Information sharing among law enforcement entities became a national priority after the 9/11 attack (Carter, 2005). Various information systems utilized by law enforcement agencies may be promising; however, there is little extant empirical research to validate the system's effectiveness related to increasing investigative success (Bureau of Justice Assistance, 2010). One information system that has tied together numerous Florida law enforcement agencies is the FINDER system. FINDER, the Florida Integrated Network for Data Exchange and Retrieval system, provides agency investigators a wide range of information not previously available (Reynolds, Griset, and Scott, 2006; Scott, 2006). This study's foundation was primarily based upon the conceptual frameworks of diffusion of innovations and knowledge management. Survey based information from investigators using FINDER and those using a non-FINDER information system was obtained and analyzed to determine if the information impacted investigative success. Questionnaires were sent to those law enforcement investigators that participate in the FINDER system, as well as those who use a non-FINDER system. Through descriptive and regression analysis, it was found that FINDER participants reported there was a positive contribution to investigative success. The research also found that certain information obtained from FINDER assisted in arrests and an investigator's ability to solve cases. This study provides a foundation for further information system research related to case solvability and investigative success.

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' 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.

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This thesis explores Centralised Demand Information Sharing (CDIS) in supply chains. CDIS is an information sharing approach where supply chain members forecast based on the downstream member’s demand. The Bullwhip Effect is a demand variance amplification phenomenon: as the demand moves upstream in supply chains, its variability increases. Many papers in the literature show that, if supply chain members forecast using the less variable downstream member’s demand, this amplification can be reduced leading to a reduction in inventory cost. These papers, using strict model assumptions, discuss three demand information sharing approaches: No Information Sharing (NIS), Downstream Demand Inference (DDI) and Demand Information Sharing (DIS). The mathematical analysis in this stream of research is restricted to the Minimum Mean Squared Error (MMSE) forecasting method. A major motivation for this PhD research is to improve the above approaches, and assess those using less restrictive supply chain assumptions. In this research, apart from using the MMSE forecasting method, we also utilise two non-optimal forecasting methods, Simple Moving Averages (SMA) and Single Exponential Smoothing (SES). The reason for their inclusion is the empirical evidence of their high usage, familiarity and satisfaction in practice. We first fill some gaps in the literature by extending results on upstream demand translation for ARMA (p, q) processes to SMA and SES. Then, by using less restrictive assumptions, we show that the DDI approach is not feasible, while the NIS and DIS approaches can be improved. The two new improved approaches are No Information Sharing – Estimation (NIS-Est) and Centralised Demand Information Sharing (CDIS). It is argued in this thesis that if the supply chain strategy is not to share demand information, NIS-Est results in less inventory cost than NIS for an Order Up To policy. On the other hand, if the strategy is to share demand information, the CDIS approach may be used, resulting in lower inventory cost than DIS. These new approaches are then compared to the traditional approaches on theoretically generated data. NIS-Est improves on NIS, while CDIS improves on the DIS approach in terms of the bullwhip ratio, forecast error (as measured by Mean Squared Error), inventory holding and inventory cost. The results of simulation show that the performance of CDIS is the best among all four approaches in terms of these performance metrics. Finally, the empirical validity of the new approaches is assessed on weekly sales data of a European superstore. Empirical findings and theoretical results are consistent regarding the performance of CDIS. Thus, this research concludes that the inventory cost of an upstream member is reduced when their forecasts are based on a Centralised Demand Information Sharing (CDIS) approach.

Background: An increasing number of couples turn to treatment with oocyte or sperm donation, but there is limited knowledge regarding the consequences of these treatments in a program using identifiable donors. Aim: The overall aim was to study information-sharing among heterosexual couples following identity-release gamete donation. A further aim was to study donors’ attitudes towards future contact with donation offspring. Methods: The four studies were part of The Swedish Study on Gamete Donation; a prospective, longitudinal study of donors and recipients of donated oocytes and sperm. Study I and II had a quantitative approach with recipients of donated oocytes or sperm participating through questionnaires at start of treatment, two months after the first treatment and when their child was 1-4 years old. Study III was a qualitative interview study with 30 parents following sperm donation with school-aged children. Study IV had a quantitative approach with oocyte and sperm donors participating through questionnaires 5-8 years post-donation. Results: Study I revealed that the recipients of donated gametes in general were open about their treatment with the people around them and supported disclosure to offspring regarding his/her genetic origin. Study II reported that most of those who became parents following donor conception intended to share information about the donation with their offspring and some had already started the information-sharing process with their young child. Study III described information sharing with the offspring to be a process of several levels, revealing various amounts of information about the way of conception. The parent was seen to be the owner of the process and moving the process forward with different aspects and the reactions of the offspring serving as driving or impeding forces of the process. Study IV reported that a majority of the gamete donors seem to have a positive or neutral attitude towards a future meeting with a donation offspring. Conclusion: The present thesis suggests that there is a trend towards more openness among recipients of donated gametes in Sweden. It also points out that most recipients and donors within the Swedish gamete donation programme acknowledge the child’s right to his/her genetic origin and have the best interest of the child in mind.

