Providing Smart Talent Management Model In Government Organizations Using the Theme Analysis Method

Gholami, Yasaman; Faghihi, Abolhasan; Daneshfard, Karamollah

doi:10.22055/jiops.2024.47006.1409

Document Type : Research Article

Authors

¹ PhD Student of Public Administration, Science and Research University, Islamic Azad University, Tehran, Iran

² Professor, Department of Public Management, Allameh Tabatabai University, Tehran, Iran

³ Professor of Public Administration, Science and Research University, Islamic Azad University, Tehran, Iran

https://doi.org/10.22055/jiops.2024.47006.1409

Abstract

Introduction
Smart talent management means effective or intelligent management of human resources, which includes the knowledge capital of an organization and the ability to produce, maintain, store, transfer and use knowledge in support of the organization to achieve its goals and objectives. The problem of the current research is what are the different dimensions and aspects of smart talent management and how to successfully integrate talent management and knowledge management. Therefore, the purpose of the research was to identify the dimensions and components of Smart talent management in Iranian government organizations.

Method
This research is practical in terms of its purpose and is considered as a mixed exploratory research. In the qualitative phase of this research, the theme analysis technique was used, and in the quantitative phase, the confirmatory factor analysis method and Smart PLS software were used. In the qualitative phase, in order to design the research model, a semi-structured interview was conducted with 31 academic and executive experts who were selected purposefully. In the quantitative stage, in order to confirm the validity of the model, 85 human resource managers in Ministry of Communications and Information Technology were consulted. The sampling method was a simple random type and the data collection tool was a questionnaire.

Results
Based on findings, three categories of variables including guides, platforms and smart talent management measures were identified. Also, The findings of the quantitative section showed that the research variables are acceptable.

Discussion
The results of the research showed that intelligent talent management is a complex and multidimensional phenomenon and has differences in nature from talent management. The most important difference is the dynamic nature of smart talent management (considering the relatively static nature of talent management), which is due to the integration with knowledge management and the use of its capacities. Also, using the smart talent management approach in government organizations can bring many short-term and long-term effects and improve the quality level of human capital.

Keywords

References

Al Arris, A. (2014). Global talent management. Business Journal of World Business, 46, 506–51.

Anbumathi, R., & Sivasubramanian, R. C. (2016). Amalgamation of talent and knowledge management practices: A conceptual research model. Vision, 20(4), 278–289. https://doi.org/10.1177/0972262916668711

Anlesinya, A., Amponsah-Tawiah, K., & Dartey-Baah, K. (2019). Talent management research in Africa: Towards multilevel model and research agenda. African Journal of Economic and Management Studies, 10(4), 440-457. https://doi.org/10.1108/AJEMS-12-2018-0371

Braun, V., & Clarke, V. (2022). Conceptual and design thinking for thematic analysis. Qualitative Psychology, 9(1), 3. https://doi.org/10.1037/qup0000196

Chadee, D., & Raman, R. (2012). External knowledge and performance of offshore IT service providers in India: The mediating role of talent management. Asia Pacific Journal of Human Resources, 50, 459-482. https://doi.org/10.1111/j.1744-7941.2012.00039.x

Chen, S. Y., Lee, A. Y., & Ahlstrom, D. (2019). Strategic talent management systems and employee behaviors: The mediating effect of calling. Asia Pacific Journal of Human Resources, 59(1), 84-108. https://doi.org/10.1111/1744-7941.12229

Doroudian, A. A., & Ghafarzadeh, M. R. (2022). The effect of talent management on purposeful organizational forgetting with the mediating role of agility. Journal of Management and Organizational Behavior in Sports, 11(5), 1-13. (Persian)

Edeh, F. O., Zayed, N. M., Perevozova, I., Kryshtal, H., & Nitsenko, V. (2022). Talent management in the hospitality sector: Predicting discretionary work behaviour. Administrative Sciences, 12(4), 122. https://doi.org/10.3390/admsci12040122

Faqihi, A., & Alizadeh Thani, M. (2004). Validity in qualitative research. Culture of Management, 9, 5-19. (Persian) https://jomc.ut.ac.ir/article_14228.html

Figueiredo, E., Pais, L., Monteiro, S., & Mónico, S. (2016). Human resource management impact on knowledge management–Evidence from the Portuguese banking sector. Journal of Service Theory and Practice, 26(4), 497-528. https://doi.org/10.1108/JSTP-12-2014-0269

Fornell, C., & Larcker, D. (1981). Evaluating structural equation modeling with unobserved variables and measurement error. Journal of Marking Research, 18(1), 39-50.

Gallardo-Gallardo, E., Thunnissen, M., & Scullion, H. (2020). Talent management: Context matters.
The International Journal of Human Resource Management, 31(4), 457-473. https://doi.org/10.1080/09585192.2019.1642645

Hills, A. (2009). Succession planning–or smart talent management? Industrial and Commercial Training, 41, 3–8. https://doi.org/10.1108/00197850910927697

Jooss, J., Burbach, R., & Ru€el, R. (2019). Examining talent pools as a core talent management practice in multinational corporations. The International Journal Of Human Resource Management, 32(11), 2321-2352. https://doi.org/10.1080/09585192.2019.1579748.

