@book{Gronau2022,
  author    = {Gronau, Norbert},
  title     = {Gesch{\"a}ftsprozessmanagement in Wirtschaft und Verwaltung},
  edition   = {3. Aufl.},
  publisher = {Gito},
  address   = {Berlin},
  isbn      = {978-3-95545-399-2},
  pages     = {x, 383},
  year      = {2022},
  abstract  = {Dieses Standardwerk zu Geschäftsprozessmanagement in Wirtschaft und Verwaltung gibt gleichzeitig einen Überblick {\"u}ber den aktuellen Stand der Forschung zu diesem Thema und f{\"u}hrt Interessierte wie Studierende oder Praktiker in das Thema und seine Facetten ein. Aktuelle Entwicklungen wie Robotic Process Automation und Process Mining werden aufgegriffen. Im Mittelpunkt stehen die drei wesentlichen GPM- Blickwinkel Technik, Organisation und Mensch. Aus Sicht der Forschung werden innovative Methoden zur Modellierung und Analyse von Geschäftsprozessen beschrieben. Aus Sicht der Lehre dient das Buch als Einstiegslekt{\"u}re und liefert Ansatzpunkte f{\"u}r die vertiefte Befassung mit einzelnen Aspekten des Geschäftsprozessmanagements. F{\"u}r die Praxis beschreibt dieses Werk die dort bestehenden konzeptionellen und methodischen Hindernisse des Prozessmanagements und zeigt Wege zur Überwindung dieser Hindernisse. Die vorliegende Auflage wurde vollständig {\"u}berarbeitet und stark erweitert, u. a. mit neuen Kapiteln zu Software f{\"u}r das Geschäftsprozessmanagement und zum Change Management.},
  language  = {de}
}
@inproceedings{RojahnGronau2023,
  author    = {Rojahn, Marcel and Gronau, Norbert},
  title     = {Digital platform concepts for manufacturing companies},
  series = {10th International Conference on Future Internet of Things and Cloud (FiCloud)},
  booktitle = {10th International Conference on Future Internet of Things and Cloud (FiCloud)},
  publisher = {IEEE},
  address   = {[Erscheinungsort nicht ermittelbar]},
  isbn      = {979-8-3503-1635-3},
  doi       = {10.1109/FiCloud58648.2023.00030},
  pages     = {149 -- 158},
  year      = {2023},
  abstract  = {Digital Platforms (DPs) has established themself in recent years as a central concept of the Information Technology Science. Due to the great diversity of digital platform concepts, clear definitions are still required. Furthermore, DPs are subject to dynamic changes from internal and external factors, which pose challenges for digital platform operators, developers and customers. Which current digital platform research directions should be taken to address these challenges remains open so far. The following paper aims to contribute to this by outlining a systematic literature review (SLR) on digital platform concepts in the context of the Industrial Internet of Things (IIoT) for manufacturing companies and provides a basis for (1) a selection of definitions of current digital platform and ecosystem concepts and (2) a selection of current digital platform research directions. These directions are diverted into (a) occurrence of digital platforms, (b) emergence of digital platforms, (c) evaluation of digital platforms, (d) development of digital platforms, and (e) selection of digital platforms.},
  language  = {en}
}
@incollection{VladovaGronauRuedian2019,
  author    = {Vladova, Gergana and Gronau, Norbert and R{\"u}dian, Sylvio Leo},
  title     = {Wissenstransfer in Bildung und Weiterbildung},
  series = {Digitale Transformation - gutes Arbeiten und Qualifizierung aktiv gestalten},
  booktitle = {Digitale Transformation - gutes Arbeiten und Qualifizierung aktiv gestalten},
  publisher = {Gito},
  address   = {Berlin},
  isbn      = {978-3-95545-309-1},
  pages     = {89 -- 106},
  year      = {2019},
  language  = {de}
}
@inproceedings{BenderGronau2022,
  author    = {Bender, Benedict and Gronau, Norbert},
  title     = {Introduction to the Minitrack on towards the future of enterprise systems},
  series = {Proceedings of the 55th Hawaii International Conference on System Sciences},
  booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences},
  editor    = {Bui, Tung},
  publisher = {Hawaii International Conference on System Sciences},
  address   = {Honolulu, HI},
  isbn      = {978-0-9981331-5-7},
  doi       = {10.24251/HICSS.2022.869},
  pages     = {7232 -- 7233},
