@article{65783,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>
                    The shift to a low-carbon economy requires developing green skills across sectors. This paper builds on a recent Perspective
                    <jats:sup>1</jats:sup>
                    article examining how institutional regimes shape green skill formation. Drawing on the microfoundations of management research, we propose a micro-level perspective of public sector green skill formation, thereby emphasizing the role of street-level bureaucrats serving as public servants who directly engage with citizens in implementing public policies and outline a research agenda.
                  </jats:p>}},
  author       = {{Kesternich, Martin and Kiepe, Karina and Reimsbach, Daniel and Trang, Simon Thanh-Nam and Yang, Philip}},
  issn         = {{2731-9814}},
  journal      = {{npj Climate Action}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Equipping street-level bureaucrats with green skills for sustainable public policy change}}},
  doi          = {{10.1038/s44168-026-00389-9}},
  volume       = {{5}},
  year         = {{2026}},
}

@article{66086,
  abstract     = {{This study investigates whether explainable AI (XAI), although intended to improve calibrated reliance in augmented decision-making (ADM), may also increase negative consultations. In a between-subjects online experiment (n = 200), participants completed a price classification task supported by AI, while we manipulated the presence of local feature-based explanations. Drawing on dual-process theory as an interpretive lens, we conceptualize explainability as a cognitively ambivalent intervention that reshapes reliance behavior. Our results show that XAI-induced transparency exerts competing effects: while it directly reduces negative consultations, it simultaneously increases competence-based trust and shifts responsibility attribution toward the AI. These mechanisms foster overreliance and significantly increase negative consultations, resulting in a competitive mediation pattern. Notably, comparable effects do not emerge for positive consultations, suggesting that transparency more readily amplifies reliance than it promotes corrective belief updating. By empirically demonstrating this paradox, our study develops IS and Decision Sciences research on automation bias in transparent ADM settings and identifies key psychological mechanisms through which explainability influences reliance. These findings inform the design of XAI systems that prioritize calibrated reliance rather than merely increasing perceived transparency.}},
  author       = {{Matschak, Tizian and Ilja, Nastjuk and Trang, Simon Thanh-Nam and Benitez, Jose}},
  journal      = {{Decision Support Systems}},
  pages        = {{114721}},
  title        = {{{Unveiling the Hidden Layer: Ambivalent Cognitive Effects of XAI in Augmented Decision-Making under Uncertainty}}},
  doi          = {{10.1016/j.dss.2026.114721}},
  volume       = {{209}},
  year         = {{2026}},
}

@inproceedings{66596,
  author       = {{Rehmer, Lennart and Grieger, Nicole and Trier, Matthias and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik}},
  location     = {{Linz, Austria}},
  title        = {{{Can I Help to Explain That? A Conceptual Model Integrating Social Cognition and Intentional Stance Theories for Agentic XAI Design}}},
  year         = {{2026}},
}

@inproceedings{66597,
  author       = {{Rehmer, Torben and Rehmer, Lennart and Kundisch, Dennis and Trier, Matthias}},
  booktitle    = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik}},
  location     = {{Linz, Austria}},
  title        = {{{Structuring the Use of Virtual Reality in Human Behavior Research: A Taxonomy of Empirical Studies}}},
  year         = {{2026}},
}

@inproceedings{66595,
  author       = {{Hansmeier, Lars and Grieger, Nicole and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik, Student Track}},
  location     = {{Linz, Austria}},
  title        = {{{Mind the Gender Pitch Gap: The Effect of Regulatory Focus and Tense Orientation on Startup Funding}}},
  year         = {{2026}},
}

@article{54445,
  author       = {{Burmeister, Sascha Christian}},
  journal      = {{Croatian Operational Research Review}},
  number       = {{2}},
  title        = {{{A Memetic NSGA-III for Green Flexible Production with Real-Time Energy Costs & Emissions}}},
  doi          = {{10.17535/crorr.2025.0009}},
  volume       = {{16}},
  year         = {{2025}},
}

@unpublished{59670,
  author       = {{Burmeister, Sascha Christian and Rogalski, Till Niklas and Schryen, Guido}},
  pages        = {{8}},
  title        = {{{Comparative Analysis of Evolutionary Algorithms for Energy-Aware Production Scheduling}}},
  year         = {{2025}},
}

@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}},
}

@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}},
}

@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}},
}

@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}},
}

@inproceedings{61380,
  author       = {{Althaus, Maike}},
  booktitle    = {{Proceedings of the MCIS 2025}},
  title        = {{{Tech, Trash and Theft – Exploring the Impact of Food Waste Apps on Local Shoplifting in Grocery Stores and Supermarkets}}},
  year         = {{2025}},
}

@inproceedings{61375,
  author       = {{Reineke, Malte Fabian and Löhr, Bernd and Aßbrock, Agnes and Bartelheimer, Christian and Beverungen, Daniel}},
  booktitle    = {{International Conference on Business Process Management 2025}},
  isbn         = {{9783032028662}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{From Temporary Fixes to Informed Decisions—Design Echelons for Evaluating Workarounds}}},
  doi          = {{10.1007/978-3-032-02867-9_32}},
  year         = {{2025}},
}