@inbook{59802,
  author       = {{Löhr, Bernd and Bartelheimer, Christian and Köhne, Frank and Nordlohne, Sina and Alile, Daniel and Latten, Andrees}},
  booktitle    = {{Business Process Management Workshops}},
  isbn         = {{9783031786655}},
  issn         = {{1865-1348}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Forging the LongSWORD: Exaptation and Enhancement of the SWORD Framework for Workaround Detection}}},
  doi          = {{10.1007/978-3-031-78666-2_24}},
  year         = {{2025}},
}

@inbook{58724,
  author       = {{Brennig, Katharina and Kaltenpoth, Sascha Benjamin and Müller, Oliver}},
  booktitle    = {{Lecture Notes in Business Information Processing}},
  isbn         = {{9783031786655}},
  issn         = {{1865-1348}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?}}},
  doi          = {{10.1007/978-3-031-78666-2_15}},
  year         = {{2025}},
}

@inbook{60030,
  author       = {{Daniel-Söltenfuß, Desiree and Kremer, H.-Hugo and Kückmann, Marie-Ann}},
  booktitle    = {{Berufsbildungsforschung. Rezeption - Translation - Transfer}},
  editor       = {{Rödl, Bodo and Ertl, Hubert and Liebscher, Sandra}},
  isbn         = {{ 978-3-8474-2823-7}},
  pages        = {{239--252}},
  publisher    = {{BIBB}},
  title        = {{{One size fits all? Annäherungen an Leitlinien zum Transfer in Rahmen von Innovationsprogrammen}}},
  year         = {{2025}},
}

@article{60031,
  abstract     = {{Reputation systems to rate companies’ performances remain largely unexplored in research and are scarcely used in business-to-business (B2B) practice. Such systems are essential for businesses seeking trustworthy partners, as they help reduce information asymmetry, lower buyers' transaction risks, and allow high-quality service providers to justify premium pricing. Unlike traditional review-based systems in the business-to-consumer (B2C) context, we propose a B2B reputation mechanism in which buyers commit to a rating payment before a transaction. Once the buyer finalizes the rating, this payment is executed and recorded on a blockchain as an immutable, secure ledger. Our system mimics natural trust-building mechanisms with ratings that are (1) monetary-based, (2) stake-based, (3) non-aggregated, (4) involve counter-ratings, (5) selectively sellable, (6) individually comparable, (7) stored on a blockchain, (8) and monitored by a third instance. This system provides a novel approach to fostering trust in B2B transactions by reducing information asymmetry and transaction risk. We illustrate the mechanism’s application in the consulting sector. Our analysis has identified 23 institutional trust and distrust dimensions that promote establishing institutional trust through the proposed mechanism. Qualitative interviews suggest that, while complex and challenging to apply, this mechanism can foster trust in B2B transactions. Given the low maturity in the application domain—rating professional business services with business reputation systems—and solution domain—using monetary stakes for ratings, this system stands as a potential invention.}},
  author       = {{Hemmrich, Simon and Nissen, Volker and Beverugen, Daniel and Pauls, Josias Daniel Miño}},
  issn         = {{1617-9846}},
  journal      = {{Information Systems and e-Business Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Blockchain-based reputation systems for business-to-business services: designing a reputation mechanism to reduce information asymmetry in professional consulting}}},
  doi          = {{10.1007/s10257-025-00702-9}},
  year         = {{2025}},
}

@book{60097,
  editor       = {{Beverungen, Daniel and Lehrer, Christiane and Trier, Matthias}},
  isbn         = {{9783031801181}},
  issn         = {{2195-4968}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Conceptualizing Digital Responsibility for the Information Age}}},
  doi          = {{10.1007/978-3-031-80119-8}},
  year         = {{2025}},
}

@techreport{60596,
  author       = {{Dyck, Daniel and Hechtner, Frank and Maiterth, Ralf and Sureth-Sloane, Caren}},
  title        = {{{Abschreibungen als Mittel der Investitionsförderung in Deutschland – Möglichkeiten, Grenzen und Perspektiven evidenzbasierter Analysen}}},
  doi          = {{http://dx.doi.org/10.2139/ssrn.5337276 }},
  year         = {{2025}},
}

@inproceedings{63585,
  author       = {{Alberternst, Benedikt and Steinhoff, Lena and Woisetschläger, David M}},
  booktitle    = {{2025 AMA Winter Academic Conference Proceedings}},
  title        = {{{Responsible Loyalty Programs: How Redemptions for a Cause Impact Customer Loyalty}}},
  year         = {{2025}},
}

@inproceedings{63584,
  author       = {{Witte, Carina and Steinhoff, Lena}},
  booktitle    = {{2025 AMA Winter Academic Conference Proceedings}},
  title        = {{{Unlocking Spiritual Value: Magical Experiences of Commercial Services}}},
  year         = {{2025}},
}

