MODELING INFORMATION GAPS IN MILITARY COMMAND STRUCTURES
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Authors
Katz, Joel M.
Subjects
decision-making
command and control
C2
dynamic model of situated cognition
naturalistic decision-making
recognition primed decision-making
sensemaking
knowledge transfer
organizational ignorance
information management
knowledge management
complexity
uncertainty
ambiguity
equivocality
hierarchy of command
command and control
C2
dynamic model of situated cognition
naturalistic decision-making
recognition primed decision-making
sensemaking
knowledge transfer
organizational ignorance
information management
knowledge management
complexity
uncertainty
ambiguity
equivocality
hierarchy of command
Advisors
Iatrou, Steven J.
Date of Issue
2019-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Technological advances have led to an increase in data available to commanders and their staffs. Sorting through collected data and identifying what is present that is relevant and what is relevant-but-not-present is necessary to identify and eliminate information gaps that hinder a commander’s decision-making ability. This thesis developed and assessed a model illustrating the creation and propagation of information gaps in a command structure in order to provide a tool to identify and mitigate organizational blind spots.
Literature describing approaches to naturalistic decision-making; individual processes for collecting, filtering, and interpreting specific data; and the effect of staff member roles on their interaction with data formed the basis of the model. Internal analysis revealed potential causes of information gaps. The model’s utility in identifying information gaps was evaluated using dissimilar historical cases with varying command attributes and environmental parameters including technological context, situational tempo, and level of war. The thesis concludes by describing the model’s limitations and suggesting techniques to further validate the model using live exercises and a way to apply the model offensively in deception operations.
Type
Thesis
Description
Series/Report No
Department
Information Sciences (IS)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.