@inproceedings{BenderGrum2021,
  author    = {Bender, Benedict and Grum, Marcus},
  title     = {Gamification and dynamisation of the continous improvement processes},
  series = {International Conference on Electrical, Computer and Energy Technologies},
  booktitle = {International Conference on Electrical, Computer and Energy Technologies},
  publisher = {IEEE},
  address   = {New York},
  doi       = {10.1109/ICECET52533.2021.9698530},
  pages     = {1 -- 7},
  year      = {2021},
  abstract  = {The idea of the continuous improvement process (CIP) helps companies to continuously improve their operation and thereby contributes to their competitiveness. Through digi tization, new potentials emerge to solve known CIP issues. This contribution specifically addresses the individual motivation of employees to contribute to the CIP. Typically, related initiatives lack contributions over time. The use of gamification is a promising way to achieve continuous participation by addressing the individual needs of participants. While the use of extrinsic motivation elements is common in practice, the idea of this approach is to specifically address intrinsic motivations which serve as a long-term motivator. This article contributes to a gam-ification concept for the continuous improvement process. The main results include an adapted CIP, a gamification concept, and a market mechanism. Furthermore, the concept is implemented and demonstrated as a prototype in an online platform.},
  language  = {en}
}
@inproceedings{BenderSzadowiak2021,
  author    = {Bender, Benedict and Szadowiak, Andrzej Marcin},
  title     = {Feature removal on software platforms},
  series = {IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  booktitle = {IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  publisher = {IEEE},
  address   = {New York},
  doi       = {10.1109/ICE/ITMC52061.2021.9570245},
  pages     = {1 -- 9},
  year      = {2021},
  abstract  = {Software platforms allow for the extension of features by third-party contributors. Thereby, platform innovation is an important aspects of platforms attractiveness for users and complementors. While previous research focused the introduction of new features, the aspect of feature removal and discontinued features on software platforms has been disregarded. To explore the phenomenon and motivations for feature removal on software platforms, a review of recent literature is provided. To illustrate the existence of and motivations for feature removal, a case study of the browser platform Mozilla Firefox is presented. The results reveal feature removal to regularly occur on browser platforms for user- and developer-related features. Frequent reasons for feature removal involve unused features, security concerns, and bugs. Related motivations for feature removal are discussed from the platform owner's perspective. Implications for complementors and users are highlighted.},
  language  = {en}
}
@article{PanzerBender2021,
  author    = {Panzer, Marcel and Bender, Benedict},
  title     = {Deep reinforcement learning in production systems},
  series = {International Journal of Production Research},
  volume    = {13},
  journal   = {International Journal of Production Research},
  number    = {60},
  publisher = {Taylor \& Francis},
  address   = {London},
  issn      = {1366-588X},
  doi       = {10.1080/00207543.2021.1973138},
  year      = {2021},
  abstract  = {Shortening product development cycles and fully customizable products pose major challenges for production systems. These not only have to cope with an increased product diversity but also enable high throughputs and provide a high adaptability and robustness to process variations and unforeseen incidents. To overcome these challenges, deep Reinforcement Learning (RL) has been increasingly applied for the optimization of production systems. Unlike other machine learning methods, deep RL operates on recently collected sensor-data in direct interaction with its environment and enables real-time responses to system changes. Although deep RL is already being deployed in production systems, a systematic review of the results has not yet been established. The main contribution of this paper is to provide researchers and practitioners an overview of applications and to motivate further implementations and research of deep RL supported production systems. Findings reveal that deep RL is applied in a variety of production domains, contributing to data-driven and flexible processes. In most applications, conventional methods were outperformed and implementation efforts or dependence on human experience were reduced. Nevertheless, future research must focus more on transferring the findings to real-world systems to analyze safety aspects and demonstrate reliability under prevailing conditions.},
