Factors Affecting Talent Management on Organizational Performance: Evidence from Kathmandu Valley
DOI:
https://doi.org/10.3126/irjmmc.v7i1.92964Keywords:
talent management, organizational performance, smart PLS 4.0, Kathmandu valley, SEM modelAbstract
Background: Human Resource Management has evolved into a strategic function that enhances organizational performance through effective talent management. In competitive and dynamic environments, talent has become a critical asset. In the present time, organizations face talent shortages, mismatches, and retention challenges, yet empirical evidence on how talent management practices influence organizational performance remains limited.
Purpose: This study aims to examine the impact of talent management practices on private sector organizational performance within Kathmandu Valley. It further seeks to identify key challenges faced by such organizations and propose practical managerial solutions to improve talent management.
Design/methodology/approach: The study adopted both descriptive and explanatory research designs. Social Exchange Theory underpins the research, as it explains the reciprocal relationship between employers and employees in enhancing productivity. The study was conducted in the Kathmandu Valley. Data were collected using non-probability convenience sampling from 403 respondents through structured questionnaires. KOBO Toolbox, Excel, and SmartPLS 4 were used for data management and analysis. Both descriptive and inferential statistical analyses were employed.
Findings: The findings reveal that knowledge management, reward management, and training and development have significant positive effects on organizational performance, whereas personal attributes show no significant influence. The study further indicates that 94.54% of respondents perceive the existence of talent management challenges within their organizations, with biased evaluation practices being the most frequently reported issue (59.06%). To address these challenges, respondents emphasized several improvement measures, particularly the need to foster a supportive and positive working environment (54.59%).
Conclusion: In conclusion, the study confirms that effective talent management practices significantly enhance organizational performance in private sector of Kathmandu Valley.
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References
1. Al Ariss, A., Cascio, W. F., & Paauwe, J. (2014). Talent management: Current theories and future research directions. Journal of World Business, 49(2), 173–179. https://doi.org/10.1016/j.jwb.2013.11.001
2. Alhajjar, A. A., Kassim, R.-N. M., Raju, V., & Alnachef, T. (2019). Talent Management, Reward System, Employee Commitment and Bank Performance in the Syrian Banking Industy. Researchgate.Net, 7(1), 101–114. https://www.researchgate.net/profile/Anas-Alhajjar/publication/346624973
3. Almohtaseb, A. A., Shaheen, H. A. K., Alomari, K. M., & Yousef, M. A. (2020). Impact of Talent Management on Organizational Performance : The Moderating Role of an Effective Performance Management System. 15(4), 11–24. https://doi.org/10.5539/ijbm.v15n4p11
4. Alves, P., Santos, V., Reis, I., Martinho, F., Martinho, D., Sampaio, M. C., Sousa, M. J., & Au-Yong-oliveira, M. (2020). Strategic talent management: The impact of employer branding on the affective commitment of employees. Sustainability (Switzerland), 12(23), 1–21. https://doi.org/10.3390/su12239993
5. Cappelli, P. (2008). Talent Management for the Twenty-First Century Talent Management for the Twenty-First Century How We Got Here. Harvard Business Review, 1–9. www.hbr.org
6. Ciobanu, A., Androniceanu, A., & Lazaroiu, G. (2019). An integrated psycho-sociological perspective on public employees’ motivation and performance. Frontiers in Psychology, 10(JAN), 1–7. https://doi.org/10.3389/fpsyg.2019.00036
7. Cropanzano, R., Anthony, E. L., Daniels, S. R., & Hall, A. V. (2017). Social exchange theory: A critical review with theoretical remedies. Academy of Management Annals, 11(1), 479-516. https://doi.org/10.5465/annals.2015.0099
8. Devkota, N., Phuyal, R. K., & Shrestha, D. L. (2018). Perception, determinants and barriers for the adoption of climate change adaptation options among Nepalese rice farmers. Agricultural Sciences, 9(3), 272-298.
