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Vegetarian and vegan dietary practices have recently moved from being marginal activities to occupying a more mainstream position. While the reasons for this have been analysed by many researchers, the extent to which the underlying motives may influence other behavioural contexts remains relatively unexplored. The present research thus analyses the degree to which vegetarians and vegans also act in an environmental and animal-conscious manner.

A self-administered survey was conducted among omnivores, conscientious omnivores, vegetarians and vegans in Austria. The research design is embedded in an extended version of the theory of planned behaviour (TPB). A mixed-mode sampling strategy resulted in 556 completed surveys.

The TPB correlation analysis shows that there are significant relations between dietary motives, subjective norms, attitudes, behavioural intentions and the behaviour in question. When considering all dietary groups, the results indicate that the differentiation in behaviour is impacted by dietary identity: the stricter the diet, the stronger the behaviour related to animal-wellbeing and environmental protection.

First, this research evaluated motivational drivers through a pairwise comparison, which resulted in strength factors instead of single motivational driver. Second and foremost, this research draws a connection between dietary categories and the wider behavioural implications related to these identities and their underlying motivational drivers.

The aim of this paper is to investigate consumer attitudes to, and acceptance of, affective communication in the context of pre‐knowledge regarding wood‐based food additives.

A survey of 263 Austrian consumers was carried out to investigate pre‐knowledge, attitude and attitude change as a result of affective communication about wood‐based food additives.

About 14 per cent of the sample had pre‐knowledge concerning wood‐based food additives. In general the attitudes towards wood‐based additives were significantly better than those towards food additives in general. The results indicate a connection between pre‐knowledge and attitude. Respondents who had knowledge about wood‐based food additives evaluated them better, especially in contrast to those who had wrong ideas about them. Furthermore, it proved possible to improve the evaluations of those respondents who did not know about wood‐based additives by providing basic information.

The provision of additional information would improve the marketing potential of wood‐based additives, especially in contrast to additives in general. If the topic is ignored, there is a risk that public discussion could be based on non‐knowledge‐based conceptions by some consumers. The provision of early impact information is suggested in this regard.

Although the use of wood as a raw material in the food industry is common, it has not been a subject of public or scientific discussion to date.

This study aims to propose a novel way to explore the narrative structure of advertisements, a nascent area of research, through the protagonist’s emotional arc progression.

The multi-methods approach is used. In Study 1, the authors explore the basic universal emotional arcs through the analysis of narrative advertisements from six key economies. In Studies 2 and 3, the authors experimentally test hypotheses concerning the narrative structure and viewers’ attitudes toward the narrative using representative samples (317 and 193 ads, respectively).

The authors identify five broad emotional arcs of the protagonist in audiovisual advertisements. Different emotional arcs are found to induce different attitudes in the audience. Narratives ending in a positive mode and the narrative arcs with higher emotional shifts are more favorably evaluated by the audience.

The present study is limited to textual stimuli tested in a US population and does not consider protagonist characteristic portrayal.

Understanding consumer preferences for different emotional arcs can help practitioners to develop more clutter-breaking and relevant advertisements.

To the best of the authors’ knowledge, this study is the first to explore the narrative structure theory in the context of advertisements using a positivist approach.

This study aims to analyse the systemic risk emitted by all publicly listed commercial banks in a key emerging economy, India.

The study makes use of the Tobias and Brunnermeier (2016) estimator to quantify the systemic risk (ΔCoVaR) that banks contribute to the system. The methodology addresses a classification problem based on the probability that a particular bank will emit high systemic risk or moderate systemic risk. The study applies machine learning models such as logistic regression, random forest (RF), neural networks and gradient boosting machine (GBM) and addresses the issue of imbalanced data sets to investigate bank’s balance sheet features and bank’s stock features which may potentially determine the factors of systemic risk emission.

The study reports that across various performance matrices, the authors find that two specifications are preferred: RF and GBM. The study identifies lag of the estimator of systemic risk, stock beta, stock volatility and return on equity as important features to explain emission of systemic risk.

