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.

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.
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.
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.
Conquering knowledge exchange barriers with age differences: a stress appraisal perspective on the consequences of upward social comparisons
(2025) Rinker, Laura; Fasbender, Ulrike; Gerpott, Fabiola H.; Burmeister, Anne
Knowledge exchange is crucial for organizations, but interpersonal dynamics can entail stress, affecting whether and how knowledge flows. Integrating social comparison and stress appraisal research, we propose that upward social comparison can be appraised as challenging or hindering. We suggest a dual pathway model involving an approach pathway via challenge appraisal and an avoidance pathway via hindrance appraisal with consequences on three knowledge exchange behaviours (i.e., knowledge sharing, knowledge seeking and knowledge hiding). Additionally, we examine age differences (vs. no age differences) to the comparison target as a buffer. We conducted two preregistered experimental online studies with employees (NStudy 1 = 206, NStudy 2 = 414), utilizing a 2 (social comparison; upward, lateral) × 3 (target age; younger, same‐age, older) between‐subject design. Participants received bogus task performance feedback (Study 1: cognitive ability test; Study 2: typing ability test). Both studies show that upward social comparison (but not other social comparison directions) fosters knowledge hiding via hindrance appraisal. This effect is weakened by an age difference (vs. no age difference) to the comparison target. However, our results do not support the approach pathway via challenge appraisal. Our research highlights social pitfalls in knowledge exchange and emphasizes the benefits of age differences between colleagues.
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.
Cultural change in servitization
(2025) Biesinger, Benjamin; Hadwich, Karsten
Manufacturers are increasingly transforming into industrial service providers. Driven by product commoditization and rapid technology cycles, they increasingly compete on value delivered to customers by shifting their business model to integrated solutions with advanced services. The phenomenon coined servitization can be a powerful engine for manufacturers to grow beyond their traditional product business. Since product and service businesses operate on a fundamentally different logic, servitization requires changes in manufacturers’ deep-rooted organizational beliefs, values and behaviors. Accordingly, creating a culture that supports servitization is critical. Cultural change is widely recognized in servitization research but remains poorly understood. While literature increasingly contributes to understanding “what” values and behaviors that support servitization, insights into “how” change processes shape servitization cultures remain limited. Aiming to support academics and practitioners addressing cultural change in servitization, this dissertation examines how manufacturers change their organizational culture as they transform into industrial service providers and the practices that facilitate the change process. Section 1 presents an overview of industrial and academic perspective on the challenges of cultural change in servitization. Content challenges involve conceptualizing the multiple layers of servitization culture, synthesizing existing concepts and constructs, and expanding digital and learning culture frameworks. Process challenges focus on integrating organizational and sociocognitive theories while identifying holistic change practices. Context challenges center on understanding the role of service-driven mergers and acquisitions, digital technologies and ecosystems, and the transformative shift toward resilience and sustainability. Building on these academic challenges, the section concludes by outlining the dissertation’s aims and structure to address them. Section 2, “Cultural change in servitization – a conceptual review and framework,” concerns the content and process of social construction as servitizing manufacturers change their culture. The article integrates organizational and sociopsychological theories to develop an organizational learning framework for cultural change, explaining the emergence and interaction of organizational and member-level concepts. Second, the framework guides a systematic literature review to integrate fragmented knowledge on cultural change in servitization and establish conceptual order. The article presents 12 propositions, revealing three major cultural orientations (service, digital and learning) and offering guidance for managing organizational and member-level change. Section 3, “The role of strategic and learning orientation in creating competitive advantage through digital service innovation,” concerns fostering organizational learning to drive digital service innovation. The conceptual article integrates recent advances in digital servitization and organizational learning within the resource-based and dynamic capabilities view. It challenges prior assumptions in the field by conceptualizing learning orientation as a moderator of strategic digital, service and innovation orientation to drive servitization performance. The article presents four propositions on the cultural antecedents and conditions, offering guidance for change management to achieve competitive advantage and resilience through digital service innovation. Section 4, “Path towards servitization culture: Unveiling the organizational learning practices to support the cultural change from product manufacturing to independent service provision,” concerns a manufacturer’s cultural change to become a leading independent service provider through service-driven M&A, internationalization and corporate restructuring. The article gathers data from interviews and company documents to obtain a dynamic view of cultural change in servitization. The in-depth, long-term single case study identifies three cultural streams permeating culture during the transformation: independent service orientation, customer orientation and entrepreneurial learning orientation. The organizational learning practices to freeze the emerging ISP culture, rebalance the global ISP culture and unfreeze the ISP learning culture offer guidance for managing continuous change processes. Section 5 provides a concluding analysis of the articles, deriving theoretical contributions, practical implications and a future research agenda. From a theoretical perspective, this dissertation introduces organizational learning as a framework to explore the emergent and human aspects of change in servitization and conceptualizes the servitization culture. Moreover, it extends the notion of continuous change, interorganizational change and servitization culture as a transformative response to technological and societal disruption. For practitioners, this research integrates its findings with prescriptive models of learning organizations to formulate principles for strategies and practices that support the creation of a servitization culture. The research agenda focuses on advancing research on servitization culture in Industry 5.0, extending multilevel research and introducing configuration and intervention as a research strategy for cultural change in servitization.
Digital facilitation of group work to gain predictable performance
(2024) Gimpel, Henner; Lahmer, Stefanie; Wöhl, Moritz; Graf-Drasch, Valerie
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
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
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.
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.
How to prevent technostress at the digital workplace: a Delphi study
(2024) Berger, Michelle; Schäfer, Ricarda; Schmidt, Marco; Regal, Christian; Gimpel, Henner
Technostress is a rising issue in the changing world of digital work. Technostress can cause severe adverse outcomes for individuals and organizations. Thus, organizations face the moral, legal, and economic responsibility to prevent employees’ excessive technostress. As technostress develops over time, it is crucial to prevent it throughout the process of its emergence instead of only reacting after adverse outcomes occur. Contextualizing the Theory of Preventive Stress management to technostress, we synthesize and advance existing knowledge on inhibiting technostress. We develop a set of 24 technostress prevention measures from technostress inhibitor literature, other technostress literature, and based on qualitative and quantitative contributions from a Delphi study. Based on expert feedback, we characterize each measure and, where possible, assess its relevance in addressing specific technostressors. Our paper contributes to research by transferring the Theory of Preventive Stress Management into the context of technostress and presenting specific measures to prevent technostress. This offers a complementary view to technostress inhibitors by expanding the theoretical grounding and adding a time perspective through the implementation of primary, secondary, and tertiary prevention measures. For practice, we offer a comprehensive and applicable overview of measures organizations can implement to prevent technostress.
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.
The impact of information load on predicting success in electronic negotiations
(2025) Kaya, Muhammed-Fatih; Schoop, Mareike
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
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.
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.

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