Analysis of Factors Affecting Quality Employment for Women: A Bibliometric Approach
https://doi.org/10.51176/1997-9967-2024-4-38-53
Abstract
Today, the quality of women’s employment is an urgent topic that attracts the attention of researchers and politicians in connection with the need to ensure equal opportunities in the labor market. The present study applied bibliometric analysis to examine the factors affecting quality employment for women based on the past literature over the past two decades, from 2000 to 2024. The study uses the Scopus database to identify the most cited journals, authors, countries, and keywords related to women’s employment. Different Booleans were applied with logical OR and AND operators to extract the data. PRISMA model was used with inclusion or exclusion criteria, and 238 papers were finalized based on the satisfactory requirement for the analysis. To analyze the data, bibliometric tools such as VOSviewer and R Studio were applied to generate a visualization of network diagrams, cluster analysis, and citation patterns regarding most cited journals, authors, countries, and keywords in the past literature on factors affecting the quality of employment for women. The analysis revealed vital trends, including the most cited sources, leading authors, and countries actively publishing works on this topic. The main thematic areas were highlighted, such as gender equality, mental health, employment conditions, and labor discrimination. Visualization using network diagrams made it possible to identify the relationships between authors, countries, and critical keywords, reflecting global scientific trends. This study provided a comprehensive science map to show a framework for future researchers and policymakers to understand the international trends and the factors affecting women’s employment quality.
Keywords
About the Author
R. N. LodhiPakistan
Rab Nawaz Lodhi – PhD
New Campus, Lahore
References
1. Alon, T., Doepke, M., Olmstead-Rumsey, J., & Tertilt, M. (2020). The Impact of COVID-19 on Gender Equality (No. w26947). National Bureau of Economic Research. https://doi.org/10.3386/w26947
2. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
3. Asif, M., Lodhi, R. N., Sarwar, F., & Ashfaq, M. (2024). Dark side whitewashes the benefits of FinTech innovations: a bibliometric overview. International Journal of Bank Marketing, 42(1), 113-132. https://doi.org/10.1108/IJBM-10-2022-0438
4. Bhattacharya, S. (2018). Eugene Garfield: brief reflections. Scientometrics, 114(2), 401-407. https://doi.org/10.1007/s11192-017-2620-7
5. Blau, F. D., & Kahn, L. M. (2017). The gender wage gap: Extent, trends, and explanations. Journal of Economic Literature, 55(3), 789-865. https://doi.org/10.1257/jel.20160995
6. Boushey, H. (2016). Finding time: The economics of work-life conflict. Harvard University Press.
7. Carvalho, C. D. O. (2021). Women, business and the law 2021. World Bank.
8. Chliova, M., Brinckmann, J., & Rosenbusch, N. (2015). Is microcredit a blessing for the poor? A meta-analysis examining development outcomes and contextual considerations. Journal of business Venturing, 30(3), 467-487. https://doi.org/10.1016/j.jbusvent.2014.10.003
9. Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American society for information science and technology, 62(7), 1382-1402. https://doi.org/10.1002/asi.21525
10. Eck, N. J. v., & Waltman, L. (2009). How to normalize cooccurrence data? An analysis of some well‐known similarity measures. Journal of the American society for information science and technology, 60(8), 1635-1651. https://doi.org/10.1002/asi.21075
11. Ely, R. J., Ibarra, H., & Kolb, D. M. (2011). Taking gender into account: Theory and design for women’s leadership development programs. Academy of Management Learning & Education, 10(3), 474-493. https://doi.org/10.5465/amle.2010.0046
12. Fagan, C., & Rubery, J. (2018). Advancing gender equality through European employment policy: the impact of the UK’s EU membership and the risks of Brexit. Social Policy and Society, 17(2), 297-317. https://doi.org/10.1017/S1474746417000458
13. Garfield, E. (1988). Derek Price and the practical world of scientometrics. Science, Technology, & Human Values, 13(3-4), 349-350. https://doi.org/10.1177/016224398801303-412
14. Gammage, S., Sultana, N., & Glinski, A. (2020). Reducing vulnerable employment: Is there a role for reproductive health, social protection, and labor market policy? Feminist Economics, 26(1), 121-153. https://doi.org/10.1080/13545701.2019.1670350
15. Goldin, C. (2021). Career and Family: Women’s Century-Long Journey toward Equity. Princeton University Press.
16. International Labour Organization (ILO). (2020b). Women in Business and Management: The Business Case for Change.
17. International Labour Organization (ILO). (2020a). World Employment and Social Outlook: Trends for Women 2020. ILO.
18. Kabeer, N. (2016). Gender equality, economic growth, and women’s agency: The “endless variety” and “monotonous similarity” of patriarchal constraints. Feminist Economics, 22(1), 295-321. https://doi.org/10.1080/13545701.2015.1090009
19. Kabeer, N. (2017). Economic pathways to women’s empowerment and active citizenship: what does the evidence from Bangladesh tell us? The Journal of Development Studies, 53(5), 649-663. https://doi.org/10.1080/00220388.2016.1205730
20. Kalleberg, A. L. (2009). Precarious work, insecure workers: Employment relations in transition. American Sociological Review, 74(1), 1-22. https://doi.org/10.1177/000312240907400101
21. Liu, J., Li, X., & Wang, S. (2020). What have we learnt from 10 years of fintech research? A scientometric analysis. Technological Forecasting and Social Change, 155, 120022. https://doi.org/10.1016/j.techfore.2020.120022
22. McKinsey & Company. (2021). Women in the Workplace 2021 Report.
23. Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-todate review. Profesional de la Información, 29(1), 1-20. https://doi.org/10.3145/epi.2020.ene.03
24. Murgia, A., & Poggio, B. (2019). Gender and Precarious Research Careers: A Comparative Analysis. Routledge.
25. Ridgeway, C. L. (2011). Framed by Gender: How Gender Inequality Persists in the Modern World. Oxford University Press.
26. Ryan, M. K., & Haslam, S. A. (2005). The glass cliff: Evidence that women are over‐represented in precarious leadership positions. British Journal of management, 16(2), 81-90. https://doi.org/10.1111/j.1467-8551.2005.00433.x
27. Women, U. N. (2015). Monitoring gender equality and the empowerment of women and girls in the 2030 agenda for sustainable development: opportunities and challenges. UN Women. https://www.unwomen.org/sites/default/files/Headquarters/Attachments/Sections/Library/Publications/2015/IndicatorPaper-EN-FINAL.pdf
Review
For citations:
Lodhi R.N. Analysis of Factors Affecting Quality Employment for Women: A Bibliometric Approach. Economy: strategy and practice. 2024;19(4):38-53. https://doi.org/10.51176/1997-9967-2024-4-38-53