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A practical guide for determining the evidential value of physicochemical data Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored. Statistical Analysis in Forensic Science will provide an invaluable practical guide for forensic experts and practitioners, forensic statisticians, analytical chemists, and chemometricians. Key features include: Description of the physicochemical analysis of forensic trace evidence. Detailed description of likelihood ratio models for determining the evidential value of multivariate physicochemical data. Detailed description of methods, such as empirical cross-entropy plots, for assessing the performance of likelihood ratio-based methods for evidence evaluation. Routines written using the open-source R software, as well as Hugin Researcher and calcuLatoR. Practical examples and recommendations for the use of all these methods in practice..

PurposeThe purpose of this paper is to analyze the status quo with regards to business process management (BPM) and collaboration and to show potential fields of future research in the area of collaborative BPM.Design/methodology/approachTo obtain results, authors employ the method of a systematic literature review using relevant existing guidelines. They not only search leading journals and conferences in the fields but also in ISI web of knowledge's web of science. Subsuming, 39 relevant articles are selected and analyzed with regards to concepts identified upfront.FindingsThe paper finds that collaborative BPM is a growing trend in information systems research, but that there still exist significant research gaps. Hence, it proposes a research agenda consisting out of five action fields pointing at potentially fruitful directions for future research.Research limitations/implicationsFirst, this paper provides an overview of the status quo in the field of collaborative BPM to young scholars. Second, it identifies five distinct research gaps that could be worth studying. However, this paper may be limited by the choice of dimensions and the selection of relevant articles.Practical implicationsThis paper informs practitioners about the status quo of research on collaborative BPM. Here, especially the analysis in the dimensions collaboration partner and BPM goals can help to evaluate the practitioner's strategy.Originality/valueThe results of this paper present the status quo of collaborative BPM literature. Hence, it also identifies research gaps and derives a research agenda.

International audience ; Pushed by recent legislation and smart disclosure initiatives, Personal Information Management Systems (PIMS) emerge and hold the promise of giving the control back to the individual on her data. However, this shift leaves the privacy and security issues in user's hands, a role that few people can properly endorse. Indeed, existing sharing models are difficult to administrate and securing their implementation in user's computing environment is an unresolved challenge. This paper advocates the definition of a Privacy-by-Design sharing paradigm, called SWYSWYK (Share What You See with Who You Know), dedicated to the PIMS context. This paradigm allows each user to physically visualize the net effects of sharing rules on her PIMS and automatically provides tangible guarantees about the enforcement of the defined sharing policies. Finally, we demonstrate the practicality of the approach through a performance evaluation conducted on a real PIMS platform.

International audience ; Pushed by recent legislation and smart disclosure initiatives, Personal Information Management Systems (PIMS) emerge and hold the promise of giving the control back to the individual on her data. However, this shift leaves the privacy and security issues in user's hands, a role that few people can properly endorse. Indeed, existing sharing models are difficult to administrate and securing their implementation in user's computing environment is an unresolved challenge. This paper advocates the definition of a Privacy-by-Design sharing paradigm, called SWYSWYK (Share What You See with Who You Know), dedicated to the PIMS context. This paradigm allows each user to physically visualize the net effects of sharing rules on her PIMS and automatically provides tangible guarantees about the enforcement of the defined sharing policies. Finally, we demonstrate the practicality of the approach through a performance evaluation conducted on a real PIMS platform.

International audience ; Pushed by recent legislation and smart disclosure initiatives, Personal Information Management Systems (PIMS) emerge and hold the promise of giving the control back to the individual on her data. However, this shift leaves the privacy and security issues in user's hands, a role that few people can properly endorse. Indeed, existing sharing models are difficult to administrate and securing their implementation in user's computing environment is an unresolved challenge. This paper advocates the definition of a Privacy-by-Design sharing paradigm, called SWYSWYK (Share What You See with Who You Know), dedicated to the PIMS context. This paradigm allows each user to physically visualize the net effects of sharing rules on her PIMS and automatically provides tangible guarantees about the enforcement of the defined sharing policies. Finally, we demonstrate the practicality of the approach through a performance evaluation conducted on a real PIMS platform.

Financial Risk Management is a topic of primary importance in financial markets and, more generally, in life. Risk can be seen as an opportunity if related to the concept of compensative return. It is therefore important to learn how to measure and control risk, in order to get exposure to as much risk as is necessary to achieve some level of compensation, without further useless exposure.This book analyses the various types of financial risk a financial institution faces in everyday operations. Each type of risk is dealt with using a rigorous mix of analytical and theoretical approach, describing all the major models available in the literature, with an innovative look at the topic. This book covers the following aspects of risks and provides introductory overviews the most relevant statistical and mathematical tools:Market RiskInterest Rate RiskCredit RiskLiquidity RiskOperational RiskCurrency Risk Volatility RiskUnderstanding Financial Risk Management offers an innovative approach to financial risk management. With a broad view of theory and the industry, it aims at being a friendly, but serious, starting point for those who encounter risk management for the first time, as well as for more advanced users.

Organizations are paying greater attention to the environmental impact of their business activities, as external stakeholders such as shareholders, customers and policy makers are increasingly demanding improved environmental performance from firms globally. Clean production and green products have become important issues to manufacturers as the International Organization for Standardization (ISO) has produced frameworks such as the ISO14001 series. These standards are intended to provide organizations with the elements of an effective environmental management system (EMS) that can be integrated with other management requirements and assist organizations achieve environmental and economic goals. Firms have adopted environmental management systems (EMS) due to mounting government and industry pressures, yet little data exists in terms of the implementation of and practices within EMS. This paper aims to improve understanding and generate empirical data on firm activities in environmental management practices. This research will examine the nature and levels of environmental management practices within the industrial coatings industry by surveying the primary supply chain within an emerging market context. This paper employs a quantitative cross-sectional survey approach to provide empirical data from a sample of firms which have implemented an EMS. The study is executed in an emerging market country allowing for international comparisons in similar contexts. For the purpose of this study the population comprised suppliers of industrial coatings raw materials and industrial coatings manufacturers operating within the broader chemicals sector in South Africa. This emerging market country context provides a unique environment with opportunities to expand theory. A diverse sample frame ensured heterogeneity in the final sample representing several value chain activities in this industry. The survey was administered electronically to key players in this industry, with a 64 per cent response rate, resulting in a final ...