Concurrent problem solving and organizational learning

Abstract

Basic outlines of a theory of coordination are presented as a foundation for understanding the possibilities of computer-based support for distributed decision-making. Relationships between entities and organizational learning, allowing improved coordination based on experience, are also discussed. The authors argue that at its present stage of development, the KBO (knowledge-based organization) theory is consistent with the five major objectives of accountability (for coordination, learning, and concurrency), descriptive and normative flexibility, applicability to both human and computer-based entities, consistency, and formalization.<>