Fakultät Wirtschafts- und Sozialwissenschaften

Permanent URI for this communityhttps://hohpublica.uni-hohenheim.de/handle/123456789/22

Die Fakultät vereint Forschung und moderne Lehre nach internationalen Standards. Das Hohenheimer Modell verzahnt dabei betriebs- und volkswirtschaftliche, sozial- und rechtswissenschaftliche Aspekte.

Homepage: https://wiso.uni-hohenheim.de/

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AI-enabled information systems: teaming up with intelligent agents in networked business
(2024) Hofmann, Peter; Urbach, Nils; Lanzl, Julia; Desouza, Kevin C.
Anger: The misunderstood and mismanaged workplace emotion
(2025) Umbra, Robin; Fasbender, Ulrike
Anger 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.
Artificial intelligence and corporate ideation systems
(2026) Lehmann, Selina L.; Dahlke, Johannes; Pianta, Valentina; Ebersberger, Bernd; Lehmann, Selina L.; University of Hohenheim, Stuttgart, Germany; Dahlke, Johannes; University of Twente, Enschede, The Netherlands; Pianta, Valentina; University of Hohenheim, Stuttgart, Germany; Ebersberger, Bernd; University of Hohenheim, Stuttgart, Germany
Many companies leverage the creativity of their employees to gather ideas for innovations. These ideas are collected, saved, and evaluated via platforms known as corporate ideation systems. Moderated ideation systems (ideation 2.0) emerged as a solution to address the limitations of traditional, rather passive ideation systems (ideation 1.0). In this study, we apply a qualitative mixed‐method approach (literature review, company case studies, expert interviews, and focus group workshops) to examine how artificial intelligence (AI) technology may relieve the remaining pains of stakeholders in collaborative, moderated ideation systems. This leads to a new framework of corporate ideation systems, termed AI‐based ideation systems (ideation 3.0). We identify five major pains suffered by stakeholders in today's moderated ideation systems: creativity pain, content formulation pain, search pain, analytical pain, and administration pain. We find that AI agents act as pain relievers when serving five supporting functions: inspirer, stylist, matchmaker, analyst, and organizer. The interconnected nature of pains means that employing AI agents in certain functions within corporate ideation systems can create positive externalities across the entire system. Practical insights into AI agent implementation and application in corporate ideation systems are provided by six mini‐case studies, which lead to the proposition of two organizational principles: the contextualization of AI usage and the generalization of AI implementation as the requirements for successful ideation 3.0.
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.
Berufliche Identität kaufmännischer Auszubildender. Ergebnisse einer Interviewstudie
(2020) Kirchknopf, Sebastian; Kögler, Kristina
Die Entwicklung individueller beruflicher Identitätskonstruktionen in der dualen Berufsausbildung ist eng mit dem Erwerb beruflicher Handlungskompetenz verknüpft. Dabei sind insbesondere Fragen nach dem individuellen Berufsverständnis, berufstypischen Tätigkeiten und ihren affektiven Identifikationspotenzialen sowie wahrgenommenen beruflichen Perspektiven von Bedeutung. Vor dem Hintergrund der Theorie der sozialen Identität untersucht der vorliegende Beitrag mittels einer Interviewstudie mit N = 51 kaufmännischen Auszubildenden, ob systematische berufsspezifische Merkmale beruflicher Identität bei kaufmännischen Auszubildenden unterschiedlicher Ausbildungsberufe zu beobachten sind und inwiefern hierbei homogene identitätsstiftende Elemente innerhalb der kaufmännischen Domäne oder aber spezifische Identifikationspotenziale sowie -hindernisse einzelner Ausbildungsberufe überwiegen. Die Ergebnisse deuten auf eine Sonderstellung von Einzelhandelskaufleuten im Sinne eines vergleichsweise wenig facettenreichen Berufsverständnisses und Defiziten bezüglich affektiv identifikationsrelevanter Tätigkeiten sowie beruflicher Perspektiven hin.
Between trust and ambivalence: how does trainee teachers’ perception of the relationship with their mentors explain how trainee teachers experience their work?
(2024) Maué, Elisabeth; Goller, Michael; Bonnes, Caroline; Kärner, Tobias
The study aims to identify profiles of trainee teachers in terms of their stress and work experiences and to uncover profile differences in regard to dropout intentions and perceived relationships between trainee teachers and their mentors. Based on data from 1,756 German trainee teachers, three distinct stress and work experience profiles could be identified. Trainee teachers with high levels of stress and negative work experiences exhibit higher dropout intentions and experience their relationship with their mentors as less transparent, fair and trusting, and more ambivalent compared to trainee teachers with low levels of stress and positive work experiences. The results underline the importance of the relationship between mentors and trainee teachers for the professional development of future teachers.
