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A vision of an ENHanced ANalytic Constituent Environment

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TitleInfo
Title
A vision of an ENHanced ANalytic Constituent Environment
SubTitle
ENHANCE
Name (type = personal)
NamePart (type = family)
Kozlowski
NamePart (type = given)
Stephen
DisplayForm
Stephen Kozlowski
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Vasarhelyi
NamePart (type = given)
Miklos
DisplayForm
Miklos Vasarhelyi
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
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school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Constituent demands for improved transparency in governmental reporting have been increasing since the recent (2008-2009) financial crisis in the U.S. that impacted the financial well-being of a number of governmental entities at both state and local levels. Since that time several governmental entities in the U.S. have launched open data portals. But to-date these initiatives do not incorporate robust analytic capabilities to satisfy constituent inquiries. The purpose of this research is to present an ENHanced ANalytic Constituent Environment (ENHANCE) framework, facilitated by open government data, that fulfills the analytic requirements of the various governmental stakeholders, such as citizens, analysts, bond investors, creditors, vendors, auditors, and oversight officials. The first step in introducing this analytic capability is the availability of open governmental data, ideally presented in a standardized and easily usable format. The second step is that of providing a series of analytic ‘apps’ that can provide meaningful information to the entity’s stakeholders. The third step is the development of the ENHANCE framework within which apps can function, acting upon the standardized government data, to support constituent analytic requirements. A fourth step encompasses developing an ecosystem to provide additional feature and function to the user interaction with ENHANCE and support ENHANCE in the evolving environment in which it operates. This research contributes to academic literature by proposing an ENHanced ANalytic Constituent Environment (ENHANCE) framework where governmental stakeholders can create reports on demand to satisfy their analytic requirements. The concept of a robust analytic tool that provides meaningful analyses over open data is presented in this paper within the context of open government expenditure data. The ENHANCE concept provides capabilities to support an ‘armchair auditor’ activity (O’Leary, 2015). This research describes the concept of an audit ecosystem, that is, a natural progression in the deployment of computer-based CA/CM tools. An initial definition for an audit ecosystem is provided, stated at this point as a holistic approach to the design and development of a technology-driven framework to provide overall management and control of the audit technology components employed, and coordination of the activities of the participants involved. It is feasible that an ecosystem tailored to embellish and support ENHANCE capabilities can be developed and deployed. This paper provides a background on Design Science Research Methodology and describes the initial work undertaken using DSRM to drive the design and development of the ENHANCE framework, the app recommender system which comprises a significant technical part of the framework, and an audit ecosystem. In addition, this research provides a literature review of current practices with respect to open data initiatives and transparency in government financial reporting.
Subject (authority = RUETD)
Topic
Management
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_7206
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (x, 211 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Quantitative research
Subject (authority = ETD-LCSH)
Topic
Data mining
Note (type = statement of responsibility)
by Stephen Kozlowski
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3ZP48B0
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Kozlowski
GivenName
Stephen
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-04-13 15:19:58
AssociatedEntity
Name
Stephen Kozlowski
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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