@article{BenderKorjahnGronau2024, author = {Bender, Benedict and Korjahn, Nicolas and Gronau, Norbert}, title = {Erfolgreich auf Handelsplattformen}, series = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen}, volume = {20}, journal = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen}, number = {1}, publisher = {GITO mbH - Verlag f{\"u}r Industrielle Informationstechnik und Organisation}, address = {Berlin}, issn = {1860-6725}, pages = {76 -- 82}, year = {2024}, abstract = {Obwohl Handelsplattformen zunehmend an Bedeutung gewinnen, besteht im deutschsprachigen Raum ein Mangel an umfassenden Markt{\"u}bersichten. Dadurch fehlt es Verk{\"a}ufern, potenziellen Plattformbetreibern und Kunden an einer soliden Grundlage f{\"u}r fundierte Entscheidungen. Das {\"a}ndern wir mit folgendem Beitrag. Erfahren Sie hier das Wichtigste {\"u}ber den rasant wachsenden Markt der Handelsplattformen.}, language = {de} } @inproceedings{WinterBenderAier2024, author = {Winter, Robert and Bender, Benedict and Aier, Stephan}, title = {Enterprise-level IS research - need, conceptualization, exemplary knowledge contributions and future opportunities}, series = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, editor = {Bui, Tung X.}, publisher = {Hawaii International Conference on System Sciences}, address = {Honolulu, HI}, isbn = {978-0-9981331-7-1}, pages = {6402 -- 6411}, year = {2024}, abstract = {Enterprise solutions, specifically enterprise systems, have allowed companies to integrate enterprises' operations throughout. The integration scope of enterprise solutions has increasingly widened, now often covering customer activities, activities along supply chains, and platform ecosystems. IS research has contributed a wide range of explanatory and design knowledge dealing with this class of IS. During the last two decades, many technological as well as managerial/organizational innovations extended the affordances of enterprise solutions—but this broader scope also challenges traditional approaches to their analysis and design. This position paper presents an enterprise-level (i.e., cross-solution) perspective on IS, discusses the challenges of complexity and coordination for IS design and management, presents selected enterprise-level insights for IS coordination and governance, and explores avenues towards a more comprehensive body of knowledge on this important level of analysis.}, language = {en} } @inproceedings{BenderWinterSchmidtetal.2024, author = {Bender, Benedict and Winter, Robert and Schmidt, Pamela and Narasimhan, Sathya}, title = {Minitrack introduction: Enterprise Ecosystems}, series = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, editor = {Bui, Tung X.}, publisher = {Hawaii International Conference on System Sciences}, address = {Honolulu, HI}, isbn = {978-0-9981331-7-1}, issn = {2572-6862}, pages = {6370 -- 6371}, year = {2024}, abstract = {While Information Systems Research exists at the individual and workgroup levels, research on IS at the enterprise level is less common. The potential synergies between the study of enterprise systems (ES) and related fields have been underexplored and often treated as separate entities. The ongoing challenge is to seamlessly integrate technological advances and align business processes across organizations. While systems integration within an organization is common, changes occur when industry and ecosystem perspectives come into play. The four selected papers address different facets of the future role of enterprise ecosystems, including implementation challenges, ecosystem boundaries, and B2B platform specifics.}, language = {en} } @book{Bender2023, author = {Bender, Benedict}, title = {Plattformbasierte Gesch{\"a}ftsmodelle}, publisher = {Frankfurter Allgemeine Buch}, address = {Frankfurt am Main}, isbn = {978-3-96251-153-1}, pages = {254}, year = {2023}, abstract = {Die Wettbewerbsposition von Unternehmen zukunftsorientiert ausbauenPlattformen als strategisches Gesch{\"a}ftsmodell k{\"o}nnen die unternehmerische Wettbewerbsf{\"a}higkeit verbessern. Mittels eigener Plattformen koordinieren Unternehmen externe Wertsch{\"o}pfung, setzen strategische Impulse am Markt und reduzieren gleichzeitig die Risiken von Innovationen.Die Stellung am Markt festigen, absichern oder ausbauenDer Autor vermittelt einen Eindruck von den Potenzialen plattformbasierter Gesch{\"a}ftsmodelle, wobei er auf m{\"o}gliche Stolpersteine hinweist. Dieses Buch zeigt anhand von Beispielen erfolgreicher Pioniere, welche unternehmerischen Chancen die Integration externer Partner in die Wertsch{\"o}pfungskette mit sich bringt. Zudem bietet es folgende Inhalte:Praxistauglicher Zugang zu den Grundlagen der Plattform{\"o}konomie durch sorgf{\"a}ltig zusammengestellte ChecklistenHandlungsempfehlungen f{\"u}r kleine und mittelst{\"a}ndische Unternehmen f{\"u}r die Realisierung plattformbasierter Gesch{\"a}ftsmodelleEntscheider werden durch das wissenschaftlich-fundierte Vorgehensmodell von der Konzeption bis zur nachhaltigen Umsetzung begleitetPlattformbasierte Gesch{\"a}ftsmodelle - Neue Ans{\"a}tze zur Erweiterung bestehender Businesskonzepte gew{\"a}hrt einen Blick hinter die Kulissen von Plattformen f{\"u}r Industrie und Handel und hilft, m{\"o}gliche Synergien f{\"u}r Unternehmen und Gesch{\"a}fte zu identifizieren und von den M{\"o}glichkeiten der Plattform{\"o}konomie zu profitieren.