Blockchain technology application domains along the e-commerce value chain - a qualitative content analysis of news articles
(2024) Witt, Josepha; Schoop, Mareike; Gai, Keke; Zhu, Liehuang
Blockchain Technology (BCT) offers several possible applications in the field of electronic commerce (e-commerce), such as decentralised marketplaces or payments in cryptocurrencies. Even though these applications of BCT have already been explored in the academic literature, a comprehensive collection along the whole e-commerce value chain is still missing. Furthermore, the existing comprehensive reviews are based on the academic literature whilst the evolution and further development of BCT is highly driven by practitioners. Therefore, we aim to understand how and why BCT is used in e-commerce based on a qualitative content analysis of news articles, i.e., we apply scientific methods to content which reports the latest developments in the field. As a result, we describe the multiple application domains of BCT along the e-commerce value chain. Subsequently, we discuss the main underlying principles of BCT usage across all the value chain steps.
Career adaptability and vocational identity of commercial apprentices in the German dual system
(2020) Kirchknopf, Sebastian
The construct of career adaptability has recently gained importance in research on vocational development and has led to a variety of theoretical and empirical approaches. Alongside with vocational identity it has been theorised as the crucial meta-competency of modern career construction. Due to its roots in adolescent career development, career adaptability is not limited to the vocational adjustments of working adults, but is also highly relevant for the pre-occupational orientation processes of adolescents initially developing a vocational identity. Despite the recent increase in empirical research on career adaptability, the field of vocational education has been largely neglected so far. Therefore, a quantitative survey among nearly N = 400 commercial apprentices within the German dual system of VET has been conducted. This study focuses on the replication of the Career Adapt-Abilities Scale (CAAS) among commercial apprentices within the German dual system, and its discrimination against alternative operationalisations of career adaptability. Furthermore, the relationship between career adaptability and vocational identity (operationalised as occupational and organisational identification) was explored. Results showed that the four-dimensional structure of career adaptability covered by the CAAS could be largely replicated in the dual system. In addition, it was found that the CAAS can in part be separated from alternative operationalisations. Finally, the results confirmed career adaptability positively predicts both foci of identification in a cognitive and affective manner. This indicates that career adaptability can be seen as a beneficial factor for vocational education and training as it fosters the vocational ties of apprentices in terms of their identity.
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.
The double-edged dynamics of social comparisons: micro-level drivers of employees’ knowledge behaviors
(2025) Rinker, Laura; Fasbender, Ulrike
Amidst worldwide developments such as globalization, workforce aging, and the accelerating pace of advancements, organizations depend on effective knowledge flows to maintain competitive and enable innovation. Because interpersonal knowledge exchange is central to organizational knowledge management, organizations must gain an understanding of what drives individual knowledge behaviors. This cumulative dissertation offers a timely investigation of social comparisons as critical socio-cognitive underpinnings of such knowledge behaviors. The underlying research seeks to deepen the understanding of the micro-level drivers of knowledge behaviors by tracing them back to employees’ social comparison experiences. The first manuscript combines the identification-contrast model of social comparisons with informal workplace learning theorizing to examine the social-cognitive roots of workplace learning. Specifically, it considers how employees’ emotionally charged (un)favorability perceptions of their social comparisons guide their daily engagement in narrow and broad informal learning behaviors through reflection processes focusing on successes or failures. The hypothesized model is tested using a ten-day experience sampling study (NLevel 2 = 175 employees, NLevel 1 = 1,256 employee-day observations). Results demonstrate that the different types of reflection translate both favorable and unfavorable social comparison experiences into learning-oriented knowledge behaviors. The findings additionally stress the moderating influence of organizational support. The second manuscript joins social comparison and stress appraisal theories to investigate the ambivalent potential of upward comparisons as work stressors. Drawing from the challenge-hindrance stress framework, it probes a dual pathway model connecting upward social comparisons with different knowledge behaviors through an approach pathway (via challenge appraisal) and an avoidance pathway (via hindrance appraisal). The hypotheses are tested based on two experimental studies with employees (NStudy 1 = 206, NStudy 2 = 414). Finding no support for the approach pathway, the research identifies hindrance appraisals as a cognitive mechanism to explain how upward comparisons harm knowledge flows. However, these adverse effects are mitigated by an between the focal employee and the comparison target. The third manuscript integrates social comparison frameworks and affective events theory to examines the daily emotional complexities of social comparisons. It seeks to clarify how the multiple facets of daily social comparisons can lead to both facilitative and harmful behavioral reactions, probing the mediating effect of discrete social comparison-induced emotions. The findings from a ten-day experience sampling study (NLevel 2 = 155 employees, NLevel 1 = 960 employee-day observations) demonstrate that daily social comparisons are linked to knowledge behaviors via inspiration, envy, and sympathy. In addition, the results reveal the complementary effects of the two cardinal social comparison axes (i.e., horizontal and vertical). In conclusion, this dissertation establishes social comparisons as a multi-faceted socio-cognitive antecedent of employees’ knowledge behaviors, providing novel insights into cognitive and emotional underpinnings and multi-level boundary conditions. Offering a more holistic perspective of social comparisons and their impact on knowledge behaviors, this work opens avenues for scholars to develop a deeper understanding of the socio-cognitive roots of organizational behavior. Moreover, the findings equip practitioners with actionable insights to utilize social comparisons as micro-level drivers, instead of barriers, of knowledge flows.
