YETENEK YÖNETİMİ KONULU ÇALIŞMALARIN BİBLİYOMETRİK ANALİZİ

Yıl 2024, Cilt: 14 Sayı: 2, 37 - 59, 31.12.2024

Kevser Ozyasar , İsmail Bakan

https://doi.org/10.47147/ksuiibf.1558366

Öz

Bu araştırmada; yetenek yönetimi araştırmalarında en etkili kanalların (yazarlar, makaleler, dergiler, kurumlar, anahtar kelimeler ve ülkeler) hangileri olduğu, yetenek yönetimi çalışmalarının nasıl kümelendiği, en çok hangi araştırma akışlarının ilgi gördüğü konularına değinilmiştir. Günümüz işletmeleri için önem arz eden bu konu nicel verilerle ele alınarak, ilgili literatüre daha derin bir bakış sağlaması hedeflenmiştir. Çalışmaların WoS alanlarına göre dağılımına bakıldığında 1.345 çalışma ile en çok araştırmanın yönetim (%82.31) alanında yapıldığı görülmüştür. En üretken yazar 37 çalışmasıyla Scullion, Hugh olurken en çok atıf alan çalışma Collings’in (2009) “Strategic talent management: A review and research agenda” başlıklı makalesi olmuştur. Ülkelerin atıf analizine bakıldığında Amerika Birleşik Devletleri 8.730 atıfla birinci sırada iken kurumların atıf sıralamasında ise, Tillburg Üniversitesi 1.809 atıfla birinci olmuştur. Ayrıca, Collings (2009) çalışmasında 799 atıfla bibliyografik eşleşme analizinde de ilk sırada yer almıştır. Bu çalışma geçmişteki yetenek yönetimi tartışmasının daha kapsamlı ve objektif bir şekilde incelenmesini ve anlaşılmasını sağlamıştır. Yetenek yönetimi kavramı üzerine yapılan bu bibliyometrik analiz çalışmasının, ulusal ve uluslararası alandizinde ilk olması, bu çalışmanın özgün kısmını temsil etmektedir. Araştırmada sadece Web of Science veri tabanın kullanılmış olması bu çalışmanın kısıtlı yönünü ifade etmektedir. Bu alandaki araştırmacıların yetenek yönetimi üzerine yapacakları çalışmalarda Scopus, TR Dizin vb. veri tabanlarından da istifade etmeleri ilgili alanyazını zenginleştirecektir.

Anahtar Kelimeler

Yetenek yönetimi, Yetenek, Bibliyometrik analiz, VOSviewer, Veri görselleştirme.

BIBLIOMETRIC ANALYSIS OF STUDIES ON TALENT MANAGEMENT

Öz

Purpose: In this research; The topics that are most effective in talent management research (authors, articles, journals, institutions, keywords and countries), how talent management studies are clustered, and which research streams attract the most attention are discussed. This issue, which is important for today's businesses, is addressed with quantitative data, aiming to provide a deeper look at the relevant literature.
Result: When looking at the distribution of studies according to WoS fields, it was seen that the most research was conducted in the field of management (82.31%) with 1,345 studies. While the most productive author was Scullion and Hugh with 37 works, the most cited work was Collings' (2009) article titled "Strategic talent management: A review and research agenda". When looking at the citation analysis of countries, the United States ranked first with 8,730 citations, while in the citation ranking of institutions, University of Tillburg ranked first with 1,809 citations. Additionally, it ranked first in the bibliographic matching analysis with 799 citations in Collings' (2009) study.
Originality/Value of the Study: The fact that this bibliometric analysis study on the concept of talent management is the first in the national and international field represents the original part of this study.
Limitations of the Research: The fact that only the Web of Science database was used in the research expresses the limitation of this study. Researchers in this field will use Scopus, TR Dizin, etc. in their studies on talent management. Using databases will enrich the relevant literature.
Ethics committee: Since the research was conducted with secondary data, an ethics committee report is not needed.
Keywords: Talent management, Talent, Bibliometric analysis, VOSviewer, Data visualization.

