Interactive Article Presentation UDC 331.1 JEL · M12 M14 M15 M50 O15 O30

Global Trends in
Organizational Staffing

A study of the worldwide forces reshaping how organizations build their workforce — and a methodological approach for adapting them to Ukrainian management practice. The central finding: HR management is undergoing a fundamental transformation from an administrative to a strategic function.

Artem HlukhyyAlfred Nobel University, DniproORCID 0009-0005-3222-3502
Olha YevtushenkoUniversity of Customs and Finance, DniproORCID 0000-0001-5357-3142
Hanna MytrofanovaAlfred Nobel University, DniproORCID 0000-0002-8944-143X
DOI · 10.32342/3041-2137-2026-2-65-20 ISSN 3041-2137 print ISSN 3041-2145 online
The shift this study documents 7 trends · 1999–2025 evidence base
Administrative HR
Hierarchical · bureaucratic · process-bound · low adaptability
Strategic HR
Human-centred · analytics-driven · flexible · value-creating
Scroll to explore the research
§ 01 — Overview

What the study set out to do

The relevance of the topic is driven by changes in the worldwide business environment, the Covid-19 pandemic, geopolitical challenges, and the active implementation of digitalization and AI — all of which significantly transform existing approaches to HR management.

Abstract

The article studies global trends in organizational staffing and ways to adapt them to Ukrainian management practices. To achieve this, the authors conducted a comprehensive analysis of scientific publications, research by leading consulting companies — Gallup, Gartner and BCG — World Bank statistics, and the practical experience of international and Ukrainian companies.

The results demonstrate the fundamental transformation of HR management from an administrative to a strategic function. Seven key trends in organizational staffing for 2025 were identified, spanning the changing role of HR, hybrid work, DEI, competency-based development, project-based flexibility, employer branding, and AI-driven digitalization.

The scientific novelty lies in the comprehensive analysis of modern staffing trends with regard to the specifics of the Ukrainian business environment and the adaptation of international experience.

Objective
Examine global staffing trends and develop a methodological approach for their implementation in the management practices of Ukrainian organizations.
Evidence base
Gallup · Gartner · BCG · Deloitte · HBR, World Bank labour-cost indicators, and case studies of Unilever, Spotify, Asahi Europe, KPMG and others.
Keywords
staffingorganizationHR-management artificial intelligencedigitalization innovationchange management
§ 02 — Problem Statement

Why staffing is a pressing problem now

Staffing is a pressing problem for organizations in every field. Traditional personnel management rested on hierarchical and bureaucratic models, where the HR department performed rigidly defined functions, focused on processes and procedures, with low adaptability. Modern realities demand flexibility and a fast response to a changing external environment.

Employees have changed too: they increasingly seek flexible schedules and a work environment that supports psychological well-being and productivity. Changes in human–machine interaction are transforming business processes and forcing a rethink of the value of the HR function — both for the enterprise and for employees. Studying these trends lets organizations not only adapt to the future, but shape it and remain competitive.

Three forces that reshaped HR over the last five years

The Covid-19 pandemic

A sharp, rapid shift to online work that gave a powerful push to the transformation not only of technology, but of mindset. The world changed fundamentally — and so did work with human resources.

The full-scale war in Ukraine

A shrinking working-age population through emigration, mobilization and casualties — making labour shortages and the reintegration of veterans central national HR challenges.

Active AI implementation

The embedding of artificial intelligence into business-process management, redesigning HR for human–machine collaboration where AI acts as assistant and helper.

§ 03 — Empirical Evidence

Labour-cost dynamics, 1999–2022

To test the cyclical history of HR spending, the authors analysed two World Bank indicators — Compensation of employees (% of expense) and Compensation of employees (current LCU) — for the world and for Ukraine. The series confirm a rise in the labour-cost share to 2008, its relative decline during crises, the negative effect of the Covid shock, and a dramatic Ukrainian spike in 2022.

Figure 1

Compensation of employees, % of total expense

Source: World Bank Group · World Development Indicators

The World line stays around 19–24%. Ukraine drifts below the world average for most of the period, then jumps to 33.1% in 2022.

In 2022 Ukraine's labour-cost share exceeded the world average by 14.1 percentage points — a tendency the authors note requires separate further study.
Figure 2

Ukraine — compensation in current UAH

Current prices, UAH million. The 2022 value reaches 1,003,338 mln, a year-on-year growth rate of 370%.