  year      = {2022},
  abstract  = {Enterprise systems have long played an important role in businesses of various sizes. With the increasing complexity of today's business relationships, specialized application systems are being used more and more. Moreover, emerging technologies such as artificial intelligence are becoming accessible for enterprise systems. This raises the question of the future role of enterprise systems. This minitrack covers novel ideas that contribute to and shape the future role of enterprise systems with five contributions.},
  language  = {en}
}
@incollection{Gronau2022,
  author    = {Gronau, Norbert},
  title     = {K{\"u}nstliche Intelligenz in der Produktionssteuerung},
  series = {Handbuch Digitalisierung},
  booktitle = {Handbuch Digitalisierung},
  editor    = {Roth, Stefan and Corsten, Hans},
  publisher = {Verlag Franz Vahlen},
  address   = {M{\"u}nchen},
  isbn      = {978-3-8006-6562-4},
  pages     = {629 -- 650},
  year      = {2022},
  language  = {de}
}
@book{Gronau2021,
  author    = {Gronau, Norbert},
  title     = {ERP-Systeme},
  series = {De Gruyter Studium},
  journal   = {De Gruyter Studium},
  edition   = {4. Auflage},
  publisher = {De Gruyter Oldenbourg},
  address   = {Berlin ; Boston},
  isbn      = {978-3-11-066339-6},
  issn      = {2365-7197},
  doi       = {10.1515/9783110663396},
  pages     = {XIII, 372},
  year      = {2021},
  language  = {de}
}
@inproceedings{GrumBlunkRojahnetal.2020,
  author    = {Grum, Marcus and Blunk, Oliver and Rojahn, Marcel and Fettke, Peter and Gronau, Norbert},
  title     = {Research challenges of knowledge modelling and the outline of a research agenda},
  series = {Knowledge in digital age : IFKAD 2020},
  booktitle = {Knowledge in digital age : IFKAD 2020},
  publisher = {The Arts of Business Institute},
  address   = {Matera, Italy},
  isbn      = {978-88-96687-13-0},
  issn      = {2280-787X},
  year      = {2020},
  language  = {en}
}
@article{SchuefflerThimHaaseetal.2019,
  author    = {Sch{\"u}ffler, Arnulf and Thim, Christof and Haase, Jennifer and Gronau, Norbert and Kluge, Annette},
  title     = {Information processing in work environment 4.0 and the beneficial impact of intentional forgetting on change management},
  series = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology},
  volume    = {64},
  journal   = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology},
  number    = {1},
  publisher = {Hogrefe},
  address   = {G{\"o}ttingen},
  issn      = {0932-4089},
  doi       = {10.1026/0932-4089/a000307},
  pages     = {17 -- 29},
  year      = {2019},
  abstract  = {Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment (N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.},
  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}
}
@article{ThimUllrichEigelshovenetal.2020,
  author    = {Thim, Christof and Ullrich, Andr{\´e} and Eigelshoven, Felix and Gronau, Norbert and Ritter, Ann-Carolin},
  title     = {Crowdsourcing bei industriellen Innovationen},
  series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  volume    = {36},
  journal   = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  number    = {6},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  issn      = {2364-9208},
  doi       = {10.30844/I40M_20-6_S9-13},
  pages     = {9 -- 13},
  year      = {2020},
  abstract  = {Die Innovationst{\"a}tigkeit im industriellen Umfeld verlagert sich durch die Digitalisierung hin zu Produkt-Service-Systemen. Kleine und mittlere Unternehmen haben sich in ihrer Entwicklungst{\"a}tigkeit bisher stark auf die Produktentwicklung bezogen. Der Umstieg auf „smarte" Produkte und die Kopplung an Dienstleistungen erfordert h{\"a}ufig personelle und finanzielle Ressourcen, welche KMU nicht aufbringen k{\"o}nnen. Crowdsourcing stellt eine M{\"o}glichkeit dar, den Innovationsprozess f{\"u}r externe Akteure zu {\"o}ffnen und Kosten- sowie Geschwindigkeitsvorteile zu realisieren. Bei der Integration von Crowdsourcing-Elementen ist jedoch einigen Herausforderungen zu begegnen. Dieser Beitrag zeigt sowohl die Potenziale als auch die Barrieren einer Crowdsourcing-Nutzung im industriellen Umfeld auf.},
  language  = {de}
}