Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Impact of Organizational Commitment on Insiders’ Motivation to Protect Organizational Information Assets
2015222 citationsClay Posey, Tom Roberts et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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This map shows the geographic impact of Tom Roberts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Roberts more than expected).
This network shows the impact of papers produced by Tom Roberts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Roberts. The network helps show where Tom Roberts may publish in the future.
Co-authorship network of co-authors of Tom Roberts
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Roberts.
A scholar is included among the top collaborators of Tom Roberts based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Tom Roberts. Tom Roberts is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Burns, A. J., Tom Roberts, Clay Posey, & Paul Benjamin Lowry. (2019). The Adaptive Roles of Positive and Negative Emotions in Organizational Insiders’ Engagement in Security-Based Precaution Taking. SSRN Electronic Journal.2 indexed citations
2.
Burns, A. J., Clay Posey, Tom Roberts, & Paul Benjamin Lowry. (2017). Examining the Relationship of Organizational Insiders' Psychological Capital with Information Security Threat and Coping Appraisals. SSRN Electronic Journal.1 indexed citations
3.
Posey, Clay, et al.. (2014). Multiple Indicators and Multiple Causes (MIMIC) Models as a Mixed-Modelling Technique: A Tutorial and an Annotated Example. SSRN Electronic Journal.11 indexed citations
4.
Lowry, Paul Benjamin, et al.. (2014). Leveraging Fairness and Reactance Theories to Deter Reactive Computer Abuse Following Enhanced Organisational Information Security Policies: An Empirical Study of the Influence of Counterfactual Reasoning and Organisational Trust. SSRN Electronic Journal.4 indexed citations
Pasricha, Gurnain Kaur, et al.. (2013). Assessing Financial System Vulnerabilities: An Early Warning Approach. Bank of Canada review. 2013. 10–19.2 indexed citations
7.
Lowry, Paul Benjamin, et al.. (2013). Is Your Banker Leaking Your Personal Information? The Roles of Ethics and Individual-Level Cultural Characteristics in Predicting Organizational Computer Abuse. SSRN Electronic Journal.2 indexed citations
8.
Posey, Clay, et al.. (2013). Insiders’ Protection of Organizational Information Assets: Development of a Systematics-Based Taxonomy and Theory of Diversity for Protection-Motivated Behaviors. SSRN Electronic Journal.5 indexed citations
9.
Lowry, Paul Benjamin, James Gaskin, Nathan W. Twyman, Bryan Hammer, & Tom Roberts. (2012). Taking ‘Fun and Games’ Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM). Journal of the Association for Information Systems.29 indexed citations
10.
Posey, Clay, Rebecca J. Bennett, Tom Roberts, & Paul Benjamin Lowry. (2011). When computer monitoring backfires: Privacy invasions and organizational injustice as precursors to computer abuse. 7(1). 24–47.25 indexed citations
11.
Posey, Clay, et al.. (2011). When Computer Monitoring Backfires: Invasion of Privacy and Organizational Injustice as Precursors to Computer Abuse. SSRN Electronic Journal.76 indexed citations
12.
Posey, Clay, et al.. (2011). Motivating the Insider to Protect Organizational Information Assets: Evidence from Protection Motivation Theory and Rival Explanations. SSRN Electronic Journal.15 indexed citations
13.
Posey, Clay, et al.. (2010). How Explanation Adequacy of Security Policy Changes Decreases Organizational Computer Abuse. SSRN Electronic Journal.2 indexed citations
14.
Bovee, Matthew, Tom Roberts, & Rajendra P. Srivastava. (2009). Decisison Useful Financial Reporting Information Characteristics: An Empirical Validation of the Proposed FASB/IASB International Accounting Model. Journal of the Association for Information Systems. 368.3 indexed citations
15.
Courtney, James F., et al.. (2009). Inquiring Decision Systems: A Churchmanian Approach to Ethical Decision Making. Journal of the Association for Information Systems. 600.1 indexed citations
16.
Bovee, Matthew, Rajendra P. Srivastava, & Tom Roberts. (2008). Characteristics of Decision-Useful Financial Reporting Information: An Empirical Validation of the Proposed International Accounting Model.. ICIQ. 70–81.1 indexed citations
17.
Lowry, Paul Benjamin, Tom Roberts, Douglas L. Dean, & George M. Marakas. (2007). Toward Building Self-Sustaining Groups in PCR-Based Tasks Through Implicit Coordination: The Case of Heuristic Evaluation. Journal of the Association for Information Systems.5 indexed citations
18.
Roberts, Tom, Paul Benjamin Lowry, Paul H. Cheney, & Ross Hightower. (2006). Improving Group Communication Outcomes with Collaborative Software: The Impact of Group Size, Media Richness, and Social Presence. Journal of International Crisis and Risk Communication Research.1 indexed citations
19.
Lowry, Paul Benjamin & Tom Roberts. (2003). IMPROVING THE USABILITY EVALUATION TECHNIQUE, HEURISTIC EVALUATION, THROUGH THE USE OF COLLABORATIVE SOFTWARE. Journal of the Association for Information Systems. 284.5 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.