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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Now showing 1 - 13 of 13

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.
Creativity reputation allocation in open and distributed innovation
(2024) Zaggl, Michael A.; Müller, Matthias
Much of today's creative work crosses organizational borders. This limits the possibilities for directly compensating creative workers. Thus, other forms of reward, such as reputation-building, are necessary. This study builds on the concept of creative reputation (reputation for creativity) and signaling theory. It asks how reputation should be assigned to creative workers to reflect their creative abilities most accurately. We illustrate reputation allocation using the example of the academic system and develop a simple computational model to compare how different reputation allocation mechanisms—varying in how they utilize observable information about creative workers' outcomes—produce reputations for individual creative workers. The insights derived from the model contribute to our understanding of open and distributed innovation systems. They also challenge current practices in evaluating and recruiting creative workers and motivate future research on creative reputation and reputation allocation.
Digital facilitation of group work to gain predictable performance
(2024) Gimpel, Henner; Lahmer, Stefanie; Wöhl, Moritz; Graf-Drasch, Valerie; Gimpel, Henner; University of Hohenheim, Schloß Hohenheim 1, Stuttgart, Germany; Lahmer, Stefanie; Branch Business and Information Systems Engineering, Fraunhofer Institute for Applied Information Technology FIT, Augsburg, Germany; Wöhl, Moritz; Branch Business and Information Systems Engineering, Fraunhofer Institute for Applied Information Technology FIT, Augsburg, Germany; Graf-Drasch, Valerie; University of Hohenheim, Schloß Hohenheim 1, Stuttgart, Germany
Group work is a commonly used method of working, and the performance of a group can vary depending on the type and structure of the task at hand. Research suggests that groups can exhibit "collective intelligence"—the ability to perform well across tasks—under certain conditions, making group performance somewhat predictable. However, predictability of task performance becomes difficult when a task relies heavily on coordination among group members or is ill-defined. To address this issue, we propose a technical solution in the form of a chatbot providing advice to facilitate group work for more predictable performance. Specifically, we target well-defined, high-coordination tasks. Through experiments with 64 virtual groups performing various tasks and communicating via text-based chat, we found a relationship between the average intelligence of group members and their group performance in such tasks, making performance more predictable. The practical implications of this research are significant, as the assembly of consistently performing groups is an important organizational activity.
Dynamic capabilities for the twin transformation climb: a capability maturity model
(2024) Breiter, Katharina; Crome, Carlotta; Oberländer, Anna Maria; Schnaak, Feline; Breiter, Katharina; FIM Research Center for Information Management, Alter Postweg 101, 81659, Augsburg, Germany; Crome, Carlotta; FIM Research Center for Information Management, Alter Postweg 101, 81659, Augsburg, Germany; Oberländer, Anna Maria; FIM Research Center for Information Management, Alter Postweg 101, 81659, Augsburg, Germany; Schnaak, Feline; FIM Research Center for Information Management, Alter Postweg 101, 81659, Augsburg, Germany
Digital transformation and sustainability transformation are at the top of organizations’ agendas to remain competitive. While guidance on both transformations exists separately, even more research on integrating digital and sustainability transformation, namely twin transformation, is required. Specifically, deeper knowledge about relevant twin transformation capabilities and progress is needed for effective implementation. To enhance the understanding and provide corresponding guidance, we developed a twin transformation capability maturity model focusing on dynamic capabilities required to realize twin transformation based on a structured literature review and interviews with 13 experts. Further, we demonstrated its use with a technology service provider. Our contribution is twofold: First, accounting for organizations’ twin transformation starting points in terms of their digitalization and sustainability experience and expertise, we reveal three pathways to becoming a twin transformer. Second, our work provides an overview of 45 relevant twin transformation capabilities structured along six capability dimensions and four maturity stages. Our work also provides relevant practical implications supporting organizations in assessing their twin transformation maturity building the foundation for targeted capability development.
