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Khazon Dissertation Final Document.pdf (1.59 MB)
ETD Abstract Container
Abstract Header
Changes in State Suspicion Across Time: An Examination of Dynamic Effects
Author Info
Khazon, Steve
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1477587389955739
Abstract Details
Year and Degree
2016, Doctor of Philosophy (PhD), Wright State University, Human Factors and Industrial/Organizational Psychology PhD.
Abstract
State Information Technology (IT) suspicion is the simultaneous action of uncertainty, mal-intent, and cognitive activity about underlying information that is being electronically generated, collated, sent, analyzed, or implemented by an external agent (Bobko, Barelka, & Hirshfield, 2014). Understanding IT suspicion is important in both military and civilian contexts as both are growing increasingly reliant on automation to augment human performance (e.g., Lenhart, Purcell, Smith, & Zickuhr, 2010). The current process model of state IT suspicion describes how suspicion arises and its immediate correlates. Little is known about how suspicion changes over time and what factors influence this change. Drawing upon the self-regulation (e.g., Baumeister, Bratslavsky, Muraven, & Tice, 1998) and attention (e.g., Just & Carpenter, 1992) literatures, I posited that suspicion is a mentally and emotionally demanding state that cannot be sustained for long periods of time. I used a growth curve modeling approach (Bliese, 2013) to examine how state IT suspicion changes over time and which factors influence this change. I found that state suspicion decreases over time and that factors related to cognitive activity and uncertainty influence the rate at which it changes. I discuss implications of my findings for the existing body of knowledge on IT suspicion, as well as its practical important in military and security contexts.
Committee
Nathan Bowling, Ph.D. (Committee Chair)
Gary Burns, Ph.D. (Committee Member)
Tamera Schneider, Ph.D. (Committee Member)
Joseph Lyons, Ph.D. (Committee Member)
Pages
143 p.
Subject Headings
Information Technology
;
Psychology
Keywords
automation
;
trust
;
suspicion
;
Information Technology
;
personality
;
growth curve
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Citations
Khazon, S. (2016).
Changes in State Suspicion Across Time: An Examination of Dynamic Effects
[Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1477587389955739
APA Style (7th edition)
Khazon, Steve.
Changes in State Suspicion Across Time: An Examination of Dynamic Effects.
2016. Wright State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1477587389955739.
MLA Style (8th edition)
Khazon, Steve. "Changes in State Suspicion Across Time: An Examination of Dynamic Effects." Doctoral dissertation, Wright State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1477587389955739
Chicago Manual of Style (17th edition)
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Document number:
wright1477587389955739
Download Count:
479
Copyright Info
© 2016, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.