9. Fajčíková, A., Urbancová, H., & Kučírková, L. (2018). Decisive factors of talent management implementation in Czech organisations. Journal on Efficiency and Responsibility in Education and Science, 11(1), 9–15. https://doi.org/10.7160/eriesj.2018.110102
10. Fernandes, C., Veiga, P. M., Lobo, C. A., & Raposo, M. (2023). Global talent management during the COVID-19 pandemic? The Gods must be crazy! Thunderbird International Business Review, 65(1), 9–19. https://doi.org/10.1002/tie.22249
11. Gallagher, J. (2021). The Effect of Reward Management on Organisational Performance in Selected Sales Departments in Ireland. 1–74. https://norma.ncirl.ie/id/eprint/5425
12. Gao, F., Meng, M., & Clarke, S. (2008). Knowledge, management, and knowledge management in business operations. Journal of Knowledge Management, 12(2), 3–17. https://doi.org/10.1108/13673270810859479
13. Gautam, K. K. (2023). Talent Management Practices and Employee Job Satisfaction in Nepalese Commercial Banks. KIC International Journal of Social Science and Management, 2(1), 73-95. https://doi.org/10.1108/01425450710826168
14. Gelens, J., Dries, N., Hofmans, J., & Pepermans, R. (2013). The role of perceived organizational justice in shaping the outcomes of talent management: A research agenda. Human Resource Management Review, 23(4), 341–353. https://doi.org/10.1016/j.hrmr.2013.05.005
15. Ghimire, H. (2008). An assessment of the environmental problems in the Kathmandu valley of Nepal (Master's thesis, Miami University). http://rave.ohiolink.edu/etdc/view?acc_num=miami1221252415
16. Goswami, A. (2018). Human Resource Management and Its Importance for Today’s Organizations. Journal of Advances and Scholarly Researches in Allied Education, 15(3), 128-135. https://www.academia.edu/85452957
17. Gounder, S. (2012). Chapter 3 - Research methodology and research questions. Research Methodology and Research Method, March 2012, 84–193. https://doi.org/10.1002/tie.22249
18. Hair Jr., J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. https://doi.org/10.1504/ijmda.2017.10008574
19. Hamadamin, H. H., & Atan, T. (2019). The Impact of Strategic Human Resource Management Practices on the Sustainability of Competitive Advantage: The Mediation of Human Capital Development and Employee Commitment. Sustainability, 11(20), 5782. https://doi.org/10.3390/su11205782
20. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. 115–135. https://doi.org/10.1007/s11747-014-0403-8
21. Hongal, P., & Kinange, D. U. (2020). A Study on Talent Management and its Impact on Organization Performance- An Empirical Review. International Journal of Engineering and Management Research, 10(01), 64–71. https://doi.org/10.31033/ijemr.10.1.12
22. Karami, A., Dolatabadi, H. R., & Rajaeepour, D. S. (2013). Analyzing the Effectiveness of Reward Management System on Employee Performance through the Mediating Role of Employee Motivation Case Study: Isfahan Regional Electric Company. International Journal of Academic Research in Business and Social Sciences, 3(9), 327–338. https://doi.org/10.6007/ijarbss/v3-i9/215
23. Kareska, K. (2023). Human resource management strategies for achieving competitive advantage of organizations. Strategy Models for Firm Performance Enhancement eJournal, 15(20). https://eprints.uklo.edu.mk/id/eprint/10089
24. Khan, R. A. G., Khan, F. A., & Khan, M. A. (2011). Impact of Training and Development on Organizational Performance. Global Journal of Management and Business Research, 11(7), 63–69. https://globaljournals.org/GJMBR_Volume11/8-Impact-of-Training-and-Development-on-Organizational-Performance.pdf
25. Khoreva, V., Vaiman, V., & Van Zalk, M. (2017). Talent management practice effectiveness: investigating employee perspective. In Employee Relations (Vol. 39, Issue 1). https://doi.org/10.1108/ER-01-2016-0005
26. Kivunja, C. (2018). Distinguishing between theory, theoretical framework, and conceptual framework: A systematic review of lessons from the field. International journal of higher education, 7(6), 44-53. https://eric.ed.gov/?id=EJ1198682
27. Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
28. Lawaju, P., Adhikari, S. U., & Devkota, J. (2024). Impact of AI in Education: An Evidence from Use of ChatGPT in Management Education in Nepal. Quest Journal of Management and Social Sciences, 6(3), 621-642.
