A moderation analysis on the psychological factors of the IBB model by Iram & Chacharkar

Impulse buying behavior (IBB) is commonly practiced in society, however, there is little information about the psychological processes behind the behavior. In the world we live in today, most societies rely heavily on the economic progress and welfare of the people determining a society\u27s circular flow. Impulse buying is considered as a spontaneous action when purchasing items this behavior is usually seen elicited through a trigger, thus something internal or external has to be the source of the pull of that trigger. The model of impulse buying behavior by Chacharkar and Iram (2017) hypothesized various factors that lead to IBB. The researchers then aim to simplify this model down to the more psychologically considered factors and root a simpler model form the original and to test the model empirically by using a quantitative approach and a moderation analysis to find out the significance of the models psychological factors emotional appeal to advertisements (EAA) and self-regulation (SR) and how these factors lead to IBB

sj-docx-1-jmq-10.1177_10776990231190868 – Supplemental material for In AI We Trust: The Interplay of Media Use, Political Ideology, and Trust in Shaping Emerging AI Attitudes

Supplemental material, sj-docx-1-jmq-10.1177_10776990231190868 for In AI We Trust: The Interplay of Media Use, Political Ideology, and Trust in Shaping Emerging AI Attitudes by Shiyu Yang, Nicole M. Krause, Luye Bao, Mikhaila N. Calice, Todd P. Newman, Dietram A. Scheufele, Michael A. Xenos and Dominique Brossard in Journalism & Mass Communication Quarterly</p

Supporting the construction of workflows for biodiversity problem-solving accessing secure, distributed resources

In the Biodiversity World (BDW) project we have created a flexible and extensible Web Services-based Grid environment for biodiversity researchers to solve problems in biodiversity and analyse biodiversity patterns. In this environment, heterogeneous and globally distributed biodiversity-related resources such as data sets and analytical tools are made available to be accessed and assembled by users into workflows to perform complex scientific experiments. One such experiment is bioclimatic modelling of the geographical distribution of individual species using climate variables in order to explain past and future climate-related changes in species distribution. Data sources and analytical tools required for such analysis of species distribution are widely dispersed, available on heterogeneous platforms, present data in different formats and lack inherent interoperability. The present BDW system brings all these disparate units together so that the user can combine tools with little thought as to their original availability, data formats and interoperability. The new prototype BDW system architecture not only brings together heterogeneous resources but also enables utilisation of computational resources and provides a secure access to BDW resources via a federated security model. We describe features of the new BDW system and its security model which enable user authentication from a workflow application as part of workflow execution