Application of ESG measures for gender diversity and equality at the organizational level in a Korean context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Global gender diversity and equality indexes have been developed to promote gender diversity and equality at the country level, but it is difficult to see how those indexes are applied to organizations on a daily basis. The purpose of this study is to examine the application of environmental, social and governance (ESG) measures for gender diversity and equality at the organizational level in a Korean context. Design/methodology/approach Based on the institutional theory, the authors reviewed ESG measures for gender diversity and equality of women funds in four countries (USA, Canada, UK and Japan) and examined The Women Fund in Korea through document analysis and interviews. Findings ESG measures in four countries’ women funds mainly assessed the percentage of women in the workforce, on boards and in leadership positions. In The Women Fund , gender diversity indicators consider the ratio of female to male employees, while gender equality indicators take into account gaps of male and female salaries and positions. This study’s impact analysis indicates that the companies invested in by The Women Fund had higher return on assets and return on equity than those without the fund. Research limitations/implications Although women funds explored in this study exemplify the use of ESG measures to apply global gender diversity and equality indexes at the organizational level, research is needed to examine ESG measures and women funds and their associations. Possible topics include what needs to be measured in ESG, who should be involved, how ESG measures should be applied, what outcomes of using ESG measures would ensue in organizations and how ESG measures relate to regional and global gender diversity. Practical implications In promoting ESG measures that apply global gender diversity and equality at the organizational level, human resource development practitioners, as change agents, can help organizations develop socially responsible and ethical behaviors and transform organizational culture, practice and systems, which may influence organizations’ long-term survival and development as well as financial performance. Social implications As the government’s support and policies guide and drive firms to develop and implement initiatives and programs, the launch and implementation of gender diversity and equality at the organizational level in the form of women funds require a certain level of collaboration between the government and the private sector. Originality/value This study on the application of ESG measures for global gender diversity and equality at the organizational level in the form of women funds is timely to engage organizations in dialogue regarding what needs to be done to promote women’s participation and leadership roles in organizations in Korea and other countries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it