The economics of capital allocation in firms: Evidence from internal capital markets
(2024) Hoang, Daniel; Gatzer, Sebastian; Ruckes, Martin
We analyze a unique chief financial officer (CFO) survey data set to examine capital allocation in firms. Top management is aware of agency and information problems at the divisional level and organizes the budgeting process to counteract managerial oppor- tunism, employing systems of interconnected measures, including layers of approval, divi- sional budgets, reporting requirements, and compensation schemes. When making funding decisions, top management relies heavily on top-level nonfinancial information, such as the assessment of divisional managers’ abilities. However, substantial parts of the capital bud- get do not require top management approval as firms trade off the benefits and costs of decentralization, thereby deviating from the traditional paradigm of decentralized project initiation but centralized project approval. Even firms with active internal capital markets tilt capital allocation toward relatively even distributions, reflecting the use of capital alloca- tion as a credible communication device. We also find that within-firm agency problems may result in capital rationing, that is, divisions’ restricted access to internal capital. CFOs also believe that integrating multiple businesses into an internal capital market results in tangible financial benefits, predominantly lower costs of capital and higher debt capacities. Thus, our findings also support coinsurance arguments suggesting that internal capital markets may improve access to external financing.
Der Einfluss von digitalen Technologien auf Wissensarbeit: Kompetenzen im Wandel
(2024) Lanzl, Julia; Schnaak, Feline; Schöttl, Frederik; Gimpel, Henner; Lanzl, Julia; Institutsteil Wirtschaftsinformatik, Fraunhofer FIT, Alter Postweg 101, 86159, Augsburg, Deutschland; Schnaak, Feline; Institutsteil Wirtschaftsinformatik, Fraunhofer FIT, Alter Postweg 101, 86159, Augsburg, Deutschland; Schöttl, Frederik; Institutsteil Wirtschaftsinformatik, Fraunhofer FIT, Alter Postweg 101, 86159, Augsburg, Deutschland; Gimpel, Henner; Institutsteil Wirtschaftsinformatik, Fraunhofer FIT, Alter Postweg 101, 86159, Augsburg, Deutschland
Die voranschreitende Digitalisierung und der technologische Fortschritt haben in der Arbeitswelt Auswirkungen auf die Ausbildung von Fachkräften und insbesondere auf die geforderten Kompetenzen für einen langfristigen Unternehmenserfolg. Neben klassischen Basiskompetenzen, wie beispielsweise kritischem Denken, treten Digitalkompetenzen wie beispielswiese die Verarbeitung von Informationen zunehmend in den Vordergrund. Deshalb bestehen die Fragen: Was sind durch die fortschreitende Digitalisierung relevante Digitalkompetenzen in der Wissensarbeit? Wie präsentieren und vermitteln Unternehmen und Hochschulen diese Digitalkompetenzen und welche Handlungsempfehlungen lassen sich diesbezüglich ableiten? Durch eine Literaturrecherche in praxisnaher und wissenschaftlicher Literatur wurden Digitalkompetenzen gesammelt, definiert und klassifiziert. Zwölf wichtige Digitalkompetenzen werden herausgestellt und es wird beobachtet, ob und wie sie in der Praxis bereits in betriebswirtschaftlichen Studiengängen, unternehmensinternen sowie -externen Off-the-job-Weiterbildungen und im Recruiting Beachtung finden. Dies ermöglicht das Ableiten von Handlungsempfehlungen für Hochschulen und Unternehmen, sowie deren Zusammenarbeit. Zusätzlich verhelfen die Ergebnisse Weiterbildungen entsprechend an die neuen Gegebenheiten anzupassen und die Wichtigkeit der Digitalkompetenzen für den Berufseinstieg und die berufliche Laufbahn zu verdeutlichen.
Flooding the landscape of knowledge: perspectives on transitions to artificial intelligence in industry
(2024) Dahlke, Johannes; Ebersberger, Bernd
The progress in artificial intelligence (AI) technology is advancing at an unprecedented pace and its applications increasingly impact economic actors and society at large. As the world enters the fourth industrial revolution, the integration of AI technology into industries promises to become a crucial determinant of economic performance and qualitative change within the economy. It also requires to discuss the roles of humans and machines in the process of value creation. Against this backdrop, this doctoral dissertation investigates the current state and dynamics of AI transitions, with a pronounced focus on industrial regimes. It comprises three empirical studies, each depicting different levels of industrial transitions towards AI—moving from a consideration of micro-level technological niches, to meso-level industrial structures, to macro-level landscape trends. This dissertation contributes to our understanding of socio-technical transitions towards AI by showing that sustainable and just transitions towards AI-based industrial regimes require not only consideration of the technological characteristics, but also the sociomaterial context governing its integration, as well as reversely being altered by the diffusion of the technology itself. The work provides further insights for policymakers, practitioners, and researchers as it emphasizes the need for network-based analyses of complex diffusion dynamics within industries, and the need to integrate systemic socio-economic perspectives into extant concepts of responsible AI.
