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Can knowledge be treated as a resource to be captured, stored, and transferred, or is it fundamentally social, tacit, and resistant to codification? This tension has driven the study of organizational knowledge in management since the 1960s. The subfield began with questions about how organizations learn from experience, then expanded to consider how they absorb external knowledge, how communities share know-how, and whether knowledge itself should be seen as the firm's primary asset. The result is a landscape of frameworks that often overlap in subject matter but diverge sharply in their assumptions about what knowledge is and whether it can be managed.
The first systematic framework, Organizational Learning (Behavioral Theory) , emerged from the work of Richard Cyert and James March in 1963. Drawing on the behavioral theory of the firm, it treated organizations as systems that learn by encoding inferences from experience into routines. When an organization faces a problem, it searches for solutions, adopts what works, and stores the result in standard operating procedures. This framework was not concerned with individual cognition or creativity; it focused on how organizations adapt incrementally through trial and error. Learning, in this view, was a conservative process—organizations tended to repeat successful behaviors and avoid risky departures.
Single-loop and Double-loop Learning, introduced by Chris Argyris and Donald Schön in 1978, deepened this behavioral foundation by distinguishing between two levels of learning. Single-loop learning occurs when an organization detects an error and corrects it without questioning the underlying norms, goals, or assumptions. Double-loop learning, by contrast, involves questioning and revising those deeper frameworks. Where the earlier behavioral model treated learning as routine adjustment, Argyris and Schön argued that organizations often resist double-loop learning because it threatens established power structures and identities. Their framework preserved the behavioral emphasis on routines but added a critical dimension: the most important learning is not about doing things better but about rethinking why they are done at all.
By the 1990s, two new frameworks shifted attention away from purely internal, routine-based learning. Absorptive Capacity, proposed by Wesley Cohen and Daniel Levinthal in 1990, asked how organizations recognize the value of new external information, assimilate it, and apply it. The framework argued that an organization's ability to absorb external knowledge depends on its prior related knowledge—what it already knows shapes what it can learn from outside. This was a direct response to the inward focus of the behavioral learning tradition. Where Organizational Learning had treated knowledge as something generated through internal experience, Absorptive Capacity emphasized that much of what an organization needs already exists elsewhere, but only firms with sufficient prior knowledge can recognize and exploit it. The framework remains active today, often used to study innovation, alliances, and R&D strategy.
Communities of Practice, introduced by Jean Lave and Étienne Wenger in 1991, took a different direction. Instead of focusing on organizational routines or external knowledge absorption, it argued that learning is fundamentally social and situated. People learn by participating in communities—groups of practitioners who share a craft or profession—not by absorbing abstract information. Knowledge, in this view, is inseparable from the practices, relationships, and identities of the community. This framework coexisted with Absorptive Capacity but addressed a different question: not how organizations absorb external knowledge, but how knowledge is created and sustained through social interaction. Communities of Practice challenged the assumption that knowledge can be easily extracted from its context, a point that would later create friction with codification-oriented approaches.
The mid-1990s saw a surge of interest in managing knowledge as an organizational asset. The Knowledge Management (KM) Cycle emerged around 1993 as a practitioner-oriented framework that broke knowledge management into stages: creation, storage, retrieval, transfer, and application. Its proponents argued that organizations could systematically capture both explicit knowledge (documents, databases) and tacit knowledge (know-how, expertise) by building information systems, creating repositories, and encouraging sharing. The KM Cycle treated knowledge as a resource that could be extracted from individuals, codified, and reused across the organization. This framework was optimistic about manageability: with the right processes and technology, knowledge could be treated much like any other organizational asset.
Almost immediately, the SECI Model (Knowledge Creation) , developed by Ikujiro Nonaka and Hirotaka Takeuchi in 1995, offered a counterpoint. Drawing on Japanese management practices, the SECI Model described knowledge creation as a dynamic process moving through four modes: Socialization (tacit to tacit), Externalization (tacit to explicit), Combination (explicit to explicit), and Internalization (explicit to tacit). Nonaka and Takeuchi argued that knowledge creation begins with tacit knowledge—personal, context-specific, and hard to formalize—and that the key challenge is not codification but enabling the conversion between tacit and explicit forms. The SECI Model did not reject the KM Cycle outright, but it narrowed the focus: instead of managing knowledge as a stock, it emphasized the process of creating new knowledge through social interaction. Where the KM Cycle assumed that knowledge could be captured and stored, the SECI Model insisted that the most valuable knowledge is often tacit and must be cultivated, not captured.
The Knowledge-Based View (KBV) of the Firm, articulated by Robert Grant and others around 1996, elevated knowledge from an operational concern to the central question of strategic management. KBV argued that knowledge is the firm's most strategically important resource because it is difficult to imitate and transfer. Firms exist, in this view, because they are better than markets at integrating specialized knowledge held by individuals. This framework absorbed insights from both Absorptive Capacity and the SECI Model: from Absorptive Capacity, it took the idea that prior knowledge shapes what a firm can learn; from the SECI Model, it took the emphasis on tacit knowledge as a source of competitive advantage. But KBV went further by making knowledge the foundation of the theory of the firm itself. Where earlier frameworks had treated knowledge as something to be managed or created, KBV treated it as the primary explanation for why firms have boundaries at all. This strategic framing gave KBV a lasting influence in strategy research, though it also attracted criticism for overstating the uniqueness of knowledge compared to other intangible assets.
Today, no single framework dominates the study of organizational knowledge. The field is marked by pluralism, with different frameworks serving different purposes. Absorptive Capacity remains a leading lens for studying innovation, open innovation, and inter-organizational learning; it has been extended to include concepts like potential and realized absorptive capacity. Communities of Practice continues to inform research on professional learning, knowledge sharing in distributed teams, and digital platforms. The SECI Model is widely used in knowledge management practice, especially in Japanese and European firms, though critics argue that its four-stage cycle oversimplifies the messy reality of knowledge creation. The Knowledge-Based View remains influential in strategic management, particularly in work on dynamic capabilities and knowledge integration.
What the leading frameworks agree on is that knowledge is not a simple commodity. All recognize that tacit knowledge exists, that context matters, and that organizational routines and social interaction play a central role in how knowledge is created and used. Where they disagree is on the degree to which knowledge can be codified and managed. The KM Cycle and KBV lean toward treatability: they assume that with the right systems or strategic focus, knowledge can be leveraged systematically. Communities of Practice and the SECI Model push back, arguing that the most valuable knowledge resists codification and must be cultivated through participation and conversion. This disagreement is not a sign of weakness; it reflects the subfield's central tension—a tension that new challenges, from artificial intelligence to digital ecosystems, are only making more urgent. As organizations grapple with machine learning, big data, and distributed work, the question of what knowledge is and whether it can be managed continues to drive inquiry across all seven frameworks.