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Recent Publications |
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A Guide for Stakeholder Analysis in IS/IT Management and Research: The Case of Broadband Availability in Rural North Carolina
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Communications of the Association for Information Systems
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2023;
V.53 N.1 pp. 23 ;
(M. Modaresnezhad, Judith Gebauer, Christopher Sibona, Kevin Matthews)
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A Computational Linguistic Analysis of the Anatomy of Production, Consumption, and Diffusion of Misinformation and Authentic Information in Social Media: The Case of the COVID-19 Pandemic
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Discourse & Communication
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2023;
pp. 1-56 ;
(M. Modaresnezhad)
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Cybersecurity Maturity Model Certification
Initial Impact on the Defense Industrial Base
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Journal of Information Systems Applied Research
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2022;
V.15 N.2 July ;
(M. Modaresnezhad, et al.)
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A Cloud-based System for Scraping Data
From Amazon Product Reviews at Scale
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Journal of Information Systems Applied Research
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2022;
V.15 N.3 October ;
(M. Modaresnezhad, et al.)
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An Adaptive Machine Learning System for predicting recurrence of child maltreatment: A routine activity theory perspective
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Knowledge-Based Systems
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2021;
V.227 September ;
(M. Modaresnezhad, Yuzhang Han, Hamid Nemati)
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Anxiety, job satisfaction, supervisor support and turnover intentions of mid-career nurses: A structural equation model analysis
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Journal of Nursing Management
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2020;
December ;
(M. Modaresnezhad, Martha C Andrews, Jessica Mesmer-Magnus, Chockalingam Viswesvaran, Satish Deshpande)
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Participatory Sensing or Sensing of Participation: Awareness and Privacy Concerns With Smart Device Applications
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International Journal of Technology and Human Interaction
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2020;
V.16 N.3 July pp. 124-143 ;
(M. Modaresnezhad, Hamid Nemati)
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Information Technology (IT) enabled crowdsourcing: A conceptual framework
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Information Processing & Management
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2020;
V.57 N.2 March pp. 102-135 ;
(M. Modaresnezhad, Lakshmi Iyer, Prashant Palvia, Vasyl Taras)
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The soul of the introductory information systems course
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Information Systems Education Journal
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2019;
V.17 N.5 October pp. 39-46 ;
(M. Modaresnezhad, George Schell)
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A rule-based semantic approach for data integration, standardization and dimensionality reduction utilizing the UMLS: Application to predicting bariatric surgery outcomes
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Computers in Biology and Medicine
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2019;
V.106 March pp. 84-90 ;
(M. Modaresnezhad, et al.)
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