Smart Human Resource Management: Theoretical Issues and Practical Applications

Authors

Keywords:

Smart HRM, Artificial Intelligence, Digital Transformation, HR Analytics, Workforce Sustainability, Case Studies

Abstract

The rapid digital transformation of organizations has redefined the role of human resources, positioning technology as a strategic enabler of efficiency and competitiveness. This paper explores the theoretical foundations and practical implementations of Smart Human Resource Management (Smart HRM), which integrates artificial intelligence (AI), automation, and data analytics into HR processes.

The main objective of this study is to analyse how Smart HRM principles enhance organizational performance by transforming traditional HR practices into data-driven, technology-enabled systems that support strategic decision-making and workforce sustainability.

A qualitative research approach was employed, combining social network analysis with an extensive review of literature and case studies from international corporations (IBM, Workday, Communicorp UK) and Central European organizations (Smart Solutions, Accace, PwC Slovakia).

The study demonstrates that Smart HRM increases operational efficiency, reduces administrative workload, and enhances employee engagement and retention through AI-based automation and predictive analytics. Implementation examples show significant productivity gains and cost savings.

Smart HRM transforms HR from an administrative function into a strategic, data-informed business partner. While its benefits are substantial, ethical use of AI and responsible workforce adaptation remain critical for long-term success.

 

Author Biography

  • Assoc. Prof. Renata Jezkova, PhD., NEWTON University

    Experience:

    9/2021 - present - NEWTON University in Brno, Centre for Management; lecturer

    1/2013 - present - Sting college in Brno; lecturer

    9/2007 - 1/2013 - Sladkovicovo college; head of Economics and Management Centre; vice-rector for interanationalization; lecturer

    9/2006 - 1/2013 - Paneuropean University in Bratislava, Faculty of Economics and Business; lecturer

    10/1999 - 1/2005 - University of Ss. Cyril and Method in Trnava, Faculty of massmedia comunication; lecturer

    Education:

    9/2009 - Presov University in Presov, Fakulty of Management; Associated Professor in Management 

    9/1999 - 6/2005 - University of Economy in Bratislava; Philosophie Doctor 

    9/1997 - 9/1999 - Comenius University in Bratislava; Faculty of Management; Master of Science

    9/1993 - 6/1999 - Slovak Technical University, Faculty of Materials and Technologies; Engineer

     

References

[1] Abdullah, A.A., Khanom, M., Yusuf, A., Tanko, M.: Utilizing blockchain and smart contracts to enhance transparency and efficiency in human resources management processes: a conceptual approach. pp. 350-358. https://ibaf.usim.edu.my, last accessed 2025/02/24

[2] Accace Homepage, https://www.accace.com, last accessed 2025/02/24

[3] Accace: Payroll and HR platform. https://accace.com/outsourcing/payroll/payroll-and-hr-platform/?, last accessed 2025/01/15

[4] Accacce: Payroll Services In Slovakia. https://accace.com/locations/slovakia/payroll-services/?, last accessed 2025/08/15

[5] Accace: Meet our HR department in Slovakia: We are all different, but we complete each other like a puzzle. / People of Accace. https://accace.com/hr-department-in-slovakia-people-of-accace/?, last accessed 2024/07/10

[6] Accace: How to implement pay transparency in Slovakia in practice / News Flash. https://accace.com/pay-transparency-in-slovakia/?, last accessed 2025/04/17

[7] Accace: Case study: Acounting and HR Services at a large Scale. https://accace.com/about-us/case-studies/complex-financial-outsourcing-large-business/?, last accessed 2025/08/27

[8] Accacecircle: Extensive payroll operations and HR administration. Case study. https://circle.accace.com/case-studies/extensive-payroll-operations-and-hr-administration/?, last accessed 2025/01/26

[9] Adli, M., Saleki, R.: A review on the effect of employee satisfaction on human resource management productivity and cost efficiency, Report and Opinion, Vol. 6 No. 6, pp. 73-79 (2014)

