@inproceedings{61528, author = {{Hassan, Nik and Marrone, Mauricio and Schryen, Guido and Yang, Jack}}, booktitle = {{Proceedings of the 59th Hawaii International Conference on System Sciences}}, title = {{{Using Google’s Natural Language Model to Measure Growth of Knowledge in Information Systems Research}}}, year = {{2026}}, } @inproceedings{61310, abstract = {{Service systems engineering relies on structured, top-down approaches to designing and innovating service systems. In today’s dynamic environments—shaped by digital transformation, evolving provider–user interactions, and shifting societal demands—these approaches face limitations in enabling continuous, context-sensitive innovation. Continuous Value Shaping emerges as a conceptual extension to service systems engineering, promoting more adaptive and co-evolutionary forms of service system development. This study examines how Continuous Value Shaping manifests through a multiple case study of three public sector projects. We identify distinct manifestations and constellations of the concept’s principles that complement classical SSE practices. As the first empirical exploration of Continuous Value Shaping, the study refines its conceptual foundation and enhances its accessibility for researchers and practitioners. We conclude with seven empirically derived propositions that inform future service systems engineering initiatives and demonstrate how Continuous Value Shaping supports the dynamic alignment of service systems with societal and systemic demands.}}, author = {{Schäfer, Jannika Marie and Rajko, Polina and Angelova, Daniela and Böhmann, Tilo}}, booktitle = {{Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS 2026)}}, keywords = {{Continuous Value Shaping, Service Systems Engineering, Service Science, Public Sector, Service Innovation}}, location = {{Maui, Maui, Hawaii, USA}}, publisher = {{Association for Information Systems (AIS), IEEE Computer Society Press, University of Hawaii (Manoa)}}, title = {{{From Engineering to Shaping: A Multiple Case Study on Advancing Service Systems Engineering through Continuous Value Shaping}}}, year = {{2026}}, } @article{65105, author = {{zur Heiden, Philipp and Halimeh, Haya and Hansmeier, Philipp and Vorbohle, Christian and Althaus, Maike and Beverungen, Daniel and Kundisch, Dennis and Müller, Oliver}}, journal = {{Communications of the Association for Information Systems}}, title = {{{Data Spaces for Heterogeneous Data Ecosystems – Findings from a Design Study in the Cultural Sector}}}, year = {{2026}}, } @article{65311, abstract = {{Information Systems (IS) is rooted in systems theory. Systems theory offers powerful concepts to address challenges of growing system complexity and non-systemic design approaches in information systems. Despite its systemic origins, systems theory remains a peripheral topic in IS. The study addresses this gap by introducing a comprehensive framework of 52 systems-theoretical concepts to guide the design of complex IS artifacts. We synthesize scattered systems knowledge from diverse disciplines to provide a unified level of abstraction for complex information system design. We apply the framework to a use case of business reputation systems to show how the systems lens informs the design of a novel, complex information system. We make three key contributions to the literature. First, the framework provides a common ground for interdisciplinary research in information system design. Second, it offers a unified level of abstraction grounded in systems theory that serves as a coherent basis for artifact design. Third, it demonstrates the potential of systems theory as a foundational justificatory knowledge base. Furthermore, we provide guidance on applying the framework across multiple modes of reasoning, alongside further application guidelines. The study thus serves as a bridge between the body of systems knowledge and contextual design in IS.