Determinants of skill stability in the workforce among countries
The stability of skills in a workforce is influenced by a range of determinants that can either promote or hinder the ability of employees to maintain and adapt their skills over time. From the 37 country members of the Organization for Economic Cooperation and Development (OECD), the top 15 countri...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE
2024-10-01
|
| Series: | Ho Chi Minh City Open University Journal of Science - Social Sciences |
| Subjects: | |
| Online Access: | https://journalofscience.ou.edu.vn/index.php/soci-en/article/view/3268 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849767728774119424 |
|---|---|
| author | Edgermi Gerasta Gingoyon Ivy Joy M. Omlang Angeline Mag-aso Pogoy |
| author_facet | Edgermi Gerasta Gingoyon Ivy Joy M. Omlang Angeline Mag-aso Pogoy |
| author_sort | Edgermi Gerasta Gingoyon |
| collection | DOAJ |
| description | The stability of skills in a workforce is influenced by a range of determinants that can either promote or hinder the ability of employees to maintain and adapt their skills over time. From the 37 country members of the Organization for Economic Cooperation and Development (OECD), the top 15 countries were contrasted in terms of workforce measured by skill stability with the bottom 15 countries using bipolar analysis. This study aimed to determine the predictors of skill stability among the reskilling foci across countries. Data were analyzed using exploratory data, t-tests, and regression analysis. Results revealed that the top 15 countries outperformed the bottom 15 regarding resilience, flexibility, and agility. It was also found that AI and big data, resilience, flexibility, agility, empathy, and active listening were the three predictors of skill stability in the workforce among countries. Hence, it is recommended that organizations and stakeholders explore collaboration opportunities between the top 15 and bottom 15 countries to leverage their respective strengths, ultimately enhancing overall skill stability. |
| format | Article |
| id | doaj-art-bb2017e21e294ca9af192f1e7566fe16 |
| institution | DOAJ |
| issn | 2734-9357 2734-9624 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE |
| record_format | Article |
| series | Ho Chi Minh City Open University Journal of Science - Social Sciences |
| spelling | doaj-art-bb2017e21e294ca9af192f1e7566fe162025-08-20T03:04:06ZengHO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCEHo Chi Minh City Open University Journal of Science - Social Sciences2734-93572734-96242024-10-01153213410.46223/HCMCOUJS.soci.en.15.3.3268.20252229Determinants of skill stability in the workforce among countriesEdgermi Gerasta Gingoyon0Ivy Joy M. Omlang1Angeline Mag-aso Pogoy2Sacred Heart School - Ateneo de Cebu, CebuCebu Normal University, CebuCebu Normal University, CebuThe stability of skills in a workforce is influenced by a range of determinants that can either promote or hinder the ability of employees to maintain and adapt their skills over time. From the 37 country members of the Organization for Economic Cooperation and Development (OECD), the top 15 countries were contrasted in terms of workforce measured by skill stability with the bottom 15 countries using bipolar analysis. This study aimed to determine the predictors of skill stability among the reskilling foci across countries. Data were analyzed using exploratory data, t-tests, and regression analysis. Results revealed that the top 15 countries outperformed the bottom 15 regarding resilience, flexibility, and agility. It was also found that AI and big data, resilience, flexibility, agility, empathy, and active listening were the three predictors of skill stability in the workforce among countries. Hence, it is recommended that organizations and stakeholders explore collaboration opportunities between the top 15 and bottom 15 countries to leverage their respective strengths, ultimately enhancing overall skill stability.https://journalofscience.ou.edu.vn/index.php/soci-en/article/view/3268data miningreskillingskill stabilityworkforceworld economic forum |
| spellingShingle | Edgermi Gerasta Gingoyon Ivy Joy M. Omlang Angeline Mag-aso Pogoy Determinants of skill stability in the workforce among countries Ho Chi Minh City Open University Journal of Science - Social Sciences data mining reskilling skill stability workforce world economic forum |
| title | Determinants of skill stability in the workforce among countries |
| title_full | Determinants of skill stability in the workforce among countries |
| title_fullStr | Determinants of skill stability in the workforce among countries |
| title_full_unstemmed | Determinants of skill stability in the workforce among countries |
| title_short | Determinants of skill stability in the workforce among countries |
| title_sort | determinants of skill stability in the workforce among countries |
| topic | data mining reskilling skill stability workforce world economic forum |
| url | https://journalofscience.ou.edu.vn/index.php/soci-en/article/view/3268 |
| work_keys_str_mv | AT edgermigerastagingoyon determinantsofskillstabilityintheworkforceamongcountries AT ivyjoymomlang determinantsofskillstabilityintheworkforceamongcountries AT angelinemagasopogoy determinantsofskillstabilityintheworkforceamongcountries |