@article{17094, abstract = {{In reaction to the productivity challenges that hospitals around the world have faced, some hospitals have begun to move towards a process-oriented organization of care in order to enhance productivity. Existing research on process-oriented organization emphasizes severe challenges along the implementation process. However, the literature contains only a small number of documented cases of hospital-wide process-oriented reorganization. Against this background, in this case study, we explain how hospitals can successfully implement organization-wide process orientation. To do so, we conducted an exploratory single case study with semi-structured, face-to-face interviews and document analyses as our primary data-collection methods. We developed a theoretical framework of antecedents, interventions, enablers, barriers, and consequences that explain the trajectory of this successful hospital-reorganization project. We contribute a substantive theory on which other researchers can build and can extend in future studies. Further, in analyzing our unique case, we identify factors that the extant literature has not yet discussed, such as the blackboxing of diagnosis and treatment activities as an enabler. In line with existing literature, we also found that, even in this case, inflexible healthcare IT represented a barrier that hindered the case study in implementing process orientation.}}, author = {{Suomi, Reima and Müller, Oliver and vom Brocke, Jan}}, issn = {{1532-3416}}, journal = {{Journal of Information Technology Theory and Application}}, number = {{4}}, pages = {{3}}, title = {{{Hospital-wide Process-oriented Organization of Care: The Case of Turku University Central Hospital}}}, volume = {{19}}, year = {{2018}}, } @inproceedings{17099, abstract = {{Data-driven decision making (DDD) refers to organizational decision-making practices that emphasize the use of data and statistical analysis instead of relying on human judgment only. Various empirical studies provide evidence for the value of DDD, both on individual decision maker level and the organizational level. Yet, the path from data to value is not always an easy one and various organizational and psychological factors mediate and moderate the translation of data-driven insights into better decisions and, subsequently, effective business actions. The current body of academic literature on DDD lacks prescriptive knowledge on how to successfully employ DDD in complex organizational settings. Against this background, this paper reports on an action design research study aimed at designing and implementing IT artifacts for DDD at one of the largest ship engine manufacturers in the world. Our main contribution is a set of design principles highlighting, besides decision quality, the importance of model comprehensibility, domain knowledge, and actionability of results.}}, author = {{Thiess, Tiemo and Müller, Oliver}}, booktitle = {{European Conference on Information Systems}}, title = {{{Towards Design Principles for Data-Driven Decision Making–An Action Design Research Project in the Maritime Industry}}}, year = {{2018}}, } @article{53776, author = {{Benetou, V. and Orfanos, P. and Feskanich, D. and Michaëlsson, K. and Pettersson-Kymmer, U. and Byberg, L. and Eriksson, S. and Grodstein, F. and Wolk, A. and Jankovic, N. and de Groot, L. C. P. G. M and Boffetta, P. and Trichopoulou, A.}}, issn = {{0937-941X}}, journal = {{Osteoporosis International}}, number = {{7}}, pages = {{1591--1599}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Mediterranean diet and hip fracture incidence among older adults: the CHANCES project}}}, doi = {{10.1007/s00198-018-4517-6}}, volume = {{29}}, year = {{2018}}, } @inproceedings{8575, abstract = {{The transition from high school to university mathematics has proven to be difficult for many students but especially for pre-service secondary teachers. To support these students at mastering this transition, various universities have introduced support measures of various kinds. The WiGeMath project developed a taxonomy that makes it possible to describe and compare these measures concerning their goals as well as their frame characteristics. We will exemplify the use of the taxonomy in the description of one specific innovative measure that was part of the WiGeMath evaluations. Moreover, we will present first results concerning the goal-fulfilment of this measure concerning affective characteristics of the student cohort and their predominant beliefs.}}, author = {{Kuklinski, Christiane and Leis, Elena and Liebendörfer, Michael and Hochmuth, Reinhard and Biehler, Rolf and Lankeit, Elisa and Neuhaus, Silke and Schaper, Niclas and Schürmann, Mirko}}, booktitle = {{Proceedings of the Second Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2018, 5-7 April 2018)}}, editor = {{Durand-Guerrier, V. and Hochmuth, R. and Goodchild, S. and Hogstad, N.M.