}, language = {de} } @inproceedings{BoehmeWuttkeBenderetal.2023, author = {B{\"o}hme, Lukas and Wuttke, Tobias and Bender, Benedict and Teusner, Ralf and Baltes, Sebastian and Matthies, Christoph and Perscheid, Michael}, title = {From full-fledged erp systems towards process-centric business process platforms}, series = {Twenty-ninth Americas Conference on Information Systems, Panama, 2023}, booktitle = {Twenty-ninth Americas Conference on Information Systems, Panama, 2023}, publisher = {arXiv.org, Cornell University}, address = {Ithaca, NY}, doi = {10.48550/arXiv.2306.02995}, pages = {10}, year = {2023}, abstract = {Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises.}, language = {en} } @inproceedings{BenderGronauWinter2023, author = {Bender, Benedict and Gronau, Norbert and Winter, Robert}, title = {Minitrack introduction enterprise-level information systems}, series = {Proceedings of the 56th Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 56th Hawaii International Conference on System Sciences}, editor = {Bui, Tung X.}, publisher = {Hawaii International Conference on System Sciences}, address = {Honolulu, HI}, isbn = {978-0-9981331-6-4}, issn = {2572-6862}, pages = {5809 -- 5810}, year = {2023}, abstract = {While Information Systems (IS) Research on the individual and workgroup level of analysis is omnipresent, research on the enterprise-level IS is less frequent. Even though research on Enterprise Systems and their management is established in academic associations and conference programs, enterprise-level phenomena are underrepresented. This minitrack provides a forum to integrate existing research streams that traditionally needed to be attached to other topics (such as IS management or IS governance). The minitrack received broad attention. The three selected papers address different facets of the future role of enterprise-wide IS including aspects such as carbonization, ecosystem integration, and technology-organization fit.}, language = {en} } @misc{PanzerBenderGronau2023, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {A deep reinforcement learning based hyper-heuristic for modular production control}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, issn = {1867-5808}, doi = {10.25932/publishup-60564}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605642}, pages = {24}, year = {2023}, abstract = {In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.}, language = {en} } @article{PanzerBenderGronau2023, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {A deep reinforcement learning based hyper-heuristic for modular production control}, series = {International journal of production research}, journal = {International journal of production research}, publisher = {Taylor \& Francis}, address = {London}, issn = {0020-7543}, doi = {10.1080/00207543.2023.2233641}, pages = {1 -- 22}, year = {2023}, abstract = {In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.}, language = {en} } @article{BenderHeine2022, author = {Bender, Benedict and Heine, Moreen}, title = {Government as a Platform?}, series = {Journal of Data Intelligence}, volume = {3}, journal = {Journal of Data Intelligence}, number = {1}, publisher = {Rinton Press}, address = {New Jersey}, issn = {2577-610X}, doi = {10.26421/JDI3.1-5}, pages = {169 -- 187}, year = {2022}, abstract = {Digital platforms, by their design, allow the coordination of multiple entities to achieve a common goal. In the public sector, different understandings of the platform concept prevail. To guide the development and further re-search a coherent understanding is required. To address this gap, we identify the constitutive elements of platforms in the public sector. Moreover, their potential to coordinate partially autonomous entities as typical for federal organized states is highlighted. This study contributes through a uniform understanding of public service platforms by providing a framework with constitutive elements, that may guide future analysis. Apart from chance regarding coordination, platforms are well suited to support contextual eGovernment targets. Among them is service personalization. Highly individualized service offerings support targets such as No Stop government. To this end, the paper extends the framework for service personalization in the public sector and exemplifies related aspects using a reference case.}, language = {en} } @article{BenderKoerppen2022, author = {Bender, Benedict and K{\"o}rppen, Tim}, title = {Integriert statt isoliert}, series = {Digital business : cloud}, volume = {26}, journal = {Digital business : cloud}, number = {1}, publisher = {WIN-Verlag GmbH \& Co. KG}, address = {Vaterstetten}, issn = {2510-344X}, pages = {26 -- 27}, year = {2022}, abstract = {Dass Daten und Analysen Innovationstreiber sind und nicht mehr nur einen Hygienefaktor darstellen, haben viele Unternehmen erkannt. Um Potenziale zu heben, m{\"u}ssen Daten zielf{\"u}hrend integriert werden. Komplexe Systemlandschaften und isolierte Datenbest{\"a}nde erschweren dies. Technologien f{\"u}r die erfolgreiche Umsetzung von datengetriebenem Management m{\"u}ssen richtig eingesetzt werden.}, language = {de} }