The Study of Human Capital Potential in the Public Sector through the Talent Value Chain and Human Capital Analytics Techniques
Main Article Content
Abstract
The concept of studying human capital potential has continuously evolved across economic, social, and managerial perspectives, emphasizing planning for assessing, analyzing, and making decisions related to human capital. Indicators, tools, and various metrics have been applied to identify the value of personnel and high-potential employees. This study presents human capital analytics models derived from an examination of human capital management in the public sector in two main areas: (1) identifying human capital management approaches aligned with public organizations’ smart governance capabilities, and (2) evaluating high-potential talent management practices, the value delivered by high-potential employees, and the value gained by public organizations—referred to as talent value chain management—as well as analyzing the linkages among talent management practices, value delivered, and organizational value received. The findings contribute to the development of human capital analytics models that integrate perspectives on human capital management and high-potential talent management, aligned with the digital competencies and strategic talent requirements of public sector organizations. These models aim to support human capital planning and provide executives with tools for more effective human capital planning and development.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
1) The content of article in HROD journal is the author’s wholly responsibility to research, analyze, summarize, compile, and reference data. The editorial department will not be responsible in anyway.
2) The submitted articles in HROD journal must be unpublished before and must not be currently under consideration for publication elsewhere. If it is detected for its repetition, the author must be responsible for infringement of copyright.
3) Authors will be asked to transfer copyright of the article to the Publisher. The article is prohibited to reproduce all or part of the text, unless allowed.
References
Alfaraby, A., & Sinambela, L. P. (2025). Human capital development strategies in improving the performance of the general and financial bureaus of the Indonesian Quarantine Agency. International Journal of Management Science and Information Technology, 5(1), 20–26. https://doi.org/10.35870/ijmsit.v5i1.3619
Anderson, M. W. (2004). The metrics of workforce planning. Public Personnel Management, 33(4), 363–378. https://doi.org/10.1177/009102600403300402
Birou, L., & Van Hoek, R. (2022). Supply chain management talent: The role of executives in engagement, recruitment, development and retention. Supply Chain Management: An International Journal, 27(6), 712–727. https://doi.org/10.1108/SCM-08-2020-0418
Blass, E. (2007). Talent management: Maximising talent for business performance. Chartered Management Institute.
Boudreau, J. W., & Ramstad, P. M. (2007). Beyond HR: The new science of human capital. Harvard Business School Press.
Cappelli, P. (2008). Talent management for the twenty-first century. Harvard Business Review, 86(3), 74–81, 133.
Collings, D. G., & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human Resource Management Review, 19(4), 304–313. https://doi.org/10.1016/j.hrmr.2009.04.001
Coulson-Thomas, C. (2012). Talent management and building high performance organisations. Industrial and Commercial Training, 44(7), 429–436. https://doi.org/10.1108/00197851211268027
Curtis, B., Hefley, W. E., & Miller, S. A. (2009). The People CMM: A framework for human capital management (2nd ed.). Addison-Wesley Professional.
Filos, E. (2006). Smart organizations in the digital age. In I. Mezgár (Ed.), Integration of ICT in smart organizations (pp. 1–38). IGI Global. https://doi.org/10.4018/978-1-59140-390-6.ch001
Galinec, D. (2010). Human capital management process based on information technology models and governance. International Journal of Human Capital and Information Technology Professionals, 1(1), 44–60. https://doi.org/10.4018/jhcitp.2010091104
Gautam, P. K., & Gautam, R. R. (2022). Investing in human capital management for firm performance: Liability or strategic alignment? Management Dynamics, 25(2), 39–53. https://doi.org/10.3126/md.v25i2.57426
Huang, J., Balezentis, T., Shen, S., & Streimikiene, D. (2023). Human capital mismatch and innovation performance in high-technology enterprises: An analysis based on the micro-level perspective. Journal of Innovation & Knowledge, 8(4), Article 100452. https://doi.org/10.1016/j.jik.2023.100452
Jones, C., & Pimdee, P. (2017). Innovative ideas: Thailand 4.0 and the fourth industrial revolution. Asian International Journal of Social Sciences, 17(1), 4–35. https://doi.org/10.29139/aijss.20170101
Kaehler, B., & Grundei, J. (2019). HR governance as a part of the corporate governance concept. In HR governance: A theoretical introduction (pp. 27–50). Springer. https://doi.org/10.1007/978-3-319-94526-2_3
Matimbwa, H., & Olatokun, W. (2024). Human capital management information system: Scope of application and challenges facing the public sector in Tanzania. Regional Journal of Information and Knowledge Management, 9(1), 29–46. https://doi.org/10.70759/z51tef79
Meijer, A., & Rodríguez Bolívar, M. P. (2016). Governing the smart city: A review of the literature on smart urban governance. International Review of Administrative Sciences, 82(2), 392–408. https://doi.org/10.1177/0020852314564308
McKinsey & Company. (2011, January 1). Talent System Assessment Tool (TSAT). https://www.mckinsey.com/industries/electric-power-and-natural-gas/our-insights/talent-system-assessment-tool
Ngamsirijit, W. (2019). Talent management through integration of talent value chain and human capital analytics approaches. International Journal of Economics and Management Engineering, 13(6), 853–856. https://doi.org/10.5281/zenodo.3299473
Nicolaescu, S. S., Florea, A., Kifor, C. V., Fiore, U., Cocan, N., Receu, I., & Zanetti, P. (2020). Human capital evaluation in knowledge-based organizations based on big data analytics. Future Generation Computer Systems, 111, 654–667. https://doi.org/10.1016/j.future.2019.09.048
Saputra, A., Wang, G., Zhang, J. Z., & Behl, A. (2022). The framework of talent analytics using big data. The TQM Journal, 34(1), 178–198. https://doi.org/10.1108/TQM-03-2021-0089
da Silva, A. O., & Fernandes, R. A. S. (2020). Smart governance based on multipurpose territorial cadastre and geographic information system: An analysis of geoinformation, transparency and collaborative participation for Brazilian capitals. Land Use Policy, 97, Article 104752. https://doi.org/10.1016/j.landusepol.2020.104752
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. https://doi.org/10.1016/j.hrmr.2015.04.002
Handayani, N. S., Cahaya, R., & Shaddiq, S. (2025). Integrating human resource information systems (HRIS) into Industry 4.0 and Society 5.0: Toward a smarter and more strategic human capital management. AT-TAKLIM: Jurnal Pendidikan Multidisiplin, 2(7), 349–366. https://doi.org/10.71282/at-taklim.v2i7.700
OPM’s workforce planning model. https://www.opm.gov/policy-data-oversight/human-capital-framework/reference-materials/strategic-alignment/workforceplanning.pdf
Zula, K. J., & Chermack, T. J. (2007). Integrative literature review: Human capital planning: A review of literature and implications for human resource development. Human Resource Development Review, 6(3), 245–262. https://doi.org/10.1177/1534484307303762