Explain different outcomes.
Why do similar technologies, resources, and strategies produce different results? Relational Management directs attention to trust, cooperation, knowledge flows, governance, and learning.
Explore advantageRelational Management · An emerging perspective
The future of competitive advantage is relational.
Artificial intelligence is expanding access to knowledge, analysis, and expertise. More organisations can now use capabilities that once required scarce specialist resources. As access broadens, lasting advantage may depend increasingly on how well organisations build trust, learn, cooperate, and create value across human, organisational, and technological relationships.
A developing, research-informed perspective connecting strategic management, relational theory, organisational learning, human capital, and human-AI collaboration.
01
Why now
AI is changing the conditions of competitive advantage.
AI changes the availability, speed, and strategic significance of capabilities that organisations once treated as scarce.
Technology creates possibilities. Relationships shape whether those possibilities become value.
For decades, organisations have built competitive advantage through access to superior resources, knowledge, processes, and technologies. These sources of advantage remain important. But artificial intelligence is changing how readily some of them can be accessed and reproduced.
AI can make certain forms of analysis, knowledge work, and expertise more accessible and scalable. It can support decisions, accelerate learning, and enable people to perform tasks that previously required more time or specialized experience.
This does not mean that intelligence, knowledge, or expertise have become universally abundant. Nor does it mean that technology can no longer create advantage. It means that access to technology alone may become less distinctive as comparable capabilities spread across markets.
The strategic question is therefore no longer only whether an organisation can adopt AI. It is whether the organisation can integrate human and machine capabilities, exercise sound judgment, learn from experience, and coordinate action across boundaries.
Consider two organisations using comparable AI tools. In one, unclear decision rights, weak knowledge sharing, and low trust can limit adoption and learning. In the other, shared context, feedback, and accountable governance can help people use the same tools more effectively. The technology may be similar; the relational conditions are not.
02
Definition
Relational Management asks a different strategic question.
How is value activated through relationships among people, organisations, stakeholders, and intelligent systems?
Relational Management is an emerging management perspective that examines how relationships within and across organisations shape access to resources, knowledge flows, learning, the responsible use of technology, and the creation of lasting value.
It does not propose that relationships replace strategy, technology, or operational excellence. It examines the relational conditions through which their value is activated or constrained.
The perspective draws on established research in strategic management, the resource-based and relational views of the firm, dynamic capabilities, organisational learning, trust, human capital, and human-AI collaboration.
Read the full introduction
03
Foundational premises
Three premises guide the development of the perspective.
They define the starting point of Relational Management. They are not its final conclusions.
Premise A
Value is co-created.
Organisations rarely create value in isolation. Value emerges through interactions among employees, leaders, customers, partners, institutions, and technologies.
Premise BRelationships can be strategic resources.
Relationships become strategically significant when they enable trust, knowledge sharing, complementary resources, coordinated action, and cooperation that is difficult to reproduce.
Premise CLearning is a foundational capability.
Under technological and institutional change, advantage increasingly depends on the ability to learn across functions, ecosystems, and human-AI systems.
04
The developing framework
From central proposition to a researchable structure.
The framework organizes the main analytical domains of Relational Management and the relationships among them.
RM-01
Relational Competitive Advantage
How relationships activate, combine, and protect resources that may create differentiated value.
Strategic outcome RM-02Relational Capabilities
Trust, knowledge flows, human capital development, organisational learning, psychological safety, and governance.
Organisational conditions RM-03Human-AI Collaboration
Complementarity, trust calibration, learning with AI, and the relationships shaped by intelligent systems.
Technological context RM-04Definitions and Boundaries
Core concepts, units of analysis, distinctions from adjacent perspectives, and explicit limits of the framework.
Conceptual clarity
05
Why it matters
Relational quality shapes whether capability becomes value.
The perspective connects strategic questions with organisational, leadership, human-capital, and research consequences.
Coordinate different forms of intelligence.
Leadership increasingly requires judgment, responsibility, and decisions across human, technological, and organisational boundaries.
Explore collaborationEnable meaningful contribution.
People participate in the relationships through which organisations learn, adapt, and create value. Human capital strategy must address the conditions that enable contribution alongside AI.
Explore capabilitiesBuild a testable research agenda.
The perspective connects strategic management with human-AI collaboration, organisational learning, trust, and relational governance.
Explore research
06
Research agenda
The perspective begins with questions, not finished answers.
These questions define the intellectual territory that Relational Management seeks to explore.
- Q01If AI tools become widely accessible, what will remain difficult for competitors to imitate?
- Q02Which relationships enable knowledge to become coordinated action and valuable outcomes?
- Q03What capabilities allow people and intelligent systems to learn, decide, and create value together?
- Q04How should trust, responsibility, power, and accountability be governed in human-AI systems?
- Q05When do relationships create strategic value, and when do they create dependency, exclusion, or risk?
07
Intellectual discipline
A clear distinction between what is known and what is proposed.
Relational Management is being developed through evidence, theoretical propositions, and questions for future research.
Evidence
Recognized literature in strategy, relational view, dynamic capabilities, organisational learning, trust, human capital, and human-AI collaboration provides the foundations.
Proposition
The integration of these foundations into Relational Management - and the claim that relational conditions gain strategic significance in the age of AI - is a developing theoretical contribution.
Research
Definitions, constructs, boundary conditions, causal relationships, measurement approaches, and practical consequences require further theoretical and empirical work.
08
Work in development
Current directions
Research, writing, education, and dialogue are used to develop and critically examine the perspective.
The Relational Management Framework
A developing structure connecting relational competitive advantage, relational capabilities, human-AI collaboration, and governance.
View frameworkDoctoral Research
Research into the competitiveness of universities in the era of digital transformation and how institutions adapt, learn, and create value.
View researchRelational Economy
An exploration of whether a more relational understanding of economic and organisational life can respond credibly to technological and institutional change.
View books
09
Research, teaching, and practice
One question examined from several perspectives.
Relational Management grows at the intersection of academic inquiry, education, and more than two decades of organisational practice.
Monika Karolina Kosiedowska is an economist, academic lecturer, researcher, consultant, educator, and founder of Guidelines.
Her work brings together strategic management, human capital, organisational learning, relational value, and the changing role of people in the age of artificial intelligence.
She is developing Relational Management as an intellectually coherent and practically relevant perspective, not as a finished theory, but as an invitation to research, dialogue, and responsible experimentation.
- Economist and researcher
- Academic lecturer
- Founder of Guidelines
- 20+ years of organisational practice
- Developer of Relational Management
- Warsaw, Poland · International perspective
Continue the conversation
Join the discussion on the relational future of management.
Relational Management is a developing proposition. Its value will depend on rigorous research, critical discussion, and its ability to explain real organisational challenges.