Track: Human Factors and Ergonomics

Abstract

Communication among members in an organization is an important research aspect  in organizational processes. Therefore, our research is based on communication network and a series of studies is developed by applying the information theory and Markov chain to construct the quantitative models that can grasp information distribution for infinetely repeated communication in an organization. However, constructed models mainly focused on the aspect of randomness in information processing, and do not sufficiently deal with the concept of fuzziness. Dual aspects of ambiguity exist for both randomness and fuzziness in human information processing complexity, which cannot be overlooked when discussing organization communication.

This study considers a memory communication channel, and proposes an estimation model for both randomness and fuzziness to analyze the prior information allocation ratio to each member in two different organizations. Additionally, we conduct positive analyses on a communication network  with isomorphic and non-isomorphic structures, and suggest an inter-organizational communication and the role among members of the organization.