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The objective of this paper is to provide information that can guide governmental intervention strategies to increase demand‐driven supply of food safety. The secondary aim is to rank safety attributes relative to other quality characteristics that consumers associate with pork.

Consumers' preferences for safety as a quality characteristic in pork are investigated using choice experiments. An internet‐based survey was carried out with 1,322 Danish consumers.

There is a clear ranking of characteristics: domestic produce and low fat are valued as the most important attributes associated with minced pork, followed by reduced Salmonella risks, reduced use of antimicrobial agents, and increased animal welfare. In addition, it is found that consumers stated a clear willingness‐to‐pay for all the assessed product attributes – including the safety attributes.

The positive price premiums for safer food suggest that demand‐driven market‐based solutions might indeed be used to increase the supply of safer food – provided that adequate labelling allows consumers to distinguish between products that differ from each other only with respect to non‐visible safety characteristics. However, it is not suggested that food safety can be left entirely to be determined by market forces due to market failures, consumer preferences and large uncertainties.

Earlier studies have not identified a unique ranking of the importance of safety relative to other quality characteristics in meat products. The main concern is that the value of food safety may be overestimated when it is not valued relative to a full set or as close to a full set as possible of other quality characteristics, which has been attempted in the present survey.

The purpose of this paper is to investigate the evidence for a positive correlation between increased consumption of organic products and potential climate change mitigation via decreased consumption of meat and it is discussed to what extent organic consumption is motivated by climate change concerns.

A fixed effects model together with a factor analysis and ordinary least square are used to analyse household purchase data for 2,000 households in 2006-2010 combined with survey questionnaire data from 2008.

A small but statistically significant correlation between increasing organic budget shares and decreasing meat budget shares is found. People include food-related behaviour such as the purchase of organic food and reduced meat consumption as ways to mitigate climate change. However, other behavioural modifications such as reduction of car usage and household heating are perceived as more important strategies.

Other food-related mitigation strategies could be investigated. The climate effect of different diets – and how to motivate consumers to pursue them – could be investigated. Individual as opposed to household data would supplement the analyses.

Demand-side policies aiming at climate-friendly consumption could be a central factor in combating climate change. Already, food-related mitigation strategies such as lowered meat consumption are established practices among a group of organic consumers. As some consumers believe that climate change can be mitigated by consuming organic food, the authors propose that this is taken into account in the development of organic farming.

The authors propose a shift from analysing the climate-friendliness of production to addressing the climate-friendliness of consumption using consumption of organic food as a case. The authors link stated concerns for climate changes with actual food-related behaviour.

Discusses experiences on the development and use of horizontal and vertical prototypes. Explains the difference. Resolves that horizontal prototypes can be developed with ′little effort′, but end users are reluctant to become involved in the development process. Contrastingly resolves that vertical prototypes appear to stimulate constructive response. Reasons that developers should be aware of the tacit knowledge which plays an important part in users′ work practices and should be involved early in the development process. Proposes three techniques to meet the requirements – participation, simulation and evaluation.

This paper shows that the measure of diffusion introduced by Ian Rowlands called the journal diffusion factor (JDF) is highly negatively correlated with the number of citations, leading highly cited journals to get a low JDF, whereas less cited journals get a high JDF. This property reduces the utility of the JDF as a tool for evaluation of research influence. The paper presents a new definition of the JDF in order to attempt to improve it. This new JDF corrects the strong correlation with the number cited, but has a strongly statistically positive correlation with journal impact factors (JIF). However, the new JDF may still be used as an evaluation tool since, for journals with similar JIF values, the new JDF can be used to differentiate between them. Thereby, journal evaluation will be based on more than one aspect of journal influence when assessing journal influence with similar journal impact factor values.

The purpose of this paper is to propose a multiple set of journal evaluation indicators using methods and theories from author analysis. Among those are the journal citation identity and the journal citation image.

The Journal of Documentation is celebrating its 60th anniversary, and for that reason it is portrayed in a bibliometric study using the two indicators, based, e.g. on analyses of references in journal articles and journal co‐citation analyses.

The Journal of Documentation, which is portrayed in this study is characterized by high impact and high visibility. It publishes a relatively low number of documents with scientific content compared to other journals in the same field. It reaches far into the scientific community and belongs to a field that is more and more visible. The journal is relatively closely bounded to Western Europe, which is an increasing tendency.

The research is based on analyses of just three LIS journals.

Journal citation identity and the journal citation image indicators contribute in giving a more detailed multifaceted picture of a single journal.

The multiple set of indicators give rise to a journal evaluation of a more qualitative nature.

Citation analysis is widely used as an evaluation method within sciences. The purpose of this paper is to use citation analyses to add insight into the interaction between economics journals.

The paper presents a method of citation analysis using multiple linear regressions on both cited and citing economics journals. The proposed method controls for the different characteristics of the journals as well as for their degree of interaction.

The paper shows some of the hidden structures within the science of economics that are determinants for the results from citation analysis. The analysis indicates several underlying factors within citation patterns in economics that should be accounted for when doing citation analysis for evaluation purposes. A journal is to a large extent self‐supplying with citations but, when this is extracted from the data, journals are dependent on similar journals – with respect to sub‐discipline, geography and JIF – to supply citations.

The analysis in this paper includes only a sub‐set of the journals of the science of economics and other sciences may exhibit other patterns and thus other underlying factors.

In an evaluation that takes place across a wide board of sciences an analysis of both cited and citing journals may help to determine which factors should be taken into account in the evaluation.

This type of analysis enables one to analyse some of the characteristics that separate the sciences.