IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Complex Adaptive Systems-Based Enterprise Knowledge Sharing Model

A Complex Adaptive Systems-Based Enterprise Knowledge Sharing Model
View Sample PDF
Author(s): Cynthia T. Small (The MITRE Corporation, USA)and Andrew P. Sage (George Mason University, USA)
Copyright: 2010
Pages: 19
Source title: Emerging Systems Approaches in Information Technologies: Concepts, Theories, and Applications
Source Author(s)/Editor(s): David Paradice (Florida State University, USA)
DOI: 10.4018/978-1-60566-976-2.ch009

Purchase

View A Complex Adaptive Systems-Based Enterprise Knowledge Sharing Model on the publisher's website for pricing and purchasing information.

Abstract

This paper describes a complex adaptive systems (CAS)-based enterprise knowledge-sharing (KnS) model. The CAS-based enterprise KnS model consists of a CAS-based KnS framework and a multi-agent simulation model. Enterprise knowledge sharing is modeled as the emergent behavior of knowledge workers interacting with the KnS environment and other knowledge workers. The CAS-based enterprise KnS model is developed to aid knowledge management (KM) leadership and other KnS researchers in gaining an enhanced understanding of KnS behavior and its influences. A premise of this research is that a better understanding of KnS influences can result in enhanced decision-making of KnS interventions that can result in improvements in KnS behavior.

Related Content

Subhadip Kowar, Sneha Mukherjee, Shramana Ghosh. © 2025. 26 pages.
C. V. Suresh Babu, Mala Raja Sekhar, A. Sachin, Bala Brindha. © 2025. 26 pages.
A. D. N. Sarma. © 2025. 32 pages.
Muhammad Usman Tariq. © 2025. 26 pages.
Maaike Stoops, Pablo Alfonso Aguilar Calderón, Óscar Manuel Peña Bañuelos. © 2025. 30 pages.
Pablo Alfonso Aguilar Calderón, José Alfonso Aguilar-Calderón, Dominik Morales-Silva, Carolina Tripp-Barba, Pedro Alfonso Aguilar-Calderón, Aníbal Zaldívar-Colado, Oscar Manuel Peña-Bañuelos. © 2025. 30 pages.
Carlos Villarrubia, David Granada, Juan Manuel Vara. © 2025. 34 pages.
Body Bottom