@techreport{63596,
  abstract     = {{<jats:p>Im Rahmen der vorliegenden Studie wird der Status quo sowie die Entwicklung des Einsatzes von KI in der industriellen Arbeitswelt in OstWestfalenLippe beschrieben. Ziel ist es, eine belastbare Grundlage für die Gestaltung KI-gestützter Arbeitsprozesse zu schaffen und bedarfsbezogene Maßnahmen abzuleiten.
Die Befragungen wurden in den Jahren 2021 und 2025 vom Kompetenzzentrum Arbeitswelt.Plus und dem Spitzencluster it’s OWL durchgeführt. Im Jahr 2021 nahmen 318 Personen aus 89 Unternehmen teil. Im Jahr 2025 beteiligten sich 240 Personen aus 50 Unternehmen.
Die Ergebnisse zeigen eine deutliche Weiterentwicklung. Unternehmen bewegen sich zunehmend in Diskussions- und Einführungsphasen, und die tägliche Nutzung von KI durch die Mitarbeitenden steigt. Mit dem Durchbruch generativer KI rücken text- und wissensbezogene Anwendungen in den Vordergrund. Der Autonomiegrad der Lösungen ist überwiegend Mensch-unterstützend und dient der Entscheidungsvorbereitung. Zentrales Ziel für die Einführung von KI im Unternehmen bleibt die Effizienzsteigerung. Im Jahr 2025 gewinnen zudem die Unterstützung der Mitarbeitenden im Arbeitsalltag und die Reduzierung von Belastungen an Bedeutung, was die Relevanz der Mensch-KI-Zusammenarbeit unterstreicht.
Als zentrale Herausforderungen zeigt sich die hohe Komplexität von KI, die die Einführung im Unternehmen erschwert. Weitere Herausforderungen sind fehlende Kompetenzen, die durch gezielte Qualifizierung aufgebaut werden müssen. Dabei besteht eine Diskrepanz zwischen Selbst- und Fremdwahrnehmung hinsichtlich der Schulungsangebote. Zudem muss Datensicherheit gewährleistet werden, passende Anwendungsfälle ausgewählt werden und Entscheidungsprozesse beschleunigt werden. Demgegenüber wurde herausgefunden, dass den Mitarbeitenden in den befragten Unternehmen im Jahr 2025 grundsätzlich das Ziel und der Mehrwert der Einführung von KI klar sind und sie die Stärken und Grenzen von KI verstehen.
Die gewonnenen Erkenntnisse fließen in die Gestaltung der Einführungsprozesse von KI im Unternehmen ein. Unternehmen sollten sich der genannten Herausforderungen bewusst sein, um passend zu reagieren und die Mensch-KI-Interaktion zu stärken. Eine ganzheitliche Sicht auf KI als Technologie, auf den Menschen und auf das Unternehmen ist für die Einführung von KI wichtig.</jats:p>}},
  author       = {{Dondorf, Verena and Lebedeva, Elena and Thommes, Kirsten and Dumitrescu, Roman}},
  publisher    = {{Kompetenzzentrum Arbeitswelt.Plus}},
  title        = {{{Evolution von KI in der industriellen Arbeitswelt}}},
  doi          = {{10.55594/baey2442}},
  year         = {{2025}},
}

@inbook{62763,
  author       = {{Sloane, Hannah Sabrina and Heidebrecht, Jana and Jenert, Tobias}},
  booktitle    = {{Prototyp Zukunft: Lösungen für transformative Lehre im Modus des Scholarship}},
  editor       = {{van Treeck, Timo and Sczcyrba, Birgit and Hochmuth, Reinhard and Schaper, Niclas and Heuchemer, Sylvia}},
  title        = {{{Fachsensible wissenschaftliche Begleitung}}},
  doi          = {{10.57684/COS-1314}},
  year         = {{2025}},
}

@unpublished{63782,
  abstract     = {{Senders of messages prefer to communicate uncertainty verbally (e.g., something is likely to happen) rather than numerically (such as 75%), leaving receivers with imprecise information. While it is well established that receivers translate verbal probabilities into numerical values that systematically deviate from the intended numerical meaning, it is less clear how this discrepancy influences subsequent behavioral actions. Thus, the role of verbal versus numerical communication of uncertainty warrants additional attention, to investigate two critical questions: 1) whether differences in decision-making under uncertainty arise between these communication forms, and 2) whether such differences persist even when verbal phrases are translated accurately into the intended numerical meaning. By implementing a laboratory experiment, we show that individuals place significantly lower values on uncertain options with medium to high likelihoods when uncertainty is communicated verbally rather than numerically. This effect may lead to less rational decisions under verbal communication, particularly at high likelihoods. Those results remain consistent even if individuals translate verbal uncertainty correctly into the intended numerical uncertainty, implying that a biased behavioral response is not only induced by miscommunication. Instead, ambiguity about the exact meaning of a verbal phrase interferes with decision-making even beyond potential mistranslations. These findings tie in with previous research on ambiguity aversion, which has predominantly operationalized ambiguity through numerical ranges rather than verbal phrases. Based on our findings we conclude that managers should communicate uncertainty numerically, as verbal communication can unintentionally influence the decision-making process of employees.}},
  author       = {{Bodenberger, Robin and Thommes, Kirsten}},
  title        = {{{Words or Numbers? How Framing Uncertainties Affects Risk Assessment and Decision-Making}}},
  year         = {{2025}},
}