[10] Andersen, B., Fagerhaug, T.: Performance Measurement Explained: Designing and Implementing Your State-Of-The-Art System, The American Society for Quality Press (2002)

[11] Avado: How HR is Lading the Future of digital transformation? https://www.avadolearning.com/blog/how-hr-is-leading-the-future-of-digital-transformation/?, last accessed 2025/05/02

[12] Badran, O. N., Elhawi, R., Attal, M., Omeish, F., Marsap, A.: Effect of HRM exogenous influences on job satisfaction: AI triggered downsizing, following Covid-19 hybrid work culture, & profession difficulties. Journal of Infrastructure, Policy and Development. 8(15): 9675. EnPress Publisher, LLC (2024)

[13] Basnet, S.: The Impact of AI-Driven Predictive Analytics on Employee Retention Strategies. International Journal of Research and Review, Vol. 11 Issue 9 (2024). https://www.researchgate.net/publication/383791091_The_Impact_of_AI Driven_Predictive_Analytics_on_Employee_Retention_

Strategies, last accessed 2025/08/24

[14] Bersin, J.: What Is Workday Illuminate? https://joshbersin.com/2024/09/what-is-workday-illuminate/?, last accessed 2025/08/21

[15] Boundarouk, T., Parry, E. and Furtmueller, E.: Electronic HRM: four decades of research on adoption and consequences. The International Journal of Human Resource Management, vol. 28, No. 1, pp. 98-131 (2017)

[16] ChannelPro: Workday snaps up AI-powered conversation recruitment platform, Paradox., https://www.itpro.com/business/acquisition/workday-snaps-up-ai-powered-conversation-recruitment-platform-paradox?, last accessed 2025/08/21

[17] Chaouda, Renouveau & Démocratie: Flexible Working and Tele/Work From Anywhere in a modern EU Administration, https://renouveau-democratie.eu/2025/01/29639/?, last accessed 2025/08/28

[18] Clark, G., Horan, J.J., Tompkins-Bjorkman, A., Kovalski, T. and Hackett, G.: Interactive career counselling on the internet. Journal of Career Assessment, Vol. 8 No.1, pp. 85-93 (2000)

[19] Cobler, N.: Five questions with IBM´s Nickle LaMoreaux, https://www.axios.com/local/austin/2024/03/25/five-questions-with-ibms-nickle-lamoreaux?, last accessed 2024/03/25

[20] Communicorp UK Homepage, https://www.communicorpuk.com, last accessed 2025/01/04

[21] Derouin, R.E., Fritzsche, B.A. and Salas, E.: E-Learning in organizations. Journal of Management, Vol.31, No.6, pp. 920-940 (2005)

[22] Dignan, L.: Workday Rising 2024: AI, Illuminate, Al agents, Evisort acquisition. Constellation research. https://www.constellationr.com/blog-news/insights/workday-rising-2024-ai-illuminate-ai-agents-evisort-acquisition?, last accessed 2025/01/25

[23] Dulebohn, J. H. and Marler, J. H.: E-Compensation: the potential to transform practice? In: Gueutal, H.G. and Stone, D.L. (Eds.), The Brave New World of E-HR: Human Resources Management in the Digital Age, John Wiley & Sons, San Francisco, pp. 166—189 (2005)

[24] Employment hero: AI and payroll: How it’s transforming the industry, https://employmenthero.com/uk/resources/how-will-ai-change-payroll-industry/?, last accessed 2025/08/21

[25] EPR: The European Commission adopted a green and inclusive Human Resources Strategy, https://www.epr.eu/the-european-commission-adopted-a-green-and-inclusive-human-resources-strategy/?, last accessed 2025/08/25

[26] Estes, P.: How AI Predictive Analytics is Solving HR´s Biggest Challenges, https://www.virtasant.com/ai-today/how-ai-predictive-analytics-is-solving-hrs-biggest challenges? , last accessed 2024/10/30

