Systematic literature review: an analysis of skill mismatch measurement
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 me...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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European Proceedings
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/26539/ http://umpir.ump.edu.my/id/eprint/26539/1/ISEBA2022F034%2026122022.docx http://umpir.ump.edu.my/id/eprint/26539/3/Systematic%20literature%20review%20an%20analysis%20of%20skill%20mismatch%20measurement.pdf |
| _version_ | 1848822559178489856 |
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| author | Saad, Zuria Akmal Abdul Rahman, Hamirahanim Hussain, Suhaidah Hassan, Hazlin |
| author_facet | Saad, Zuria Akmal Abdul Rahman, Hamirahanim Hussain, Suhaidah Hassan, Hazlin |
| author_sort | Saad, Zuria Akmal |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-15T02:43:10Z |
| format | Conference or Workshop Item |
| id | ump-26539 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T02:43:10Z |
| publishDate | 2023 |
| publisher | European Proceedings |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-265392023-12-08T07:00:06Z http://umpir.ump.edu.my/id/eprint/26539/ Systematic literature review: an analysis of skill mismatch measurement Saad, Zuria Akmal Abdul Rahman, Hamirahanim Hussain, Suhaidah Hassan, Hazlin H Social Sciences (General) HD28 Management. Industrial Management 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 European Proceedings 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26539/1/ISEBA2022F034%2026122022.docx pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/26539/3/Systematic%20literature%20review%20an%20analysis%20of%20skill%20mismatch%20measurement.pdf Saad, Zuria Akmal and Abdul Rahman, Hamirahanim and Hussain, Suhaidah and Hassan, Hazlin (2023) Systematic literature review: an analysis of skill mismatch measurement. In: European Proceedings of Finance and Economics: International Symposium & Exhibition on Business and Accounting 2022 , 28 September 28 2022 , Bandar Muadzam Shah, Malaysia. pp. 391-408., 1. ISBN 978-1-80296-963-4 (Published) https://doi.org/10.15405/epfe.23081.34 |
| spellingShingle | H Social Sciences (General) HD28 Management. Industrial Management Saad, Zuria Akmal Abdul Rahman, Hamirahanim Hussain, Suhaidah Hassan, Hazlin Systematic literature review: an analysis of skill mismatch measurement |
| title | Systematic literature review: an analysis of skill mismatch measurement |
| title_full | Systematic literature review: an analysis of skill mismatch measurement |
| title_fullStr | Systematic literature review: an analysis of skill mismatch measurement |
| title_full_unstemmed | Systematic literature review: an analysis of skill mismatch measurement |
| title_short | Systematic literature review: an analysis of skill mismatch measurement |
| title_sort | systematic literature review: an analysis of skill mismatch measurement |
| topic | H Social Sciences (General) HD28 Management. Industrial Management |
| url | http://umpir.ump.edu.my/id/eprint/26539/ http://umpir.ump.edu.my/id/eprint/26539/ http://umpir.ump.edu.my/id/eprint/26539/1/ISEBA2022F034%2026122022.docx http://umpir.ump.edu.my/id/eprint/26539/3/Systematic%20literature%20review%20an%20analysis%20of%20skill%20mismatch%20measurement.pdf |