Reshaping the future of HR: Human Resource Analytics and Talent Management

Authors

  • Dr. Zahra Ishtiaq Paul Assistant Professor, Institute of Administrative Sciences, University of the Punjab, Lahore, Pakistan Author
  • Hafiz Muhammad Sohail Khan Adjunct Faculty, Institute of Business and Information Technology, University of the Punjab, Lahore, Pakistan Author

DOI:

https://doi.org/10.61506/01.00334

Keywords:

HR Analytics, Talent Management, Organizational Performance, Resource Based theory, Pakistan, Mediation

Abstract

Purpose

Strategic human resource management is needed in the fast-changing 21st century company environment. Organizations must find new ways to maximize their personnel since human resources management is crucial to success. Human Resource (HR) Analytics has gained significant recognition as a powerful tool in this pursuit, offering valuable insights into HR-related data that facilitate well-informed decision-making. This study analyzes HR analytics and organizational performance, with talent management as a mediating variable.

Design / methodology /Approach

It is a descriptive and explanatory study conducted to analyze the relationship among studied variables. A mixed method approach has been used in which qualitative data was collected through twenty-four interviews and quantitative data from a sample of 245 respondents was drawn through purposive sampling. SPSS analyses quantitative data, while NVivo analyzes qualitative data.

Findings

Current research helps organizations obtain a competitive edge in a world that is increasingly competitive. The significant findings of the study indicated that HR Analytics plays an important role in organizational performance in the presence of talent management as a mediating variable.

Research Limitations

The cross-sectional design was used; a longitudinal investigation could provide more information. The understudied variable relationships are studied in the corporate sector only.

Practical implications

The research findings emphasize the importance of HR analytics on the success of the corporate sector in Pakistan. This study demonstrated the effectiveness of human resource analytics in enhancing organizational performance by employing talent management.

Originality /value

The research findings will make an important contribution to resource-based theory in the context of Pakistan as a developing South Asian country.

References

Abbas, G., Hussain, A., & Hassan, S. I. (2023). Exploring the moderating role of talent management amid employer branding and employees’performance. Journal of Social Research Development, 4(1), 108-115. DOI: https://doi.org/10.53664/JSRD/04-01-2023-09-108-115

Abellán-Sevilla, A. J., & Ortiz-de-Urbina-Criado, M. (2023). Smart human resource analytics for happiness management. Journal of Management Development. DOI: https://doi.org/10.1108/JMD-03-2023-0064

Alam, S., Alam, R., & Mubeen, H. (2021). Enhancing Organizational Performance Through Talent Management Practices. Bahria University Journal of Humanities & Social Sciences, 4(2), 18-38.

Al Awadhi, T. H., & Muslim, S. B. (2023). Reviewing the relation between human resources practices, talent management and succession planning in UAE public sector. Information Sciences Letters, 12(4). DOI: https://doi.org/10.18576/isl/120442

Ali, E., & Elias, H. (2023, January). Potential Application of HR Analytics to Talent Management in the Public Sector: a Literature Review. In 2023 International Conference On Cyber Management And Engineering (CyMaEn) (pp. 8-11). DOI: https://doi.org/10.1109/CyMaEn57228.2023.10051107

Ameer, A., Garg, P., & Singh, H. (2023). Impact of HR Analytics Competencies On Organizational Performance. Journal of Pharmaceutical Negative Results, 133-140.

Avedon, M. J., & Scholes, G. (2010). Building competitive advantage through integrated talent management. Strategy-driven talent management: A leadership imperative, 73-121.

Bankar, S., & Manna, R. (2023). Adoption of HR analytics for enhancing business performance: trend analysis. In Journal of Xidian University.17(3), 234- 247.

Bizzi, L. (2023). Why to gamify performance management? Consequences of user engagement in gamification. Information & Management, 60(3), 103762. DOI: https://doi.org/10.1016/j.im.2023.103762

Bonilla-Chaves, E. F., & Palos-Sánchez, P. R. (2023). Exploring the evolution of human resource analytics: a bibliometric study. Behavioral Sciences, 13(3), 244. DOI: https://doi.org/10.3390/bs13030244

Chaudhuri, S., Hirudayaraj, M., & Ardichvili, A. (2018). Borrow or grow: An overview of talent development/management practices in Indian IT organizations. Advances in Developing Human Resources, 20(4), 460-478. DOI: https://doi.org/10.1177/1523422318803345

