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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Advancing content synthesis in macro-task crowdsourcing facilitation leveraging natural language processing
(2024) Gimpel, Henner; Laubacher, Robert; Meindl, Oliver; Wöhl, Moritz; Dombetzki, Luca
Macro-task crowdsourcing presents a promising approach to address wicked problems like climate change by leveraging the collective efforts of a diverse crowd. Such macro-task crowdsourcing requires facilitation. However, in the facilitation process, traditionally aggregating and synthesizing text contributions from the crowd is labor-intensive, demanding expertise and time from facilitators. Recent advancements in large language models (LLMs) have demonstrated human-level performance in natural language processing. This paper proposes an abstract design for an information system, developed through four iterations of a prototype, to support the synthesis process of contributions using LLM-based natural language processing. The prototype demonstrated promising results, enhancing efficiency and effectiveness in synthesis activities for macro-task crowdsourcing facilitation. By streamlining the synthesis process, the proposed system significantly reduces the effort to synthesize content, allowing for stronger integration of synthesized content into the discussions to reach consensus, ideally leading to more meaningful outcomes.
AI-enabled information systems: teaming up with intelligent agents in networked business
(2024) Hofmann, Peter; Urbach, Nils; Lanzl, Julia; Desouza, Kevin C.
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.
Aspects of visual avatar appearance: self-representation, display type, and uncanny valley
(2021) Hepperle, Daniel; Purps, Christian Felix; Deuchler, Jonas; Wölfel, Matthias
The visual representation of human-like entities in virtual worlds is becoming a very important aspect as virtual reality becomes more and more “social”. The visual representation of a character’s resemblance to a real person and the emotional response to it, as well as the expectations raised, have been a topic of discussion for several decades and have been debated by scientists from different disciplines. But as with any new technology, the findings may need to be reevaluated and adapted to new modalities. In this context, we make two contributions which may have implications for how avatars should be represented in social virtual reality applications. First, we determine how default and customized characters of current social virtual reality platforms appear in terms of human likeness, eeriness, and likability, and whether there is a clear resemblance to a given person. It can be concluded that the investigated platforms vary strongly in their representation of avatars. Common to all is that a clear resemblance does not exist. Second, we show that the uncanny valley effect is also present in head-mounted displays, but - compared to 2D monitors - even more pronounced.
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.
Autonomous weapons: considering the rights and interests of soldiers
(2025) Haiden, Michael; Richter, Florian
The development of autonomous weapons systems (AWSs), which would make decisions on the battlefield without direct input from humans, has the potential to dramatically change the nature of war. Due to the revolutionary potential of these technologies, it is essential to discuss their moral implications. While the academic literature often highlights their morally problematic nature, with some proposing outright banning them, this paper highlights an important benefit of AWSs: protecting the lives, as well as the mental and physical health of soldiers. If militaries can avoid sending humans into dangerous situations or relieve drone operators from tasks that lead to lifelong trauma, this obviously appears morally desirable – especially in a world where many soldiers are still drafted against their will. Nonetheless, there are many arguments against AWSs. However, we show that although AWSs are potentially dangerous, criticisms apply equally to human soldiers and weapons steered by them. The combination of both claims makes a strong case against a ban on AWSs where it is possible. Instead, researchers should focus on mitigating their drawbacks and refining their benefits.
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.
Circular economy, bioeconomy, and sustainable development goals: a systematic literature review
(2023) Ferraz, Diogo; Pyka, Andreas
The circular economy (CE) and bioeconomy (BE) are recognized as potential solutions for achieving sustainable development, yet little research has examined their potential contribution to the United Nations’ Sustainable Development Goals (SDGs). In this study, we conducted a bibliometric analysis of 649 articles published between 2007 and 2022, as well as a systematic literature review of 81 articles, to assess the extent to which the CE and BE communities have addressed the SDGs. Our analysis identified 10 research gaps including the limited number of empirical quantitative papers, particularly in the context of BE, and the underrepresentation of developing regions such as Latin America and Africa in the literature. Our main finding reveals that the CE community primarily focuses on SDG 12, Responsible Consumption and Production, followed by SDG 9, Industry, Innovation, and Infrastructure; SDG 7, Affordable and Clean Energy; and SDG 6, Clean Water and Sanitation. The BE community, on the other hand, focuses primarily on SDG 7, followed by SDG 9 and SDG 12. However, both communities lack attention to social SDGs such as quality education, poverty, and gender equality. We propose that a combination of CE and BE, known as circular bioeconomy, could help countries achieve all SDGs. Further research is needed to develop and implement circular bioeconomy policies that address these gaps and promote sustainable development. In this sense, our study identified an important research gap that needs more attention in the future.
