The Five Stages of Evolution of Inter-Organisational Networks: A Review of the Literature

Author:

Kempner-Moreira Fernanda1,Freire Patricia de Sá1

Affiliation:

1. Department of Engineering and Knowledge Management, Federal University of Santa Catarina, Santa Catarina, Brazil

Abstract

Inter-organisational networks are presented as an adequate response to the dynamic and innovative environment in which organisations are inserted. It is necessary to develop dynamic capabilities to operate in single, double or triple cycle learning networks. However, there is no awareness of how networks can evolve in this fluid and agile environment of contemporary society. The purpose of this paper is to identify the stages of evolution of the Inter-organisational Networks and their constituent elements. Five stages of network evolution were identified: exchange, development, expansion, action and learning. This integrative literature review points out the characteristics of each of these stages, also listing its constituent elements. The Inter-organisational Learning Network is presented as the stage where learning becomes one of the objectives of the network and not just one of its results, which enhances its gains. The document contributes to a reflection on the stages of networks and strategies necessary for its evolution, where the results are more lasting. Acting in networks is necessary and being aware of the actions necessary for this strategy to generate better results contributes to more effective solutions.

Publisher

World Scientific Pub Co Pte Lt

Subject

Library and Information Sciences,Computer Networks and Communications,Computer Science Applications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial intelligence in knowledge management: application insights and guidelines;Revista de Gestão e Secretariado (Management and Administrative Professional Review);2023-08-15

2. ICT-Based Inter-organisational Knowledge Exchange: A Narrative Literature Review Approach;Responsible AI and Analytics for an Ethical and Inclusive Digitized Society;2021

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