The impact of information load on predicting success in electronic negotiations
(2025) Kaya, Muhammed-Fatih; Schoop, Mareike; Kaya, Muhammed-Fatih; Intelligent Information Systems, Institute of Information Systems, University of Hohenheim, Schwerzstr. 40, Osthof-Nord, 70599, Stuttgart, Germany; Schoop, Mareike; Intelligent Information Systems, Institute of Information Systems, University of Hohenheim, Schwerzstr. 40, Osthof-Nord, 70599, Stuttgart, Germany
The exchange of information is an essential means for being able to conduct negotiations and to derive situational decisions. In electronic negotiations, information is transferred in the form of requests, offers, questions and clarifications consisting of communication and decisions. Taken together, such information makes or breaks the negotiation. Whilst information analysis has traditionally been conducted through human coding, machine learning techniques now enable automated analyses. One of the grand challenges of electronic negotiation research is the generation of predictions as to whether ongoing negotiations will success or fail at the end of the negotiation process by considering the previous negotiation course. With this goal in mind, the present research paper investigates the impact of information load on predicting success and failure in electronic negotiations and how predictive machine learning models react to the successive increase of negotiation data. Information in different data combinations is used for the evaluation of various classification techniques to simulate the progress in negotiation processes and to investigate the impact of increasing information load hidden in the utility and communication data. It will be shown that the more information the merrier the result does not always hold. Instead, data-driven ML model recommendations are presented as to when and based on which data density certain models should or should not be used for the prediction of success and failure of electronic negotiations.
Kulturwandel in der Unternehmenskommunikation
die Etablierung einer datengetriebenen Kultur und ihre Auswirkungen
(2024) Groß, Marie Sophie; Schweiger, Wolfgang
Daten nehmen als immaterielle Ressource eine immer zentralere Rolle für die Unternehmenskommunikation ein, werden jedoch häufig noch nicht für die Entscheidungsfindung genutzt. Stattdessen werden intuitive Entscheidungen basierend auf Erfahrungen und Emotionen getroffen. Um dies zu ändern, ist ein Verständnis über eine datengetriebene Kultur in der Unternehmenskommunikation essenziell. Die bisherige Forschung konzentriert sich allerdings auf den Nutzen einer etablierten datengetriebenen Kultur für die Gesamtorganisation und weist Forschungslücken hinsichtlich der Charakteristika, Etablierungsfaktoren und Reifebeurteilung auf. Mithilfe der Erkenntnisse aus zehn qualitativen Expert:innen-Interviews unterstützt die vorliegende Arbeit die Schließung dieser Forschungslücken. Dabei werden sowohl die Perspektiven von Befragten direkt aus der Unternehmenskommunikation als auch von Personen, welche die datengetriebene Kultur auf Gesamtorganisationsebene betrachten, einbezogen. Die Ergebnisse zeigen, dass sich eine datengetriebene Kultur in der Unternehmenskommunikation nicht losgelöst von der Gesamtorganisation betrachten und zudem durch den Dreiklang der technischen, menschlichen und organisatorischen Ressource charakterisieren lässt. Dabei steht die menschliche Ressource im Kern des Konzeptes. In allen Ressourcen lassen sich dann wiederum für jedes Charakteristikum Etablierungsfaktoren identifizieren. Grundsätzlich ist hier die Dynamik der Charakteristika innerhalb der und zwischen den Ressourcen zu beachten. Gelingt es, eine datengetriebene Kultur in der Unternehmenskommunikation zu etablieren, führt dies zu einer Vielzahl an Vorteilen für die Abteilung selbst sowie für die Gesamtorganisation. Insgesamt zeigt sich zudem, dass das Verständnis einer datengetriebenen Kultur sehr individuell ist, wodurch nur vereinzelt Muster hinsichtlich Position und Branche erkennbar sind, keine in Bezug auf die Unternehmensgröße. Während das Verständnis bezüglich Charakteristika, Etablierungsfaktoren und Nutzen recht ausgeprägt ist, stellt die Reifebeurteilung auch Expert:innen vor Herausforderungen. Daher sollte diese im Fokus weiterführender Forschung stehen.
