Knowledge Management and Law Enforcement: An Examination of Knowledge Management Strategies of the Police Information System (POLNET) in the Turkish National Police

This research study explores knowledge management (KM) in law enforcement, focusing on the POLNET system established by the Turkish National Police as a knowledge-sharing tool. This study employs a qualitative case study for exploratory and descriptive purposes. The qualitative data set came from semi-structured face-to-face and telephone interviews, as well as self-administered e-mail questionnaires. The sample was composed of police administrators who created POLNET, working under the Department of Information Technologies and the Department of Communication. A content analysis method is used to analyze the data. This study finds that law enforcement organizations' KM strategies have several differences from Handzic and Zhou's integrated KM model. Especially, organizational culture and structure of law enforcement agencies differently affect knowledge creation, conversion, retrieval, and sharing processes. Accordingly, this study offers a new model which is dynamic and suggests that outcomes always affect drivers

An Investigation Into The Predictors Of Adoption And Utilization Of Information-sharing Networks By Local Law Enforcement In Three States

ABSTRACT A major change in longstanding police organizational behavior is increasingly evident in the recent emergence of computerized information-sharing networks in public safety. From both theoretical and empirical perspectives, a better understanding of the determinants that can explain and predict the rise and growth of this new and significant development in American policing is needed. A highly limited body of empirical studies has endeavored to validate effective predictors of adoption and utilization of electronic information-sharing networks by local law enforcement agencies. Utilizing an integrated theoretical framework largely built upon Rogers\u27 diffusion of innovations theory, sixteen hypotheses were tested through logistic regression and multiple regression analyses of survey research data collected from local law enforcement executives in the three states of California, New York, and Georgia. Qualitative research organized and conducted through targeted telephone interviews with twenty law enforcement executives across the three study states and with responses to open ended questions within the study survey instrument aided in the examination of these hypotheses. 66.7% of the cases of agency adoption of information sharing were correctly classified by the predictors within the logistic regression model. Adoption was positively influenced by a chief executive who demonstrated strong leadership and possessed more extensive experience in law enforcement. Adoption was negatively affected by increasing the opportunity to experiment with this innovation and advancing age of the chief executive. Both quantitative and qualitative findings confirmed that law enforcement agencies that exhibited dedicated leadership are more likely to adopt information-sharing networks. 19.4-25.9% of the variation in the outcome variable of adoption was explained by the predictors within the logistic regression model. Utilization was negatively impacted by growing autonomy of police organizations within the network but benefited from innovation attributes such as the acquisition of an advantage in crime fighting capabilities and reduced complexity in employment of the information-sharing network. 9.1% of the variation in utilization of information-sharing networks could be explained by the predictor variables included within the multiple regression model. Qualitative research also cross-validated the positive effect of gaining an advantage over the criminal element as influential to utilization. A greater advantage in preventing and solving crimes, higher levels of inter-organizational trust between police agencies, and enthusiastic executive leadership were found by the qualitative inquiry to enhance both adoption and utilization. Knowing in advance which theoretically informed and empirically validated antecedents can facilitate or impede adoption and utilization of information integration networks could enable policymakers and law enforcement administrators to optimize strategies to attain successful outcomes

Sensor networks for social networks

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.Includes bibliographical references (p. 51-55).This thesis outlines the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. The effectiveness of the software is validated by applying it to the problem of detecting face-to-face social interactions between groups of people, given data readings from sensors that record light, temperature, acceleration, sound, and proximity. This application represents a novel method for social network construction which is potentially more accurate and less intrusive than traditional methods, but also more meaningful than newer methods that analyze digitally mediated communication.by Michael P. Farry.M.Eng

Um método de tradução de fontes de informação em um formato padrão que viabilize a extração de conhecimento por meio de link analysis e teoria dos grafos

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Produção.O conhecimento tem se configurado como um recurso estratégico nas organizações. Para elas, gerar, codificar, gerir e disseminar o conhecimento organizacional tornaram-se tarefas essenciais. Logo, é necessário o desenvolvimento de novas técnicas, metodologias e formas de extração de conhecimento a partir de fontes de informação que descrevem um domínio de aplicação. Nesse contexto, o objetivo do presente trabalho é propor um método que permita traduzir fontes de informação em um formato padrão de representação de relacionamentos entre elementos do domínio do problema, de forma a viabilizar a extração de conhecimento por meio da aplicação de Link Analysis e Teoria dos Grafos. Além disso, são apresentadas duas aplicações desse modelo na Plataforma Lattes de CT&I

Makeshift Information Constructions: Information Flow and Undercover Police

This dissertation presents the social virtual interface (SVI) model, which was born out of a need to develop a viable model of the complex interactions, information flow and information seeking behaviors among undercover officers. The SVI model was created from a combination of various philosophies and models in the literature of information seeking, communication and philosophy. The questions this research paper answers are as follows: 1. Can we make use of models and concepts familiar to or drawn from Information Science to construct a model of undercover police work that effectively represents the large number of entities and relationships? and 2. Will undercover police officers recognize this model as realistic? This study used a descriptive qualitative research method to examine the research questions. An online survey and hard copy survey were distributed to police officers who had worked in an undercover capacity. In addition groups of officers were interviewed about their opinion of the SVI model. The data gathered was analyzed and the model was validated by the results of the survey and interviews