The word ecosystem was coined by the ecologist Arthur Tansley in 1935 to describe the integrated system of living organisms and their physical environment, interacting as a functional unit. Tansley’s insight was that organisms cannot be understood apart from their environment, or from each other: the system of relationships is not a backdrop to life but constitutive of it. Energy flows through the system; nutrients cycle; species shape each other’s niches through competition, predation, and mutualism. The ecosystem is not a collection of species but a dynamic network of interdependencies.
The concept has since migrated far beyond ecology. In its contemporary usage, an ecosystem denotes any network of heterogeneous agents, whether organisms, firms, institutions, or technologies, whose interactions produce and sustain value that none of them could generate independently. What carries over from the biological original is the relational, systemic, and dynamic character of the concept: an ecosystem is defined not by its members individually but by the pattern of their interdependencies.
The relationship between the ecosystem concept and the theory of Complex Adaptive Systems is intimate. A biological ecosystem is a CAS: its agents (organisms, populations, species) are diverse, adaptive, and locally interacting; its structure self-organises without central direction; its properties, including biodiversity, productivity, nutrient cycling, and resilience, are emergent. When the ecosystem concept is extended to social and economic domains, it carries this CAS character with it. To call something an ecosystem is to claim that it has CAS-like dynamics: that its outcomes are emergent, that its participants co-evolve, and that its behaviour cannot be fully controlled or predicted by any single participant.
Key Theoretical Foundations
The founding theoretical contributions to ecosystem science established principles that remain directly applicable to social and economic analogues.
Energy flow through ecosystems follows thermodynamic constraints: energy enters (typically as solar radiation captured by photosynthesis), is transformed and degraded at each trophic level, and eventually dissipates as heat. Ecosystems are thermodynamically open systems, sustained by continuous energy throughput. The analogous principle in economic ecosystems is that value flows, including financial capital, information, talent, and attention, must circulate continuously if the system is to remain functional.
Nutrient cycling, i.e., the circulation of carbon, nitrogen, phosphorus, and other elements through biological and physical reservoirs, is another central ecosystem concept. Nutrients are not consumed but transformed and recirculated. Disruption of nutrient cycles (through pollution, land-use change, or overexploitation) can produce systemic failures that cascade across the entire system. The analogy in business ecosystems is the circulation of knowledge, trust, standards, and complementary capabilities among participants.
Succession is the process by which ecosystems change over time, from pioneer communities through a sequence of increasingly complex assemblages to a climax community. Succession is neither inevitable nor unidirectional: disturbances can reset the process or redirect it, and the notion of a stable climax has been largely replaced by an appreciation of dynamic non-equilibrium. In business, the concept of technological succession, i.e., the replacement of one dominant design by another, carries a structurally similar logic.
Resilience, in the ecological sense developed by C.S. Holling, refers not to the ability to resist change but to the capacity to absorb disturbance and reorganise while undergoing change, so as to retain essentially the same function, structure, and identity. Resilience ecology has contributed the concept of the adaptive cycle, a recurrent pattern of growth, accumulation, collapse, and renewal, which has been productively applied to social-ecological systems and, more recently, to organisational and economic dynamics.
Research Frontiers in Ecosystem Science
Contemporary ecosystem research has expanded well beyond Tansley’s original formulation. Several developments are particularly relevant to understanding social and economic ecosystems.
Planetary boundaries research (Rockström et al., updated and refined through the 2020s) has quantified the systemic thresholds within which human economies must operate if Earth’s life-support systems are to remain stable. The concept that economic systems are embedded in, and depend upon, the larger Earth system is now a central premise of sustainability science and a profound challenge to economic theories that treat nature as an externality.
Social-ecological systems (SES) research, associated with Elinor Ostrom’s Nobel Prize-winning work and its successors, has developed rigorous frameworks for understanding how human communities govern shared ecological resources, i.e., the commons. The insight that communities can, under the right institutional conditions, manage commons sustainably without privatisation or state control is both an empirical finding and a demonstration of CAS self-organisation in human governance.
Network ecology has transformed understanding of ecosystem structure by examining the topology of species interaction networks, including food webs, mutualistic networks, and competitive networks. Research has shown that ecosystems, like other complex networks, exhibit characteristic structural properties (nestedness, modularity, heavy-tailed degree distributions) that shape their robustness and vulnerability. The same structural analysis is now applied to economic and technological ecosystems.
Tipping points and regime shifts in ecosystems, i.e., sudden and often irreversible transitions from one stable state to another, have become a central concern of both ecological science and climate policy. Lakes can shift from clear to turbid water; coral reefs from coral-dominated to algae-dominated; savannahs from grassland to shrubland. The early warning signals of approaching tipping points, including increasing variance, slower recovery from perturbations, and rising spatial correlations, are now being sought in economic and financial systems as well.
Various Fields of Ecosystem
Urban Ecosystems. Cities are now routinely studied as social-ecological systems, in which human populations, built infrastructure, green spaces, waterways, and microbiomes co-constitute a dynamic whole. The concept of urban metabolism, by analogy with biological metabolism, tracks flows of energy, water, food, and materials through urban systems. Urban ecosystem research informs planning decisions about green infrastructure, resilience to flooding and heat stress, and the relationship between urban form and social equity.