Figure 3

The gap between reports and reality

What leadership believes vs. what employees confirm — a gap HR services are positioned to close.

MetLife: 83% of executives say staff are satisfied with their finances; only 55% of employees agree. Gallup: 50% of managers report giving weekly feedback; only 20% of employees confirm it.
§ 05 — By the Numbers

Figures that frame the transformation

Selected data points from the study's evidence base — the human and economic stakes of getting staffing right.

$7.8T
Annual cost to the world economy of disengaged employees
Gallup, State of the Global Workplace 2022
21%
Global employee engagement level
Gallup, 2022
370%
Year-on-year growth of Ukraine's labour costs in 2022
World Bank Group
44%
Of employees experience daily stress at work
Gallup, 2022
+30%
Potential HR-department productivity gain from generative AI
BCG analysis, 2023
11
Apps the average worker uses to get the job done (5% use 26+)
Gartner, 2023
+41%
Productivity uplift at Unilever via its internal talent marketplace
HBR / Unilever
14.1pp
How far Ukraine's 2022 labour-cost share exceeded the world average
World Bank Group
§ 06 — Practical Contribution

A methodological approach to transforming HRM decisions

For each of the seven trends, the authors propose concrete management decisions and a system of metrics — giving organizations a measurable, transparent basis for transforming their human-resource management systems.

Staffing trendManagement decisionsMetrics
T1Transformation of the role of HR
Decisions
  • Shift from an operational to a strategic HR role
  • Broad use of HR analytics for decision-making
Metrics
  • Number of units with an HR business partner (HRBP)
  • Manager satisfaction with HR cooperation
  • Share of decisions made on the basis of HR analytics
T2Changing labour structure & hybrid work
Decisions
  • Develop hybrid-work policies
  • Improve the digital employee experience
  • Offer flexible work schedules
Metrics
  • Roll-out of digital solutions that minimise the number of apps an employee uses
  • Share of employees on flexible schedules
T3Integration of DEI principles
Decisions
  • Diversity and inclusion programs
  • Equal-opportunity policy
Metrics
  • Diversity index
  • Engagement level of different groups
T4Competency-based talent & leadership
Decisions
  • Competency model for selection, evaluation and development
  • Individual development plans for key employees
Metrics
  • Share of roles with approved competency profiles
  • Completion rate of individual development plans
  • Share of leadership roles filled by internal candidates
T5Project-method flexibility in HRM
Decisions
  • Agile approaches in HR processes
  • Short iterations for HR decisions
Metrics
  • Number of HR projects delivered via Agile
  • Average time to implement an HR decision
T6Employer brand & corporate culture
Decisions
  • Programs to shape values and culture
Metrics
  • eNPS index
  • Turnover among key employees
T7Digitalization, AI & HR analytics
Decisions
  • Implement agentic AI in HRM
  • Use AI in talent acquisition
Metrics
  • Level of HR-process automation via agentic AI
  • Selection accuracy — share of candidates who reach their KPIs
§ 07 — Conclusions

From administrative function to strategic engine

Modern HR management is experiencing a deep transformation from an administrative to a strategic function, driven by the global challenges of recent years — a changing demographic structure of human resources, the Covid-19 pandemic, the rapid development of digitalization and AI, and geopolitical change.

Seven key trends were identified, from the transformation of the role of HR to AI-driven digitalization. The proposed methodological approach lets organizations update their practices and apply matching metrics for monitoring, creating their own measurable base for adopting current trends and raising competitiveness through HR-process optimization.

The future of HR is marked by the growing role of AI — but the human factor remains decisive for strategic decision-making and innovative development. Further research requires a detailed methodology for transforming the HR-management system under the influence of digitalization and AI.

Particularly relevant for Ukraine

Adapting these trends to national conditions means accounting for martial law, migration processes, demographic challenges and the reintegration of veterans — with inclusion for people of advanced age treated as an essential direction for labour-market development.

The study's closing thesis

“The success of business digitalization lies in combining technological solutions with human potential.”

Routine processes are automated; what remains for people are the complex tasks of supporting strategy. HR specialists must develop strategic thinking to keep their companies competitive.
§ 08 — References

Sources cited

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