}}, keywords = {{Beliefs., Motivational developments, Novel approaches to teaching, Teacher education, Transition to and across university mathematics}}, pages = {{527--536}}, publisher = {{INDRUM Network, University of Agder}}, title = {{{Evaluating Innovative Measures in University Mathematics – The Case of Affective Outcomes in a Lecture focused on Problem-Solving}}}, year = {{2018}}, } @techreport{42623, author = {{Fuchs, Christian}}, title = {{{netCommons Political and Ethical Guidelines for an Alternative Internet. EU Horizon 2020 Project netCommons, Deliverable 4.4 (December 2018)}}}, year = {{2018}}, } @inbook{57891, abstract = {{This article provides an insight into a qualitative research project concerning music educational practices with mobile music technologies. Based on social systems theory, this grounded-theory study observes how groups in two extracurricular music classes construct different technologies (e. g., iPads, mixers, ear phones) within the emergence of (reflexive) expectations as social structures. The results reveal five categories of technologies: technology as an instrument-toy-alternator that supports motivation, as a medium for knowledge and learning, as an adjusting device used for socio-aesthetic decision making, as a didactical tool for task-based situations, and as an isolator for inner differentiation by focusing aural perception. (DIPF/Orig.)}}, author = {{Godau, Marc}}, booktitle = {{Musikpädagogik und Kulturwissenschaft}}, editor = {{Cvetko, Alexander J. and Rolle, Christian}}, keywords = {{Musical education, Musikpädagogik, Musikunterricht, Deployment of media, Medien, Medieneinsatz, Mobile Computing, Music lessons, Qualitative Forschung, Qualitative research, Teaching of music, Use of media}}, pages = {{237–249}}, publisher = {{Waxmann}}, title = {{{Apps in der musikpädagogischen Praxis. Eine explorative Studie zur kommunikativen Konstruktion von mobilen Technologien im schulischen Nachmittagsbereich}}}, volume = {{38}}, year = {{2018}}, } @article{2465, author = {{Meier, Christian and Kundisch, Dennis and Willeke, Jochen}}, journal = {{Business & Information Systems Engineering}}, number = {{2}}, pages = {{81--95}}, title = {{{Is it Worth the Effort? - A Decision Model to Evaluate Resource Interactions in IS Project Portfolios}}}, volume = {{59}}, year = {{2017}}, } @inproceedings{26550, author = {{Bin, Simon and Westphal, Patrick and Lehmann, Jens and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{2017 {IEEE} International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017}}, editor = {{Nie, Jian-Yun and Obradovic, Zoran and Suzumura, Toyotaro and Ghosh, Rumi and Nambiar, Raghunath and Wang, Chonggang and Zang, Hui and Baeza-Yates, Ricardo and Hu, Xiaohua and Kepner, Jeremy and Cuzzocrea, Alfredo and Tang, Jian and Toyoda, Masashi}}, pages = {{1400--1407}}, publisher = {{{IEEE} Computer Society}}, title = {{{Implementing scalable structured machine learning for big data in the SAKE project}}}, doi = {{10.1109/BigData.2017.8258073}}, year = {{2017}}, } @book{17709, editor = {{Mindt, Ilka and Schäfer, Wilhelm and Sloane, Peter F. E. and Gössling, Bernd and Mehic, Ahmet}}, title = {{{Proceedings of the BHQFHE projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project}}}, year = {{2017}}, } @inbook{17725, author = {{Mindt, Ilka}}, booktitle = {{Proceedings of the BHQFHE projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project}}, editor = {{Schäfer, Wilhelm and Sloane, Peter and Mindt, Ilka and Gössling, Bernd and Mehic, Ahmet}}, pages = {{23 -- 26}}, title = {{{Accreditation of Study Programs}}}, year = {{2017}}, } @article{20553, abstract = {{Finding and fixing software vulnerabilities have become a major struggle for most software development companies. While generally without alternative, such fixing efforts are a major cost factor, which is why companies have a vital interest in focusing their secure software development activities such that they obtain an optimal return on this investment. We investigate, in this paper, quantitatively the major factors that impact the time it takes to fix a given security issue based on data collected automatically within SAP's secure development process, and we show how the issue fix time could be used to monitor the fixing process. We use three machine learning methods and evaluate their predictive power in predicting the time to fix issues. Interestingly, the models indicate that vulnerability type has less dominant impact on issue fix time than previously believed. The time it takes to fix an issue instead seems much more related to the component in which the potential vulnerability resides, the project related to the issue, the development groups that address the issue, and the closeness of the software release date. This indicates that the software structure, the fixing processes, and the development groups are the dominant factors that impact the time spent to address security issues. SAP can use the models to implement a continuous improvement of its secure software development process and to measure the impact of individual improvements. The development teams at SAP develop different types of software, adopt different internal development processes, use different programming languages and platforms, and are located in different cities and countries. Other organizations, may use the results---with precaution---and be learning organizations.}}, author = {{Ben Othmane, Lotfi and Chehrazi, Golriz and Bodden, Eric and Tsalovski, Petar and Brucker, Achim D.