Araştırma Makalesi
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TÜRKİYE'DEKİ KADIN İSTİHDAMINDA BÖLGESEL FARKLILIKLARIN İNSAN KAYNAKLARI YÖNETİMİ PERSPEKTİFİNDEN TOPSIS YÖNTEMİ İLE İNCELENMESİ

Yıl 2025, Cilt: 21 Sayı: 4, 1589 - 1623, 25.12.2025
https://doi.org/10.17130/ijmeb.1645924

Öz

Bu çalışma, Türkiye’de kadın istihdamındaki bölgesel farklılıkları insan kaynakları yönetimi perspektifinden incelemektedir. Araştırmanın temel amacı, kadın işgücüne katılım oranları, istihdam ve işsizlik gibi göstergelerin bölgesel dağılımını değerlendirerek ekonomik, sosyal ve kültürel faktörlerin etkisini ortaya koymaktır. 2009–2023 döneminde, 26 NUTS-2 bölgesi için tanımlayıcı istatistiksel yöntemler kullanılarak yürütülen çalışma, kadın işgücü göstergelerindeki değişimleri detaylı bir şekilde analiz etmiştir. Ayrıca, çok kriterli karar verme tekniği olan TOPSIS yöntemiyle, her bölgenin kadın istihdam performansı ideal pozisyona yakınlık açısından sıralanmıştır. Bulgular, metropol alanlarda yüksek işgücü katılım oranlarının artan işsizlikle ilişkilendirildiğini; kırsal bölgelerde ise eğitim düzeyinin kadınların istihdam edilebilirliğinde belirleyici rol oynadığını göstermektedir. Çalışmada, ekonomik sektör yapısı ve bölgesel kalkınma düzeyinin kadın istihdamındaki farklılıkları belirlediği tespit edilmiş; stratejik olarak mesleki eğitim programlarının bölgesel ihtiyaçlara uygun hale getirilmesi, esnek çalışma modellerinin yaygınlaştırılması, finansal teşvikler ve kurumsal çeşitlilik politikalarının uygulanması önerilmiştir. Ayrıca, çalışma, elde edilen bulgular ışığında bölgesel farklılıkların giderilmesine yönelik uygulanabilir politika önerileri sunarak literatüre özgün bir katkı sağlamaktadır.