Anahtar Kelimeler

: Talent management, Talent, Bibliometric analysis, VOSviewer, Data visualization

Kaynakça

• Abu-Darwish, N. J., Al-Kasasbeh, M. M., & Al-Khasawneh, M. M. (2022). The mediating role of cloud computing in the relationship between talent management and competitive advantages. Competitiveness Review: An International Business Journal, 32(2). 200-213.
• Al Rousan, R., & Khasawneh, N. (2024). Mapping 30 years of tourism and hospitality research in the Arab world: a review based on bibliometric analysis. Tourism Review, 79(6). 1280-1298.
• Al-kasasbeh, A. M., Halim, M. A. S. A., & Omar, K. (2016). E-HRM, workforce agility and organizational performance: A review paper toward theoretical framework. International Journal of Applied Business and Economic Research, 14(15). 0671-10685.
• Battisti, E., Graziano, E. A., Pereira, V., Vrontis, D., & Giovanis, A. (2023). Talent management and firm performance in emerging markets: a systematic literature review and framework. Management Decision, 61(9). 2757-2783.
• Bayarri, M. J., & Berger, J. O. (2004). The interplay of Bayesian and frequentist analysis.
• Chen: Y., Lee, A. Y. P., & Ahlstrom, D. (2021). Strategic talent management systems and employee behaviors: the mediating effect of calling. Asia Pacific Journal of Human Resources, 59(1). 84-108.
• Clark, R. C. (2019). Evidence-based training methods: A guide for training professionals. Association for Talent Development. Hutchinson Company, Mayfield, PA.
• Clemons, C. (2021). Best Practice from Black Manager’s Perceptions and Lived Experiences before and after Implementation of Diversity Management Programs. Northcentral University.
• Cobo, M. J., Martínez, M. A., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at knowledge-based systems: a bibliometric analysis. Knowledge-based systems, 80. 3-13.
• Collings, D. G., & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human resource management review, 19(4). 304-313.
• Collings, D. G. (2014). The contribution of talent management to organization success. The Wiley Blackwell handbook of the psychology of training, development, and performance improvement. 247-260.
• Davies, B., & Davies, B. J. (2011). Talent management in education.
• Dries, N. (2013). The psychology of talent management: A review and research agenda. Human Resource Management Review, 23(4). 272-285.
• Di Prima, C., Hussain, W. M. H. W., & Ferraris, A. (2024). No more war (for talent): the impact of HR analytics on talent management activities. Management Decision. DOI 10.1108/MD-07-2023-1198
• Ding, Z. Q., Ge, J. P., Wu, X. M., & Zheng, X. N. (2013). Bibliometrics evaluation of research performance in pharmacology/pharmacy: China relative to ten representative countries. Scientometrics, 96, 829-844.
• Do, H., & Shipton, H. (2019). High-performance work systems and innovation in Vietnamese small firms. International Small Business Journal, 37(7). 732-753.
• Ellehuus, C. (2012). Transforming business leaders into talent champions. Strategic HR Review, 11(2). 84-89.
• Fetscherin, M., & Heinrich, D. (2015). Consumer brand relationships research: A bibliometric citation meta-analysis. Journal of Business Research, 68(2). 380-390.
• Gallardo-Gallardo, E., Thunnissen, M., & Scullion, H. (2020). Talent management: context matters. The International Journal of Human Resource Management, 31(4). 457-473.
• Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change, 140. 194-220.
• Handfield-Jones, H., Michaels, E., & Axelrod, B. (2001). Talent management: A critical part of every leader's job. Ivey Business Journal, 66(2). 53-74.
• Harvey, J., Pettigrew, A., & Ferlie, E. (2002). The determinants of research group performance: Towards mode 2?. Journal of Management Studies, 39(6). 747-774.
• Hatum, A., Pettigrew, A., & Michelini, J. (2010). Building organizational capabilities to adapt under turmoil. Journal of Change Management, 10(3). 257-274.
• Hatum, A. (2016). Next generation talent management: Talent management to survive turmoil. Springer.
• Huang, X., Yang, Z., Zhang, J., Wang, R., Fan, J., Zhang, H., ... & Huang, H. (2022). A bibliometric analysis based on web of science: current perspectives and potential trends of SMAD7 in oncology. Frontiers in cell and developmental biology, 9. 712732.
• Khan, K. I., Nasir, A., & Saleem: (2021). Bibliometric analysis of post Covid-19 management strategies and policies in hospitality and tourism. Frontiers in Psychology, 12, 769760.
