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A risk based model for quantifying the impact of information quality
Information quality is one of the key determinants of information system success. When information quality is poor, it can cause a variety of risks in an organization. To manage resources for information quality improvement effectively, it is necessary to understand where, how, and how much information quality impacts an organization's ability to successfully deliver its objectives. So far, existing approaches have mostly focused on the measurement of information quality but not adequately on the impact that information quality causes. This paper presents a model to quantify the business impact that arises through poor information quality in an organization by using a risk based approach. It hence addresses the inherent uncertainty in the relationship between information quality and organizational impact. The model can help information managers to obtain quantitative figures which can be used to build reliable and convincing business cases for information quality improvement.EPSRCThis is the author accepted manuscript. The final version can be found on the publisher's website at: http://www.sciencedirect.com/science/article/pii/S0166361513002467 © 2013 Elsevier B.V. All rights reserved
Understanding and Specifying Information Security Needs to Support the Delivery of High Quality Security Services
In this paper we present an approach for specifying and prioritizing information security requirements in organizations. It is important to prioritize security requirements since hundred per cent security is\ud
not achievable and the limited resources available should be directed to satisfy the most important ones. We propose to explicitly link security requirements with the organization’s business vision, i.e. to provide business\ud
rationale for security requirements. The rationale is then used as a basis for comparing the importance of different security requirements.\ud
Furthermore we discuss how to integrate the aforementioned solution concepts into a service level management process for security services, which is an important step in IT Governance. We validate our approach by way of a focus group session
Chain Risk Model for quantifying cost effectiveness of phytosanitary measures
A Chain Risk Model (CRM) was developed for a cost effective assessment of phytosanitary measures. The CRM model can be applied to phytosanitary assessments of all agricultural product chains. In CRM, stages are connected by product volume flows with which pest infections can be spread from one stage to another. The arrangement of these stages can be varied. Experience with CRM was acquired through two cases: Clavibacter in Tomatoes and PSTVd (Potato Spindle Tuber Viroid) in potatoes. Employees from the Dutch Plant Protection Service (PD) will initially test CRM. Ten behoeve van een onderbouwde kosten effectieve afweging tussen fytosanitaire maatregelen is een Keten Risico Model ontwikkeld. Het KRM model is toepasbaar voor alle agrarische productketens. In het model zijn ketenschakels verbonden door product volume stromen, waarmee infecties kunnen worden verspreid. De rangschikking van de keten schakels kan door de gebruiker van het model worden gevarieerd. Met het model is ervaring opgedaan aan de hand van een tweetal cases: Clavibacter in tomaat en Potato Spindle Tuber Viroid (PSTVd) in aardappel. In eerste plaats wordt beoogd medewerkers van de PD te laten werken met KRM
Quantifying the Detrimental Impacts of Land-Use and Management Change on European Forest Bird Populations
The ecological impacts of changing forest management practices in Europe are poorly understood despite European forests being highly managed. Furthermore, the effects of potential drivers of forest biodiversity decline are rarely considered in concert, thus limiting effective conservation or sustainable forest management. We present a trait-based framework that we use to assess the detrimental impact of multiple land-use and management changes in forests on bird populations across Europe. Major changes to forest habitats occurring in recent decades, and their impact on resource availability for birds were identified. Risk associated with these changes for 52 species of forest birds, defined as the proportion of each species' key resources detrimentally affected through changes in abundance and/or availability, was quantified and compared to their pan-European population growth rates between 1980 and 2009. Relationships between risk and population growth were found to be significantly negative, indicating that resource loss in European forests is an important driver of decline for both resident and migrant birds. Our results demonstrate that coarse quantification of resource use and ecological change can be valuable in understanding causes of biodiversity decline, and thus in informing conservation strategy and policy. Such an approach has good potential to be extended for predictive use in assessing the impact of possible future changes to forest management and to develop more precise indicators of forest health
EcoEarnings: A Shore Thing
Leisure travel to the Caribbean is a key pillar of JetBlue's business model, with many customers flying to the region to enjoy paradise - like beaches and pristine waters. However, the ecosystems that support and provide those crystal - clear, turquoise - tinted seas are at risk. Some have already grossly deteriorated. Large - scale environmental degradation in the Caribbean is a risk to demand for leisure air travel to the area, thus impacting JetBlue.EcoEarnings: A Shore Thing seeks to quantify both the risk and return to JetBlue from the region's natural attractions. This study seeks to link the importance of clean, intact, and healthy beaches and shorelines to JetBlue's profitability in the Caribbean, with a focus on JetBlue and industry revenue per available seat mile (RASM).Our study began by observing a positive correlation between ecosystem health and RASM. The goal is to calculate the impact of the underlying drivers of ecosystem health -- including water quality, mangrove quality, and waste along the shorelines -- on industry RASM.We find positive correlations among water quality, mangrove health, limited waste on shorelines, and RASM, but more data is required to statistically prove and validate the model. This interim report serves as a call to gather more information about shoreline health and to rally the efforts of policy makers, the tourism industry, and tourists to protect the Caribbean's greatest natural resource s -- its ecosystems
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