Kaleem, M. (2019). The influence of talent management on performance of employee in public sector institutions of the UAE. Public Administration Research, 8(2), 8-23. https://doi.org/10.5539/par.v8n2p8

Khoshal Kelivar, A., Haghigi, M., & Rizgi Rostami, A. (2021). Presenting a model for factors affecting individual performance in public and private organizations, in order to improve the organization's performance (case study: public and private banks). Iranian Political Sociology Quarterly, 4(1), 386-411. (Persian) https://doi.org/10.30510/PSI.2021.292622.1947

Kravariti, F., & Johnston, K. (2020). Talent management: A critical literature review and research agenda for public sector human resource management. Public Management Review, 22(1), 75-95. https://doi.org/10.1080/14719037.2019.1638439

Kravariti, F., Tasoulis, K., Scullion, H., & Khaled Alali, M. (2022). Talent management and
performance in the public sector: the role of organizational and line managerial support for development. The International Journal of Human Resource Management, 1(1), 1-26. https://doi.org/10.1080/09585192.2022.2032265

Mantow, H. A. D., & Nilasari, B. M. (2022). The effect of knowledge management and talent management on employee performance. Journal of Managemen, 10(1), 51-66. https://doi.org/10.24912/jm.v26i1.837

Marinakou, E., & Giousmpasoglou, C. (2019). Talent management and retention strategies in luxury hotels: Evidence from four countries. International Journal of Contemporary Hospitality Management, 31(10), 3855–3878. https://doi.org/10.1108/IJCHM-10-2018-0862

Mohammed, A. A. (2018). An investigation into the relationship between talent management processes and knowledge management processes. P.h.D Thesis of Philosophy. Univesit of Southern Queemsland: Australia. https://core.ac.uk/download/pdf/211504332.pdf

Moradi, V., & Ayini, M. A. (2015). Smart talent management: A new approach and a leading factor in future wars. Military Sciences and Arts, 40(37), 111-128. (Persian). https://www.qjmst.ir/article_27888.html?lang=en

Neuman, W, L. (2020). Social research methods: qualitative and quantitative approaches. Pearson Education, University of Wisconsin, Whitewater: London. https://www.pearson.com/en-us/subject-catalog/p/social-research-methods-qualitative-and-quantitative-approaches/P200000003000/9780137502011

Razzaq, S., Shujahat, M., Hussain, S., Nawaz, F., Wang, M., Ali, M., & Tehseen, S. (2019). Knowledge management, organizational commitment and knowledge-worker performance: The neglected role of knowledge management in the public sector. Business Process Management Journal, 25(5), 923-947. https://doi.org/10.1108/BPMJ-03-2018-0079

Saati Zarei, A., Shabani, G., & Soleimani, M. (2018). Designing an employee empowerment model based on the components of talent management and organizational intelligence in the country's general sports and youth departments. Educational Sciences and Psychology, 6(24), 93-106. (Persian) https://doi.org/10.30473/fmss.2020.50590.2069

Sarfarazi, E., Yaqoubi, N., Mohammadi, M., & Jarahi, J. (2021). Surgery identifying the components of talent management with an emphasis on the permanence of knowledge resources using metacombination method. Administrative Law, 8(25), 161-184. (Persian) https://doi.org/10.52547/qjal.8.25.161

Shabane, T. S. (2017). The integration of talent management and knowledge management in the South African public service. Business Management, University Of South Africa, 1(2), 1-15. https://uir.unisa.ac.za/handle/10500/23108

Shahri, M., Niaz Azari, K., & Taghvaee Yazdi, M. (2017). Smart talent management and its relationship with meritocracy in educational systems. Iranian Journal of Educational Sociology, 1(5), 181-193. DOR: 20.1001.1.26453460.2017.1.5.15.9

Vaiman, V., & Vance, C. M. (2008). Smart talent management-building knowledge assets for competitive advantage. London: Edward Elgar Publishing Ltd. https://doi.org/10.4337/9781848442986

Walker, T. C. (2020). Inclusive talent management in the public sector: Theory and practice. Transnational Corporations Review, 12(2), 1-9. https://doi.org/10.1080/19186444.2020.1741296

Wang, M., Xu, J., Zhao, S., & Bian, S. (2022). Redefining Chinese talent management in a new context: A talent value theory perspective. Asian Pacific Journal of Human Resources, 60(2), 219-251. https://doi.org/10.1111/1744-7941.12323

Werts, C. E., Linn, R. L., & Joreskog, K. G. (1974). Intra class reliability estimates: Testing
structural assumptions. Educational and Psychological Measurement, 34(1), 25-33. https://doi.org/10.1177/001316447403400104

Whelan, E., & Carcary, M. (2011). Integrating talent and knowledge management: Where are the benefits? Journal of Knowledge Management, 15(4), 675–687. https://doi.org/10.1108/13673271111152018

Yildiz, R. O., & Esmer, S. (2021). Talent management related concepts and debates in container shipping industry by an emerging market perspective. Journal of Shipping and Trade, 6(6), 1-30. https://doi.org/10.1186/s41072-021-00090-6

‌Yumei, W., & Xiantao, W. (2009). Research on coupling of knowledge with talent management in accomplishment transformation of science and technology. In Proceedings of the 21st Chinese Control and Decision Conference (pp. 5917-5922). Guilin: China. https://doi.org/10.1109/CCDC.2009.5195260

Industrial and Organizational Psychology Studies

Providing Smart Talent Management Model In Government Organizations Using the Theme Analysis Method

References

References

Volume 11, Issue 1
April 2024
Pages 109-134

Providing Smart Talent Management Model In Government Organizations Using the Theme Analysis Method

References

References

Volume 11, Issue 1April 2024Pages 109-134

Volume 11, Issue 1
April 2024
Pages 109-134