Institut für Marketing & Management

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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.
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.
Boosting multi-professional collaboration in palliative care through digital technologies: an action design research study
(2024) Wöhl, Moritz; Gimpel, Henner; Meindl, Oliver; Ostgathe, Christoph; Peuten, Sarah; Schneider, Werner; Steigleder, Tobias; Wöhl, Moritz; FIM Research Center for Information Management, Augsburg, Germany; Gimpel, Henner; FIM Research Center for Information Management, Augsburg, Germany; Meindl, Oliver; FIM Research Center for Information Management, Augsburg, Germany; Ostgathe, Christoph; Palliativmedizinische Abteilung, Comprehensive Cancer Center CCC Erlangen-EMN, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Peuten, Sarah; Chair of Sociology, University of Augsburg, Augsburg, Germany; Schneider, Werner; Chair of Sociology, University of Augsburg, Augsburg, Germany; Steigleder, Tobias; Palliativmedizinische Abteilung, Comprehensive Cancer Center CCC Erlangen-EMN, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
The success of palliative care requires collaboration among multiple professions within a sensibly digitized work system. The diverse perspectives and expertise of team members inform their collective endeavor, often leading to differing interpretations and priorities in patient care. This diversity necessitates a continual exchange of knowledge and information. Current technologies, including the hospital information system, do not foster such collaboration, particularly in palliative care. This study explores digital enhancements that can promote multi-professional collaboration (MPC). The authors employed action design research and used a work system theory lense to examine the palliative care work systems in two hospital wards in Germany. Through extensive on-site observations and interventions with practitioners, the study identified challenges that arose during MPC. This paper presents the proposed organizational and technical solutions. The paper provides design principles and guidelines for a collaboration support system to maximize MPC. Theoretical contributions include insights into the challenges of MPC and design knowledge about collaboration support. This work can inform practitioners about common challenges and offers potential solutions and guidance for implementing a collaboration support system.
Can feedback nudges enhance user satisfaction? Kano analysis for different eco-feedback nudge features in a smart home app
(2025) Berger, Michelle; Gimpel, Henner; Schnaak, Feline; Wolf, Linda
Digital nudging in smart home apps promotes energy conservation behavior in everyday life, helping to mitigate climate change. Prior research demonstrates the promising effect of the digital nudging element eco-feedback supporting behavioral change. However, the effect depends on adopting and using smart home apps with eco-feedback integrated. Hence, investigating user preferences concerning eco-feedback nudges is crucial in developing smart home apps that satisfy users. Considering the eco-feedback nudge features derived from a structured literature review, we conducted two user surveys approximately one year apart and assessed user satisfaction using the Kano model. The Kano model categorizes these features according to whether the user expects the feature or not, and whether the feature has a positive effect on user satisfaction when implemented or a negative effect when not implemented. As a result, we examine the impact of different eco-feedback nudge features on user satisfaction. Our study evaluates the robustness of user satisfaction over time and thereby adds another perspective to the traditional focus on the effectiveness of these nudges. Combining both perspectives – effectiveness and user satisfaction – is valuable for developers and providers of smart home apps to suggest which eco-feedback nudge features to incorporate.
Degrowth attitudes among entrepreneurs hinder fast venture scaling
(2024) Hinderer, Sebastian; Kuckertz, Andreas
The degrowth paradigm has gained popularity in the sustainability discourse in recent years. Questioning the absolute decoupling of economic growth from environmental degradation, degrowth proponents suggest downscaling production and consumption to reduce resource extraction and energy consumption. However, this seems to be at odds with conventional wisdom about entrepreneurship. Thus, our research aims to shed light on the implications of the degrowth discourse on entrepreneurship. We answer how degrowth attitudes among (sustainable) entrepreneurs are associated with decision‐making on scaling strategies for their ventures. Differentiating between scaling fast and scaling slow strategies, we show that a degrowth attitude is negatively associated with scaling fast strategies, whether entrepreneurs consider themselves sustainable or not. However, sustainable entrepreneurship is positively associated with scaling slow strategies. Furthermore, we show that the development level of the economy an entrepreneur is active in is an essential factor in the decision‐making on scaling strategies.