The findings will help banks and regulators with the key features that can be used to formulate the policy decisions.

This study contributes to the existing literature by suggesting classification algorithms that can be used to model the probability of systemic risk emission in a classification problem setting. Further, the study identifies the features responsible for the likelihood of systemic risk.

During a two‐week voyage of the S.S. Israel from Haifa to New York, experiments were conducted with a platinum‐clad trailing anode system for cathodic protection. Preparation for the voyage and day‐to‐day working of the experiments are described as are the successful efforts made to overcome the mechanical difficulties that arose. Concrete results that emerge indicate a growing and glowing future for such installations on large ships.

In the current low-interest market environment, more and more asset managers have started to consider to invest in property markets. To implement adequate and forward-looking risk management procedures, this market should be analyzed in more detail. Therefore, this study aims to examine the housing market data from the UK. More specifically, sentiment data and house prices are examined, using techniques of time-series econometrics suggested by Toda and Yamamoto (1995). The monthly data used in this study is the RICS Housing Market Survey and the Nationwide House Price Index – covering the period from January 2000 to December 2018. Furthermore, the authors also analyze the stability of the implemented Granger causality tests. In sum, the authors found clear empirical evidence for unidirectional Granger causality from sentiment indicator to the house prices index. Consequently, the sentiment indicator can help to forecast property prices in the UK.

By investigating sentiment data for house prices using techniques of time-series econometrics (more specifically the procedure suggested by Toda and Yamamoto, 1995), the research question whether sentiment indicators can be helpful to predict property prices in the UK is analyzed empirically.

The empirical results show that the RICS Housing Market Survey can help to predict the house prices in the UK.

Given these findings, the information provided by property market sentiment indicators certainly should be used in a forward-looking early warning system for house prices in the UK.

To authors’ knowledge, this is the first paper that uses the procedure suggested by Toda and Yamaoto to search for suitable early warning indicators for investors in UK real estate assets.

Compulsion to buy is an important but neglected aspect of consumer behavior. This research uses cross‐cultural data from the USA and South Korea to study compulsive consumption behavior by focusing on individual factors. Three compulsive consumption behaviors (i.e. compulsive buying, compulsive substance abuse, and compulsive gambling/lottery play) are analyzed via structural equation modeling. The findings reveal that comorbidity (i.e. coexistence of more than two related compulsive consumption behaviors) is found in both countries. With one exception, the predicted personality traits (i.e. obsessive thoughts, risk‐taking tendencies) are significantly related to compulsive consumption behaviors in both countries.

Energy scenarios have long been successfully used to inform decision-making in energy systems planning, with a wide range of different methodological approaches for developing and evaluating them. The purpose of this study is to analyze the existing approaches and classify them with a morphological box.

This paper builds upon the methodological literature on developing and evaluating energy scenarios and presents a morphological box, which comprises parameters describing the scenario properties, (energy system) model properties, scientific practice and institutional settings of energy scenarios. The newly developed morphological box is applied to four selected energy scenarios of the German energy transition.

The morphological box is a suitable tool to classify current energy scenarios. The exemplary application also points toward four challenges in the current practice of energy scenario development and evaluation: increasing complexity of decision problems, transparency of the scenario development process, transparency of the decision support process and communication of uncertainty.

The morphological box of energy scenarios helps researchers soundly document and present their methodological approaches for energy scenario development and evaluation. It also facilitates the work of analysts who want to classify, interpret and compare energy scenarios from a methodological perspective. Finally, it supports the identification of gaps between current practice and the methodological literature on energy scenarios, leading to the development of new types of energy scenarios.

This paper aims to present recently published resources on information literacy and library instruction through an extensive annotated bibliography of publications covering all library types.

This paper annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2017 in over 200 journals, magazines, books and other sources.

The paper provides a brief description for all 590 sources.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.