Publikationsliste KOPS

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dc.contributor.author: Klüser, Jonathan

Spoken administrative language is a critical element in the relationship between citizens and the state, especially when it comes to face-to-face interactions between officials and citizens during the delivery of public services. But preceding work offers little insights on the verbal features of street-level bureaucracy. Drawing on communication studies, we argue that administrative language differs along both a relational and an informational linguistic component. To test the consequentiality of this theory, we design a factorial survey experiment with a representative sample of 1,402 German citizens. Participants evaluated audio recordings of a hypothetical service encounter where we systematically varied the language used by the official and the service decision, measuring participants’ service satisfaction as the main outcome. Based on regression analysis, we find that relational elements of administrative language improve citizen satisfaction, independent of the service outcome, but that the effect does not hold for the informational component. These findings emphasize the importance of relational communication in citizen-state interactions, which tends to be neglected in public administration theory and practice.

Fifty years after Feagin’s pioneering 1972 study, we present a systematic review of the measurement of attributions for poverty and economic inequality. We conducted a search for articles published from 1972 to 2023 in APA PsycArticles, Psychology and Behavioral Sciences Collection, APA PsycInfo, PSYNDEX Literature with PSYNDEX Tests, and Google Scholar. We used the following English keywords: “poor”, “poverty”, “inequality”, “attribution”, and “attributions” and their equivalents in Spanish. Applying our inclusion and exclusion criteria led to a final sample of 74 articles. We report three main findings. First, the majority of studies classify attributions on the dimensions of individualistic vs. structural. Second, there is a clear tendency to measure attributions for domestic poverty without considering supranational factors or poverty as a global challenge. Third, studies focus almost exclusively on poverty rather than (economic) inequality. We identify potential for future development within the literature, namely, from a domestic to a global perspective, from locus to controllability, and from poverty to inequality.

This paper studies the determinants of support for future generations, using novel survey data for the case of Germany. I find significant, but not overwhelming support for prioritizing the needs of future generations vs. the acute needs of present-day citizens. Moreover, individual-level and contextual factors matter too. High-income and highly educated citizens are on average more supportive of the needs of future generations, the elderly and women less so. Left-wing supporters are equally more supportive of future generations, especially supporters of the Greens and those subscribing to ‘green-alternative-liberal’ values. Supporters of the right-wing populist AfD are most strongly opposed. General political trust boosts support for future generations, and economically thriving local economies are associated with higher levels of support for future generations as well.

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Although recognized as a defining feature of the current political era, populism and its implications for non-market strategy remain undertheorized. We offer a framework that (a) conceptualizes populism and its progression over time; (b) outlines the risks populism generates for firms; and (c) theorizes effective nonmarket strategies under populism. Our framework anchors the political risk profile of populism in three interdependent elements: anti-establishment ideology, de-institutionalization, and short-term policy bias. These elements jointly shape the policymaking dynamics and institutional risks for firms under populism. Our analysis shows how firms can calibrate two nonmarket strategies – political ties and corporate social responsibility – to mitigate populism-related risks. We specify how particular configurations of political ties and CSR activities, aimed at the populist leadership, bureaucrats, political opposition, and societal stakeholders, minimize risk under populism. Further, we theorize how the effectiveness of specific attributes of political ties and CSR – namely their relative covertness (more vs. less concealed) and their relative focus (narrowly vs. widely targeted) – varies as a function of firm type (insiders vs. outsiders) and the probability of populist regime collapse. Finally, we address how motivated reasoning may bias firms' assessments of regime fragility and resulting strategy choices.

Stringent policies that significantly increase the cost of greenhouse gas emissions, such as CO₂, are increasingly necessary for mitigating climate change. Yet while richer individuals in society generate the most CO₂ emissions and thus will face the largest absolute cost burden, they also tend to be more supportive of stringent environmental policies. In this paper, we examine how information about the distribution of carbon emissions by income affects support for carbon taxation. While carbon taxation is widely advocated as the most efficient policy for mitigating climate change, it faces significant political hurdles due to its distributional costs. Using original survey data, with an embedded experiment, we find that providing information about the actual distribution of household CO₂ emissions by income significantly changes individuals' support for carbon taxation. These effects are particularly pronounced at the bottom of the household income distribution, leading to increased support for costly climate policies. However, individuals who believe that carbon taxes will reduce their income continue to hold their level of support for carbon taxation. Our findings have significant implications for understanding the public's response to the distributional consequences of the green transitions and ultimately their political feasibility.

Many workers are experiencing the downsides of being exposed to an overload of information and communication technology (ICT), highlighting the need for resources to cope with the resulting technostress. This article offers a novel cross-level perspective on technostress by examining how the context of the welfare state influences the relationship between income and technostress. Showing that individuals with higher income experience less technostress, this study argues that the welfare state represents an additional coping resource, in particular in the form of unemployment benefits. Since unemployment benefits insure income earners in the case of job loss, the negative effect of income on technostress should increase with higher levels of unemployment generosity. In line with these expectations, empirical results based on original survey data collected in collaboration with the OECD show that the impact of income on technostress varies across welfare state contexts. Implications for public health and policymakers are being discussed.

In numerous countries, both international migration and regional support for far-right political parties are on the rise. This is important considering that a frequent aim of far-right political parties is to aggressively limit the inflow of immigrants. Understanding how regional far-right political support affects the immigrants working in these regions is therefore vital for executives and organizations as a whole. Integrating political science research at the macro-level with stereotype threat theory at the individual level, we argue that regional far-right political support makes negative immigrant stereotypes salient, increasing the number of work-related performance errors conducted by immigrants while reducing those by natives. Using objective field data from a professional sports context, we demonstrate how subordinates’ immigrant status interacts with the political context in which they reside to predict their frequency of performance errors.