S
Stéphane E. Collignon
Researcher at West Virginia University
Publications - 12
Citations - 354
Stéphane E. Collignon is an academic researcher from West Virginia University. The author has contributed to research in topics: Security information and event management & Supply chain. The author has an hindex of 6, co-authored 11 publications receiving 198 citations. Previous affiliations of Stéphane E. Collignon include Virginia Tech & Pamplin College of Business.
Papers
More filters
Journal ArticleDOI
Ripple Effect in the Supply Chain Network: Forward and Backward Disruption Propagation, Network Health and Firm Vulnerability.
TL;DR: This study examines the disruption propagation through simulating simple interaction rules of firms inside the SCN, and demonstrates that it is practically important to differentiate between forward and backward disruption propagation, as they are distinctive in the associated mitigation strategies and in the effects on network and individual firm performance.
Journal ArticleDOI
Determinants of early conformance with information security policies
TL;DR: The results show support for all the proposed relationships, except that subjective norm does not affect intentions, which is explained by the leading role of early conformers, which highlights the importance of context-specific theorizing by researchers.
Journal ArticleDOI
A dual privacy decision model for online social networks
TL;DR: It is found that the privacy calculus constructs influence the manner in which OSN users handle different informational categories, and this presents four key motivations for OSN use.
Journal ArticleDOI
Exposing others’ information on online social networks (OSNs): Perceived shared risk, its determinants, and its influence on OSN privacy control use
TL;DR: Examination of individuals’ perceptions of the risk their OSN activity poses to others’ information indicates culture, concerns regarding one’s own information, and Facebook information disclosure self-efficacy influence both risk components.
Journal ArticleDOI
A framework to explore innovation at SAP through bibliometric analysis of patent applications
Tabitha L. James,Deborah F. Cook,Sumali Conlon,Kellie B. Keeling,Stéphane E. Collignon,Trevor White +5 more
TL;DR: An expert system framework that utilizes text and data mining procedures for analyzing innovation through textual patent data is developed and a demonstration of how the bibliometric analysis can summarize and identify trends in innovation in a large software company is demonstrated.