A Computational Framework for Experimentation with Edge Organizations

Abstract

Edge organizations emphasize moving knowledge and decision-making power to individuals and teams who directly interface with the environment. Traditional project modeling tools cannot adequately represent the critical impact of information and knowledge flows, nor the importance of developing trust between workers in Edge organizations. The Virtual Design Team (VDT) computational modeling platform evolved from ongoing research at Stanford University starting in the late 1980s. VDT has been used successfully to model activities, communications, and exception handling within traditional project organizations performing relatively routine, albeit highly concurrent, tasks. This paper discusses POWER, a new computational modeling platform based on the same information processing view of organizations as VDT. POW-ER is an extensible organization simulation platform, within which we have prototyped direct support for modeling several critical dynamic behaviors of workers in modern knowledge-based organizations: knowledge flows, trust effects, and cultural/ institutional differences between team members from different backgrounds. POW-ER can also support demand-driven, dynamic allocation of resources to tasks as needed, to model work processes that cannot be represented by predefined tasks. Using POW-ER, researchers can now conduct emulation experiments on Edge organizations to validate and calibrate the computational model, ultimately aiding in the systematic design and optimization of these organizational forms.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA464187

Entities

People

  • Marc S. Ramsey
  • Raymond E. Levitt

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Command And Control
  • Computational Modeling
  • Computer Programming
  • Computer Science
  • Computers
  • Engineering
  • Information Processing
  • Information Systems
  • New York
  • Organizational Structure
  • Programming Languages
  • Psychology
  • Python Programming Language
  • Reliability
  • Simulations
  • Social Sciences
  • Word Processors

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Parallel and Distributed Computing.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.