Objective:

To explain the performance of a knowledge network, understood as a system of management, production and transfer between the demands of the environment and the capabilities of the organization.

Method:

A non-experimental, cross-sectional and correlational study was carried out with a non-probabilistic sample selection of 300 administrative staff, teachers and students of a public university, considering their interaction in professional practices. The Organizational Complexity Scale de García (2016) was used, which is a synthesis of 1) Inventory of Thinking Strategies (Torkamani & Mahmoudi, 2016); 2) Scale of Competitive Intelligence (Saleh, Rahimi & Amirnejad, 2015); 3) Organizational Learning Questionnaire (Erfani & Jafari, 2013) which were processed with the Delphi technique.

Results:

The degree of learning of the knowledge network followed a selective pattern because, the possible combinations of the knowledge networks suggest that the input layer, when regulated by the intermediate layer, reflects in the output layer; management, production and transfer of knowledge in terms of tasks rather than objectives or goals. One can see the emergence of an organizational intelligence centered on four factors: self-regulation, dissipation, adaptability and dynamism.

Conclusion:

There are lines of research alluding to the possible relationships between factors such as the motivation to achieve, the expected utility or the ease of carrying out a network task as determinants of the task climate, the main emerging factor of the knowledge network.

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