29. Lawaju, P., & KC A, D. N. (2024). Exploring post-COVID-19 travel intentions of foreign tourists in Nepal: An empirical study using structural equation modeling. Smart Tourism, 5(2), 2779.
30. Magar, S., Basyal, D. K., Lawaju, P., Paudel, U. R., & Poudel, D. K. (2023). Determinants of microfinance adoption, challenges encountered, and principal solutions: An empirical analysis using theory of planned behaviour. Interdisciplinary Journal of Innovation in Nepalese Academia, 2(2), 113-128.
31. Mahato, U., Devkota, N., Dhakal, K., Mahato, S., Paudel, U. R., Lawaju, P., ... & Bohaju, S. (2023). Customers’ satisfaction on buying goods at Bhatbhateni Supermarket in Nepal: Evidence from structural equation modelling. International Socioeconomic Review, 1(1), 1-14.
32. Mårtensson, M. (2000). A critical review of knowledge management as a management tool. Journal of Knowledge Management, 4(3), 204–216. https://doi.org/10.1108/13673270010350002
33. Mathibe, I. (2008). Expectancy theory and its implications for employee motivation. Academic Leadership: The Online Journal (2003-2012), 6(3), 8. https://scholars.fhsu.edu/alj/vol6/iss3/8/
34. Mbukanma, I., & Strydom, K. (2022). Adopting the Ability, Motivation and Opportunity (AMO) Theory to Enhance Employees' Performance in South African Public Service Organisations Amid the Covid-19 Outbreak. Journal of Public Administration, 57(2), 361-377. https://hdl.handle.net/10520/ejc-jpad_v57_n2_a13
35. McInerney, C. (2002). Knowledge management and the dynamic nature of knowledge. Journal of the American Society for Information Science and Technology, 53(12), 1009–1018. https://doi.org/10.1002/asi.10109
36. Mehmood, S. (2013). Managing Performance through Reward System. IOSR Journal Of Humanities And Social Science, 15(2), 64–67. https://doi.org/10.9790/0837-1526467
37. Meijerink, J. G., Bondarouk, T., & Lepak, D. P. (2016). Employees as active consumers of HRM: Linking employees’ HRM competences with their perceptions of HRM service value. Human resource management, 55(2), 219-240. https://doi.org/10.1002/hrm.21719
38. Mensah, J. K. (2015). A “coalesced framework” of talent management and employee performance: For further research and practice. International Journal of Productivity and Performance Management, 64(4), 544–566. https://doi.org/10.1108/IJPPM-07-2014-0100
39. Merga, M. K., Mason, S., & Morris, J. E. (2019). ‘The constant rejections hurt’: Skills and personal attributes needed to successfully complete a thesis by publication. Learned Publishing, 32(3), 271–281. https://doi.org/10.1002/leap.1245
40. Meyers, M. C. (2020). The neglected role of talent proactivity: Integrating proactive behavior into talent-management theorizing. Human Resource Management Review, 30(2), 100703. https://doi.org/10.1016/j.hrmr.2019.100703
41. Mia, M. M., Zayed, N. M., Islam, K. M. A., Nitsenko, V., Matusevych, T., & Mordous, I. (2022). The Strategy of Factors Influencing Learning Satisfaction Explored by First and Second-Order Structural Equation Modeling (SEM). Inventions, 7(3). https://doi.org/10.3390/inventions7030059
42. Mohammed, A. A., Gururajan, R., & Hafeez-Baig, A. (2017). Primarily investigating into the relationship between talent management & knowledge management in business environment. Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017, 1(1), 1131–1137. https://doi.org/10.1145/3106426.3109444
