An intelligent organization is essentially capable of adapting to external changes, influencing the environment, and reconfiguring itself to fit into, and be viable in, a new environment. In this paper, the author argues that the practice of properly applying cognitive science in organizational management would improve or maintain the level of intelligence in organizations.
Organizations have considered many facets in improving their productivity, for instance speeding up certain actions, rationalizing business processes, executing quality assurance programs, and enhancing process capabilities. As global competition intensifies, organizations require a high level of intelligence to be competitive and successful in the long run. An effective organizational structure plays a key role in ensuring information sharing and new knowledge generation; the author shows that a team syntegrity model-based organizational structure is effective in enhancing organizational intelligence.
The process of cognition strongly involves the use and generation of knowledge through evolving activities, such as observation, perception, memorization, self-organization, explanation, self-reference, and generation. The author indicates that self-organization and self-reference, implicit in the team syntegrity model, are at the core of cognitive processes, determining the bulk of organizational capabilities in awareness, knowledge generation, foresight, and creativity. More specifically, the author used a case study to demonstrate its usefulness for realizing team-oriented structures and supporting organizational cognition, particularly the processes of planning, knowledge generation, and innovation in a heterarchical environment.
In reality, the mathematical structure cannot guarantee the behavior of all the participant players. The author did not discuss the impact of different practical management and behavioral models, or what mechanisms would be necessary to ensure the desired control and communication. The proposed organizational structure might not be effective or useful in a large-scale heterarchical environment.