Chen, X., Al Mamun, A., Hussain, W. M. H. W., Jingzu, G., Yang, Q., & Shami, S. S. A. A. (2023). Envisaging the job satisfaction and turnover intention among the young workforce: Evidence from an emerging economy. Plos one, 18(6), e0287284. DOI: https://doi.org/10.1371/journal.pone.0287284

Chen, S., & Yu, D. (2023). What Drives Business Model Innovation? Exploring the Role of Knowledge Management Capability in Chinese Top-Ranking Innovative Enterprises. Journal of the Knowledge Economy, 1-35. DOI: https://doi.org/10.1007/s13132-023-01281-1

Cho, W., Choi, S., & Choi, H. (2023). Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats. Administrative Sciences, 13(2), 41. DOI: https://doi.org/10.3390/admsci13020041

Conte, F., & Siano, A. (2023). Data-driven human resource and data-driven talent management in internal and recruitment communication strategies: an empirical survey on Italian firms and insights for European context. Corporate Communications: An International Journal, 28(4), 618-637. DOI: https://doi.org/10.1108/CCIJ-02-2022-0012

Cosa, M., & Urban, B. (2023). A Systematic Review of Performance Measurement Systems and Their Relevance to Social Enterprises. Journal of Social Entrepreneurship, 1-29. DOI: https://doi.org/10.1080/19420676.2023.2236628

Dametor, E., & Amanawa, D. E. (2023.) An Appraisal of the Conceptual Foundations, Evaluation, Development, and use of Performance Management Tools and Systems. ISSN: 2643-900X

Douthitt, S., & Mondore, S. (2014). Creating a business-focused HR function with analytics and integrated talent management. People and Strategy, 36(4), 16.

Edwards, M. R., & Edwards, K. (2019). Predictive HR analytics: Mastering the HR metric. Kogan Page Publishers.

Ejikeme, E. (2023). Best Practices for Developing Cybersecurity Graduates for the Global Cybersecurity Workforce (Doctoral dissertation, University of Maryland University College).

Fenech, R., Baguant, P., & Ivanov, D. (2019). The changing role of human resource management in an era of digital transformation. Journal of Management Information & Decision Sciences, 22(2), 1-10.

Fitria, N., Wijayanti, I., Santoso, A. B., Romadon, S., & Kraugusteeliana, K. (2023). The Role of Management Information Systems in Human Resource Competency Development. Jurnal Minfo Polgan, 12(1), 1387-1396. DOI: https://doi.org/10.33395/jmp.v12i1.12764

Gemedu, W. E., & Dhason, P. (2023). Review of Talent Management, Organizational Commitment and Organizational Performance. Antony, Review of Talent Management, Organizational Commitment and Organizational Performance. DOI: https://doi.org/10.2139/ssrn.4539407

Guenole, N., Ferrar, J., & Feinzig, S. (2017). The power of people: Learn how successful organizations use workforce analytics to improve business performance. FT Press.

Gurusinghe, R. N., Arachchige, B. J., & Dayarathna, D. (2021). Predictive HR analytics and talent management: a conceptual framework. Journal of Management Analytics, 8(2), 195-221. DOI: https://doi.org/10.1080/23270012.2021.1899857

Hoang, H., & Le Tan, T. (2023). Unveiling digital transformation: Investigating technology adoption in Vietnam's food delivery industry for enhanced customer experience. Heliyon. DOI: https://doi.org/10.1016/j.heliyon.2023.e19719

Horesh, R., Varshney, K. R., & Yi, J. (2016, December). Information retrieval, fusion, completion, and clustering for employee expertise estimation. In 2016 IEEE International Conference on Big Data (Big Data) (pp. 1385-1393). DOI: https://doi.org/10.1109/BigData.2016.7840746

Huang, X., Yang, F., Zheng, J., Feng, C., & Zhang, L. (2023). Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review. DOI: https://doi.org/10.1016/j.apmrv.2023.04.004

Iqbal, S., Qureshi, T. M., Khan, M. A., & Hijazi, S. T. (2013). Talent management is not an old wine in a new bottle. African Journal of Business Management, 7(36), 3609. DOI: https://doi.org/10.5897/AJBM11.855