}}, issn = {{2364-1541}}, journal = {{Data Science and Engineering}}, number = {{2}}, pages = {{107--124}}, title = {{{Time for Addressing Software Security Issues: Prediction Models and Impacting Factors}}}, doi = {{https://doi.org/10.1007/s41019-016-0019-8}}, volume = {{2}}, year = {{2017}}, } @inproceedings{20801, abstract = {{Original equipment manufacturers (OEMs) build mechatronic systems using components from several suppliers in industry sectors like automation. The suppliers provide geometrical information via the standardized exchange format STEP, such that the OEM is able to virtually layout the overall system. Beyond the geometrical information, the OEM needs additional technical information for his development tasks. For that reason, STEP provides an extension mechanism for extending and tailoring STEP to project-specific needs. However, extending STEP moreover requires extending several capabilities of all involved tools, causing high development effort. This effort prevents the project-specific utilization of the STEP extension mechanism and forces the organizations to use awkward workarounds. In order to cope with this problem, we present a model-driven approach enabling the flexible specification of STEP extensions and particularly the automatic derivation of the required further capabilities for two involved tools. We illustrate and evaluate the approach with an automation production system example.}}, author = {{Koch, Thorsten and Holtmann, Jörg and Lindemann, Timo}}, booktitle = {{Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development}}, title = {{{Flexible Specification of STEP Application Protocol Extensions and Automatic Derivation of Tool Capabilities}}}, doi = {{10.5220/0006137400530064}}, year = {{2017}}, } @techreport{2250, abstract = {{All over the world, firms and governments are increasingly concerned about the rise in tax complexity. To manage it and develop effective simplification measures, detailed information on the current drivers of complexity is required. However, research on this topic is scarce. This is surprising as the latest developments—for example, triggered by the BEPS project—give rise to the conjecture that complexity drivers may have changed, thus questioning the findings of prior studies. In this paper, we shed light on this issue and provide a global picture of the current drivers of tax complexity that multinational corporations face based on a survey of 221 highly experienced tax practitioners from 108 countries. Our results show that prior complexity drivers of the tax code are still relevant, with details and changes of tax regulations being the two most influential complexity drivers. We also find evidence for new relevant complexity drivers emerging from different areas of the tax framework, such as inconsistent decisions among tax officers (tax audits) or retroactively applied tax law amendments (tax enactment). Based on the responses of the practitioners, we develop a concept of tax complexity that distinguishes two pillars, tax code and tax framework complexity, and illustrates the various aspects that should be considered when assessing the complexity of a country’s tax system.}}, author = {{Hoppe, Thomas and Schanz, Deborah and Sturm, Susann and Sureth-Sloane, Caren}}, issn = {{1556-5068}}, keywords = {{Complexity Drivers, International Comparison, Survey, Tax Complexity, Tax Practitioners}}, pages = {{28}}, title = {{{What are the Drivers of Tax Complexity for Multinational Corporations? Evidence from 108 Countries}}}, doi = {{10.2139/ssrn.3046546}}, year = {{2017}}, } @inproceedings{21692, abstract = {{In many branches in the designengineerdepartment, product designs are just variations of existing parts. To bring the additive manufacturing technology closer to the Designer, it is necessary to show them which of their existing, conventionally manufactured parts can be produced with this technology. Apartselection methodology supportsdesigners in the decision whether a part is suitable for additive manufacturingor not. Due to the potential of the technology, which was especially seen in the aerospace industries, many criteria of the methodology were initially adapted for this industry. Furthermore the methodology is based on a quantified weighting system, which comes to a certain subjectivity. For future use, a development towards a less subjective methodology should be accomplished. Through a more detailed adaption for individual industries and a simplification of the input mode, the objectivity of the criteria can be increased. Likewise, the input time can be reduced by simplifying the questioning. A more efficient part selection will be achieved by a better weighting system.In the BMBF project “OptiAMix” this methodology is supposed to be further developed for highly different branches. By a better weighting system, the part selection will be more efficient. Therefore,the willingness for the use of the improved selection andfor the additive manufacturing technology will be increased.}}, author = {{Kruse, A. and Reiher, T. and Koch, R.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{2575--2584}}, title = {{{Integrating AM into existing companies - selection of existing parts for increase of acceptance}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/IntegratingAMintoExistingCompaniesSelection.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{21694, abstract = {{In conventional manufacturing, ramp-up-management describes the planning and organization of the period between finished product development and the achievement of full production capacity for defined products. This classification has to be adapted and restructured by means of product independent and tool-free production in additive manufacturing. Therefore ramp-up-management already starts with decisions on the extentof the use of additive manufacturing, includes the building of technology-know-how as well as the technology integration into processes and infrastructure of the company and ends with the attainment of a sufficient process reliability for the AM-machine. This paper focuses on technology integration in processes and infrastructure, which is part of the German research project OptiAMix. In this project, new systems for process state analysis adapted to additive manufacturing and methods for the optimal integration of additive manufacturing are developed. Furthermore ways of using the synergies of existing infrastructures and new innovative production technologies are determined.