This research advances distributed information sharing by equipping nodes (e.g., software agents) in a distributed network with (1) partner selection algorithms in cooperative environments, and (2) strategies for providing and requesting information in competitive environments. In cooperative environments, information providers are willing to provide requested information, but information consumers must consider uncertainty in the quality of provided information when selecting appropriate information providers. In competitive environments, if a self-interested agent can be an information consumer and provider at the same time, agents need to determine the best ways to request and provide information so that the information acquisition utility can be maximized. This research defines a set of metrics for evaluating information acquisition utility, and presents a game-theoretic approach for determining the best information sharing strategies based on stochastic games. The results show how agents build collaborative relationships with appropriate agents and how the information acquisition utility is affected by those relationships. / text

<p align="justify">Aujourd'hui, la gestion des documents est l'un des problèmes les plus importants en informatique. L'objectif de cette thèse est de proposer un système de gestion documentaire basé sur une approche appelée recherche structurée et collaborative. Les caractéristiques essentielles sont :</p> <ul><li><p align="justify">Dès lors que les utilisateurs ont plusieurs centres d'intérêts, ils sont décrits par des profils, un profil correspondant à un centre d'intérêt particulier. C'est la partie structurée du système.</li> </p> <li><p align="justify">Pour construire une description des profils, les utilisateurs jugent des documents en fonction de leur intérêt</li> </p> <li><p align="justify">Le système regroupe les profils similaires pour former un certain nombre de communautés virtuelles</li></p> <li><p align="justify">Une fois les communautés virtuelles définies, des documents jugés comme intéressants par certains utilisateurs d'une communauté peuvent être partagés dans toute la communauté. C'est la partie collaborative du système.</p> </li></ul> <p align="justify">Le système a été validé sur plusieurs corpora de documents en utilisant une méthodologie précise et offre des résultats prometteurs.</p>

The ability to control one’s own personally identifiable information is a worthwhile human right that is becoming increasingly vulnerable. However just as significant, if not more so, is the right to health. With increasing globalisation and threats of natural disasters and acts of terrorism, this right is also becoming increasingly vulnerable. Public health practice – which is charged with the protection, promotion and mitigation of the health of society and its individuals – has been at odds with the right to privacy. This is particularly significant when location privacy is under consideration. Spatial information is an important aspect of public health, yet the increasing availability of spatial imagery and location-sensitive applications and technologies has brought location-privacy to the forefront, threatening to negatively impact the practice of public health by inhibiting or severely limiting data-sharing. This study begins by reviewing the current relevant legislation as it pertains to public health and investigates the public health community’s perceptions on location privacy barriers to the practice. Bureaucracy and legislation are identified by survey participants as the two greatest privacy-related barriers to public health. In response to this clash, a number of solutions and workarounds are proposed in the literature to compensate for location privacy. However, as their weaknesses are outlined, a novel approach - the multidimensional point transform - that works synergistically on multiple dimensions, including location, to anonymise data is developed and demonstrated. Finally, a framework for guiding decisions on data-sharing and identifying requirements is proposed and a sample implementation is demonstrated through a fictitious scenario. For each aspect of the study, a tool prototype and/or design for implementation is proposed and explained, and the need for further development of these is highlighted. In summary, this study provides a multi-disciplinary and multidimensional solution to the clash between privacy and data-sharing in public health practice.

Tech. (Logistics, Faculty of Management Sciences), Vaal University of Technology / The focus of this study was to examine the relationship between information sharing, information quality, strategic partnership and internal lean practices among Small and Medium-sized Enterprises in South Africa. It is essential to understand practitioners’ and entrepreneurs’ current knowledge towards the topic at hand in order to determine what interventions would be most beneficial in helping to curb the problem of the lack of knowledge in this area and to understand the underlying causes behind the problem, while creating awareness and giving new insight to those who are already aware of this topic. Data was collected from a sample of 350 Small to Medium Enterprises and the measurement items in the measuring instrument were measured using a 5-point likert scale. Thereafter the collected data was coded and analysed by means of structural equation modelling using the AMOS 21 software package. The results indicate that supplier information sharing and information quality have a strong influence on strategic partnership and in turn strategic partnership has a strong influence on internal lean practices among Small to Medium Enterprises. This indicates that the level and quality of information shared between Small to Medium Enterprises and their suppliers has a positive effect on the strength of their partnerships as well as on the internal practices of each Small to Medium Enterprise. Based on these results, conclusions were drawn and recommendations were put forward on how internal lean practices in Small to Medium Enterprises can be improved by means of information sharing, information quality and strategic partnerships.