Health Ecosystems. The human body itself harbours an ecosystem, the microbiome, of trillions of microbial organisms whose interactions with the immune system, metabolism, and even cognition are the subject of rapidly expanding research. More broadly, health systems, i.e., networks of patients, clinicians, insurers, pharmaceutical firms, regulatory bodies, and public health institutions, exhibit CAS dynamics that shape outcomes in ways no single actor controls. Understanding healthcare systems through an ecosystem lens has implications for policy design, epidemic response, and the governance of medical innovation.
Knowledge and Innovation Ecosystems. The production of scientific knowledge is an ecosystem process: research communities, funding agencies, journals, universities, and industries co-evolve in a dynamic network of collaboration and competition. Regional innovation ecosystems, such as Silicon Valley, Shenzhen, and Cambridge, exhibit emergent properties including talent concentration, knowledge spillovers, venture capital density, and cultural tolerance of failure. These properties cannot be attributed to any single actor and prove remarkably difficult to replicate through policy alone.
Digital Ecosystems. The internet and its associated platforms have created a new class of ecosystem characterised by extreme scalability, near-zero marginal cost of information reproduction, and network effects that tend to concentrate value around a small number of dominant platforms. Digital ecosystems raise novel governance challenges around data ownership, algorithmic power, and the concentration of informational infrastructure in private hands.
Ecosystems in Economy and Business
The transfer of the ecosystem concept to economic and business contexts has been one of the most consequential developments in management thinking of the past three decades. James Moore introduced the term business ecosystem in a landmark 1993 Harvard Business Review article, arguing that firms compete not as individual entities but as members of ecosystems, i.e., communities of companies that co-evolve their capabilities, and whose collective performance determines the vitality of each member.
Moore’s framework identified four stages of ecosystem development, namely birth, expansion, authority, and renewal or death, and argued that successful ecosystem leaders must pursue strategies appropriate to the stage of development. This dynamic, developmental understanding of competitive systems was a significant departure from the static positioning logic of Porter’s Five Forces framework.
Platform ecosystems have become the dominant business model of the digital economy. A platform creates the infrastructure and governance rules for an ecosystem of complementors, including third-party developers, content creators, merchants, and service providers, to interact with each other and with end users. The platform’s competitive advantage lies not in its own products but in the scale, diversity, and vitality of its ecosystem. Apple, Google, Amazon, Alibaba, and Airbnb are all, in different ways, platform ecosystem orchestrators.
The economics of platform ecosystems is characterised by network effects (the value of the platform increases with the number of participants), multi-sidedness (the platform serves multiple distinct user groups whose interactions must be carefully balanced), and envelopment (platforms tend to expand by absorbing the functions of adjacent platforms). These dynamics produce winner-take-most outcomes in many markets, concentrating economic power in ecosystem leaders.
Beyond platforms, the ecosystem perspective is reshaping thinking about supply chains, innovation networks, financial systems, and labour markets. Supply chains are no longer understood as linear sequences of transactions but as networked, adaptive systems whose resilience properties depend on their topology and on the diversity of their participants. The COVID-19 pandemic provided a brutal demonstration of the vulnerability of highly efficient, low-redundancy supply chain ecosystems to systemic shock.
Ecosystem Perspective in Strategic Management
The ecosystem perspective in strategic management represents a paradigm shift from firm-centric to system-centric strategy. Its core insight is that competitive advantage is increasingly a property of ecosystems rather than individual firms: value is co-created through the collaborative and competitive interactions of a network of participants, and no firm can thrive in a depleted or dysfunctional ecosystem.
From Value Chain to Value Architecture. Porter’s value chain model treats the firm as the primary unit of value creation and competitive advantage. The ecosystem perspective replaces this with a value architecture: a network of participants each contributing capabilities, assets, or activities, and together co-producing value that exceeds what any could produce alone. The strategic question shifts from “how do we improve our value chain?” to “how do we design, cultivate, and govern a value-creating ecosystem?”
Keystone Strategy. Iansiti and Levien’s influential framework distinguishes between keystones, dominators, and niche players in business ecosystems. Keystones are participants whose activities improve the overall health of the ecosystem: they create platforms that reduce costs, share knowledge, and provide stable infrastructure for complementors. Dominators extract maximum value for themselves, typically at the cost of ecosystem health. Niche players occupy specialised roles that the ecosystem enables. The strategic insight is that keystone strategies, while involving some sharing of value with the ecosystem, tend to produce more durable competitive advantage than dominator strategies.
Co-evolutionary Strategy. In a co-evolving ecosystem, strategy cannot be formulated in isolation. Every strategic move alters the ecosystem landscape, provoking responses from other participants that will in turn require strategic adaptation. This demands a more iterative, experimental, and feedback-sensitive approach to strategy than the periodic planning cycles of conventional strategic management. Scenario planning, real-options thinking, and continuous market sensing are more appropriate tools than long-range strategic plans.
Ecosystem Health and Measurement. Iansiti and Levien proposed measuring ecosystem health through productivity (value creation per unit investment), robustness (resilience to environmental perturbation), and niche creation (the rate of innovation and diversification within the ecosystem). These measures extend beyond conventional firm-level financial metrics and require understanding the systemic properties of the network as a whole.
Managing the Edge. Perhaps the most practically consequential insight from the CAS perspective for strategy is the concept of the edge of chaos, the zone of maximum adaptive capacity between rigid order and unstructured disorder. Strategies, organisations, and ecosystems that operate near the edge of chaos tend to be most innovative, most responsive, and most durable. The management challenge is neither to impose rigid order (which prevents adaptation) nor to abandon structure altogether (which destroys coordination), but to cultivate the conditions that keep the system poised at the productive boundary between the two.
