Fakultät Wirtschafts- und Sozialwissenschaften
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Die Fakultät vereint Forschung und moderne Lehre nach internationalen Standards. Das Hohenheimer Modell verzahnt dabei betriebs- und volkswirtschaftliche, sozial- und rechtswissenschaftliche Aspekte.
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Browsing Fakultät Wirtschafts- und Sozialwissenschaften by Sustainable Development Goals "8"
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Publication Anger: The misunderstood and mismanaged workplace emotion(2025) Umbra, Robin; Fasbender, UlrikeAnger is a familiar yet often misunderstood and mismanaged emotion in organizational settings, commonly viewed as a purely negative force to be mitigated. This dissertation challenges such reductive perspectives by proposing a comprehensive reconceptualization of workplace anger as a potentially constructive emotion. It argues that, when properly understood and managed, anger can enhance employee productivity and well-being. Through a systematic examination of the antecedents, characteristics, and outcomes of anger in the workplace, this work introduces new theoretical frameworks and empirically validated strategies for harnessing anger’s positive potential. The dissertation is structured into three main sections that collectively advance the understanding of workplace anger. Chapter 1 establishes a foundational understanding by developing and validating a new State-Trait Anger Scale tailored for organizational research. This scale addresses limitations in existing measures by incorporating advanced psychometric techniques and a cross-cultural lens, revealing that workplace anger is influenced by both individual traits and situational factors, with significant variations across cultural contexts. A meta-analytic review follows, synthesizing the antecedents, concomitants, and consequences of workplace anger. The findings indicate that anger often arises from perceived negative workplace events and blame appraisals, which can primarily lead to destabilizing reactions. Chapter 2 advances the theoretical framework by introducing a novel perspective that links workplace anger to morality and perceived moral discrepancies. Through a series of empirical studies—including experience sampling, vignette experiments, and egocentric network analysis—this research demonstrates that anger frequently emerges from perceived transgressions of moral expectations in workplace interactions. The dissertation presents the Interaction Discrepancy Model, an innovative theoretical framework that integrates cognitive, social, and moral dimensions to better understand the dynamics of anger. This model elucidates how anger, a latent, morally and hedonically non-valanced construct, can motivate change-oriented behaviors aimed at rectifying moral discrepancies. Chapter 3 builds on these theoretical insights by developing practical strategies for constructive anger management in organizations. The research contrasts traditional mitigation-oriented strategies—such as suppression/rumination, avoidance, diffusion, and seeking social support—with constructive, approach-oriented strategies like confrontation and assertion. It shows that when anger is channeled appropriately through these constructive strategies, it can enhance both individual productivity and well-being. The empirical evidence further supports these findings, demonstrating that change-oriented strategies for managing anger are more effective in achieving work-related goals and maintaining well-being than mitigation-oriented approaches. This dissertation makes significant contributions to the fields of organizational psychology and organizational behavior by reconceptualizing workplace anger as a complex construct with both constructive and destructive potential. It introduces an empirically robust anger measurement tool that enhances research precision by addressing gaps in existing scales and incorporating advanced psychometric techniques. It also provides a meta-analytic overview of anger dynamics, offering a comprehensive synthesis of the antecedents, concomitants, and outcomes of anger in workplace settings. Furthermore, the dissertation offers theoretical advancements in the study of anger and emotions more broadly, integrating cognitive, social, and moral dimensions to provide a deeper understanding of emotional dynamics in organizational contexts. Additionally, it presents evidence-based strategies for practitioners to harness anger’s constructive potential, demonstrating how appropriate management of anger can lead to enhanced productivity and well-being. By challenging the conventional view of anger, this research opens new avenues for theory, practice, and future research, suggesting that anger, when understood and managed appropriately, can be a positive force in organizations.Publication Augmented reality marketing and consumer-brand relationships: how closeness drives brand love(2024) Rauschnabel, Philipp A.; Hüttl‐Maack, Verena; Ahuvia, Aaron C.; Schein, Katrin E.Marketers use augmented reality (AR) to place virtual brand-related information into a consumer's physical context. Grounded in the literature on AR, brand love, metaphor theory, and closeness as interpreted by the neural theory of language, the authors theorize that branded AR content can reduce the perceived physical, spatial distance between a consumer and a brand. This perceived closeness subsequently drives the closeness of the emotional relationship in the form of brand love. Two empirical studies validate this framework. Study 1 shows that using an AR app (vs. non-AR) increases the perceived physical closeness of the brand, which in turn drives brand love (i.e., relationship closeness). Study 2 replicates this finding in a pre-/post-use design. Here, high levels of local presence (i.e., the extent to which consumers perceive a brand as actually being present in their physical environment) drive perceived physical closeness, which leads to brand love. We also find that AR's power to generate brand love increases when the consumer is already familiar with the brand. We discuss managerial implications for AR marketing today and in a metaverse future in which AR content might be prevalent in consumers' everyday perceptions of the real world.Publication Comparing cars with apples? Identifying the appropriate benchmark countries for relative ecological pollution rankings and international learning(2021) Hartmann, Dominik; Ferraz, Diogo; Bezerra, Mayra; Pyka, Andreas; Pinheiro, Flávio L.One of the most difficult tasks that economies face is how to generate economic growth without causing environmental damage. Research in economic complexity has provided new methods to reveal structural constraints and opportunities for green economic diversification and sophistication, as well as the effects of economic complexity on environmental pollution indicators. However, no research so far has compared the ecological efficiency of countries with similar productive structures and levels of economic complexity, and used this information to identify the best learning partners. This matters, because there are substantial differences in the environmental damage caused by the same product in different countries, and green diversification needs to be complemented by substantial efficiency improvements of existing products. In this article, we use data on 774 different types of exports, CO2 emissions, and the ecological footprint of 99 countries to create first a relative ecological pollution ranking (REPR). Then, we use methods from network science to reveal a benchmark network of the best learning partners based on country pairs with a large extent of export similarity, yet significant differences in pollution values. This is important because it helps to reveal adequate benchmark countries for efficiency improvements and sustainable production, considering that countries may specialize in substantially different types of economic activities. Finally, the article i) illustrates large efficiency improvements within current global output levels, ii) helps to identify countries that can best learn from each other, and iii) improves the information base in international negotiations for the sake of a cleaner global production system.