43. Mohd Dzin, N. H., & Lay, Y. F. (2021). Validity and reliability of adapted self-efficacy scales in Malaysian context using PLS-SEM approach. Education Sciences, 11(11), 676. https://doi.org/10.3390/educsci11110676
44. Naing, N. N. (2003). Determination of sample size. Malaysian Journal of Medical Sciences, 10(2), 84–86. https://pmc.ncbi.nlm.nih.gov/articles/PMC3561892/
45. Nunhes, T. V., Ferreira Motta, L. C., & de Oliveira, O. J. (2016). Evolution of integrated management systems research on the Journal of Cleaner Production: Identification of contributions and gaps in the literature. Journal of Cleaner Production, 139, 1234–1244. https://doi.org/10.1016/j.jclepro.2016.08.159
46. Otoo, F. N. K. (2019). Human resource management (HRM) practices and organizational performance: The mediating role of employee competencies. Employee Relations: The International Journal, 41(5), 949-970. https://doi.org/10.1108/ER-02-2018-0053
47. Pradhan, G. M. (2022). Impact of Reward Systems on Employee Performance of Service Sector Institutions in Nepal. The Batuk, 8(2), 1–13. https://doi.org/10.3126/batuk.v8i2.47008
48. Ravand, H., & Baghaei, P. (2016). Partial least squares structural equation modeling with R. Practical assessment, research & evaluation, 21(11), n11. https://eric.ed.gov/?id=EJ1115196
49. Rodriguez, J., & Walters, K. (2017). The Importance of Training and Development in Employee Performance and Evaluation. International Journal Peer Reviewed Journal Refereed Journal Indexed Journal UGC Approved Journal Impact Factor, 3(10), 206–212. www.wwjmrd.com
50. Sestri Goestjahjanti, F., Novitasari, D., Hutagalung, D., Asbari, M., Supono, J., & Pembangunan, S. (2020). IMPACT OF TALENT MANAGEMENT, AUTHENTIC LEADERSHIP AND EMPLOYEE ENGAGEMENT ON JOB SATISFACTION: EVIDENCE FROM SOUTH EAST ASIAN INDUSTRIES Quality Management Strategies View project HR Management View project Dewiana Novitasari JOURNAL OF CRITICAL REVIEWS I. Researchgate.Net, 7(July), 67–88.
51. Shahi, T., Farrokhsheresht, B., & Taghipourian, M. J. (2020). Behavioral Factors Affecting Talent Management : Meta - Synthesis Technique. 13(1), 117–137. https://doi.org/10.22059/ijms.2019.283845.673684
52. Shrestha, H. L. (2021). Trends in Urban Expansion in Kathmandu Valley, Nepal (Doctoral dissertation, University of Salzburg, Austria). https://unigis.at/files/Mastertheses/Full/105540.pdf
53. Simkhada, A. (2023). Impact of succession planning practices on the profitability of Nepalese commercial banks. International Journal of Emerging Trends in Social Sciences, 14(1), 1–11. https://doi.org/10.55217/103.v14i1.595
54. Simkhada, A. (2023). Impact of succession planning practices on the profitability of Nepalese commercial banks. International Journal of Emerging Trends in Social Sciences, 14(1), 1–11. https://doi.org/10.55217/103.v14i1.595
55. Sonnenberg, M., van Zijderveld, V., & Brinks, M. (2014). The role of talent-perception incongruence in effective talent management. Journal of World Business, 49(2), 272–280. https://doi.org/10.1016/j.jwb.2013.11.011
56. Ugwu, K. E., & Osisioma, H. E. (2017). Talent management and performance of selected commercial banks in Owerri, Imo State, Nigeria. International Journal of Management, Accounting and Economics, 4(3), 282–310. https://doi.org/10.18488/journal.66.2020.71.1.13
57. Wadhwa, S., & Tripathi, R. (2018). Driving employee performance through talent management. 4(4), 288–313. https://doi.org/10.1504/IJEWE.2018.093412
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