Jain, E., Chopra, T., & Sharma, S. K. (2023, February). Reinventing Human Resource Management in the Era of Artificial Intelligence. In ICASDMBW 2022: Proceedings of the International Conference on Application of AI and Statistical Decision Making for the Business World, ICASDMBW 2022, 16-17 December 2022, Rukmini Devi Institute of Advanced Studies, Delhi, India (p. 86). European Alliance for Innovation. DOI: https://doi.org/10.4108/eai.16-12-2022.2326241

Jain, P., Tripathi, V., Malladi, R., & Khang, A. (2023). Data-Driven Artificial Intelligence (AI) Models in the Workforce Development Planning. In Designing Workforce Management Systems for Industry 4.0 (pp. 159-176). CRC Press. DOI: https://doi.org/10.1201/9781003357070-10

Kareska, K. (2023). Human resource management strategies for achieving competitive advantage of organizations. DOI: https://doi.org/10.2139/ssrn.4514970

Kiran, P. V. S. (2023). Effect Of Hr Analytics, Human Capital Management On Organisational Performance.

Kiran, P. R., Chaubey, A., & Shastri, R. K. (2023). Role of HR analytics and attrition on organisational performance: a literature review leveraging the SCM-TBFO framework. Benchmarking: An International Journal. DOI: https://doi.org/10.1108/BIJ-06-2023-0412

Krishnan, L. R. K. (2023). Employee Engagement Driven By AI and ML and Mediated by Progressive Work Practices-An IT Industry Perspective.

Lamar, A. D. (2023). Unlocking the Talent Puzzle: Examining the Impact of Job Satisfaction, Organizational Commitment, and Career Development on Talent Attraction and Retention.

Lokesh, G. R., & Harish, K. S. (2023). Synergizing an Intelligent Communication Terminal: An Evolution of a Sophisticated HRM Framework Empowered by Augmented Analytics. Remittances Review, 8(4).

Loscher, G. J., & Bader, V. (2023). Creating accountability through HR analytics–An audit society perspective. Human Resource Management Review, 100974. DOI: https://doi.org/10.1016/j.hrmr.2023.100974

Madhani, P. M. (2023). Human Resources Analytics: Leveraging Human Resources for Enhancing Business Performance. Compensation & Benefits Review, 55(1), 31-45. DOI: https://doi.org/10.1177/08863687221131730

Maghsoudi, M., Shahri, M. K., Kermani, M. A. M. A., & Khanizad, R. (2023). Unveiling the Collaborative Patterns of Artificial Intelligence Applications in Human Resource Management: A Social Network Analysis Approach. arXiv preprint arXiv.

Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR Analytics. The International Journal of Human Resource Management, 28(1), 3-26. DOI: https://doi.org/10.1080/09585192.2016.1244699

Mer, A. (2023). Artificial Intelligence in Human Resource Management: Recent Trends and Research Agenda. Digital Transformation, Strategic Resilience, Cyber Security and Risk Management, 111, 31-56. DOI: https://doi.org/10.1108/S1569-37592023000111B003

Mukhuty, S., Upadhyay, A., & Rothwell, H. (2022). Strategic sustainable development of Industry 4.0 through the lens of social responsibility: The role of human resource practices. Business Strategy and the Environment, 31(5), 2068-2081. DOI: https://doi.org/10.1002/bse.3008

Ngonyama-Ndou, T. (2023). Talent Acquisition Practices in South Africa. In Managing Human Resources in Africa: A Critical Approach (pp. 53-77). Cham: Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-33878-6_3

Nocker, M., & Sena, V. (2019). Big data and human resources management: The rise of talent analytics. Social Sciences, 8(10), 273. DOI: https://doi.org/10.3390/socsci8100273

Nyathi, M., & Kekwaletswe, R. (2023). Realizing employee and organizational performance gains through electronic human resource management use in developing countries. African Journal of Economic and Management Studies, 14(1), 121-134. DOI: https://doi.org/10.1108/AJEMS-11-2021-0489

Oueidat, D. (2022). The relationship between Talent Acquisition and Organizational Performance (Doctoral dissertation, Lebanese American University).