}}, author = {{Ibrahimli, Ulvi and Hemmrich, Simon and Winkelmann, Axel}}, journal = {{Communication of the Association for Information Systems}}, keywords = {{Information Systems Research, Systems Theory, System Complexity, System Design, Design Science}}, publisher = {{AIS}}, title = {{{Bridging Systems Theory and Information Systems: A Framework for Designing Complex Information Systems}}}, doi = {{https://aisel.aisnet.org/cais/vol58/iss1/37/}}, year = {{2026}}, } @inbook{65310, abstract = {{Trust between client and consultant is perhaps the most important asset in con-sulting, as this is a highly intangible knowledge-intensive business that concerns is-sues of outstanding strategic and operational importance for the customers. Cli-ents who have not worked with a particular consultancy face considerable risk when they place an order while lacking reliable information about the service quality they can expect. There is a strong link between trust and reputation, as the positive reputation of a consultancy can act as a substitute for a new client’s missing individual experience with the provider, fostering trust in the service quali-ty. Thus, creating, maintaining, and demonstrating a good reputation is of signifi-cant importance for consultancies in a very competitive industry. To facilitate trustworthy signals, we design and implement a novel reputation mechanism that carries a monetary weight stored on a blockchain network as an immutable, decentralized, and transparent ledger. Based on an implementation in the Ethereum network and subsequent evaluation, we conclude that the reputation mechanism can contribute to leveling information asymmetry and reducing risk while increasing reputation and trust. The mechanism lends itself to being used in other business-to-business scenarios that suffer from similar information asymmetries.}}, author = {{Hemmrich, Simon and Nissen, Volker}}, booktitle = {{ Advanced Studies in Consulting Research and Digitalization – A Scientific Update on the Digital Transformation of the Consulting Industry. Springer.}}, editor = {{Nissen, Volker}}, keywords = {{Reputation Systems, Consulting, Design Science Invention, Incentive, Blockchain, Monetary ratings, building trust, reduce information asymmetry consulting, B2B reputation system, consulting risk reduction, supplier evaluation system}}, title = {{{A blockchain-based reputation system for consulting}}}, year = {{2026}}, } @inproceedings{65313, author = {{Ibrahimli, Ulvi and Hemmrich, Simon and Winkelmann, Axel}}, location = {{Münster}}, title = {{{Reputation as a Sociotechnical Design Problem: A Social Systems Theory Lens for Business Reputation Systems}}}, year = {{2026}}, } @article{63100, author = {{Kundisch, Dennis and Wilms, Alexander}}, journal = {{Journal of Small Business and Enterprise Development}}, number = {{1}}, pages = {{49--71}}, title = {{{From mismatch to synergy: how new ventures and family-owned firms navigate cooperation}}}, doi = {{10.1108/JSBED-07-2025-0474}}, volume = {{33}}, year = {{2026}}, } @inproceedings{65660, author = {{Nickerson, Robert C. and Varshney, Upkar and Muntermann, Jan and Kundisch, Dennis}}, booktitle = {{Proceedings of the 32nd Americas Conference on Information Systems (AMCIS 2026), Technology Research, Education, and Opinion (TREO) Talk}}, title = {{{Issues in Taxonomies and Taxonomy Development}}}, year = {{2026}}, } @techreport{65724, author = {{Strich, Franz and Trang, Simon Thanh-Nam}}, pages = {{41}}, title = {{{Arbeitsplatz-KI: Zwölf Gestaltungsanker zur erfolgreichen Ko-Transformation von Mitarbeitenden, Prozessen & Strategie in der Finanzindustrie}}}, year = {{2026}}, } @article{65139, author = {{Jabr, Wael and Gutt, Dominik and Neumann, Jürgen and Kundisch, Dennis}}, journal = {{Information Systems and e-Business Management}}, publisher = {{Springer}}, title = {{{Updating at the Expense of Demand? The Case of Platform Apps}}}, doi = {{10.1007/s1025-026-00723-y}}, year = {{2026}}, } @article{65451, author = {{Ksouri-Gerwien, Christoph and Vorbohle, Christian}}, journal = {{Information Systems and e-Business Management}}, title = {{{Business Model Prototyping and Evaluation from an Ecosystem Perspective: An Actor-based Modeling Framework for Using System Dynamics}}}, year = {{2026}}, } @inproceedings{65756, author = {{Hellweg, Talea Davina and Sandfort, Luc Dana and Reineke, Malte Fabian and Bartelheimer, Christian and Beverungen, Daniel}}, booktitle = {{European Conference on Information Systems (ECIS) 2026 Proceedings}}, number = {{6}}, title = {{{Temporary Fix Or Process Innovation? A Fuzzy-Set Qualitative Comparative Analysis Of Workarounds}}}, year = {{2026}}, } @inproceedings{65764, abstract = {{Information systems (IS) research is increasingly