Kaynakça

  • Akgül Yılmaz, G., & Nalbant Efe, G. (2025). Kadın istihdamını etkileyen ekonomik ve mali faktörler: Türkiye geneli ve sege bölgeleri için panel veri analizi. Öneri Dergisi, 20(63), 117–147. https://doi.org/10.14783/maruoneri.1576956
  • Al Harrasi, N., Al Balushi, B., Al Khayari, S., & Al Rashdi, M. (2024). Human resource management practices in Oman: A systematic review and synthesis for future research. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2337053
  • Altuğ, F., & Almammadlı, G. (2025). Türkiye’de kadın istihdamının sektörel ve bölgesel düzeyde yoğunlaşma durumu. International Journal of Geography and Geography Education, 54, 164–193. https://doi.org/10.32003/igge.1488162
  • Altuzarra, A., Gálvez-Gálvez, C., & González-Flores, A. (2019). Economic development and female labour force participation: The case of European Union countries. Sustainability (Switzerland), 11(7), 1962. https://doi.org/10.3390/su11071962
  • Ara, S. (2015). Gender and jobs: Evidence from urban labour market in India. Indian Journal of Labour Economics, 58(3), 377–403. https://doi.org/10.1007/s41027-016-0027-2
  • Aykın, M., & Azazi, H. (2024). Relationship between women’ s employment and inflation: The case of Türkiye. Girişimcilik ve Kalkınma Dergisi, 19(2), 13–20.
  • Bąk, I., Wolska, G., Wawrzyniak, K., & Oesterreich, M. (2022). Analysis of the rate of socio-economic changes in rural areas between 2010 and 2020. Polish case. Bulletin of Geography. Socio-Economic Series, 58(58), 109–127. https://doi.org/10.12775/bgss-2022-0037
  • Baloğlu, Z., & Dilek, S. (2023). Environmental and productivity perceptions affecting the female labor force participation rate. Bartın Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(28), 268–283. https://doi.org/10.47129/bartiniibf.1374492
  • Banks, N. (2013). Female employment in Dhaka, Bangladesh: participation, perceptions and pressures. Environment and Urbanization, 25(1), 95–109. https://doi.org/10.1177/0956247813477357
  • Barbieri, P., Cutuli, G., Guetto, R., & Scherer, S. (2019). Part-time employment as a way to increase women’s employment: (Where) does it work? International Journal of Comparative Sociology, 60(4), 249–268. https://doi.org/10.1177/0020715219849463
  • Becker, G. S. (1994). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, 3rd Edition (3rd Editio), The University of Chicago Press.
  • Behzadian, M., Khanmohammadi Otaghsara, S., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069. https://doi.org/10.1016/J.ESWA.2012.05.056
  • Berloffa, G., Matteazzi, E., Şandor, A., & Villa, P. (2019). Gender inequalities in the initial labour market experience of young Europeans. International Journal of Manpower, 40(3), 379–397. https://doi.org/10.1108/IJM-02-2018-0063
  • Blundell, R., Dearden, L., Meghir, C., & Sianesi, B. (1999). Human Capital Investment: The Returns from Education and Training to the Individual, the Firm and the Economy. Fiscal Studies, 20(1), 1–23. https://doi.org/10.1111/j.1475-5890.1999.tb00001.x
  • Bussemakers, C., van Oosterhout, K., Kraaykamp, G., & Spierings, N. (2017). Women’s Worldwide Education–employment Connection: A Multilevel Analysis of the Moderating Impact of Economic, Political, and Cultural Contexts. World Development, 99, 28–41. https://doi.org/10.1016/j.worlddev.2017.07.002
  • Chaube, S., Pant, S., Kumar, A., Uniyal, S., Singh, M. K., Kotecha, K., & Kumar, A. (2024). An overview of multi-criteria decision analysis and the applications of AHP and TOPSIS methods. International Journal of Mathematical, Engineering and Management Sciences, 9(3), 581–615. https://doi.org/10.33889/IJMEMS.2024.9.3.030
  • Ciucu, A.-N., Stoychev, K., Delcea, C., Vargas, V. M., & Pauna, C. (2024). Regional SDG performance in Bulgaria and Romania: Poverty, education, and decent work. Amfiteatru Economic, 26(Special 18), 1208. https://doi.org/10.24818/EA/2024/S18/1208
  • Cooke, F. L., & Saini, D. S. (2010). Diversity management in India: A study of organizations in different ownership forms and industrial sectors. Human Resource Management, 49(3), 477–500. https://doi.org/10.1002/hrm.20360
  • Cuéllar-Molina, D., García-Cabrera, A. M., & Lucia-Casademunt, A. M. (2018). Is the institutional environment a challenge for the well-being of female managers in Europe? The mediating effect of work–life balance and role clarity practices in the workplace. International Journal of Environmental Research and Public Health, 15(9), 1813. https://doi.org/10.3390/ijerph15091813
  • Çuvalci Öztürk, H., & Berber, M. (2024). Cumhuriyetin 100. yılında kadın istihdamı : Türkiye geneli ve düzey-i bölgeleri özelinde sektörel analiz. Akademik Araştırmalar ve Çalışmalar Dergisi, 16, 1–19.
  • del Mar Fuentes‐Fuentes, M., Quintana‐García, C., Marchante‐Lara, M., & Benavides‐Chicón, C. G. (2023). Gender diversity, inclusive innovation and firm performance. Sustainable Development, 31(5), 3622–3638. https://doi.org/10.1002/sd.2615
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  • Giotopoulos, I., Konstantinou, V., Kontolaimou, A., & Tsakanikas, A. (2022). Show me how to grow fast in turbulent times: Balancing human resource practices between employee training and educational attainment. European Management Review, 19(4), 581–597. https://doi.org/10.1111/emre.12505
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INVESTIGATION OF REGIONAL DIFFERENCES IN WOMEN'S EMPLOYMENT IN TURKEY FROM THE PERSPECTIVE OF HUMAN RESOURCES MANAGEMENT BY TOPSIS METHOD

Yıl 2025, Cilt: 21 Sayı: 4, 1589 - 1623, 25.12.2025
https://doi.org/10.17130/ijmeb.1645924

