@article{UllrichVladovaMarquartetal.2022,
  author    = {Ullrich, Andr{\´e} and Vladova, Gergana and Marquart, Danny and Braun, Andreas and Gronau, Norbert},
  title     = {An overwiew of benefits and risks in open innovation projects and the influence of intermediary participation, decision-making authority, experience, and position on their perception},
  series = {International journal of innovation management : IJIM},
  volume    = {26},
  journal   = {International journal of innovation management : IJIM},
  number    = {02},
  publisher = {World Scientific Publ.},
  address   = {Singapore},
  issn      = {1363-9196},
  doi       = {10.1142/S1363919622500128},
  pages     = {41},
  year      = {2022},
  abstract  = {This paper presents an exploratory study investigating the influence of the factors (1) intermediary participation, (2) decision-making authority, (3) position in the enterprise, and (4) experience in open innovation on the perception and assessment of the benefits and risks expected from participating in open innovation projects. For this purpose, an online survey was conducted in Germany, Austria and Switzerland. The result of this paper is an empirical evidence showing whether and how these factors affect the perception of potential benefits and risks expected within the context of open innovation project participation. Furthermore, the identified effects are discussed against the theory. Existing theory regarding the benefits and risks of open innovation is expanded by (1) finding that they are perceived mostly independently of the factors, (2) confirming the practical relevance of benefits and risks, and (3) enabling a finer distinction between their degrees of relevance according to respective contextual specifics.},
  language  = {en}
}
@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}
}
@article{GrumSultanowFriedmannetal.2021,
  author    = {Grum, Marcus and Sultanow, Eldar and Friedmann, Daniel and Ulrich, Andre and Gronau, Norbert},
  title     = {Tools des Maschinellen Lernens},
  publisher = {Gito},
  address   = {Berlin},
  isbn      = {978-3-95545-380-0},
  doi       = {10.30844/grum_2020},
  pages     = {143},
  year      = {2021},
  abstract  = {K{\"u}nstliche Intelligenz ist in aller Munde. Immer mehr Anwendungsbereiche werden durch die Auswertung von vorliegenden Daten mit Algorithmen und Frameworks z.B. des Maschinellen Lernens erschlossen. Dieses Buch hat das Ziel, einen {\"U}berblick {\"u}ber gegenw{\"a}rtig vorhandene L{\"o}sungen zu geben und dar{\"u}ber hinaus konkrete Hilfestellung bei der Auswahl von Algorithmen oder Tools bei spezifischen Problemstellungen zu bieten. Um diesem Anspruch gerecht zu werden, wurden 90 L{\"o}sungen mittels einer systematischen Literaturrecherche und Praxissuche identifiziert sowie anschließend klassifiziert. Mit Hilfe dieses Buches gelingt es, schnell die notwendigen Grundlagen zu verstehen, g{\"a}ngige Anwendungsgebiete zu identifizieren und den Prozess zur Auswahl eines passenden ML-Tools f{\"u}r das eigene Projekt systematisch zu meistern.},
  language  = {de}
}
@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}
}
@article{DragičevićUllrichTsuietal.2020,
  author    = {Dragičević, Nikolina and Ullrich, Andr{\´e} and Tsui, Eric and Gronau, Norbert},
  title     = {A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario},
  series = {Knowledge management research \& practice : KMRP},
  volume    = {18},
  journal   = {Knowledge management research \& practice : KMRP},
  number    = {2},
  publisher = {Taylor \& Francis},
  address   = {London [u.a.]},
  issn      = {1477-8238},
  doi       = {10.1080/14778238.2019.1633893},
  pages     = {199 -- 213},
  year      = {2020},
  abstract  = {Technological advancements are giving rise to the fourth industrial revolution - Industry 4.0 -characterized by the mass employment of smart objects in highly reconfigurable and thoroughly connected industrialproduct-service systems. The purpose of this paper is to propose a theory-based knowledgedynamics model in the smart grid scenario that would provide a holistic view on the knowledge-based interactions among smart objects, humans, and other actors as an underlyingmechanism of value co-creation in Industry 4.0. A multi-loop and three-layer - physical, virtual, and interface - model of knowledge dynamics is developedby building on the concept of ba - an enabling space for interactions and theemergence of knowledge. The model depicts how big data analytics are just one component inunlocking the value of big data, whereas the tacit engagement of humans-in-the-loop - theirsense-making and decision-making - is needed for insights to be evoked fromanalytics reports and customer needs to be met.},
  language  = {en}
}
@book{Gronau2020,
  author    = {Gronau, Norbert},
  title     = {Knowledge Modeling and Description Language 3.0},
  publisher = {GITO},
  address   = {Berlin},
  isbn      = {978-3-95545-330-5},
  pages     = {75},
  year      = {2020},
  language  = {de}
}
@article{LassGronau2020,
  author    = {Lass, Sander and Gronau, Norbert},
  title     = {A factory operating system for extending existing factories to Industry 4.0},
  series = {Computers in industry : an international, application oriented research journal},
  volume    = {115},
  journal   = {Computers in industry : an international, application oriented research journal},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0166-3615},
  doi       = {10.1016/j.compind.2019.103128},
  pages     = {8},
  year      = {2020},
  abstract  = {Cyber-physical systems (CPS) have shaped the discussion about Industry 4.0 (I4.0) for some time. To ensure the competitiveness of manufacturing enterprises the vision for the future figures out cyber-physical production systems (CPPS) as a core component of a modern factory. Adaptability and coping with complexity are (among others) potentials of this new generation of production management. The successful transformation of this theoretical construct into practical implementation can only take place with regard to the conditions characterizing the context of a factory. The subject of this contribution is a concept that takes up the brownfield character and describes a solution for extending existing (legacy) systems with CPS capabilities.},
  language  = {en}
}
@misc{WeberTiefenbacherGronau2019,
  author    = {Weber, Edzard and Tiefenbacher, Anselm and Gronau, Norbert},
  title     = {Need for standardization and systematization of test data for job-shop scheduling},
  series = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  number    = {134},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-47222},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-472229},
  pages     = {23},
  year      = {2019},
  abstract  = {The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research. Keywords},
  language  = {en}
}
@article{WeberTiefenbacherGronau2019,
  author    = {Weber, Edzard and Tiefenbacher, Anselm and Gronau, Norbert},
  title     = {Need for Standardization and Systematization of Test Data for Job-Shop Scheduling},
  series = {Data},
  volume    = {4},
  journal   = {Data},
  number    = {1},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2306-5729},
  doi       = {10.3390/data4010032},
  pages     = {21},
  year      = {2019},
  abstract  = {The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research.},
  language  = {en}
}