[27] European Commission, https://www.european.commission.eu, last accessed 2024/12/01

[28] European Commission: Modernising the European Commission. The European Commission's new Human Resources strategy presents a vision for a modern, flexible and values-driven organisation. https://commission.europa.eu/about/service-standards-and-principles/modernising-european-commission_en?, last accessed 2025/08/01

[29] European Commission: Communication to the Commission - A new Human Resources Strategy for the Commission. https://commission.europa.eu/about/service-standards-and-principles/modernising-european-commission_en?, last accessed 2025/08/01

[30] European Commission: Management Plan 2024. Directoriate-General for Human Resources and Security. https://www.european.commission.eu, last accessed 2024/12/01

[31] Gärtner, Ch.: Smart HRM: Digitale Tools für die Personalarbeit.1st edn. Springer Gabler, Wiesbaden (2020)

[32] Gärtner, Ch., Kern, D.: Smart HRM in 2030: Conversational HR, Connected Robotics, and Controlled Analytics. In: S. Guldenberg et al. (eds.) Managing Work in the Digital Economy, Future of Business and Finance, pp. 203-221. Springer Nature Switzerland AG (2021)

[33] Google Homepage, https://www.about.google, last accessed 2024/12/01

[34] Guenole, N. and Feinzig, Sh.: The Business Case for AI in HR. With insights and Tips on Getting Started.. https:/www.forms.workday.com/ibm-business-case-ai-in-hr, last accessed 2025/08/21

[35] Gupta, D.: How DAPs Empower HR Teams & Drive HR Transformation. www.whatfix.com, last accessed 2025/08/21

[36] Happeo: How AI is Shaping the Next Generation of Intranets for HR. https://www.happeo.com/contributors/how-ai-is-shaping-the-next-generation-of-intranets-for-hr?, last accessed 2025/02/21

[37] Hayes, M. and Downie, A.: Artificial Intelligence for Human Resources. https://www.ibm.com/think/topics/ai-in-hr?, last accessed 2025/06/06

[38] Heery, E. and Noon, M.: A Dictionary of Human Resource Management, Oxford University Press, Oxford (2001)

[39] Horváthová, P., Mikušová, M., Kashi, K.: Comparison of Human Resources Management in Non family and Family Businesses: Case study of the Czech Republic. Sustainability, 2020, roč. 12, č. 14, čl. 5493

[40] HR Analytics Trends: Ibm ai hr: transforming human resources with artificial intelligence. https://www.hr-analytics-trends.com/blog/ibm-ai-hr-transforming-human-resources-with-artificial-intelligence?, last accessed 2025/08/25

[41] Hronová, Š., Špaček, M.: Sustainable HRM Practices in Corporate Reporting. Economies 2021, 9(2), 75

[42] IBM Homepage, https://www.ibm.com, last accessed 2025/01/03

[43] IBM Institute for Business Value: AI-powered productivity: Human Resources. https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/ai-human-resources?, last accessed 2025/08/27

[44] Journal of International Studies Homepage, https://www.jois.eu, last accessed 2024/12/01

[45] Kambur, E., Yildirim, T.: From traditional to smart human resources management. International Journal of Manpower (2022)

[46] Kambur, E., Akar, C.: “Human resource developments with the touch of artificial intelligence: a scale development study”, International Journal of Manpower, vol. 43 No. 1, pp. 168-205 (2022)

[47] Kemindo: Less admin, more time with people: how an HR professional´s job has been transformed by AI. https://www.kemindo.id/news/work-redefined-2024-dec-20-less-admin-more-time-with-people-how-an-hr-professionals-job-has-been-transformed-by-ai?, last accessed 2025/01/25

[48] Khan, B.H.: Managing E-Learning: Design, Delivery, Implementation and Evaluation, Information Science Publishing, Hershey (2005)