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; Albrecht, Tobias; FIM Research Center, Wittelsbacherring 10, 95444, Bayreuth, Germany; Baier, Marie-Sophie; FIM Research Center, Wittelsbacherring 10, 95444, Bayreuth, Germany; Gimpel, Henner; FIM Research Center, Wittelsbacherring 10, 95444, Bayreuth, Germany; Meierhöfer, Simon; FIM Research Center, Wittelsbacherring 10, 95444, Bayreuth, Germany; Röglinger, Maximilian; FIM Research Center, Wittelsbacherring 10, 95444, Bayreuth, Germany; Schlüchtermann, Jörg; University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany; Will, Lisanne; FIM Research Center, Wittelsbacherring 10, 95444, Bayreuth, Germany
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.
Social norms and webcam use in online meetings
(2022) Zabel, Sarah; Vinan Navas, Genesis Thais; Otto, Siegmar
Face-to-face meetings are often preferred over other forms of communication because meeting in person provides the “richest” way to communicate. Face-to-face meetings are so rich because many ways of communicating (spoken language and nonverbal cues) are available to support mutual understanding. With the progress of digitization and driven by the need to reduce personal contact during the global pandemic, many face-to-face work meetings have been shifted to videoconferences. With webcams turned on, video calls come closest to the richness of face-to-face meetings. However, webcam use often remains voluntary, and some participants choose not to turn their cameras on. In order to find ways to support webcam use—when desired—we analyzed how social norms in groups affect the decision to activate a webcam in a specific meeting. Based on an online survey with N = 333 participants, we found that social norms are related to an individual’s decision to turn on the webcam, even when controlling for group size. If the number of participants with activated webcams in a university meeting increased by 25%, it was 5.92 times more likely that an individual decided to turn their webcam on, too. Furthermore, 81.84% of respondents indicated they would turn on their webcam if participants in a meeting were explicitly asked to do so. The results demonstrate a strong relation between social norms and the decision to activate a webcam in online meetings. They build a basis for enhancing webcam use and enable a greater richness of communication in online meetings.
The daily relations between workplace anger, coping strategies, work outcomes, and workplace affiliation
(2025) Umbra, Robin; Fasbender, Ulrike
This study examines the daily relations among workplace anger, coping strategies, work outcomes, and employee dispositions using a conceptual framework based on affective events theory and cognitive perspectives on emotions. A sample of 214 full-time employees took part in a two-week study, contributing 1,611 daily observations through an experience sampling approach. Contrary to the assumption that workplace anger always detrimentally relates to work outcomes, the results showed a nonsignificant relation between workplace anger and workplace resource depletion, as well as a positive link between workplace anger and goal achievement. These relations were dependent on the coping strategies used by employees in response to anger-inducing situations, as well as their attitudes toward workplace affiliation. These findings suggest the need to expand affective events theory to include coping strategies as a mediator between affective responses and work outcomes. They also highlight the importance of integrating employee-level factors into organizational research models.
Why do or don't older employees seek knowledge from younger colleagues? A relation–opportunity model to explain how age‐inclusive human resources practices foster older employees' knowledge seeking from younger colleagues
(2021) Fasbender, Ulrike; Gerpott, Fabiola H.
Knowledge‐related interactions between older and younger employees are crucial for business success. Although research has contributed much to understanding why older employees share knowledge with younger colleagues, little is known about older employees' motivation to seek knowledge. In this study, we answer the question of how age‐inclusive human resources (HR) practices can foster older employees' knowledge seeking from younger colleagues. Drawing on social learning theory that conceptualises learning‐oriented behaviour (i.e. knowledge seeking) as being inextricably linked to social context and person‐related factors, we develop a dual pathway relation–opportunity model outlining how age‐inclusive HR practices foster older employees' development striving, which, in turn, promotes knowledge seeking from younger colleagues. On the one hand, we propose a relation‐based pathway that identifies contact quality with younger colleagues as a socio‐emotional mechanism linking age‐inclusive HR practices with knowledge seeking via development striving. On the other hand, we suggest an opportunity‐based pathway that identifies older employees' future time perspective as a person‐related mechanism. We find support for our hypotheses in a sample of 502 older employees who participated in a three‐wave survey. We discuss theoretical implications and encourage scholars to further shift the conversation towards an inclusive perspective that overcomes stereotypical views of older employees.

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