}}, author = {{Büsching, J. and Koch, R.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{2585--2596}}, title = {{{Ramp-Up-Management in Additive Manufacturing – Technology Integration in existing Business Processes}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/RampUpManagementinAdditiveManufacturingTec.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{4454, abstract = {{ Educational research is often conducted in practical contexts such as schools or higher education institutions and aims to contribute to the development of instructional designs or programs. Consequently, there have been repeated attempts to methodologically integrate the design aspect into educational research leading to concepts such as design-based research. Ideally, design decisions are based on clear evidence, obtained through an analysis of data gathered from the intervention. In actual projects, however, design decisions often have to be taken based on data that is incomplete, ambiguous or not meeting established scientific quality standards. We illustrate and discuss examples of an actual design research project where design decisions had to be taken in such ‘bad data’ contexts. Examples include different mixed methods configurations that helped to increase the interpretability and practical significance of the data. We will discuss methodological variants of ‘mixing’ and triangulation such as combining quantitative and qualitative data or applying different analyses on a dataset. In addition, we discuss limitations regarding the consistency between data, design decisions, and resulting effects}}, author = {{Jenert, Tobias}}, location = {{Tampere}}, title = {{{Using mixed methods to support educational design decisions in ‘bad data’contexts}}}, year = {{2017}}, } @inproceedings{97, abstract = {{Bridging the gap between informal, imprecise, and vague user requirements descriptions and precise formalized specifications is the main task of requirements engineering. Techniques such as interviews or story telling are used when requirements engineers try to identify a user's needs. The requirements specification process is typically done in a dialogue between users, domain experts, and requirements engineers. In our research, we aim at automating the specification of requirements. The idea is to distinguish between untrained users and trained users, and to exploit domain knowledge learned from previous runs of our system. We let untrained users provide unstructured natural language descriptions, while we allow trained users to provide examples of behavioral descriptions. In both cases, our goal is to synthesize formal requirements models similar to statecharts. From requirements specification processes with trained users, behavioral ontologies are learned which are later used to support the requirements specification process for untrained users. Our research method is original in combining natural language processing and search-based techniques for the synthesis of requirements specifications. Our work is embedded in a larger project that aims at automating the whole software development and deployment process in envisioned future software service markets.}}, author = {{van Rooijen, Lorijn and Bäumer, Frederik Simon and Platenius, Marie Christin and Geierhos, Michaela and Hamann, Heiko and Engels, Gregor}}, booktitle = {{2017 IEEE 25th International Requirements Engineering Conference Workshops (REW)}}, isbn = {{978-1-5386-3489-9}}, keywords = {{Software, Unified modeling language, Requirements engineering, Ontologies, Search problems, Natural languages}}, location = {{Lisbon, Portugal}}, pages = {{379--385}}, publisher = {{IEEE}}, title = {{{From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process}}}, doi = {{10.1109/REW.2017.26}}, year = {{2017}}, } @techreport{55843, abstract = {{This report summarizes technical concepts of the Beethovens Werkstatt project, discussing various prototypes and the technical architectures used. The original version at https://beethovens-werkstatt.de/softwareentwicklung-2017/ includes videos not available in the PDF version published on Zenodo.}}, author = {{Kepper, Johannes}}, keywords = {{Musicology, Digital humanities}}, title = {{{Zu den Herausforderungen der Softwareentwicklung im Projekt Beethovens Werkstatt: Dokumentation und Zwischenbilanz (2014–2017)}}}, doi = {{10.5281/ZENODO.13289742}}, year = {{2017}}, } @article{44985, author = {{Brehm, Martin and Kafka, A. and Bamler, M. and Kühne, R. and Schüürmann, G. and Sikk, L. and Burk, J. and Burk, P. and Tamm, T. and Tämm, K. and Pokhrel, S. and Mädler, L. and Kahru, A. and Aruoja, V. and Sihtmäe, M. and Scott-Fordsmand, J. and Sorensen, P. B. and Escorihuela, L. and Roca, C. P. and Fernández, A. and Giralt, F. and Rallo, R.}}, journal = {{Adv. Exp. Med. Biol.}}, pages = {{257--301}}, title = {{{An Integrated Data-Driven Strategy for Safe-by-Design Nanoparticles: The FP7 MODERN Project.}}}, doi = {{10.1007/978-3-319-47754-1_9}}, volume = {{947}}, year = {{2017}}, } @article{44984, author = {{Peschel, C. and Brehm, Martin and Sebastiani, D.}}, journal = {{Polymers}}, pages = {{445}}, title = {{{Polyphilic Interactions as Structural Driving Force Investigated by Molecular Dynamics Simulation (Project 7)}}}, doi = {{10.3390/polym9090445}}, volume = {{9 (9)}}, year = {{2017}}, }