• Kitto, K., Hicks, B., & Buckingham Shum: (2023). Using causal models to bridge the divide between big data and educational theory. British Journal of Educational Technology, 54(5). 1095-1124.
• Li, C., Wu, K., & Wu, J. (2017). A bibliometric analysis of research on haze during 2000–2016. Environmental Science and Pollution Research, 24. 24733-24742.
• Liu, Y. (2024). Bibliometric Analysis of Weather Radar Research from 1945 to 2024: Formations, Developments, and Trends. Sensors, 24(11). 3531.
• Merigó, J. M., Mas-Tur, A., Roig-Tierno, N., & Ribeiro-Soriano, D. (2015). A bibliometric overview of the Journal of Business Research between 1973 and 2014. Journal of Business Research, 68(12). 2645-2653.
• Mishra, H. G., Pandita, S., Bhat, A. A., Mishra, R. K., & Sharma: (2022). Tourism and carbon emissions: A bibliometric review of the last three decades: 1990–2021. Tourism Review, 77(2). 636-658.
• Nederhof, A. J. (2006). Bibliometric monitoring of research performance in the social sciences and the humanities: A review. Scientometrics, 66(1). 81-100.
• Nicolás-Agustín, Á., Jiménez-Jiménez, D., Maeso Fernandez, F., & Di Prima, C. (2024). ICT training, digital transformation and company performance: an empirical study. European Journal of Innovation Management.
• Nobanee, H., Al Hamadi, F. Y., Abdulaziz, F. A., Abukarsh, L. S., Alqahtani, A. F., AlSubaey: K., ... & Almansoori, H. A. (2021). A bibliometric analysis of sustainability and risk management. Sustainability, 13(6). 3277.
• Nobanee, H., Alodat, A. Y., & Chakraborty, D. (2023). Mapping covid-19 and transportation: a taxonomical study using bibliometric visualisation. Global Knowledge, Memory and Communication. 2514-9342. DOI 10.1108/GKMC-06-2023-0187.
• Noe, R. A., & Ellingson, J. E. (2017). Autonomous learning in the workplace: An introduction. In Autonomous learning in the workplace. 1-11. Routledge.
• Oladinrin, O., Gomis, K., Jayantha, W. M., Obi, L., & Rana, M. Q. (2021). Scientometric analysis of global scientific literature on aging in place. International Journal of Environmental Research and Public Health, 18(23). 12468.
• Pauna, V. H., Picone, F., Le Guyader, G., Buonocore, E., & Franzese, P. P. (2018). The scientific research on ecosystem services: A bibliometric analysis. Ecological Questions, 29(3). 53-62.
• Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10). 3199-3226.
• Rehman, S., Ullah, A., Naseem, K., Elahi, A. R., & Erum, H. (2022). Talent acquisition and technology: A step towards sustainable development. Frontiers in Psychology. 13. 979991.
• Shah: H. H., Lei, S., Ali, M., Doronin, D., & Hussain: T. (2020). Prosumption: bibliometric analysis using HistCite and VOSviewer. Kybernetes, 49(3). 1020-1045.
• Saks, A. M., & Gruman, J. A. (2017). Human resource management and employee engagement. In A research agenda for human resource management. 95-113. Edward Elgar Publishing.
• Sigala, M. (2021). A bibliometric review of research on COVID-19 and tourism: Reflections for moving forward. Tourism Management Perspectives. 40. 100912.
• Sparrow, P. R., & Makram, H. (2015). What is the value of talent management? Building value-driven processes within a talent management architecture. Human resource management review. 25(3). 249-263.
• Thelwall, M. (2008). Bibliometrics to webometrics. Journal of information science. 34(4). 605-621.
• Ulrich, D., Younger, J., Brockbank, W., & Ulrich, M. D. (2013). The state of the HR profession. Human Resource Management. 52(3). 457-471.
• Valtakoski, A. (2020). The evolution and impact of qualitative research in Journal of Services Marketing. Journal of Services Marketing. 34(1). 8-23.
• Van Eck, N. J., Waltman, L., Dekker, R., & Van Den Berg, J. (2010). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology. 61(12). 2405-2416.
• Wiblen, S., & Marler, J. H. (2019). The human–technology interface in talent management and the implications for HRM. In HRM 4.0 For Human-Centered Organizations. 99-116. Emerald Publishing Limited.
• Zou, Q., Qu, K., Luo, Y., Yin, D., Ju, Y., & Tang, H. (2018). Predicting diabetes mellitus with machine learning techniques. Frontiers in Genetics. 9. 515.
• Zou, X., & Vu, H. L. (2019). Mapping the knowledge domain of road safety studies: A scientometric analysis. Accident Analysis & Prevention. 132. 105243.
• Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods. 18(3). 429-472.