exploring the potential of generative artificial intelligence (GenAI), such as large language models (LLMs). For design science research (DSR), such technologies foster entirely new vistas for the design of IT artifacts that make use of their generative capabilities, but also influence DSR methodology. This shift is much more profound than it has been discussed so far. To identify existing implications of GenAI for design-oriented research in IS, we report results from an integrative literature review of recent DSR publications in leading IS outlets. Thereby, we synthesize five major theoretical challenges that arise when using GenAI in DSR projects: (1) an obscure composition of the artifact, (2) an opaque contextualization of the LLM, (3) a fragile internal consistency of the artifact, (4) a rapid erosion of prescriptive knowledge, and (5) missing methodological guidance. We investigate these challenges and conceptualize a set of three guidelines that inform DSR in the rising era of GenAI. These guidelines support researchers in designing and justifying GenAI-related DSR processes and in precisely articulating the theoretical grounding of their design decisions and evaluation strategies.}}, author = {{zur Heiden, Philipp and Beverungen, Daniel and Bartelheimer, Christian and Breidbach, Christoph}}, booktitle = {{Lecture Notes in Computer Science}}, isbn = {{9783032283122}}, issn = {{0302-9743}}, location = {{Muenster}}, publisher = {{Springer Nature Switzerland}}, title = {{{Design Science Research in an Era of Generative AI—Challenges and Theoretical Guidelines}}}, doi = {{10.1007/978-3-032-28313-9_22}}, volume = {{16606}}, year = {{2026}}, } @inproceedings{65811, author = {{Zapata Gonzalez, David Ricardo}}, booktitle = {{ECIS Conference}}, publisher = {{AIS}}, title = {{{A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support}}}, year = {{2026}}, } @techreport{65818, author = {{Kundisch, Dennis}}, title = {{{DiSerHub Startet in die zweite Phase – Digitale Transformation für die Automobilindustrie}}}, volume = {{16}}, year = {{2026}}, } @article{65476, abstract = {{Service research has evolved into an interdisciplinary research field that bridges diverse disciplines, including information systems (IS) and marketing. Nearly two decades ago, the service system concept was introduced as a foundational abstraction in service research, drawing on ideas from the service-dominant logic (S-D logic) of marketing. Despite its widespread adoption in service research, particularly in the IS discipline, the service system concept lacks a solid theoretical foundation. This has resulted in conceptual ambiguity and overlap with related constructs, such as service ecosystems. Moreover, it has largely remained a static analytical lens, insufficiently capturing dynamic service phenomena, including value co-creation and co-destruction, as well as the emergence of institutional arrangements. To address these limitations, we propose Luhmann’s systems theory (LST) as a robust framework for conceptualizing service systems as autopoietic (self-creating) systems, in which communication serves as the fundamental mechanism that drives value co-creation. We derive five theoretical propositions from this re-conceptualization that clarify conceptual ambiguity and allow researchers to explore dynamic service phenomena in greater depth. Given LST’s general approach, our conceptualization provides a theoretically grounded, interdisciplinary foundation for advancing service research.}}, author = {{Beverungen, Daniel and Poeppelbuss, Jens and Hemmrich, Simon and Iqbal, Taskeen}}, issn = {{1019-6781}}, journal = {{Electronic Markets}}, keywords = {{Service system, Service ecosystem, Systems theory, Service research}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Service through communication—Conceptualizing service systems with Luhmann’s systems theory}}}, doi = {{10.1007/s12525-026-00889-w}}, volume = {{36}}, year = {{2026}}, } @inproceedings{65819, author = {{Rinkowski, Alexander and Kundisch, Dennis}}, booktitle = {{Design for Better Futures: Beyond the Science of the Artificial. Prototypes and Research-in-Progress}}, location = {{Münster}}, pages = {{367--374}}, publisher = {{Springer}}, title = {{{Developing AI Literacy of Novice Adult Learners Outside of Formal Education Settings – a Prototype}}}, doi = {{10.1007/978-3-032-28570-6_32}}, volume = {{16607}}, year = {{2026}}, } @article{65857, abstract = {{This paper presents a holistic framework for the transition from diesel to electric bus networks, crucial for meeting EU regulations targeting 100% zero-emission urban buses by 2035. We employ a two-phase solution framework: in phase 1, we solve the Charging Location and Electric Vehicle Scheduling Problem to generate vehicle schedules that are feasible for electric operation; in phase 2, these schedules serve as input to a multi-period transition planning model that minimizes the total cost of ownership while determining fleet replacement and charging infrastructure deployment. Our experiments show that schedules obtained from solving the integrated charging location and vehicle scheduling problem significantly outperform traditional methods, resulting in lower total cost of ownership. Additionally, transition plans reduce local emissions by up to 85% compared to a diesel-only scenario. We find that vehicle rotations with long distances and sufficient idle time are prioritized for electrification, enabling earlier emission reductions and cost savings. This highlights the importance of adopting vehicle scheduling tailored for electric buses, rather than relying on legacy diesel schedules.}}, author = {{Stumpe, Miriam and Rößler-von Saß, David and Kliewer, Natalia and Schryen, Guido}}, issn = {{2590-1982}}, journal = {{Transportation Research Interdisciplinary Perspectives}}, keywords = {{Electric bus, Multi-period planning, Electric vehicle scheduling, Charging infrastructure, Fleet replacement}}, publisher = {{Elsevier BV}}, title = {{{Impact of vehicle scheduling and strategic transition planning on zero-emission bus systems}}}, doi = {{10.1016/j.trip.2026.102008}}, volume = {{38}}, year = {{2026}}, } @article{61366, author = {{Paré, Guy and Wagner, Gerit and Tate, Mary and Schryen, Guido and Templier, Mathieu}}, issn = {{0960-085X}}, journal = {{European Journal of Information Systems}}, number = {{3}}, pages = {{555--579}}, publisher = {{Informa UK Limited}}, title = {{{Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire}}}, doi = {{10.1080/0960085x.2025.2550403}}, volume = {{35}}, year = {{2026}}, } @article{61410, abstract = {{Purpose: The purpose of this study is to identify, analyze, and explain the implications that could arise for service settings if AI systems develop, or are perceived to develop, consciousness – the ability to acknowledge their own existence and the capacity for positive or negative experiences. Design/methodology/approach: This study proposes and explores four hypothetical scenarios in which conscious AI in service could manifest. We contextualize our resulting typology in the health service context and integrate extant literature on technology-enabled service, AI consciousness, and AI ethics into the narrative. Findings: This study provides a unique theoretical contribution to service research in the form of a Type IV theory. It enables future service researchers to apprehend, explain, and predict how functionally conscious AI in service might unfold. Originality: An increasingly prolific public discourse acknowledges that conscious AI systems may emerge. Against this backdrop, this study aims to systematically explore a question that is perhaps the most critical and timely, but also inherently speculative, in relation to AI in service research by introducing much-needed theory and terminology. Practical implications: The ethical use of conscious AI in service could emerge as a distinct competitive advantage in the future. Achieving this outcome involves speculative yet actionable recommendations that include training, guiding, and controlling how humans engage with such systems, developing appropriate wellbeing protocols for functionally conscious AI systems, and establishing AI rights and governance frameworks.}}, author = {{Breidbach, Christoph and Lars-Erik, Casper Ferm and Maglio, Paul and Beverungen, Daniel and Wirtz, Jochen and Twigg, Alex}}, journal = {{Journal of Service Management}}, keywords = {{AI, AI consciousness, AI ethics, service systems}}, number = {{4}}, pages = {{597--621}}, publisher = {{Emerald}}, title = {{{Conscious Artificial Intelligence in Service}}}, doi = {{10.1108/JOSM-12-2024-0536}}, volume = {{37}}, year = {{2026}}, }