Impact Of Structure On Team Performance

This article is the product of research on business self-organization, developed at the Universidad Distrital Francisco Jose de Caldas from 2019 to 2020. Collective intelligence (CI) has been viewed as an approach that enables the use of interactions between agents and, in-turn, with their environment, to increase the intelligence of the system; understood as the ability to take full advantage of distributed resources and to adapt nimbly to the changing conditions of the environment Methodology: In the first part, the conditions that may facilitate CI are explored through a review of the literature. In the second part, an experiment is designed in a micro-world environment which incorporates some of the conditions identified to facilitate the CI in the structure of a team, and its performance is compared with a team that has a hierarchical structure. Results: When teams have a structure, it facilitates CI, leads to greater-than-average performance, coordination effectiveness and adaptability, as well as better interaction dynamics among the members. These teams present higher levels of interaction, information flows and activity among the participants, reflected in the number of interventions and in the use of the resources offered in the game. Conclusions: The increase in complexity that the application of CI induces, gives the team a better performance in environments of increasing complexity; in contrast to teams that have structures that reduce their complexity within the hierarchical structure. Originality: This article provides evidence regarding the incidence of roles in the performance of the company. Limitations: One of the main constraints is the virtual interaction between the participants and between them with the research team. Face-to-face interaction would allow more intensive use of affiliate links between participants.