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Human-Centered Design of a Food Bank...

Delpish, Ritson K.

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Human-Centered Design of a Food Bank Smart Service System.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Human-Centered Design of a Food Bank Smart Service System./
Author:	Delpish, Ritson K.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	129 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:	Dissertations Abstracts International82-08B.
Subject:	Industrial engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28154122
ISBN:	9798569964635

Human-Centered Design of a Food Bank Smart Service System.
Delpish, Ritson K.

Human-Centered Design of a Food Bank Smart Service System. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 129 p.

Source: Dissertations Abstracts International, Volume: 82-08, Section: B.

Thesis (Ph.D.)--North Carolina Agricultural and Technical State University, 2020.

This item must not be sold to any third party vendors.

This dissertation explores the development of a smart service system and the human-centered methodologies used for its design. The smart system is an intelligent information aid for decision-making developed in partnership with the Food Bank of Central and Eastern Carolina. Food banks serve billions of meals to over 40 million people annually in the United States. Operations generate copious volumes of data from routine food transactions that are managed daily in spreadsheets. When one also considers the variety in sources, structure, and pace of data growth, food banks show all the hallmarks of Big Data. Yet the methods for processing of large data and analytics have seen relatively little change at food banks.This research focuses on the human and system design for delivering analytics, model-based analysis, and process support tools to food banks following human-centered design principles. A framework for user requirements and system design incorporating visual analytics with interactive dashboards is presented. Dashboards of agency distribution, monthly shopping activity, and other food bank data were created to provide deeper data insights. An analysis of the agency status judgment was done using Brunswik's Lens model and agency monthly reports data. Finally, the smart system prototype's design development is also presented from early concept to its current functional iterations. Unlike traditional system development efforts, this research is truly human-centered and integrates data analytics, human factors, and system design in a smart system for a humanitarian relief organization. This research advances knowledge in this emerging field.

ISBN: 9798569964635Subjects--Topical Terms:

526216
Industrial engineering.
Subjects--Index Terms:

Data analytics

Human-Centered Design of a Food Bank Smart Service System.
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500 $a Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
500 $a Advisor: Jiang, Steven X.
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520 $a This dissertation explores the development of a smart service system and the human-centered methodologies used for its design. The smart system is an intelligent information aid for decision-making developed in partnership with the Food Bank of Central and Eastern Carolina. Food banks serve billions of meals to over 40 million people annually in the United States. Operations generate copious volumes of data from routine food transactions that are managed daily in spreadsheets. When one also considers the variety in sources, structure, and pace of data growth, food banks show all the hallmarks of Big Data. Yet the methods for processing of large data and analytics have seen relatively little change at food banks.This research focuses on the human and system design for delivering analytics, model-based analysis, and process support tools to food banks following human-centered design principles. A framework for user requirements and system design incorporating visual analytics with interactive dashboards is presented. Dashboards of agency distribution, monthly shopping activity, and other food bank data were created to provide deeper data insights. An analysis of the agency status judgment was done using Brunswik's Lens model and agency monthly reports data. Finally, the smart system prototype's design development is also presented from early concept to its current functional iterations. Unlike traditional system development efforts, this research is truly human-centered and integrates data analytics, human factors, and system design in a smart system for a humanitarian relief organization. This research advances knowledge in this emerging field.
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