Öz

This study analyses regional differences in women's employment in Turkey from a human resource management perspective. The main objective of the study is to reveal the impact of economic, social and cultural factors by evaluating the regional distribution of indicators such as female labour force participation rates, employment and unemployment. Using descriptive statistical methods for 26 NUTS-2 regions in the period 2009-2023, the study analysed the changes in female labour force indicators in detail. Furthermore, using TOPSIS, a multi-criteria decision-making technique, the female employment performance of each region is ranked in terms of proximity to the ideal position. The findings show that high labour force participation rates in metropolitan areas are associated with rising unemployment, while in rural areas, education level plays a decisive role in women's employability. The study finds that the economic sector structure and the level of regional development determine the differences in women's employment and strategically recommends that vocational training programmes should be tailored to regional needs, flexible working models should be expanded, financial incentives and institutional diversity policies should be implemented. In addition, the study makes a unique contribution to the literature by providing applicable policy recommendations to eliminate regional disparities in the light of the findings obtained.

Kaynakça

  • Akgül Yılmaz, G., & Nalbant Efe, G. (2025). Kadın istihdamını etkileyen ekonomik ve mali faktörler: Türkiye geneli ve sege bölgeleri için panel veri analizi. Öneri Dergisi, 20(63), 117–147. https://doi.org/10.14783/maruoneri.1576956
  • Al Harrasi, N., Al Balushi, B., Al Khayari, S., & Al Rashdi, M. (2024). Human resource management practices in Oman: A systematic review and synthesis for future research. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2337053
  • Altuğ, F., & Almammadlı, G. (2025). Türkiye’de kadın istihdamının sektörel ve bölgesel düzeyde yoğunlaşma durumu. International Journal of Geography and Geography Education, 54, 164–193. https://doi.org/10.32003/igge.1488162
  • Altuzarra, A., Gálvez-Gálvez, C., & González-Flores, A. (2019). Economic development and female labour force participation: The case of European Union countries. Sustainability (Switzerland), 11(7), 1962. https://doi.org/10.3390/su11071962
  • Ara, S. (2015). Gender and jobs: Evidence from urban labour market in India. Indian Journal of Labour Economics, 58(3), 377–403. https://doi.org/10.1007/s41027-016-0027-2
  • Aykın, M., & Azazi, H. (2024). Relationship between women’ s employment and inflation: The case of Türkiye. Girişimcilik ve Kalkınma Dergisi, 19(2), 13–20.
  • Bąk, I., Wolska, G., Wawrzyniak, K., & Oesterreich, M. (2022). Analysis of the rate of socio-economic changes in rural areas between 2010 and 2020. Polish case. Bulletin of Geography. Socio-Economic Series, 58(58), 109–127. https://doi.org/10.12775/bgss-2022-0037
  • Baloğlu, Z., & Dilek, S. (2023). Environmental and productivity perceptions affecting the female labor force participation rate. Bartın Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(28), 268–283. https://doi.org/10.47129/bartiniibf.1374492
  • Banks, N. (2013). Female employment in Dhaka, Bangladesh: participation, perceptions and pressures. Environment and Urbanization, 25(1), 95–109. https://doi.org/10.1177/0956247813477357
  • Barbieri, P., Cutuli, G., Guetto, R., & Scherer, S. (2019). Part-time employment as a way to increase women’s employment: (Where) does it work? International Journal of Comparative Sociology, 60(4), 249–268. https://doi.org/10.1177/0020715219849463
  • Becker, G. S. (1994). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, 3rd Edition (3rd Editio), The University of Chicago Press.
  • Behzadian, M., Khanmohammadi Otaghsara, S., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069. https://doi.org/10.1016/J.ESWA.2012.05.056
