Graduation Year
2023
Document Type
Thesis
Degree
M.A.
Degree Name
Master of Arts (M.A.)
Degree Granting Department
Criminology
Major Professor
Bryanna Fox, Ph.D.
Co-Major Professor
Ráchael Powers, Ph.D.
Committee Member
John Cochran, Ph.D.
Keywords
GST, receptivity to change, subculture, self-legitimacy
Abstract
Prior research has shown that police officers’ perceptions has an influence on technological advancement implementation into an agency. Prior gunshot detection technology (GST) research has looked at how effective the technology is at decreasing response times, bringing gunfire to the attention of police, and tracking gun crime trends in the jurisdiction. However, it remains unknown whether police officers support the use of GST technology, and whether they feel that there is sufficient training and support available to them to utilize GST effectively. Therefore, this thesis aims to address several central questions regarding police officers’ perceptions of GST, their support for the use of the technology, GST’s perceived utility, effectiveness, workload burden, and how police subculture, organizational culture, and receptivity to change may potentially contribute to their viewpoints on GST. Using a sample from the Tampa Police Department, a 10-15 minute, anonymous survey was done to capture the officers’ perspectives of GST technology, their receptivity to change, their conformance to a police subculture, and their perception of their own self-legitimacy. This exploratory study had several statistical tests done to look at the relationship between these variables. Results saw that rank had a consistent effect on the agency and support of GST within the department. Officers showed that they wish to expand the GST technology into more locations and add cameras to areas where the GST technology is already located. Future research should look at the perspectives of other department officers in different jurisdictions.
Scholar Commons Citation
Weber, Courtney L., "Police Officers’ Perceptions of Gunshot Detection Technology" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10142