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.
Designing knowledge-driven digitalization: novel recommendations for digitally supported multi-professional collaboration
(2025) Meindl, Oliver; Peuten, Sarah; Striebel, Xena; Gimpel, Henner; Ostgathe, Christoph; Schneider, Werner; Steigleder, Tobias
Introduction: Palliative care is based on the principle of multi-professional collaboration, which integrates diverse competencies and perspectives to provide holistic care and support for patients and their relatives. In palliative care teams, there is an intensive exchange of information and knowledge; however, current documentation and hospital information systems often fall short of meeting the specific demands for effective collaboration and dynamic communication in this field. Methods: This action design research study is based on the three-and-a-half-year interdisciplinary research project PALLADiUM and aims to demonstrate the added value of knowledge-driven digitalization. Results and discussion: Our study provides novel recommendations for digitally supported multi-professional collaboration tailored to the specific requirements of palliative care and similar fields. Based on the analytical distinction between ‘information’ and ‘knowledge,’ we present design recommendations for co-creative, knowledge-driven development processes and multi-professional collaboration support systems. We further illustrate how these recommendations have been implemented into a functional technical demonstrator and outline how our results could impact future digitalization initiatives in healthcare.
Does a smarter ChatGPT become more utilitarian?
(2026) Pfeffer, Jürgen; Krügel, Sebastian; Uhl, Matthias; Pfeffer, Jürgen; Technical University of Munich, TUM School of Social Sciences and Technology, Munich, Germany; Krügel, Sebastian; Faculty of Business, Economics and Social Sciences, University of Hohenheim, Stuttgart, Germany; Uhl, Matthias; Faculty of Business, Economics and Social Sciences, University of Hohenheim, Stuttgart, Germany
Hundreds of millions of users interact with large language models (LLMs) regularly to get advice on all aspects of life. The increase in LLMs’ logical capabilities might be accompanied by unintended side effects with ethical implications. Focusing on recent model developments of ChatGPT, we can show clear evidence for a systematic shift in ethical stances that accompanied a leap in the models’ logical capabilities. Specifically, as ChatGPT’s capacity grows, it tends to give decisively more utilitarian answers to the two most famous dilemmas in ethics. Given the documented impact that LLMs have on users, we call for a research focus on the prevalence and dominance of ethical theories in LLMs as well as their potential shift over time. Moreover, our findings highlight the need for continuous monitoring and transparent public reporting of LLMs’ moral reasoning to ensure their informed and responsible use.
Educational ideals affect AI acceptance in learning environments
(2026) Richter, Florian; Uhl, Matthias; Richter, Florian; Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany; Uhl, Matthias; University of Hohenheim, Stuttgart, Germany
AI is increasingly used in learning environments to monitor, test, and educate students and allow them to take more individualized learning paths. The success of AI in education will, however, require the acceptance of this technology by university management, faculty, and students. This acceptance will depend on the added value that stakeholders ascribe to this technology. In two empirical studies, we investigate the hitherto neglected question of which impact educational ideals have on the acceptance of AI in learning environments. We find clear evidence for our study participants’ conviction that humanistic educational ideals are considered less suitable for implementing AI in education than compentence-based ideals. This implies that research on the influence of teaching and learning philosophies could be an enlightening component of a comprehensive research program on human-AI interaction in educational contexts.