  language  = {en}
}
@inproceedings{LassBender2021,
  author    = {Lass, Sander and Bender, Benedict},
  title     = {Dedicated Data Sovereignty as Enabler for Platform-Based Business Models},
  series = {Proceedings of the 2. Conference on Production Systems and Logistics},
  booktitle = {Proceedings of the 2. Conference on Production Systems and Logistics},
  publisher = {publish-Ing.},
  address   = {Hannover},
  doi       = {10.15488/11299},
  pages     = {382 -- 393},
  year      = {2021},
  abstract  = {The digitalization of value networks holds out the prospect of many advantages for the participating compa- nies. Utilizing information platforms, cross-company data exchange enables increased efficiency of collab- oration and offers space for new business models and services. In addition to the technological challenges, the fear of know-how leakage appears to be a significant roadblock that hinders the beneficial realization of new business models in digital ecosystems. This paper provides the necessary building blocks of digital participation and, in particular, classifies the issue of trust creation within it as a significant success factor. Based on these findings, it presents a solution concept that, by linking the identified building blocks, offers the individual actors of the digital value network the opportunity to retain sovereignty over their data and know-how and to use the potential of extensive networking. In particular, the presented concept takes into account the relevant dilemma, that every actor (e. g. the machine users) has to be able to control his commu- nicated data at any time and have sufficient possibilities for intervention that, on the one hand, satisfy the need for protection of his knowledge and, on the other hand, do not excessively diminish the benefits of the system or the business. Taking up this perspective, this paper introduces dedicated data sovereignty and shows a possible implementation concept.},
  language  = {en}
}
@article{VladovaUllrichBender2021,
  author    = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict},
  title     = {Chancen und Grenzen digitaler Lehre an Hochschulen aus Studierendenperspektive},
  series = {HMD : Praxis der Wirtschaftsinformatik},
  volume    = {58},
  journal   = {HMD : Praxis der Wirtschaftsinformatik},
  publisher = {Springer},
  address   = {Wiesbaden},
  issn      = {2198-2775},
  doi       = {https://doi.org/10.1365/s40702-021-00796-y},
  pages     = {1313 -- 1326},
  year      = {2021},
  abstract  = {The design of qualitative, excellent teaching requires collaboration between teachers and learners. For this purpose, face-to-face teaching benefits from a long-standing tradition, while digital teaching is comparatively still at the beginning of its dissemination. A major developmental step toward the digitization of teaching was achieved in the context of university teaching during the Covid 19 pandemic in spring 2020, when face-to-face teaching was interrupted for months. During this time, important insights into the opportunities and limitations of digital teaching were gained. This paper presents selected results of a study conducted at four German universities and with 875 responses in spring 2020. The study uncovers opportunities and limitations of digital teaching from the students' perspective and against the background of their experience in the completely digital semester. The results are used as a basis for deriving design guidelines for digital teaching and learning offerings. Based on a model for analyzing the design of teaching and learning formats, these indications are structured according to the elements learners, teachers, teaching content, environment and teaching style.},
  language  = {de}
}
@article{GronauBenderBertheauetal.2021,
  author    = {Gronau, Norbert and Bender, Benedict and Bertheau, Clementine and Lauppe, Hannah},
  title     = {Robotic Process Automation statt neuem ERP-System},
  series = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  volume    = {17},
  journal   = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  number    = {1},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  issn      = {1860-6725},
  doi       = {10.30844/ERP_21-1_29-32},
  pages     = {29 -- 32},
  year      = {2021},