Pandey, P., & Singh, P. (2023). The impact of human resources information systems on efficiency and effectiveness in the pharmaceutical industry. EPRA International Journal of Environmental Economics, Commerce and Educational Management (ECEM), 10(7), 74-81. DOI: https://doi.org/10.36713/epra13964

Peeters, T., Paauwe, J., & Van De Voorde, K. (2020). People analytics effectiveness: developing a framework. Journal of Organizational Effectiveness: People and Performance, 7(2), 203-219. DOI: https://doi.org/10.1108/JOEPP-04-2020-0071

Penpokai, S., Vuthisopon, S., & Saengnoree, A. (2023). The relationships between technology adoption, HR competencies, and HR analytics of large-size enterprises. International Journal of Professional Business Review, 8(3), e0971-e0971. DOI: https://doi.org/10.26668/businessreview/2023.v8i3.971

Perano, M., Cammarano, A., Varriale, V., Del Regno, C., Michelino, F., & Caputo, M. (2023). Embracing supply chain digitalization and unphysicalization to enhance supply chain performance: a conceptual framework. International Journal of Physical Distribution & Logistics Management. DOI: https://doi.org/10.1108/IJPDLM-06-2022-0201

Promise-Elechi, K. C., & Onuoha, B. C. (2023). Talent Development and Firm Resilience of Hotels in Port Harcourt, Nigeria. Research Journal of Management Practice| ISSN, 2782, 7674.

Qamar, Y., & Samad, T. A. (2022). Human resource analytics: a review and bibliometric analysis. Personnel Review, 51(1), 251-283. DOI: https://doi.org/10.1108/PR-04-2020-0247

Ramachandran, R., Babu, V., & Murugesan, V. P. (2023). Human resource analytics revisited: a systematic literature review of its adoption, global acceptance and implementation. Benchmarking: An International Journal. DOI: https://doi.org/10.1108/BIJ-04-2022-0272

Rimsha Ameer, D. P. G., & Singh, H. (2023). Impact Of Hr Analytics Competencies On Organizational Performance. Journal of Pharmaceutical Negative Results, 133-140.

Setyawan, A. (2021). The Role of Organizational Culture in the Influence of HR Practices, Knowledge Management, and Talent Management on Organizational Performance. JDM (Jurnal Dinamika Manajemen), 12(2), 275-284. DOI: https://doi.org/10.15294/jdm.v12i2.30980

Shet, S. V., Poddar, T., Samuel, F. W., & Dwivedi, Y. K. (2021). Examining the determinants of successful adoption of data analytics in human resource management–A framework for implications. Journal of Business Research, 131, 311-326. DOI: https://doi.org/10.1016/j.jbusres.2021.03.054

Singh, R., Sharma, P., Foropon, C., & Belal, H. M. (2022). The role of big data and predictive analytics in the employee retention: a resource-based view. International Journal of Manpower, 43(2), 411-447. DOI: https://doi.org/10.1108/IJM-03-2021-0197

Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. California Management Review, 61(4), 15–42. DOI: https://doi.org/10.1177/0008125619867910

Van De Voorde, K., Paauwe, J., & Van Veldhoven, M. (2012). Employee well‐being and the HRM–organizational performance relationship: a review of quantitative studies. International Journal of Management Reviews, 14(4), 391-407. DOI: https://doi.org/10.1111/j.1468-2370.2011.00322.x

van Zyl, E. S., Mathafena, R. B., & Ras, J. (2017). The development of a talent management framework for the private sector. SA Journal of Human Resource Management, 15(1), 1-19. DOI: https://doi.org/10.4102/sajhrm.v15i0.820

Waheed, S., Zaim, A., & Zaim, H. (2013). Talent management in four stages. The USV Annals of Economics and Public Administration, 12(1 (15)), 130-137.

Wheelen, T. L., Hunger, J. D., Hoffman, A. N., & Bamford, C. E. (2023). Strategic Management and Business Policy: Globalization, Innovation, and Sustainability. Pearson.

Willis, A. G. (2023). Strategies to Increase Competitive Advantage in the Automotive Manufacturing Supply Chain (Doctoral dissertation, Walden University).

Wolfe, R., Wright, P. M., & Smart, D. L. (2006). Radical HRM innovation and competitive advantage: The Moneyball story. Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in Alliance with the Society of Human Resources Management, 45(1), 111-145. DOI: https://doi.org/10.1002/hrm.20100

Zhang, Y., Xu, S., Zhang, L., & Yang, M. (2021). Big data and human resource management research: An integrative review and new directions for future research. Journal of Business Research, 133, 34-50. DOI: https://doi.org/10.1016/j.jbusres.2021.04.019

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Published

2024-06-01

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How to Cite

Paul, Z. I., & Khan, H. M. S. (2024). Reshaping the future of HR: Human Resource Analytics and Talent Management. Bulletin of Business and Economics (BBE), 13(2), 332-340. https://doi.org/10.61506/01.00334