Young Americans' ethnic identity toward disaster advertising: The effects of disaster location and message types

The purpose of this study is to examine young American donors' perspectives toward disaster ad messages. Attitude toward helping others, social responsibility, ethnic identity on donation behavior, attitude toward ad, and advertising effectiveness were examined using 2 experimental variables (disaster location and message types). The findings explain that the constructs are positively related to each other and the 2 experimental variables significantly influence young Americans' attitudes toward ads and advertising effectiveness. In addition, young Americans expressed stronger feelings concerning attitude toward charity ads, and a higher level of advertising effectiveness was demonstrated when the disaster occurred domestically. Further, emotional messages were considered more persuasive than factual messages. As managerial suggestions, when charities work for domestic disasters, emphasizing patriotism and an emotional message can increase the positive attitude toward ads and advertising effectiveness. On the contrary, when charities work for international disasters, the messages should focus on diminishing distinctions between in‐group and out‐group perceptions.     

National information and euro area monetary policy: a generalized ordered choice approach

We empirically analyze the influence of inflationary pressure originating from persistent national misalignments on the ECB’s interest rate decisions between 2000 and mid-2010. To do so, we introduce an indicator that summarizes the threat to euro area price stability originating from self-reinforcing expected inflation differentials. The indicator is computed based on persistent deviations of national expected inflation and GDP growth rates from the corresponding euro area aggregate. It thereby captures area-wide excess demand pressure on the euro area inflation rate. In order to determine the information content of this indicator, we add it to an empirical monetary policy reaction function. We then analyze this reaction function in the framework of a generalized ordered choice model that fits the data a lot better than its commonly used, more restricted counterpart. Within this empirical framework, we find that after controlling for several area-wide aggregates, national information does not provide additional information that is indicative of the ECB’s policy rate decision.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

From the blogosphere into the parliament: The role of digital technologies in organizing social movements

In this paper, we present a process model exploring the roles played by digital technologies (DTs) in the organization of collective action (CA) of social movements (SMs) at different points in their lifecycles. The process model, which is based on an exploratory case study of the Italian Five Star Movement, relates the environmental conditions to the working logic, structure and use of DTs at three different stages of the SMs. We explain how these choices are adopted at each stage to address internal and environmental challenges and how they create further challenges to be addressed to pass to the next stage. We further explore the dynamics between the logic of connective and collective action and reflect on the growing need for structures and control. By so doing, our work addresses the need for a better understanding of the coevolution between DTs and organizational structures and of the ways in which DTs are used to mobilize people to sustain CA along the SM lifecycle.     

An anatomy of zero‐hour contracts in the UK

We present the first attempt to locate zero‐hour contract (ZHC) jobs—jobs that lack a guaranteed minimum number of hours—within theoretical frameworks of the employment relationship and occupational class and empirically explore their characteristics using successive UK Labour Force Survey. In line with these theories, we find this contentious form of employment to be strongly differentiated by the nature of occupational tasks and to overlap with nonstandard employment features (e.g. part‐time and temporary). They are also highly concentrated in a small number of occupations and sectors, with over half of ZHC jobs found in just 10 occupations. We further show that ZHCs are associated with indicators of inferior job quality such as low pay and underemployment. Although we find no evidence that ZHCs are a particularly pervasive feature of the UK labour market, further growth cannot be ruled out in certain occupations.     

The development trinity: How regional integration impacts growth,inequality and poverty

Developing countries today have become more active participants in regional trade agreements. This raises questions about how the benefits of integration are distributed, and the extent to which lower‐income countries are able to capture development gains. Historically, such impacts have been difficult to identify with precision. This paper seeks to address this gap by empirically analysing the impact of regional integration on development, particularly the effects on growth and welfare. Using both bilateral and regional integration measures, we show that the ability to capture gains from integration varies across developing country regional groups, with developing Asia benefiting on par with developed countries. The findings in the paper indicate that trade and trade policy play an important role in reducing inequality and poverty in developing countries. It also shows that regionalism can function as a channel to make multilateralism a more adept way of addressing national challenges.     

The impact of prudential toolkits on loan growth in Central and Eastern European banking systems

This paper examines the effects of prudential policy on loan growth in 11 Central and Eastern European banking systems, spanning the period from 2000 to 2015. Based on the measures taken by the authorities of our sample countries, we build several prudential indices. Additionally, we control for the effects of several country-specific factors and bank-specific characteristics. Finally, we test the homogeneity of these effects, accounting for cycle, ownership, and bank effects. Generally, the empirical findings reveal a negative correlation between prudential toolkits and credit growth, with a conspicuous impact for tools targeting lending activity. We see that the effects of a change in the lending framework on loan growth are heterogeneous when we account for crisis and cycle patterns. Furthermore, the interaction between ownership and crisis reveals that, in normal times, foreign banks recorded higher loan growth compared to domestic banks. The opposite is true in turbulent times. The analysis of interactions between credit-based measures and bank-specific variables show that the effects of prudential actions depend on the bank size and leverage.