  abstract  = {Robotic Process Automation (RPA) steht f{\"u}r die softwareunterst{\"u}tzte Bedienung von Softwarel{\"o}sungen {\"u}ber deren Benutzeroberfl{\"a}che. Das prim{\"a}re Ziel, das mit RPA erreicht werden soll, ist die automatisierte Ausf{\"u}hrung von Routineaufgaben, die bisher einen menschlichen Eingriff erforderten. Das Potenzial von RPA, Prozesse langfristig zu verbessern, ist allerdings stark begrenzt. Die Automatisierung von Prozessen und die {\"U}berbr{\"u}ckung von Medienbr{\"u}chen auf der Front-End-Ebene f{\"u}hrt zu einer Vielzahl von Abh{\"a}ngigkeiten und Bedingungen, die in diesem Beitrag zusammengefasst werden. Der Weg zu einer nachhaltigen Unternehmensarchitektur (bestehend aus Prozessen und Systemen) erfordert offene, adaptive Systeme mit moderner Architektur, die sich durch ein hohes Maß an Interoperabilit{\"a}t auf verschiedenen Ebenen auszeichnen.},
  language  = {de}
}
@incollection{BenderHeine2021,
  author    = {Bender, Benedict and Heine, Moreen},
  title     = {Government as a platform?},
  series = {Electronic government and the information systems perspective},
  booktitle = {Electronic government and the information systems perspective},
  editor    = {K{\"o}, Andrea and Francesconi, Enrico and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail},
  publisher = {Springer International Publishing},
  address   = {Cham},
  isbn      = {978-3-030-86610-5},
  doi       = {10.1007/978-3-030-86611-2_1},
  pages     = {3 -- 20},
  year      = {2021},
  abstract  = {Digital platforms, by their design, allow the coordination of multiple entities to achieve a common goal. Motivated by the success of platforms in the private sector, they increasingly receive attention in the public sector. However, different understandings of the platform concept prevail. To guide the development and further research 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. Despite constitutive elements, the proposed framework for platforms in the public sector may guide future analysis. The analysis framework is applied to platforms of federal states in the European Union.},
  language  = {en}
}
@phdthesis{Bender2021,
  author    = {Bender, Benedict},
  title     = {Platform Coring on Digital Software Platforms},
  series = {Schriften zur Business Analytics und zum Informationsmanagement},
  journal   = {Schriften zur Business Analytics und zum Informationsmanagement},
  publisher = {Springer},
  address   = {Wiesbaden},
  isbn      = {978-3-658-34798-7},
  doi       = {10.1007/978-3-658-34799-4},
  school      = {Universit{\"a}t Potsdam},
  pages     = {XVIII, 252},
  year      = {2021},
  abstract  = {Digital software platforms such as iOS or Android evolve quickly. Through regular updates, their set of built-in (core) features increases. While innovation allows strengthening platforms amidst competition, it can hurt contributors when introducing core features that are already provided by third-party developers (Platform Coring). This book addresses the underexplored phenomenon of Platform Coring and provides strategical guidance for platform owners and third-party contributors. Platform owners are well-advised to carefully consider the benefits and risks for their platform ecosystem. The book contributes by highlighting avenues to employ Platform Coring for the competitive advantage of the platform and ecosystem simultaneously.},
  language  = {en}
}
@incollection{VladovaUllrichBenderetal.2021,
  author    = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert},
  title     = {Yes, we can (?)},
  series = {Technology and innovation in learning, teaching and education : second international conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020 : proceedings},
  booktitle = {Technology and innovation in learning, teaching and education : second international conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020 : proceedings},
  editor    = {Reis, Ars{\´e}nio and Barroso, Jo{\~a}o and Lopes, J. Bernardino and Mikropoulos, Tassos and Fan, Chih-Wen},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-73987-4},
  doi       = {10.1007/978-3-030-73988-1_17},
  pages     = {225 -- 235},
  year      = {2021},
  abstract  = {The COVID-19 crisis has caused an extreme situation for higher education institutions around the world, where exclusively virtual teaching and learning has become obligatory rather than an additional supporting feature. This has created opportunities to explore the potential and limitations of virtual learning formats. This paper presents four theses on virtual classroom teaching and learning that are discussed critically. We use existing theoretical insights extended by empirical evidence from a survey of more than 850 students on acceptance, expectations, and attitudes regarding the positive and negative aspects of virtual teaching. The survey responses were gathered from students at different universities during the first completely digital semester (Spring-Summer 2020) in Germany. We discuss similarities and differences between the subjects being studied and highlight the advantages and disadvantages of virtual teaching and learning. Against the background of existing theory and the gathered data, we emphasize the importance of social interaction, the combination of different learning formats, and thus context-sensitive hybrid learning as the learning form of the future.},