@unpublished{63783,
  author       = {{Thommes, Kirsten and Mehic, Miro}},
  publisher    = {{Elsevier BV}},
  title        = {{{Foreign Language Use, Attribution Error, and Newcomer Integration}}},
  year         = {{2025}},
}

@article{60017,
  author       = {{Skolik, Alexander Marcus and zur Heiden, Philipp and Donner, Johannes Aurelius Tamino and Priefer, Jennifer}},
  journal      = {{ECIS 2025 Proceedings}},
  location     = {{Amman, Jordan}},
  title        = {{{Igniting Knowledge Management for Assistance Systems in Maintenance: A Method for Knowledge Gathering}}},
  volume       = {{2}},
  year         = {{2025}},
}

@inbook{62304,
  author       = {{Schotten, Sarah Theresa and Otto, Franziska and Kremer, H.-Hugo}},
  booktitle    = {{Jahrbuch der berufs- und wirtschaftspädagogischen Forschung 2025}},
  editor       = {{Kögler, K. and Kremer, H.-H. and Herkner, V.}},
  isbn         = {{9783847431329}},
  pages        = {{253}},
  publisher    = {{Barbara Budrich}},
  title        = {{{Geschlechterstereotype Selbstdarstellungen junger Frauen in der Ausbildungsvorbereitung}}},
  year         = {{2025}},
}

@article{55620,
  author       = {{Speckenmeyer, Philipp and Hilmer, Constanze and Rauchecker, Gerhard and Schryen, Guido}},
  journal      = {{Computers & Operations Research}},
  title        = {{{Parallel Branch-and-Price Algorithms for the Single Machine Total Weighted Tardiness Scheduling Problem with Sequence-Dependent Setup Times}}},
  doi          = {{https://dx.doi.org/10.2139/ssrn.4537436}},
  volume       = {{173}},
  year         = {{2025}},
}

@inproceedings{61309,
  abstract     = {{Service ecosystems reshape service innovation by enabling value co-creation among diverse actors. However, small and medium-sized enterprises and public organizations face significant challenges navigating and leveraging these ecosystems due to resource constraints, knowledge gaps, and partnership difficulties. While digital innovation hubs have been introduced as potential intermediaries to foster innovation, existing models primarily focus on individual solutions and networking rather than orchestrating service innovation. This study investigates the design of a digital service innovation hub as an orchestrating entity that facilitates service innovation within ecosystems. Under the design science research paradigm, we analyze the challenges faced by small and medium-sized enterprises and public organizations and derive design requirements for these hubs. Based on 17 expert interviews and focus group validations, we define the problem
space and provide a requirements catalog for designing digital service innovation hubs as a step towards providing holistic support for service innovation initiatives.}},
  author       = {{Schäfer, Jannika Marie and Liebschner, Jonas and Rajko, Polina and Cohnen, Henrik and Lugmair, Nina and Heinz, Daniel}},
  booktitle    = {{Proceedings of the 20th International Conference on Wirtschaftsinformatik (WI 2025)}},
  keywords     = {{service innovation, ecosystem, innovation hubs, SMEs, public sector}},
  location     = {{Münster, Germany}},
  publisher    = {{Association for Information Systems (AIS)}},
  title        = {{{Designing Digital Service Innovation Hubs: An Ecosystem Perspective on the Challenges and Requirements of SMEs and the Public Sector}}},
  year         = {{2025}},
}

@inproceedings{61368,
  author       = {{Stumpe, Miriam and Speckenmeyer, Philipp and Schryen, Guido and Kleinjohann, Lisa and Weskamp, Christoph}},
  booktitle    = {{Proceedings of the Thirty-first Americas Conference on Information Systems (AMCIS 2025)}},
  title        = {{{Planning a Swarm-Based Mobility System with Autonomous Vehicles for Sustainable and Flexible Transportation in Rural Areas}}},
  year         = {{2025}},
}

@inproceedings{61370,
  author       = {{Göbel, J. and Betke, H. and Boldt, J. and Tran, M. L. and Schryen, Guido}},
  booktitle    = {{Proceedings of the Thirty-first Americas Conference on Information Systems (AMCIS 2025)}},
  title        = {{{The Impact of Chatbot Familiarity and Frequency of Use on Human-Likeness}}},
  year         = {{2025}},
}

@article{61377,
  author       = {{Schneider, Martin and Hemsen, Paul and Kundisch, Dennis}},
  journal      = {{management revue - Socio-Economic Studies, Special Issue “Digital Transformation of Work”.}},
  publisher    = {{Nomos Verlag}},
  title        = {{{Who are the Actively Participating Crowdworkers? A Qualitative Comparative Analysis of a German Text Creation PlatformSocio-Economic Studies, }}},
  year         = {{2025}},
}

@inproceedings{61381,
  author       = {{Grieger, Nicole and Okumus, Hasan and Burdorf, Sven and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the MCIS 2025}},
  title        = {{{Traffic Scenario Detection – A Comparison of CNN-RNN and Transformer-based Architectures in the Context of Autonomous Driving}}},
  year         = {{2025}},
}