Role of labels referring to quality and country of origin in food consumers’ decisions

Within a survey made of Hungarian awareness of, attitudes towards, and preferences for food labels and pricing, this study focused on consumers’ reactions to quality and country of origin labels. Data were collected with a standard questionnaire, face-to-face interviews (1000 participants) in the respondents’ home. It became obvious that consumers were looking for information about quality (rating its importance at 4.04) on packages, but information about origin (3.94) and production (3.89) was also important to them. The capability of respondents to spontaneously recall country of origin and quality labels was very limited: 35.5% of all respondents could not name any such labels. The best known label was “Hungarian Product” (30.5%), which was recognized by up to 90% of the respondents after they were shown it. Many consumers were ready to pay premium for products bearing this label (31.7%). According to our results, information about quality is important to consumers, but they do not look for it deliberately, and only a few consumers ascribe a higher value to products with labels bearing this information. There is a pressing need to increase consumers’ confidence for trademarks through dissemination of reliable information

Global Maps of Science based on the new Web-of-Science Categories

In August 2011, Thomson Reuters launched version 5 of the Science and Social Science Citation Index in the Web of Science (WoS). Among other things, the 222 ISI Subject Categories (SCs) for these two databases in version 4 of WoS were renamed and extended to 225 WoS Categories (WCs). A new set of 151 Subject Categories (SCs) was added, but at a higher level of aggregation. Since we previously used the ISI SCs as the baseline for a global map in Pajek (Rafols et al., 2010) and brought this facility online (at http://www.leydesdorff.net/overlaytoolkit), we recalibrated this map for the new WC categories using the Journal Citation Reports 2010. In the new installation, the base maps can also be made using VOSviewer (Van Eck & Waltman, 2010).Comment: Scientometrics, in pres

Evolution of coronal jets during Solar Cycle 24

The focus of this study is on the spatial and temporal distributions of 2704 solar jets throughout Solar Cycle 24, from beginning to end. This work is a follow-up paper by Liu et al. With this extended data set, we have further confirmed the two distinct distributions of coronal jets: one located in polar regions and another at lower latitudes. Further analysis of the series of coronal jets revealed kink oscillations of the global solar magnetic field. Additionally, studying the northern and southern hemispheres separately showed an antiphase correlation that can be interpreted as a global sausage oscillatory pattern of the loci of the coronal jets. We also investigated how the variability of the solar cycle may impact the power law index of coronal jets by dividing the data set into the rising and declining phases of Solar Cycle 24. However, there is no compelling evidence to suggest that the power law index changes after the maximum. It is worth noting that based on this vast database of solar jets, the degradation of the 304 Å channel of the Atmospheric Imaging Assembly instrument on board the Solar Dynamics Observatory can also be identified and confirmed. Finally, we searched for compelling signatures of the presence of active longitude in the coronal jet database. There was no obvious evidence with a high probability of an active longitude; therefore, this question remains yet to be addressed further

Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence

I present a framework based on the concepts of diversity and coherence for the analysis of knowledge integration and diffusion. Visualisations that help understand insights gained are also introduced. The key novelty offered by this framework compared to previous approaches is the inclusion of cognitive distance (or proximity) between the categories that characterise the body of knowledge under study. I briefly discuss the different methods to map the cognitive dimension