  language  = {en}
}
@inproceedings{BenderBertheauGronau2021,
  author    = {Bender, Benedict and Bertheau, Clementine and Gronau, Norbert},
  title     = {Future ERP Systems},
  series = {Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS 2021)},
  booktitle = {Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS 2021)},
  number    = {2},
  publisher = {Science and Technology Publications},
  address   = {Set{\´u}bal},
  isbn      = {978-989-758-509-8},
  issn      = {2184-4992},
  doi       = {10.5220/0010477307760783},
  pages     = {776 -- 783},
  year      = {2021},
  abstract  = {This paper presents a research agenda on the current generation of ERP systems which was developed based on a literature review on current problems of ERP systems. The problems are presented following the ERP life cycle. In the next step, the identified problems are mapped on a reference architecture model of ERP systems that is an extension of the three-tier architecture model that is widely used in practice. The research agenda is structured according to the reference architecture model and addresses the problems identified regarding data, infrastructure, adaptation, processes, and user interface layer.},
  language  = {en}
}
@article{BenderGronau2021,
  author    = {Bender, Benedict and Gronau, Norbert},
  title     = {Coring on digital software platforms},
  series = {Schriften zur Business Analytics und zum Informationsmanagement},
  journal   = {Schriften zur Business Analytics und zum Informationsmanagement},
  publisher = {Springer},
  address   = {Wiesbaden},
  isbn      = {978-3-658-34798-7},
  issn      = {2946-0670},
  doi       = {10.1007/978-3-658-34799-4_4},
  pages     = {45 -- 77},
  year      = {2021},
  abstract  = {Today's mobile devices are part of powerful business ecosystems, which usually involve digital platforms. To better understand the complex phenomenon of coring and related dynamics, this paper presents a case study comparing iMessage as part of Apple's iOS and WhatsApp. Specifically, it investigates activities regarding platform coring, as the integration of several functionalities provided by third-party applications in the platform core. The paper makes three contributions. First, a systematization of coring activities is developed. Coring modes are differentiated by the amount of coring and application maintenance. Second, the case study revealed that the phenomenon of platform coring is present on digital platforms for mobile devices. Third, the fundamentals of coring are discussed as a first step towards theoretical development. Even though coring constitutes a potential threat for third-party developers regarding their functional differentiation, an idea of what a beneficial partnership incorporating coring activities could look like is developed here.},
  language  = {en}
}
@misc{VladovaUllrichBenderetal.2021,
  author    = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert},
  title     = {Students' Acceptance of Technology-Mediated Teaching - How It Was Influenced During the COVID-19 Pandemic in 2020: A Study From Germany},
  series = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-52161},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-521615},
  pages     = {17},
  year      = {2021},
  abstract  = {In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring-summer 2020 semester. Our study focused on (1) the students' acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study's results and derive short- and long-term implications for science and practice.},
  language  = {en}
}
@article{VladovaUllrichBenderetal.2021,
  author    = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert},
  title     = {Students' acceptance of technology-mediated teaching - How it was influenced during the COVID-19 Pandemic in 2020},
  series = {Frontiers in psychology / Frontiers Research Foundation},
  volume    = {12},
  journal   = {Frontiers in psychology / Frontiers Research Foundation},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2021.636086},
  pages     = {15},
  year      = {2021},
  abstract  = {In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring-summer 2020 semester. Our study focused on (1) the students' acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study's results and derive short- and long-term implications for science and practice.},
  language  = {en}
}
@incollection{BenderThim2021,
  author    = {Bender, Benedict and Thim, Christof},
  title     = {Entering complementary markets on software platforms},