Designing collaborative intelligence systems for employee-AI service co-production
(2025) Blaurock, Marah; Büttgen, Marion; Schepers, Jeroen; Blaurock, Marah; Institute of Marketing & Management, University of Hohenheim, Stuttgart, Germany; Büttgen, Marion; Institute of Marketing & Management, University of Hohenheim, Stuttgart, Germany; Schepers, Jeroen; Innovation, Technology Entrepreneurship & Marketing (ITEM) group, Eindhoven Artificial Intelligence Systems Institute (EAISI). Eindhoven University of Technology, Eindhoven, The Netherlands
Employees increasingly co-produce services with artificial intelligence (AI). Focusing on system design, this research uncovers (1) which system features qualify an AI system as a so-called collaborative intelligence (CI) system, (2) to what extent CI systems influence work-related employee outcomes, and (3) which CI features relate to which outcomes. Based on an extensive literature review and a qualitative study, we demarcate CI from related concepts—such as hybrid intelligence, collective intelligence, and human-AI teaming—and identify five relevant CI system features: engagement, transparency, process control, outcome control, and reciprocal strength enhancement. Employing two scenario-based experiments with financial services employees ( N = 309) and HR professionals ( N = 345), we demonstrate that strong CI systems (i.e., characterized by the aforementioned five features) significantly relate to perceived service improvement, perceived outcome responsibility, (threat to) meaning of work, and adherence to the system. Particularly, transparency, process control, and outcome control are important design features, while, surprisingly, engagement seems less relevant. We also identify previous AI experience of employees as an important contingency factor: effects are much stronger for AI novices. Our research contributes to service literature by defining CI systems, while practitioners may benefit from our blueprint for CI system design.
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.
Dynamic modulation of the processing of unpredicted technical errors by the posterior cingulate and the default mode network
(2024) Wang, Zhiyan; Becker, Markus; Kondla, Gregor; Gimpel, Henner; Beer, Anton L.; Greenlee, Mark W.
The pervasive use of information technologies (IT) has tremendously benefited our daily lives. However, unpredicted technical breakdowns and errors can lead to the experience of stress, which has been termed technostress. It remains poorly understood how people dynamically respond to unpredicted system runtime errors occurring while interacting with the IT systems on a behavioral and neuronal level. To elucidate the mechanisms underlying such processes, we conducted a functional magnetic resonance imaging (fMRI) study in which 15 young adults solved arithmetic problems of three difficulty levels (easy, medium and hard) while two types of system runtime errors (problem errors and feedback errors) occurred in an unexpected manner. The problem error condition consisted of apparently defective displays of the arithmetic problem and the feedback error condition involved erroneous feedback. We found that the problem errors positively influenced participants’ problem-solving performance at the high difficulty level (i.e., hard tasks) at the initial stage of the session, while feedback errors disturbed their performance. These dynamic behavioral changes are mainly associated with brain activation changes in the posterior cingulate and the default mode network, including the posterior cingulate cortex, the mPFC, the retrosplenial cortex and the parahippocampal gyrus. Our study illustrates the regulatory role of the posterior cingulate in coping with unpredicted errors as well as with dynamic changes in the environment.
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.
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.
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.
