The Determinants of Trust and Credibility in Environmental Risk Communication: An Empirical Study

This study examines a key component of environmental risk communication; trust and credibility. The study was conducted in two parts. In the first part, six hypotheses regarding the perceptions and determinants of trust and credibility were tested against survey data. The hypotheses were supported by the data. The most important hypothesis was that perceptions of trust and credibility are dependent on three factors: perceptions of knowledge and expertise; perceptions of openness and honesty; and perceptions of concern and care. In the second part, models were constructed with perceptions of trust and credibility as the dependent variable. The goal was to examine the data for findings with direct policy implications. One such finding was that defying a negative stereotype is key to improving perceptions of trust and credibility.     

ATSDR Science Panel on the Bioavailability of Mercury in Soils: Lessons Learned

On the basis of discussion and analysis during and following an ATSDR science panel on the bioavailability of mercury in soils, it is apparent that the default assumption of 100% relative bioavailability for mercury-contaminated soils is excessively conservative. However, current knowledge does not allow the development of default assumptions or guidelines for determining relative bioavailability of mercury in soils. Until such default assumptions or guidelines can be developed, site-specific assays of bioavailability, preferably using either animal bioassays or validated in vitro techniques, may provide the best approach for estimating soil-mercury bioavailability.     

Volatility-based Effects on Shareholder Value: Alliance Activity in the Computing Industry

We use an event-study analysis to understand how alliance activity affects firm risk. The risk measure is the implied volatility of a firm’s stock price and the events are alliance announcements to the market. We build on the previous event-studies in the alliance literature that focus on the change in shareholder value by taking the first step in delineating what part of that value arises from the changes in the firm’s risk. The analysis reveals that a number of factors within a firm’s control can be used to manipulate risk exposure in an alliance, including the similarity of the firm’s and the alliance’s core activities, the governance form of the alliance, and the function of the alliance.     

A Conceptual Model for Researching the Creation and Operation of Supply Networks1

This paper presents a conceptual model for the creation and operation of supply networks. Existing conceptual research relating to interorganizational relationships and networks is reviewed in terms of its relevance to understanding supply networks; this research is drawn from the fields of strategic management, channel management, industrial marketing and purchasing, organizational behaviour and supply‐chain management. The different perspectives each field has on networks are highlighted. Contributions made by each in assisting to understand supply networks are discussed and synthesized. Findings from an exploratory survey are used to structure the design of a conceptual model for analysing the processes involved in the creation and operation of supply networks. The authors identify nine different types of networking activities and discuss the nature of these activities in the context of supply. Four different types of contextual factors relating to supply networks are identified. The model is tested in eight in‐depth case studies and a validating survey of 58 focal firm networks. It is concluded that it provides a robust structure that enabled complex, cross‐case analysis of multi‐variable, multi‐disciplinary data from interorganization product/service supply networks, but that further testing by other researchers is required.     

Developing the Concept of Transparency for Use in Supply Relationships

Management concern surrounding the supply of goods and services from business to business, and the related attempts to understand the phenomena observed therein, appears to rest upon a broad range of incompatible perspectives, from political science (often limited to considerations of power) to the logistical (akin to manipulation of a great, benign but dynamic jigsaw puzzle). It appears that all perspectives abrade against the difficulties of exchanging information, knowledge and innovation within the relationships between buying and selling organizations and the apparent chronic systemic inefficiency that transactions often represent in this context. This article addresses these concerns, exploring the concept of transparency and the developments necessary for it to be useful in exchanging sensitive information and tacit knowledge in supply relationships. Our central concern is how the understanding of transparency and its commercial importance may change when it is expressed as a manageable element of the relationship between two organizations rather than as a general property of a broader system (e.g. a supply network, industrial sub-sector, geographical cluster) and what utility this differentiation might hold for managers. The conclusion to the article, and the implication for managers, is that transparency might indeed be created and usefully managed within supply relationships but that it would differ fundamentally in meaning from previously posited concepts, with the same name, in different contexts.     

Internalized Other Interviewing in Relational Therapy: Three Discursive Approaches to Understanding its Use and Outcomes

For over 20 years, family therapist Karl Tomm has been engaging families and couples with a therapeutic intervention he calls Internalized Other Interviewing (IOI). The IOI (cf. Emmerson‐Whyte, 2010; Hurley, 2006) entails interviewing clients, from the personal experiences of partners and family members as an internalized other. The IOI is based on the idea that through dialogues over time, one can internalize a sense of one's conversational partner responsiveness in reliably anticipated ways. Anyone who has thought in a conversation with a family member or partner, “Oh there s/he goes again,” or anticipates next words before they leave the other's mouth, has a sense of what we are calling an internalized other. For Tomm, the internalized anticipations partners and family members may have offers entry points into new dialogues with therapeutic potential—particularly, when their actual dialogues get stuck in dispreferred patterns.     

On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection

Wavelet thresholding of spectra has to be handled with care when the spectra are the predictors of a regression problem. Indeed, a blind thresholding of the signal followed by a regression method often leads to deteriorated predictions. The scope of this article is to show that sparse regression methods, applied in the wavelet domain, perform an automatic thresholding: the most relevant wavelet coefficients are selected to optimize the prediction of a given target of interest. This approach can be seen as a joint thresholding designed for a predictive purpose. The method is illustrated on a real world problem where metabolomic data are linked to poison ingestion. This example proves the usefulness of wavelet expansion and the good behavior of sparse and regularized methods. A comparison study is performed between the two-steps approach (wavelet thresholding and regression) and the one-step approach (selection of wavelet coefficients with a sparse regression). The comparison includes two types of wavelet bases, various thresholding methods, and various regression methods and is evaluated by calculating prediction performances. Information about the location of the most important features on the spectra was also obtained and used to identify the most relevant metabolites involved in the mice poisoning.