[49] Ma, Xiaoye, Liu, Weiheng, Zhao, Changyi, Tukhvatulina, L.R.: Can Large Language Model Predict Employee Attrition?arXiv:2411.01353, https://doi.org/10.48550/arXiv.2411.01353, last accessed 2025/01/24

[50] Matošková, J., Crhová, Z., Gregar, A.: Why Manufacturers Need to Engage Employees When Implementing a Smart Factory: A Case Report from the Czech Republic, Research Technology Management, Vol. 66, No. 3, pp.51–65 (2023)

[51] Merlin, P. R., Javam, R.: Artificial intelligence in human resource management. International Journal of Pure and Applied Mathematics, Vol. 119 No14, pp. 1891-1895 (2018)

[52] MDPI Homepage, https://www.mdpi.com, last accessed 2025/01/16

[53] MokaHR: How AI Predicts Employee Turnover and Enhances Retention Strategies. https://www.mokahr.io/myblog/ai-for-turnover-prediction-retention-strategies/?, last accessed 2025/03/31

[54] Noe, R.A., Hollenbeck, J.R., Gerhart, B. and Wright, P.M.: Fundamentals of Human Resource Management, 2nd ed., McGraw-Hill Press (2004)

[55] Olavsrud, T.: Workday aims to manage AI agents like employees. https://www.cio.com/article/3821624/workday-aims-to-manage-ai-agents-like-employees.html?, last accessed 2025/02/11

[56] Patel, N.: Workday´s new head of product wants you to like Workday as much as he does. https://www.theverge.com/decoder-podcast-with-nilay-patel/667538/workday-gerrit-kazmaier-enterprise-software-ai-interview?, last accessed 2025/05/15

[57] Philips, T. N., Isenhour, L.C. and Stone, D.: The potential for privacy violations in electronic human resource practices. In: Martin, G., Reddington, M. And Alexander, H. (Eds.), Technology, Outsourcing & Transforming HR, Elsevier, Burlington, pp.193-230 (2008)

[58] Pillai, R., Srivastava, K. B. L.: Smart HRM 4.0 practices for organizational performance: the role of dynamic capabilities. Benchmarking. An International Journal. ©Emerald Publishing Limited (2023)

[59] PR Newswire: Workday Announces New AI Agents to Transform HR and Finance Processes, last accessed 2024/09/17

[60] Psico-Smart Editorial Team: Using Predictive Analytics in Employee Commitment Measurement: Anticipating Turnover Before It Happens. https://blogs.psico-smart.com/blog-using-predictive-analytics-in-employee-commitment-measurement-anticipating-turnover-before-it-happens-183093?, last accessed 2025/08/21

[61] PwC Homepage, https://www.pwc.com, last accessed 2025/02/24

[62] Research Gate, https://www.researchgate.net, last accessed 2025/01/16

[63] Senarathne, A. N., Hewage, H. A. S. S., Wijekoon, J., Hettiarachchi, K. U.: Smart Human Resource Management System to Maximize Productivity. In: 2020 International Computer Symposium (ICS) Conference Paper, pp. 479-484. IEEE, (2020)

[64] Sharma, V.: How AI Empowers Employee Compliance Monitoring. https://www.ema.co/additional-blogs/addition-blogs/ai-empowers-employee-compliance-monitoring?, last accessed 2025/05/22

[65] Schweizer, H.: E-learning in business. Journal of Management Education, Vol. 28 No. 6, pp. 674-692 (2004)

[66] Skýpalová, R., Šikýř, M., Vávrová, J.: What HR Issues and Challenges Are Addressed by Contemporary HR Professionals and Line Managers? A Survey Evidence from the Czech Republic. Economics and Culture, Vol. 21, No. 1, pp. 20–40 (2024)

[67] Smart Solutions Homepage: https://www.smart-hr.cz, last accessed 2024/12/01

[68] Smerek, L., Vetráková, M., Čemerková, Š., Malátek, V.: Comparison of the Level of Personnel Work in the Czech Republic and Slovakia. Sustainability, Vol. 13, No 1, 287 (2021)