  • Berloffa, G., Matteazzi, E., Şandor, A., & Villa, P. (2019). Gender inequalities in the initial labour market experience of young Europeans. International Journal of Manpower, 40(3), 379–397. https://doi.org/10.1108/IJM-02-2018-0063
  • Blundell, R., Dearden, L., Meghir, C., & Sianesi, B. (1999). Human Capital Investment: The Returns from Education and Training to the Individual, the Firm and the Economy. Fiscal Studies, 20(1), 1–23. https://doi.org/10.1111/j.1475-5890.1999.tb00001.x
  • Bussemakers, C., van Oosterhout, K., Kraaykamp, G., & Spierings, N. (2017). Women’s Worldwide Education–employment Connection: A Multilevel Analysis of the Moderating Impact of Economic, Political, and Cultural Contexts. World Development, 99, 28–41. https://doi.org/10.1016/j.worlddev.2017.07.002
  • Chaube, S., Pant, S., Kumar, A., Uniyal, S., Singh, M. K., Kotecha, K., & Kumar, A. (2024). An overview of multi-criteria decision analysis and the applications of AHP and TOPSIS methods. International Journal of Mathematical, Engineering and Management Sciences, 9(3), 581–615. https://doi.org/10.33889/IJMEMS.2024.9.3.030
  • Ciucu, A.-N., Stoychev, K., Delcea, C., Vargas, V. M., & Pauna, C. (2024). Regional SDG performance in Bulgaria and Romania: Poverty, education, and decent work. Amfiteatru Economic, 26(Special 18), 1208. https://doi.org/10.24818/EA/2024/S18/1208
  • Cooke, F. L., & Saini, D. S. (2010). Diversity management in India: A study of organizations in different ownership forms and industrial sectors. Human Resource Management, 49(3), 477–500. https://doi.org/10.1002/hrm.20360
  • Cuéllar-Molina, D., García-Cabrera, A. M., & Lucia-Casademunt, A. M. (2018). Is the institutional environment a challenge for the well-being of female managers in Europe? The mediating effect of work–life balance and role clarity practices in the workplace. International Journal of Environmental Research and Public Health, 15(9), 1813. https://doi.org/10.3390/ijerph15091813
  • Çuvalci Öztürk, H., & Berber, M. (2024). Cumhuriyetin 100. yılında kadın istihdamı : Türkiye geneli ve düzey-i bölgeleri özelinde sektörel analiz. Akademik Araştırmalar ve Çalışmalar Dergisi, 16, 1–19.
  • del Mar Fuentes‐Fuentes, M., Quintana‐García, C., Marchante‐Lara, M., & Benavides‐Chicón, C. G. (2023). Gender diversity, inclusive innovation and firm performance. Sustainable Development, 31(5), 3622–3638. https://doi.org/10.1002/sd.2615
  • Dmytrów, K., & Bieszk-Stolorz, B. (2021). Comparison of changes in the labour markets of post-communist countries with other EU member states. Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(4), 741–764. https://doi.org/10.24136/eq.2021.027
  • Dobbin, F., Kim, S., & Kalev, A. (2011). You can’t always get what you need. American Sociological Review, 76(3), 386–411. https://doi.org/10.1177/0003122411409704
  • Erhel, C., & Guergoat-Larivière, M. (2013). Labor market regimes, family policies, and women’s behavior in the EU. Feminist Economics, 19(4), 76–109. https://doi.org/10.1080/13545701.2013.842649
  • Giotopoulos, I., Konstantinou, V., Kontolaimou, A., & Tsakanikas, A. (2022). Show me how to grow fast in turbulent times: Balancing human resource practices between employee training and educational attainment. European Management Review, 19(4), 581–597. https://doi.org/10.1111/emre.12505
  • Goedderz, A., & Calanchini, J. (2023). Regional traditional gender stereotypes predict the representation of women in the workforce in 35 countries across five continents. Current Research in Ecological and Social Psychology, 5, 100138. https://doi.org/10.1016/j.cresp.2023.100138
  • González, F. A. I., & Virdis, J. M. (2022). Global development and female labour force participation: Evidence from a multidimensional perspective. Journal of Gender Studies, 31(3), 289–305. https://doi.org/10.1080/09589236.2021.1949581
  • Hardy, C. (2023). Addressing women’s needs at the workplace. Maturitas, 173, 48. https://doi.org/10.1016/j.maturitas.2023.04.097
  • Hoş, Z., & Bişgin, A. (2023). Kadın istihdamının artırılmasında yasal düzenlemelerin ve vergi teşviklerinin rolü. KMÜ Sosyal ve Ekonomik Araştırmalar Dergisi, 25(45), 1176–1192.
