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Assessing an Automated, Information Sharing Technology in the Post '9-11' Era: Do Local Law Enforcement Officers Think It Meets Their Needs:Doctoral thesis

机译:在“9-11”时代评估自动化信息共享技术:地方执法人员是否认为满足他们的需求:博士论文

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In the wake of the 9-11 terrorists attacks, the U.S. Government has turned to information technology (IT) to address a lack of information sharing among law enforcement agencies. This research determined if and how information-sharing technology helps law enforcement by examining the differences in perception of the value of IT between law enforcement officers who have access to automated regional information sharing and those who do not. It also examined the effect of potential intervening variables such as user characteristics, training, and experience, on the officers evaluation of IT. The sample was limited to 588 officers from two sheriffs offices; one of them (the study group) uses information sharing technology, the other (the comparison group) does not. Triangulated methodologies included surveys, interviews, direct observation, and a review of agency records. Data analysis involved the following statistical methods: descriptive statistics, Chi-Square, factor analysis, principal component analysis, Cronbach's Alpha, Mann-Whitney tests, analysis of variance (ANOVA), and Scheffe post hoc analysis.

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