[69] Spencer, R.: How IBM uses next-generation digital workers to transform the allocation of employee promotions. https://www.ibm.com/case-studies/ibm-human-resources-watsonx-orchestrate

[70] Srivastava, Kailash B.L.: Smart HRM 4.0 for Achieving Organizational Performance: A Dynamic capability view perspective. International Journal of Productivity and Performance Management. ©Emerald Publishing Limited, (2022)

[71] Stříteský, M., Quigley, Martin J.D.: Designing HR Organizational structures in terms of the HR Business Partner Model Principles from the Perspective of Czech Organizations. Central European Business Review, Prague University of Economics and Business, Vol. 2014, No 1, pp. 42-50 (2014)

[72] Talent Management Institute: Understanding IBM´s cutting-Edge HR Strategy. https://www.tmi.org/blogs/understanding-ibms-cutting-edge-hr-strategy?, last accessed 2025/02/07

[73] The Economic Times: IBM sends HR staff packing as AI replaces them; hires more tech, sales workers: Report. https://economictimes.indiatimes.com/tech/artificial-intelligence/ibm-sends-hr-staff-packing-as-ai-replaces-them-hires-more-tech-sales-workers-report/articleshow/121134142.cms?, last accessed 2025/05/13

[74] Toews, M.: 6 Things to Know About the Next Generation of Workday AI. https://www.healthcareitleaders.com/blog/6-things-to-know-about-the-next-generation-of-workday-ai/?, last accessed 2025/08/24

[75] Ulrich, D.: Human Resource Champions. 1st edn. Harvard Business School Press, Boston, Massachusetts (1997)

[76] Ulrich, D.: Human Resources Business Partner 2.0. https://www.rbl.net/insights/articles/human-resource-business-partner-2-0?, last accessed 2025/08/24

[77] Vrchota, J., Mařiková, M., Řehoř, P., Rolínek, L., Toušek, R.: Human Resources Readiness for Industry 4.0. Journal of Open Innovation: Technology, Market, and Complexity, Vol. 6, Issue 1 (2020)

[78] Wash, G., L.: Strategy and competencies for future-ready business and HR business partners: A conceptual analysis. International Journal of Research in Human Resource Management. 5(1): 11-20 (2023)

[79] Weier, M. H.: During the Innovation Keynote, Workday leaders shared how Workday Illuminate will accelerate manual tasks, provide real-time assistance, and transform entire business processes. https://blog.workday.com/en-us/issue-2-workday-rising-daily-2024.html?, last accessed 2025/08/27

[80] Workday Homepage, https://www.workday.com, last accessed 2025/01/25

[81] Workday Inc: Workday Announces New AI Agent Partner Network and Agent Gateway to Power the next Generation of Human and Digital Workforces. https://investor.workday.com/2025-06-03-Workday-Announces-New-AI-Agent-Partner-Network-and-Agent-Gateway-to-Power-the-Next-Generation-of-Human-and-Digital-Workforces?, last accessed 2025/08/24

[82] Wright, P. N. and Boswell, W. R.: Desegregating HRM: a review and synthesis of micro and macro human resource management research. Journal of Management, Vol. 28 No.3, pp. 247-276 (2022)

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Published

13-11-2025

Issue

Vol. 1 No. 1 (2025): EAI Endorsed Transactions for Smart Business and Innovation

Section

Research Articles

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Copyright (c) 2025 Assoc. Prof. Renata Jezkova, PhD.

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How to Cite

1.
Jezkova R. Smart Human Resource Management: Theoretical Issues and Practical Applications. EAI Endorsed Trans on SBI [Internet]. 2025 Nov. 13 [cited 2025 Nov. 19];1(1). Available from: https://publications.eai.eu/index.php/smartbusiness/article/view/10834