Embracing digital health: German otolaryngology patients’ usage and prospects of digital information and communication technologies for cross-sectoral care
(2024) Holderried, Martin; Hoeper, Ansgar; Stauss, Leonie; Holderried, Friederike; Herrmann-Werner, Anne; Kestler, Hans A.; Ernst, Christian; Baerhold, Friederike; Becker, Sven
Objective: The usage of digital information and communication technologies in European healthcare is growing. Unlike numerous technological possibilities, the present use of these technologies and perspectives towards them in relation to otolaryngology care have so far been of less interest. This study evaluates the utilisation of and attitudes towards digital information and communication technologies in cross-sectoral otolaryngology care among German patients. Methods: A structured interview-based study was conducted at the outpatient facility of a tertiary hospital in Germany. It focused on chief complaints, current use of digital technologies, estimated benefits of increased digital technology use in otolaryngology care, and sociodemographic data. The detailed statistical analysis employed Chi-squared tests and multivariate logistic regression. Results: A total of 208 otolaryngology patients completed the interview. Digital communication technologies exhibited a high penetration rate (91.8%) and were regularly used in daily life (78.7%) and for health reasons (73.3%). Younger age ( p ≤ 0.003) and higher education levels ( p ≤ 0.008) were significantly correlated with the increased digital communication technology use. The overall potential of eHealth technologies was rated significantly higher by younger patients ( p ≤ 0.001). The patients’ chief complaints showed no significant influence on the current and potential use of these technologies for cross-sectoral otolaryngology care. Conclusion: Regardless of their chief complaints, German otolaryngology patients regularly use digital information and communication technologies for health reasons and express interest in their further use for cross-sectoral care. To enhance digital patient communication in otolaryngology, attention should be given to treatment quality, usability, data security and availability and financial remuneration for service providers.
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.
A generalized representation of Faà Di Bruno'S formula using multivariate and matrix‐valued Bell polynomials
(2025) Evers, Michael P.; Kontny, Markus
We provide a generalization of Faà di Bruno’s formula to represent the 𝑛-th total derivative of the multivariate and vector-valued composite 𝑓 ∘𝑔. To this end, we make use of properties of the Kronecker product and the 𝑛-th derivative of the left-composite 𝑓 , which allow the use of a multivariate and matrix-valued form of partial Bell polynomials to represent the generalized Faà di Bruno’s formula. We further show that standard recurrence relations that hold for the univariate partial Bell polynomial also hold for the multivariate partial Bell polynomial under a simple transformation. We apply this generalization of Faà di Bruno’s formula to the computation of multivariate moments of the normal distribution.
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.
Idea evaluation for solutions to specialized problems: leveraging the potential of crowds and Large Language Models
(2025) Gimpel, Henner; Laubacher, Robert; Probost, Fabian; Schäfer, Ricarda; Schoch, Manfred
Complex problems such as climate change pose severe challenges to societies worldwide. To overcome these challenges, digital innovation contests have emerged as a promising tool for idea generation. However, assessing idea quality in innovation contests is becoming increasingly problematic in domains where specialized knowledge is needed. Traditionally, expert juries are responsible for idea evaluation in such contests. However, experts are a substantial bottleneck as they are often scarce and expensive. To assess whether expert juries could be replaced, we consider two approaches. We leverage crowdsourcing and a Large Language Model (LLM) to evaluate ideas, two approaches that are similar in terms of the aggregation of collective knowledge and could therefore be close to expert knowledge. We compare expert jury evaluations from innovation contests on climate change with crowdsourced and LLM’s evaluations and assess performance differences. Results indicate that crowds and LLMs have the ability to evaluate ideas in the complex problem domain while contest specialization—the degree to which a contest relates to a knowledge-intensive domain rather than a broad field of interest—is an inhibitor of crowd evaluation performance but does not influence the evaluation performance of LLMs. Our contribution lies with demonstrating that crowds and LLMs (as opposed to traditional expert juries) are suitable for idea evaluation and allows innovation contest operators to integrate the knowledge of crowds and LLMs to reduce the resource bottleneck of expert juries.
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.

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