  • Hutson, D. J. (2025). The silent shift: Pregnant women doing aesthetic and emotional labor at work. Gender, Work & Organization, 32(1), 281–301. https://doi.org/10.1111/gwao.13146
  • ILO. (2021). World Employment and Social Outlook: Trends 2021. International Labour Organization.
  • Ince, M. (2010). How the education affects female labor force? Empirical evidence from Turkey. Procedia - Social and Behavioral Sciences, 2(2), 634–639. https://doi.org/10.1016/j.sbspro.2010.03.076
  • Issa, A., & Hanaysha, J. R. (2023). Breaking the glass ceiling for a sustainable future: the power of women on corporate boards in reducing ESG controversies. International Journal of Accounting & Information Management, 31(4), 623–646. https://doi.org/10.1108/IJAIM-03-2023-0053
  • Kille, T., Wiesner, R., Lee, S.-Y., Johnson Morgan, M., Summers, J., & Davoodian, D. (2022). Capital factors influencing rural, regional and remote women’s entrepreneurship development: An Australian perspective. Sustainability, 14(24), 16442. https://doi.org/10.3390/su142416442
  • Knapińska, M., & Woźniak-Jasińska, K. (2024). Labour market policy in OECD countries – selected aspects. Argumenta Oeconomica, 2024(2(52)), 186–199. https://doi.org/10.15611/aoe.2024.2.13
  • Liu, J., Zhu, Y., & Wang, H. (2023). Managing the negative impact of workforce diversity: The important roles of inclusive HRM and employee learning-oriented behaviors. Frontiers in Psychology, 14(February). https://doi.org/10.3389/fpsyg.2023.1117690
  • Marchewka, A. (2022). Applying TOPSIS to evaluate labour market resources as a factor of regional investment attractiveness. Procedia Computer Science, 207, 3122–3129. https://doi.org/10.1016/j.procs.2022.09.370
  • Marti, L., & Puertas, R. (2021). European countries’ vulnerability to COVID-19: multicriteria decision-making techniques. Economic Research-Ekonomska Istraživanja, 34(1), 3309–3320. https://doi.org/10.1080/1331677X.2021.1874462
  • Muhammad, S., & Ximei, K. (2022). Does It Matter Where You Live? Rural–Urban Context Among Women Entrepreneurs in Pakistan. Frontiers in Psychology, 13(March). https://doi.org/10.3389/fpsyg.2022.827634
  • Nafukho, F. M., Hairston, N., & Brooks, K. (2004). Human capital theory: implications for human resource development. Human Resource Development International, 7(4), 545–551. https://doi.org/10.1080/1367886042000299843
  • Nam, S. (1991). Determinants of female labor force participation: A study of Seoul, South Korea, 1970?1980. Sociological Forum, 6(4), 641–659. https://doi.org/10.1007/BF01114405
  • Odabaşı, Y., & Özer, G. (2023). Son yıllarda Türkiye’de kadın istihdamının durumu ve kadın istihdamını artırmaya yönelik destekler. İktisadi Araştırmalar Dergisi, 1(2), 47–54.
  • Osberg, L. (2013). Instability implications of increasing inequality: Evidence from North America. Economic Modelling, 35, 918–930. https://doi.org/10.1016/j.econmod.2013.06.039
  • Ozgener, S. (2008). Diversity management and demographic differences-based discrimination: The case of the Turkish manufacturing industry. Journal of Business Ethics, 82(3), 621–631. https://doi.org/10.1007/s10551-007-9581-3
  • Özocaklı, D., & Khanalizadeh, B. (2023). Türkiye’de kadın istihdamının bazı belirleyicileri: FMOLS yöntemi ile bir analiz. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 10(4), 1331–1344.
  • Panda, M., & Jagadev, A. K. (2018). TOPSIS in multi-criteria decision making: A Survey. 2018 2nd International Conference on Data Science and Business Analytics (ICDSBA), 51–54. https://doi.org/10.1109/ICDSBA.2018.00017
  • Pīpiķe, R., & Gaile-Sarkane, E. (2023). Exploring the relationship between compliance with diversity management principles and company performance. Proceedings of World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI, 2023-Septe(Wmsci), 253–258. https://doi.org/10.54808/WMSCI2023.01.253
  • Podviezko, A., & Podvezko, V. (2014). Absolute and relative evaluation of socio-economic objects based on multiple criteria decision making methods. Engineering Economics, 25(5). https://doi.org/10.5755/j01.ee.25.5.6624
