@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} } @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{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} } @article{MuellerBahrsGronau2005, author = {M{\"u}ller, Claudia and Bahrs, Julian and Gronau, Norbert}, title = {Evaluation of KMDL Models of Knowledge intensive Business Processes in the Area of Software Engineering}, year = {2005}, abstract = {Process oriented knowledge management focuses on knowledge intensive business processes. For modelling and analysis of these processes the modelling technique KMDL (Knowledge Modeling and Description Language) has been developed. KMDL is a method to describe knowledge flows and conversions along and between business processes. Thereby KMDL identifies existing and utilized information as well as knowledge of individual participants and of the entire company. This research-in-progress contribution introduces a practical example in the field of software engineering, in which KMDL models are evaluated to identify process improvements, e.g. by adding knowledge management activities. Therefore three individual views focussing on selected aspects of interest are introduced.}, language = {en} } @article{MuellerWeberGronau2006, author = {M{\"u}ller, C. and Weber, Edzard and Gronau, Norbert}, title = {Requirements for an integration of methods analyzing social issues in knowledge organizations}, year = {2006}, language = {en} } @article{LaemmerEggertGronau2008, author = {L{\"a}mmer, Anne and Eggert, Sandy and Gronau, Norbert}, title = {A procedure model for a SoA-based integration of enterprise systems}, issn = {1548-1115}, year = {2008}, language = {en} } @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} } @article{GrumBenderAlfaetal.2018, author = {Grum, Marcus and Bender, Benedict and Alfa, A. S. and Gronau, Norbert}, title = {A decision maxim for efficient task realization within analytical network infrastructures}, series = {Decision support systems : DSS ; the international journal}, volume = {112}, journal = {Decision support systems : DSS ; the international journal}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0167-9236}, doi = {10.1016/j.dss.2018.06.005}, pages = {48 -- 59}, year = {2018}, abstract = {Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation.}, language = {en} }