{"id":{"repo_id":"gmu","oai_identifier":"oai:MARS:1920/8803"},"canonical_url":"https://search.dev.ndltd.org/etd/gmu/oai:MARS:1920/8803","repository":{"repo_id":"gmu","name":"George Mason University","base_url":"https://mars.gmu.edu/server/oai/request"},"display":{"title":"Decision Maker Perception of Information Quality: A Case Study of Military Command and Control","abstract":"Decision maker perception of information quality cues from an information system (IS) and the process which creates such meta cueing, or data about cues, is a critical yet un-modeled component of situation awareness (SA). Examples of common information quality meta cueing for quality criteria include custom ring-tones for specific numbers (relevancy), automated color changes on a computer display as inputs age (timeliness), and automated interface pop ups for missing information (completeness). In this work, I propose an information flow model incorporating feed-forward control (FFC) as a means to provide such meta-cuing for decision makers. The empirical basis for this information flow model was evidence collected from a case study of an IS dependent Department of Defense (DoD) global command and control (C2) center.","abstract_html":"Decision maker perception of information quality cues from an information system (IS) and the process which creates such meta cueing, or data about cues, is a critical yet un-modeled component of situation awareness (SA). Examples of common information quality meta cueing for quality criteria include custom ring-tones for specific numbers (relevancy), automated color changes on a computer display as inputs age (timeliness), and automated interface pop ups for missing information (completeness). In this work, I propose an information flow model incorporating feed-forward control (FFC) as a means to provide such meta-cuing for decision makers. The empirical basis for this information flow model was evidence collected from a case study of an IS dependent Department of Defense (DoD) global command and control (C2) center.","abstract_has_math":false,"creators":["Morgan, Grayson"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-08","date_published":"2013-08","updated_at":"2026-07-27T19:51:50Z","subjects":["Information technology","Engineering","Command and Control","Decision making","Feed-Forward Control","Information Quality","Perception","Situation Awareness"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:1920/8803"],"render_values":[{"text":"hdl:1920/8803","href":null,"code":true}]}]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2013-08"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Information technology","Engineering","Command and Control","Decision making","Feed-Forward Control","Information Quality","Perception","Situation Awareness"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:1920/8803"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.other","label":"Dc Description Other","values":["Decision maker perception of information quality cues from an information system (IS) and the process which creates such meta cueing, or data about cues, is a critical yet un-modeled component of situation awareness (SA). Examples of common information quality meta cueing for quality criteria include custom ring-tones for specific numbers (relevancy), automated color changes on a computer display as inputs age (timeliness), and automated interface pop ups for missing information (completeness). In this work, I propose an information flow model incorporating feed-forward control (FFC) as a means to provide such meta-cuing for decision makers. The empirical basis for this information flow model was evidence collected from a case study of an IS dependent Department of Defense (DoD) global command and control (C2) center."]},{"key":"dc:title","label":"Title","values":["Decision Maker Perception of Information Quality: A Case Study of Military Command and Control"]}]}],"canonical_facts":{"dc:date.issued":["2013-08"],"dc:description.other":["Decision maker perception of information quality cues from an information system (IS) and the process which creates such meta cueing, or data about cues, is a critical yet un-modeled component of situation awareness (SA). Examples of common information quality meta cueing for quality criteria include custom ring-tones for specific numbers (relevancy), automated color changes on a computer display as inputs age (timeliness), and automated interface pop ups for missing information (completeness). In this work, I propose an information flow model incorporating feed-forward control (FFC) as a means to provide such meta-cuing for decision makers. The empirical basis for this information flow model was evidence collected from a case study of an IS dependent Department of Defense (DoD) global command and control (C2) center."],"dc:identifier":["hdl:1920/8803"],"dc:subject":["Information technology","Engineering","Command and Control","Decision making","Feed-Forward Control","Information Quality","Perception","Situation Awareness"],"dc:title":["Decision Maker Perception of Information Quality: A Case Study of Military Command and Control"],"dc:type":["Dissertation"]},"updated_at":"2026-07-27T19:51:50Z"}