  • Ray, D. M., MacLachlan, I., Lamarche, R., & Srinath, K. (2017). Economic shock and regional resilience: Continuity and change in Canada’s regional employment structure, 1987–2012. Environment and Planning A: Economy and Space, 49(4), 952–973. https://doi.org/10.1177/0308518X16681788
  • Ray, S., & Debnath, M. (2021). Determinants of regional inequality in female work participation in Lower Gangetic Plain Region of India. Spatial Information Research, 29(2), 231–246. https://doi.org/10.1007/s41324-020-00348-4
  • Reljic, J., & Zezza, F. (2025). Breaking the divide: Can public spending on social infrastructure boost female employment in Italy? Economic Modelling, 143(March 2024), 106974. https://doi.org/10.1016/j.econmod.2024.106974
  • Rhee, C. S., Woo, S., & Rhee, H. (2023). Effect of gender diversity on corporate soundness and social contribution. Corporate Social Responsibility and Environmental Management, 30(1), 419–430. https://doi.org/10.1002/csr.2363
  • Semenza, R., Boccardo, G., & Sarti, S. (2021). So far, so similar? Labour market feminization in Italy and Chile. Social Indicators Research, 154(3), 917–942. https://doi.org/10.1007/s11205-020-02551-0
  • Shi, W., Pathak, S., Song, L. J., & Hoskisson, R. E. (2018). The adoption of chief diversity officers among S&P 500 firms: Institutional, resource dependence, and upper echelons accounts. Human Resource Management, 57(1), 83–96. https://doi.org/10.1002/hrm.21837
  • Solakoğlu, M., & Solakoğlu, M. (2024). Cinsiyet eşitsizliğinin kadın istihdamı üzerine etkisi. Ünye İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(1), 1–19. https://doi.org/10.9770/IRD.2023.5.4(4)
  • TurkStat. (2022). İşgücü İstatistikleri. Retrieved from https:// https://data.tuik.gov.tr/Bulten/Index?p=Isgucu-Istatistikleri-2021-45645. Accessed 24.12.2024.
  • TurkStat. (2025). Bölgesel İstatistik. Retrieved from https://biruni.tuik.gov.tr/bolgeselistatistik/anaSayfa.do?dil=tr. Accessed 02.01.2025.
  • United Nations. (2025). THE 17 GOALS | Sustainable Development. Retrieved from https://sdgs.un.org/goals. Accessed 22.02.2025.
  • Unuvar Unluoglu, D. (2024). Towards gender parity: Examining women’s role in Turkey’s workforce. Abant Sosyal Bilimler Dergisi, 24(3), 881–894. https://doi.org/10.11616/asbi.1455200
  • Welman, F. O., Edwinah, A., & Nwoke, A. M. (2022). Workforce diversity and organizational performance: Theoretical perspective. South Asian Research Journal of Biology and Applied Biosciences, 4(5), 198–202. https://doi.org/10.36346/sarjbm.2022.v04i05.004
  • World Economic Forum. (2023). Global gender gap report 2023. In World Economic Forum (Issue June). Retrieved from https://www.weforum.org/publications/global-gender-gap-report-2023/. Accessed 25.12.2024
  • Yalina, N., Graham, G., & Ghobadi, S. (2023). Barriers, challenges, and benefits: gender diversity in technology-based new venture team innovation. European Conference on Innovation and Entrepreneurship, 18(2), 1002–1009. https://doi.org/10.34190/ecie.18.2.1805
  • Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS method to solve complicated decision-making problems — An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(03), 645–682. https://doi.org/10.1142/S0219622016300019
  • Zoogah, D. B. (2016). Tribal diversity, human resources management practices, and firm performance. Canadian Journal of Administrative Sciences / Revue Canadienne Des Sciences de l’Administration, 33(3), 182–196. https://doi.org/10.1002/cjas.1363
Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makalesi
Yazarlar

Tuğçe Şimşek 0000-0003-3256-4348

Gönderilme Tarihi 24 Şubat 2025
Kabul Tarihi 23 Temmuz 2025
Yayımlanma Tarihi 25 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 21 Sayı: 4

Kaynak Göster

APA Şimşek, T. (2025). INVESTIGATION OF REGIONAL DIFFERENCES IN WOMEN’S EMPLOYMENT IN TURKEY FROM THE PERSPECTIVE OF HUMAN RESOURCES MANAGEMENT BY TOPSIS METHOD. Uluslararası Yönetim İktisat ve İşletme Dergisi, 21(4), 1589-1623. https://doi.org/10.17130/ijmeb.1645924


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