Effect of Organizational Structure on Performance of Decision Making Teams

Abstract

Distributed decision making (DDM) organizations consist of human decision makers (DMs) and equipment, structured so as to accomplish a set of given tasks. A multi-person, model-driven experiment has been designed to investigate the effect of organization structure on performance. The experiment has been designed on the basis of an existing mathematical model of interacting DMs and organizational structures. In the experiment, a distributed decision making environment was created. Two organizational structures were used in the investigation: a parallel organization and a hierarchical organization. The experimental results show that the variation in performance is less between different teams than between individual DMs within a team. Therefore, organizational performance is more predictable than individual performance. Interaction among DMs in an organization compensates for differences in individual performance characteristics. The main controlled variable in the experiment was the available time for perform a task. Decrease in available time introduced time pressure. The experimental results confirm a hypothesis which predicts that with decreasing available time, a significant degradation of performance occurs first in the organization which has the highest minimum required workload. These results are consistent with the findings from the theoretical model. Furthermore, the critical value of the ratio of response time to available time for doing a task is an observable measure of the bounded rationality constraint and can be used as a key parameter in organization design.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA223160

Entities

People

  • Victoria Y. Jin

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aerial Warfare
  • Artificial Intelligence
  • Cognition
  • Cognitive Workload
  • Command And Control
  • Computational Science
  • Data Analysis
  • Experimental Design
  • Fighter Aircraft
  • Information Processing
  • Information Theory
  • Judgment
  • Mathematical Models
  • Organizational Structure
  • Psychology
  • Theorems

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Organizational Process Management (OPM).
  • Systems Analysis and Design