Emotions and entrepreneurial finance: analysis of venture capitalists’ and business angels’ digital footprints on Twitter
(2024) Kaiser, Manuel; Kuckertz, Andreas
Emotions are a central concept in previous entrepreneurship research, but this is mainly related to entrepreneurs and their entrepreneurial journey. However, venture capitalists (VCs) and business angels (BAs), two critical investors in the entrepreneurial finance literature, are essential actors in the entrepreneurial process. Still, little is known about investor emotions in this context. Therefore, in this study, we ask how venture capitalists differ from business angels in terms of their expressed emotions. To this end, we use an increasingly familiar research approach by examining the digital footprints of these investors on Twitter. For this purpose, we identify 822 investors from Crunchbase and analyze their 994,969 Tweets with Linguistic Inquiry and Word Count (LIWC) as a text analysis tool. Our results show that venture capitalists display more positive emotions on Twitter than angel investors, meaning that we find an association between VCs and emotional tone. Furthermore, in our post-hoc analysis, we explore further explanations for the differences between VC and BA. In doing so, we show differences in their expressed cognitive processes as well as in their communicated drivers. In both concepts, we find positive associations with the investor type of VC. To conclude this paper, we develop implications for practice and further research based on the results.
Endogenous task allocation and intrafirm bargaining: a note
(2025) Marczak, Martyna; Beissinger, Thomas
We develop a model that incorporates task-based production into a matching model with intrafirm wage bargaining. Unlike in existing task-based models, the representative firm derives the optimal task allocation as a function of capital and labor, rather than relative factor prices. Embedding this mechanism in a model with strategic employment choice, we show how the properties of task-level technology affect the extent of overhiring.
Generative KI in der Finanzbranche: strategische, technologische und organisationale Implementierung am Beispiel der DZ BANK AG
(2025) Breiter, Katharina; Lohmann, Tobias; Stahl, Bastian; Zilmans, Carolin; Reischl-Lenz, Birgit; Gimpel, Henner
Generative Künstliche Intelligenz (KI) ist ein entscheidender Wertschöpfungsfaktor in der Finanzbranche, da sie bestehende Prozesse optimiert und neue Geschäftsmodelle ermöglicht. Während zahlreiche Forschungsbeiträge technische, soziale und ethische Aspekte generativer KI untersuchen, adressiert dieser Beitrag insbesondere die strategischen, technologischen und organisationalen Herausforderungen bei der Implementierung generativer KI. Anhand einer Fallstudie bei der DZ BANK AG wird untersucht, wie ein hybrider Plattformansatz eine strategisch fundierte Einführung generativer KI ermöglicht. Technologisch stellt die zentrale IT standardisierte und wiederverwendbare Komponenten bereit, während die Fachbereiche eigenständig KI-basierte Lösungen entwickeln und anpassen. Organisational erfordert dies eine enge Abstimmung zwischen zentraler Steuerung und dezentraler Nutzung, um sowohl Skalierbarkeit als auch Flexibilität zu gewährleisten. Ein iterativer Rollout in „Wellen“ kombiniert technologische Absicherung mit einer stufenweisen Integration in bestehende Geschäftsprozesse. Die Plattform bietet nicht nur eine kontrollierte und sichere Infrastruktur, sondern adressiert auch Herausforderungen wie regulatorische Anforderungen, Datenqualität und die notwendige Qualifikation der MitarbeiterInnen. Die Ergebnisse zeigen, dass der Plattformansatz technologische Komplexität reduziert und gleichzeitig organisationale Agilität fördert. Finanzunternehmen profitieren von kürzeren Entwicklungszyklen, einer effizienteren Prozessgestaltung und einer breiteren Einbindung der MitarbeiterInnen. Abschließend werden praxisorientierte Handlungsempfehlungen für eine erfolgreiche Implementierung generativer KI in der Finanzbranche abgeleitet.
