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The Dynamic Cyber Workplace and Cybersecurity Protocol

Graduate #49
Discipline: Social, Behavioral, and Economic Sciences
Subcategory: Social Sciences/Psychology/Economics
Session: 1
Room: Embassy

DeAndre Bradley - Norfolk State University


Background: This poster presents an investigation of the relationship between Cybersecurity Rules and employees’ performance. Cybersecurity is the protection against the criminal or unauthorized use of electronic data. The focus of this presentation is to learn if employees’ performance is affected by cybersecurity rules and protocols. This is a sociology of organization analysis, where the factors that share cybersecurity rule and employees’ attitudes them will be presented. The main focus of the presentation is the efficiency and effectiveness of organization’s cybersecurity protocols. An organization’s cybersecurity measures should not frustrate the employees, causing their job performance to be negatively impacted. The modern, efficient organization, from a factory to a social media giant, have better employee outcomes when they stand on the principles of efficiency and performance predictability.Methodology: Through a series of qualitative interviews, the views of 17 employees who love and work in nearby cities was gathered. All the respondents were interviewed through Zoom, and they were asked were guaranteed anonymity and confidentiality so they could speak freely.Hypothesis: Employees performance is impacted positively by inconsistent cybersecurity protocols.Results: The respondents expressed they had varying levels of cybersecurity expertise at the time of the interview. For the most part they agreed that they worked better if their organization was clear about their cybersecurity polices.

Funder Acknowledgement(s): National Science Foundation_Excellence in Research

Faculty Advisor: Carlene Turner, PhD, cmturner@nsu.edu

Role: I conducted the interviews and cleaned the abstract.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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