Knowledge Management Overview

Principles

Definition

Knowledge management is a multidisciplinary academic field and organizational discipline concerned with the systematic processes by which knowledge is created, captured, organized, accessed, and utilized within an entity to enhance learning, innovation, and performance.

Ontological type

Core Processes

Technologies and Tools

Organizational Strategies

Key developments

Key Figures

Socially Constructed KM era

Paul DiMaggio [1] is associated with Harvard University [3] and Princeton University [4] during this era. His key contributions in this era include institutional isomorphism and collective rationality in organizational fields, as articulated in The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields [7], which helped explain convergence in organizational forms and the governance of knowledge within networks. Walter W. Powell [2] is associated with Stanford University [5] and Yale University [6] during this era. His contributions in this era include analyzing diffusion, institutional pressures, and governance within organizational fields, illustrating how tacit knowledge, trust, and cultural norms diffuse through networks, as captured in The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields [7].

Formalization and Strategic KM era

Bruce Kogut [1] is a leading scholar associated with the University of Pennsylvania [3] and Boston University [4] during the Formalization and Strategic KM era. He advanced theories on knowledge of the firm, combinative capabilities, and the replication of technology through Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology [7] and Knowledge and the Speed of the Transfer and Imitation of Organizational Capabilities: An Empirical Test [8], underscoring why codified, transferrable knowledge mattered for competitive advantage in this era. Dennis A. Gioia [2] is a prominent figure linked with the Pennsylvania State University [5] and Florida State University [6] during this era. His notable contribution is Sensemaking in Organizations [9], which reframed how organizations interpret and operationalize knowledge within routines and communities of practice, laying groundwork for formalized knowledge management and organizational learning in this period.

Boundary-Spanning Digital KM era

Peter Maskell[1] is affiliated with the University of Dundee[3] and the University of Glasgow[4] during the boundary-spanning digital KM era. His key contribution in this era centers on the 2004 paper Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation[7], which clarifies how local networks generate tacit knowledge and how global pipelines enable cross-border knowledge diffusion, underpinning the translation-and-transformation logic of digital KM. Harald Bathelt[2] is affiliated with the University of Toronto[5] and the University of British Columbia[6] during this period. In the same 2004 paper[7], Bathelt's framing of clusters, local buzz, and global pipelines illuminates boundary-spanning knowledge flows and tacit diffusion, a perspective that supported the era's focus on platform-enabled translation, governance, and organizational capability-building.