Guidelines for using financial incentives in software-engineering experimentation
(2024) Krüger, Jacob; Çalıklı, Gül; Bershadskyy, Dmitri; Otto, Siegmar; Zabel, Sarah; Heyer, Robert
Context: Empirical studies with human participants (e.g., controlled experiments) are established methods in Software Engineering (SE) research to understand developers’ activities or the pros and cons of a technique, tool, or practice. Various guidelines and recommendations on designing and conducting different types of empirical studies in SE exist. However, the use of financial incentives (i.e., paying participants to compensate for their effort and improve the validity of a study) is rarely mentioned Objective: In this article, we analyze and discuss the use of financial incentives for human-oriented SE experimentation to derive corresponding guidelines and recommendations for researchers. Specifically, we propose how to extend the current state-of-the-art and provide a better understanding of when and how to incentivize. Method: We captured the state-of-the-art in SE by performing a Systematic Literature Review (SLR) involving 105 publications from six conferences and five journals published in 2020 and 2021. Then, we conducted an interdisciplinary analysis based on guidelines from experimental economics and behavioral psychology, two disciplines that research and use financial incentives. Results: Our results show that financial incentives are sparsely used in SE experimentation, mostly as completion fees. Especially performance-based and task-related financial incentives (i.e., payoff functions) are not used, even though we identified studies for which the validity may benefit from tailored payoff functions. To tackle this issue, we contribute an overview of how experiments in SE may benefit from financial incentivisation, a guideline for deciding on their use, and 11 recommendations on how to design them. Conclusions: We hope that our contributions get incorporated into standards (e.g., the ACM SIGSOFT Empirical Standards), helping researchers understand whether the use of financial incentives is useful for their experiments and how to define a suitable incentivisation strategy.
Leveraging digital technologies in logistics 4.0: insights on affordances from intralogistics processes
(2024) Albrecht, Tobias; Baier, Marie-Sophie; Gimpel, Henner; Meierhöfer, Simon; Röglinger, Maximilian; Schlüchtermann, Jörg; Will, Lisanne
Emerging digital technologies are transforming logistics processes on a large scale. Despite a growing body of knowledge on individual use cases ranging from collaborative robots to platform-based planning systems in the frontline industrial development of Logistics 4.0, organizations lack a systematic understanding of the opportunities digital technologies afford for logistics processes. To foster such understanding, this study takes an intra-organizational perspective as a central starting point for digitalization initiatives toward Logistics 4.0. It synthesizes current academic research and industrial insights from a systematic literature review and an expert interview study through an affordance lens. The result is a catalog and conceptual framework of ten digital technology affordances in intralogistics (DTAILs) and 46 practical manifestations. Thereby, this study contributes to understanding and leveraging the opportunities digital technologies afford in a leading-edge information systems application domain. It serves as a foundation for further theorizing on Logistics 4.0 and for structuring strategic discussions among organizational stakeholders.
Opportunities and challenges of blockchain technology for negotiation support systems
(2025) Witt, Josepha; Schoop, Mareike; Knaus, Konstantin
Blockchain Technology (BCT) is the backbone of the next generation of the internet and thus affects how electronic business (e-business) is conducted. While the usage of BCT for the initiation and transaction phases in e-business has been studied, the negotiation aspect has not been considered in a comprehensive manner. The current literature on the utilisation of BCT in electronic negotiations (e-negotiations) primarily focuses on autonomous agents and lacks research on the support of e-negotiations conducted by human negotiators using negotiation support systems (NSSs). This results in the issue that the consequences of a transition to Web3.0-based NSSs are unclear, while other areas of e-business already apply Web3.0 technologies. We address this lack of knowledge following a design-oriented approach in three steps exploring the opportunities and challenges of using BCT for e-negotiations via NSSs. Firstly, the well-established negotiation support system Negoisst is extended by BCT features resulting in the development of a Web3.0-based NSS called NegoisstBCT to demonstrate the technical feasibility of this approach. Secondly, the potential opportunities and challenges of a Blockchain-based NSS are analysed referring to its technical architecture. Thirdly, a generalised view of the application of Web3.0-based NSSs in different settings is taken, discussing future research on BCT in e-negotiations. The present research thus fosters the application of Blockchain-based NSSs in e-negotiations and of NSSs in BCT application areas.