  series = {Platform coring on digital software platforms},
  booktitle = {Platform coring on digital software platforms},
  editor    = {Bender, Benedict},
  publisher = {Springer Gabler},
  address   = {Wiesbaden},
  isbn      = {978-3-658-34798-7},
  doi       = {10.1007/978-3-658-34799-4_7},
  pages     = {149 -- 199},
  year      = {2021},
  abstract  = {Software platforms regularly introduce new features to remain competitive. While platform innovation is considered to be a critical success factor, adding certain features could hurt the ecosystem. If platform owners provide functionality that was previously provided by a contributor, the owners enter complementary product spaces. Complementary market entry frequently occurs on software platforms and is a major concern for third-party developers. Divergent findings on the impact of complementary market entry call for the consideration of additional factors. As prior research neglected the third-party perspective, this contribution aims to address this gap. We explore the use of measures to prevent complementary market entry using a survey approach on browser platforms. The research model is tested with 655 responses among developer from Mozilla Firefox and Google Chrome. To explain countermeasures employment, developer's attitude and perceived likelihood are important. The results reveal that developers employ countermeasures if complementary market entry is assessed negatively and perceived as likely for their extension. Differences among browser platforms concerning complementary market entry are identified. Product spaces of extensions being available on multiple platforms are less likely to be entered and more heavily protected. Implications for research and stakeholders, i.e. platform owners and contributors are discussed.},
  language  = {en}
}
@incollection{BenderThimLinke2021,
  author    = {Bender, Benedict and Thim, Christof and Linke, Felix},
  title     = {Platform coring in the browser domain},
  series = {Platform coring on digital software platforms},
  booktitle = {Platform coring on digital software platforms},
  editor    = {Bender, Benedict},
  publisher = {Springer Gabler},
  address   = {Wiesbaden},
  isbn      = {978-3-658-34798-7},
  doi       = {10.1007/978-3-658-34799-4_6},
  pages     = {119 -- 148},
  year      = {2021},
  abstract  = {Modern browsers are digital software platforms, as they allow third parties to extend functionality by providing extensions. In a highly competitive environment, differentiation through provided functionality is a key factor for browser platforms. As the development of browsers progress, new functions are constantly being released. Browsers could thus enter complementary markets by adding functionality previously provided by third-party extensions, which is referred to as 'platform coring'. Previous studies have missed the perspective of the parties involved. To address this gap, we conducted interviews with third-party and core developers in the security and privacy domain from Firefox and Chrome. This study provides three contributions. First, insights into stakeholder-specific issues concerning coring. Second, measures to prevent coring. Third, strategical guidance for developers and owners. Third-party vendors experienced and core developers confirmed that coring occurs on browser platforms. While developers with extrinsic motivations assess coring negatively, developers with intrinsic motivations perceive coring positively.},
  language  = {en}
}
@article{BenderKoerppen2021,
  author    = {Bender, Benedict and K{\"o}rppen, Tim},
  title     = {Data Warehouse, Data Lake oder Data Platform},
  series = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  volume    = {17},
  journal   = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  number    = {6},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  issn      = {1860-6725},
  pages     = {34 -- 37},
  year      = {2021},
  abstract  = {Die Digitalisierung des deutschen Mittelstandes schreitet weiterhin schleppend voran. So verf{\"u}gt zwar ein wachsender Teil dieser Unternehmen {\"u}ber vereinzelte Informations- und Kommunikationssysteme, die zielf{\"u}hrende Vernetzung und Integration dieser Systeme stellt jedoch weiterhin eine große Aufgabe dar [1]. Besonders vor dem Hintergrund wachsender Bed{\"u}rfnisse f{\"u}r Informationen und Transparenz sehen sich Unternehmen zunehmend mit der analyseorientierten Nutzbarmachung der Unternehmensdaten konfrontiert [2].},
  language  = {de}
}
@inproceedings{HaaseThimBender2021,
  author    = {Haase, Jennifer and Thim, Christof and Bender, Benedict},
  title     = {Expanding modeling notations},
  series = {Business Process Management Workshops. BPM 2021 / Lecture Notes in Business Information Processing},
