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Analytics with exception prioritization, consumer search volume, and social capital
Descriptive
TitleInfo
Title
Analytics with exception prioritization, consumer search volume, and social capital
Name
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Li
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Pei
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Pei Li
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author
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Kogan
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Alexander
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Alexander Kogan
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Advisory Committee
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chair
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Vasarhelyi
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Miklos A.
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Miklos A. Vasarhelyi
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internal member
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Moffitt
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Kevin
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Kevin Moffitt
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Advisory Committee
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internal member
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Gal
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Graham
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Graham Gal
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Advisory Committee
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Rutgers University
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degree grantor
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Graduate School - Newark
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theses
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2016
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2016-05
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2016
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xx
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eng
Abstract
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This dissertation comprises three essays. The first essay addresses the issue of the large volume of exceptions generated by continuous auditing systems. A framework that uses the theory of belief functions is proposed to systematically prioritize exceptions based on the likelihood of an exception being erroneous. The evaluation of the proposed framework is implemented using a simulated experiment. The results of the experiment indicate that the framework has the potential to effectively prioritize exceptions. The second essay examines whether the consumer search volume can be employed as a type of nonfinancial information in analytical procedures to improve the accuracy of prediction and error detection. This study finds that the model that incorporates the consumer search volume generally outperforms the benchmark models in terms of prediction and error detection in analytical procedures. The third essay examines the impact of social capital on the municipal bond market. The municipalities with high social capital are expected to be more trustworthy and likely to honor their debt obligations. The results show that municipalities located in the high social capital areas issue bonds with lower yields. The findings from the secondary market also show that bonds issued by the municipalities located in the high social capital areas have higher prices.
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Management
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Rutgers University Electronic Theses and Dissertations
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ETD_7341
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electronic resource
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Extent
1 online resource (ix, 139 p. : ill.)
Note
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Ph.D.
Note
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Includes bibliographical references
Subject
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Topic
Social capital (Sociology)
Note
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by Pei Li
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Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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doi:10.7282/T3KD214G
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ETD doctoral
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Rights
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The author owns the copyright to this work.
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Name
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Li
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Pei
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Permission or license
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2016-04-28 13:56:30
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Pei Li
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Rutgers University. Graduate School - Newark
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Author Agreement License
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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
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Copyright protected
Availability
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Open
Reason
Permission or license
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Technical
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