Predictor preselection for mixed‐frequency dynamic factor models: a simulation study with an empirical application to GDP nowcasting
(2025) Franjic, Domenic; Schweikert, Karsten
We investigate the performance of dynamic factor model nowcasting with preselected predictors in a mixed‐frequency setting. The predictors are selected via the elastic net as it is common in the targeted predictor literature. A simulation study and an application to empirical data are used to evaluate different strategies for variable selection, the influence of tuning parameters, and to determine the optimal way to handle mixed‐frequency data. We propose a novel cross‐validation approach that connects the preselection and nowcasting step. In general, we find that preselecting provides more accurate nowcasts compared with the benchmark dynamic factor model using all variables. Our newly proposed cross‐validation method outperforms the other specifications in most cases.
The role of risk management orientation and the planning function of budgeting in enhancing organizational resilience and its effect on competitive advantages during times of crises
(2024) Eichholz, Julia; Hoffmann, Nicole; Schwering, Anja
Global economic crises can have a significant impact on businesses across different sectors, often leading to difficulties or even insolvency. In such a situation, organizational resilience is often considered a means to ensure the competitive advantage. Although the concept has gained popularity in recent years, empirical research on the determinants and effects of organizational resilience remains scarce. Therefore, we first examine the potential management accounting determinants of organizational resilience. Second, we investigate the effect of organizational resilience on competitive advantage. A cross-sectional survey conducted in January and February 2021 resulted in 127 observations of medium- and large-sized German companies. We find that a risk management orientation and the importance of the planning function of budgeting are positively associated with both the adaptive capability factor and the planning factor of organizational resilience. Furthermore, we find that adaptive capability increases a company’s competitive advantage in both business-as-usual situations and in times of crisis. Our findings inform practitioners about how key management accounting concepts, such as risk management and corporate planning, can increase organizational resilience and, consequently, the positive outcomes of organizational resilience.
Seeds in rocky soil: the interactive role of entrepreneurial legacy and bridging in family firms’ organizational ambidexterity
(2023) Wilmes, Rolf; Brändle, Leif; Kuckertz, Andreas
Existing research on family firms emphasizes the importance of entrepreneurship across generations but leaves the role of entrepreneurial transmissions between predecessors and successors relatively unexplore. Building on the concept of entrepreneurial legacy, we ask how interactions of entrepreneurial mindsets and resources influence organizational ambidexterity in family firms. The study’s central argument (and metaphor) is that organizational ambidexterity thrives in multigenerational family firms if successors’ awareness of the family’s entrepreneurial legacy (the right seed) interacts with predecessors’ provision of entrepreneurial resources during succession (the fertile soil), also known as entrepreneurial bridging. We analyze a unique sample of successors from 296 multigenerational family firms in the agricultural sector. Our results point to the relevance of entrepreneurial resources in predecessor-successor collaborations to unlock the family firm’s ability to balance entrepreneurial exploration and exploitation.
Workplace stressors and burnout among healthcare professionals: Insights from the pandemic and implications for future public health crises
(2025) Daneshvar, Elahe; Otterbach, Steffen
This study evaluates the prevalence of burnout among healthcare professionals (HCPs) during the COVID-19 pandemic in Iran and examines its association with key occupational stressors (workload, job control, and leadership communication). Furthermore, it proposes relevant organisational interventions for future pandemic preparedness. A cross-sectional survey of HCPs (N = 723) was conducted in four hospitals in Tehran during the third peak of the COVID-19 pandemic in Iran, including the Copenhagen Burnout Inventory and items on perceived workload, job control, and leadership communication. The study found that 67.41% of HCPs reported substantial symptoms of burnout (moderate-to-high burnout, i.e. CBI ≥ 50), with a mean score of 59.6 points. The prevalence of burnout (CBI ≥ 50) was prominent across all three dimensions—personal, work, and patient-related—at 72.86%, 69.87%, and 65.37%, respectively. The analysis demonstrated significant associations between burnout and the three foundational workplace stressors. Multivariate linear regression analysis showed that frontline, female, and married HCPs reported the highest levels of burnout. This study provides practical implications for healthcare organisations and policy makers, highlighting the need for targeted organizational interventions that could mitigate burnout during ongoing and future health crises.

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