  booktitle = {Business Process Management Workshops. BPM 2021 / Lecture Notes in Business Information Processing},
  number    = {436},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-94342-4},
  doi       = {10.1007/978-3-030-94343-1_15},
  pages     = {193 -- 196},
  year      = {2021},
  abstract  = {Creativity is a common aspect of business processes and thus needs a proper representation through process modeling notations. However, creative processes constitute highly flexible process elements, as new and unforeseeable outcome is developed. This presents a challenge for modeling languages. Current methods representing creative-intensive work are rather less able to capture creative specifics which are relevant to successfully run and manage these processes. We outline the concept of creative-intensive processes and present an example from a game design process in order to derive critical process aspects relevant for its modeling. Six aspects are detected, with first and foremost: process flexibility, as well as temporal uncertainty, experience, types of creative problems, phases of the creative process and individual criteria. By first analyzing what aspects of creative work modeling notations already cover, we further discuss which modeling extensions need to be developed to better represent creativity within business processes. We argue that a proper representation of creative work would not just improve the management of those processes, but can further enable process actors to more efficiently run these creative processes and adjust them to better fit to the creative needs.},
  language  = {en}
}
@misc{ScheelBender2021,
  author    = {Scheel, Laura and Bender, Benedict},
  title     = {Industrial Internet of Things(IIoT)-Plattformtypen im Maschinen- und Anlagenbau},
  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-60571},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605717},
  pages     = {20},
  year      = {2021},
  abstract  = {Das Angebot digitaler Plattformen ist mittlerweile auch im Maschinen- und Anlagenbau weit verbreitet. Dabei konnte in den letzten Jahren der Trend verzeichnet werden, dass die Herstellerunternehmen von Maschinen und Anlagen nicht mehr ausschließlich physische Produkte ver{\"a}ußern, sondern zus{\"a}tzliche auf das Produkt abgestimmte Dienstleistungen, wie bspw. digitale Services. Dieser Wandel kann einen großen Einfluss auf die Ver{\"a}nderung des Gesch{\"a}ftsmodells haben und je nach Komplexit{\"a}t der digitalen Plattformen unterschiedliche Ausmaße annehmen, die auch strategische Entscheidungen bestimmen k{\"o}nnen. In diesem Beitrag wird eine Klassifizierung der digitalen Plattformen im deutschen Maschinen- und Anlagenbau vorgenommen, mithilfe derer unterschiedliche Plattformtypen auf Grundlage ihrer Funktionszusammensetzung identifiziert werden. Demnach k{\"o}nnen bspw. Plattformen, {\"u}ber die lediglich grundlegende Funktionen wie die Verwaltung von Maschinen angeboten werden, von umfangreicheren Plattformen unterschieden werden, die eine h{\"o}here Komplexit{\"a}t aufweisen und somit einen gr{\"o}ßeren Einfluss auf die Ver{\"a}nderung des Gesch{\"a}ftsmodells haben. Diese Einteilung unterschiedlicher Plattformtypen kann Unternehmen im Maschinen- und Anlagenbau dabei unterst{\"u}tzen, strategische Entscheidungen bez{\"u}glich der Entwicklung und des Angebots digitaler Plattformen zu treffen und eine Einordnung ihrer digitalen Plattform im Wettbewerb vorzunehmen.},
  language  = {de}
}
@article{ScheelBender2021,
  author    = {Scheel, Laura and Bender, Benedict},
  title     = {Industrial Internet of Things(IIoT)-Plattformtypen im Maschinen- und Anlagenbau},
  series = {HMD Praxis der Wirtschaftsinformatik},
  volume    = {59},
  journal   = {HMD Praxis der Wirtschaftsinformatik},
  publisher = {Springer},
  address   = {Wiesbaden},
  issn      = {1436-3011},
  doi       = {10.1365/s40702-021-00810-3},
  pages     = {1131 -- 1148},
  year      = {2021},
  abstract  = {Das Angebot digitaler Plattformen ist mittlerweile auch im Maschinen- und Anlagenbau weit verbreitet. Dabei konnte in den letzten Jahren der Trend verzeichnet werden, dass die Herstellerunternehmen von Maschinen und An- lagen nicht mehr ausschließlich physische Produkte ver{\"a}ußern, sondern zus{\"a}tzliche auf das Produkt abgestimmte Dienstleistungen, wie bspw. digitale Services. Dieser Wandel kann einen großen Einfluss auf die Ver{\"a}nderung des Gesch{\"a}ftsmodells ha- ben und je nach Komplexit{\"a}t der digitalen Plattformen unterschiedliche Ausmaße annehmen, die auch strategische Entscheidungen bestimmen k{\"o}nnen. In diesem Bei- trag wird eine Klassifizierung der digitalen Plattformen im deutschen Maschinen- und Anlagenbau vorgenommen, mithilfe derer