Ein integriertes Konzept für nachhaltige hybride Arbeit – Erkenntnisse und Handlungsempfehlungen aus einem Transformationsprojekt
(2022) Kreuzer, Thomas; Lanzl, Julia; Römmelt, Jörg; Schoch, Manfred; Wenninger, Simon
Große gesellschaftliche Herausforderungen wie die COVID-19-Pandemie und der globale Klimawandel haben die Art und Weise wie Menschen zusammenarbeiten und über Arbeit nachdenken für immer verändert. Aber was bedeutet das konkret für Organisationen? Genau diese Frage wird in diesem Artikel anhand einer Fallstudie über das Transformationsprojekt eines deutschen Forschungsinstituts hin zu nachhaltiger hybrider Arbeit untersucht. Der analysierte Fall ist besonders interessant, weil sich das Forschungsinstitut zusätzlich der Herausforderung eines anstehenden Umzugs noch während der COVID-19-Pandemie gegenübersah. Der Artikel zielt darauf ab, Erfahrungen und Handlungsempfehlungen für eine adäquate Gestaltung der Rahmenbedingungen für nachhaltige hybride Arbeit in allen Phasen der Transformation darzustellen. Erstens wird ein konkretes New-Work-Konzept entlang mehrerer Dimensionen für nachhaltige hybride Arbeit präsentiert, das durch Erkenntnisse in der Literatur und durch Erfahrungen aus deren praktischer Anwendung entwickelt wurde. Zweitens werden Einblicke in die Umsetzung gegeben, dabei das Zusammenspiel mehrerer interdisziplinärer Teams aufgezeigt und Good Practices auf dem Weg zu nachhaltiger hybrider Arbeit abgeleitet. Der Beitrag hebt sich von bisherigen Erkenntnissen ab, da er hybride Arbeit und Nachhaltigkeit vereint und Wege der integrierten, interdisziplinären Umsetzung aufzeigt. So geben unsere Ergebnisse anderen New-Work-Forschenden Grundlage und Struktur, um das Konzept nachhaltige hybride Arbeit und der Entwicklung und Messung ihrer Erfolgsfaktoren tiefergehend zu untersuchen. Praktiker können das Konzept und die Good Practices als Blaupause für die eigene Transformation hin zu nachhaltiger hybrider Arbeit verwenden und davon ausgehend organisationsindividuelle Anpassungen vornehmen.
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.
Palliative care as a digital working world (PALLADiUM) - a mixed-method research protocol
(2023) Grimminger, Sandra; Heckel, Maria; Markgraf, Moritz; Peuten, Sarah; Wöhl, Moritz; Gimpel, Henner; Klein, Carsten; Ostgathe, Christoph; Steigleder, Tobias; Schneider, Werner
Background: In Palliative Care, actors from different professional backgrounds work together and exchange case-specific and expert knowledge and information. Since Palliative Care is traditionally distant from digitalization due to its holistically person-centered approach, there is a lack of suitable concepts enabling digitalization regarding multi-professional team processes. Yet, a digitalised information and collaboration environment geared to the requirements of palliative care and the needs of the members of the multi-professional team might facilitate communication and collaboration processes and improve information and knowledge flows. Taking this chance, the presented three-year project, PALLADiUM, aims to improve the effectiveness of Palliative Care teams by jointly sharing available inter-subjective knowledge and orientation-giving as well as action-guiding practical knowledge. Thus, PALLADiUM will explore the potentials and limitations of digitally supported communication and collaboration solutions. Methods: PALLADiUM follows an open and iterative mixed methods approach. First, ethnographic methods – participant observations, interviews, and focus groups – aim to explore knowledge and information flow in investigating Palliative Care units as well as the requirements and barriers to digitalization. Second, to extend this body, the analysis of the historical hospital data provides quantitative insights. Condensing all findings results in a to-be work system. Adhering to the work systems transformation method, a technical prototype including artificial intelligence components will enhance the collaborative teamwork in the Palliative Care unit. Discussion: PALLADiUM aims to deliver decisive new insights into the preconditions, processes, and success factors of the digitalization of a medical working environment as well as communication and collaboration processes in multi-professional teams.
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.
Selective coupling or genuine integration? Startups in the twin transformation
(2026) Kuckertz, Andreas; Hinderer, Sebastian
Startups actively shape innovation during the twin transformation to sustainability and digitalization. Our analysis of >21,000 ventures reveals that genuine twin-transformers, i.e., startups able to integrate digital and green technologies, are rare and primarily driven by software. While sustainable ventures readily adopt digital tools, digital ventures rarely embrace sustainability. This asymmetry reflects different configurations of complementarities between digital and sustainable technologies, which investor preferences reinforce. Eventually, this may lead to superficial coupling rather than deep integration. To address the issue, we offer targeted recommendations for practitioners, policymakers, and researchers aiming to foster scalable, hardware-based solutions critical for sustainability.

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