch. Shortcomings and flaws in previous measurement methods and a broad definition of skill mismatch hindered the issues to be solved. The introduction of online job analysis has been seen as increasingly more valuable in measuring labor market conditions. Overcoming the issues such as cost, time lag, and biases, this measurement has been seen to be the new trend among scholars to shed the light on skill mismatch measurement. This paper analyzed 402 papers on online job data (vacancy, advertisement, portal) published from 2017 to 2022 from Scopus and Web of Science databases. Preferred Reporting Items for Systematic Review & Meta-Analyses (PRISMA) were used for this study. After the inclusion and exclusion criteria, ten papers from Scopus and five papers from the Web of Science database that matched with the criteria objective have been selected. Therefore, the study found that analyzing online job data is the new trend to be used in improving the labor market with more of the data could be used for the improvement to the previous method of measuring the skill mismatch problem.

Measuring Signal of Skill Mismatch from Online Job Advertisements and HR Roles: A conceptual paper

“…Thus, this study has adopted the suggestion from Cárdenas Rubio's (2020) literature to explore both sides' demands from the labour market, which online job portals and employer requirements focus on the HR perspectives. This study extends Saad et al (2023) review of skill mismatch. The study systematically reviews the literature on skill mismatch measurement from 2017 to 2021, which suggests that online job advertisements could be a source of identifying signals of skill mismatch.…”

“…The proposed framework has been developed by reviewing current theoretical and empirical literature. For the variable of online job advertisement, a systematic literature review was conducted to understand previous methods of measuring skill mismatch, as seen in a study by Saad et al (2023). The list of all the measurements used has been provided in Figure 2.0 above.…”