unterschiedliche Plattformtypen auf Grundlage ihrer Funktionszusammensetzung identifiziert werden. Demnach k{\"o}nnen bspw. Plattformen, {\"u}ber die lediglich grundlegende Funktionen wie die Verwaltung von Maschinen angeboten werden, von umfangreicheren Plattformen unterschieden werden, die eine h{\"o}here Komplexit{\"a}t aufweisen und somit einen gr{\"o}ßeren Einfluss auf die Ver{\"a}nderung des Gesch{\"a}ftsmodells haben. Diese Einteilung unterschiedli- cher Plattformtypen kann Unternehmen im Maschinen- und Anlagenbau dabei unter- st{\"u}tzen, strategische Entscheidungen bez{\"u}glich der Entwicklung und des Angebots digitaler Plattformen zu treffen und eine Einordnung ihrer digitalen Plattform im Wettbewerb vorzunehmen.},
  language  = {de}
}
@misc{PanzerBenderGronau2021,
  author    = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert},
  title     = {Deep reinforcement learning in production planning and 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      = {2701-6277},
  doi       = {10.25932/publishup-60572},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605722},
  pages     = {13},
  year      = {2021},
  abstract  = {Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions while still guaranteeing high throughputs and robustness against external disruptions. Deep reinforcement learning (RL) algorithms, which already reached impressive success with Google DeepMind's AlphaGo, are increasingly transferred to production systems to meet related requirements. Unlike supervised and unsupervised machine learning techniques, deep RL algorithms learn based on recently collected sensorand process-data in direct interaction with the environment and are able to perform decisions in real-time. As such, deep RL algorithms seem promising given their potential to provide decision support in complex environments, as production systems, and simultaneously adapt to changing circumstances. While different use-cases for deep RL emerged, a structured overview and integration of findings on their application are missing. To address this gap, this contribution provides a systematic literature review of existing deep RL applications in the field of production planning and control as well as production logistics. From a performance perspective, it became evident that deep RL can beat heuristics significantly in their overall performance and provides superior solutions to various industrial use-cases. Nevertheless, safety and reliability concerns must be overcome before the widespread use of deep RL is possible which presumes more intensive testing of deep RL in real world applications besides the already ongoing intensive simulations.},
  language  = {en}
}
@inproceedings{PanzerBenderGronau2021,
  author    = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert},
  title     = {Deep reinforcement learning in production planning and control},
  series = {Proceedings of the Conference on Production Systems and Logistics},
  booktitle = {Proceedings of the Conference on Production Systems and Logistics},
  publisher = {publish-Ing.},
  address   = {Hannover},
  issn      = {2701-6277},
  doi       = {10.15488/11238},
  pages     = {535 -- 545},
  year      = {2021},
  abstract  = {Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions while still guaranteeing high throughputs and robustness against external disruptions. Deep rein- forcement learning (RL) algorithms, which already reached impressive success with Google DeepMind's AlphaGo, are increasingly transferred to production systems to meet related requirements. Unlike supervised and unsupervised machine learning techniques, deep RL algorithms learn based on recently collected sensor- and process-data in direct interaction with the environment and are able to perform decisions in real-time. As such, deep RL algorithms seem promising given their potential to provide decision support in complex environments, as production systems, and simultaneously adapt to changing circumstances. While different use-cases for deep RL emerged, a structured overview and integration of findings on their application are missing. To address this gap, this contribution provides a systematic literature review of existing deep RL applications in the field of production planning and control as well as production logistics. From a performance perspective, it became evident that deep RL can beat heuristics significantly in their overall performance and provides superior solutions to various industrial use-cases. Nevertheless, safety and reliability concerns must be overcome before the widespread use of deep RL is possible which presumes more intensive testing of deep RL in real world applications besides the already ongoing intensive simulations.},
  language  = {en}
}