@book{DrummScheuermannWeidner2023, author = {Drumm, Christian and Scheuermann, Bernd and Weidner, Stefan}, title = {Einstieg in SAP S/4HANA® : Gesch{\"a}ftsprozesse, Anwendungen, Zusammenh{\"a}nge - Erkl{\"a}rt am Beispielunternehmen Global Bike}, publisher = {Rheinwerk Verlag}, address = {Bonn}, isbn = {9783836281560 (Print)}, pages = {587 Seiten}, year = {2023}, abstract = {Dieser verst{\"a}ndliche Einstieg in SAP S/4HANA f{\"u}hrt Sie anhand des Beispielunternehmens Global Bike durch die zentralen Abl{\"a}ufe in Vertrieb, Einkauf, Rechnungswesen, Produktion und Lagerverwaltung. Sie werden mit den betriebswirtschaftlichen Grundlagen, den relevanten Organisationsstrukturen und Stammdaten sowie den Prozessen vertraut gemacht. Mithilfe von Praxisbeispielen und Fallstudien sind Sie schon bald SAP-S/4HANA-Profi - f{\"u}r mehr Erfolg in Studium und Beruf!}, language = {de} } @article{HerzwurmKramsPietschetal.2012, author = {Herzwurm, Georg and Krams, Benedikt and Pietsch, Wolfram and Schockert, Sixten}, title = {Report from the 3rd international workshop on requirements prioritization for customer oriented software development (RePriCo'12)}, series = {ACM SIGSOFT Software Engineering Notes}, volume = {37}, journal = {ACM SIGSOFT Software Engineering Notes}, number = {4}, publisher = {Association for Computing Machinery}, address = {New York}, issn = {0163-5948}, doi = {10.1145/2237796.2237817}, pages = {32 -- 34}, year = {2012}, abstract = {Prioritization is an essential task within requirements engineering to cope with complexity and to establish focus properly. The 3rd Workshop on Requirements Prioritization for customer oriented Software Development (RePriCo'12) focused on requirements prioritization and adjacent themes in the context of customer oriented development of bespoke and standard software. Five submissions have been accepted for the proceedings and for presentation. The report summarizes and points out key findings.}, language = {en} } @incollection{EggertZaehlWolfetal.2023, author = {Eggert, Mathias and Z{\"a}hl, Philipp M. and Wolf, Martin R. and Haase, Martin}, title = {Applying leaderboards for quality improvement in software development projects}, series = {Software Engineering for Games in Serious Contexts}, booktitle = {Software Engineering for Games in Serious Contexts}, editor = {Cooper, Kendra M.L. and Bucchiarone, Antonio}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-33337-8 (Print)}, doi = {10.1007/978-3-031-33338-5_11}, pages = {243 -- 263}, year = {2023}, abstract = {Software development projects often fail because of insufficient code quality. It is now well documented that the task of testing software, for example, is perceived as uninteresting and rather boring, leading to poor software quality and major challenges to software development companies. One promising approach to increase the motivation for considering software quality is the use of gamification. Initial research works already investigated the effects of gamification on software developers and come to promising. Nevertheless, a lack of results from field experiments exists, which motivates the chapter at hand. By conducting a gamification experiment with five student software projects and by interviewing the project members, the chapter provides insights into the changing programming behavior of information systems students when confronted with a leaderboard. The results reveal a motivational effect as well as a reduction of code smells.}, language = {en} } @incollection{FreyerKempt2023, author = {Freyer, Nils and Kempt, Hendrik}, title = {AI-DSS in healthcare and their power over health-insecure collectives}, series = {Justice in global health}, booktitle = {Justice in global health}, editor = {Bhakuni, Himani and Miotto, Lucas}, publisher = {Routledge}, address = {London}, isbn = {9781003399933}, doi = {10.4324/9781003399933-4}, pages = {38 -- 55}, year = {2023}, abstract = {AI-based systems are nearing ubiquity not only in everyday low-stakes activities but also in medical procedures. To protect patients and physicians alike, explainability requirements have been proposed for the operation of AI-based decision support systems (AI-DSS), which adds hurdles to the productive use of AI in clinical contexts. This raises two questions: Who decides these requirements? And how should access to AI-DSS be provided to communities that reject these standards (particularly when such communities are expert-scarce)? This chapter investigates a dilemma that emerges from the implementation of global AI governance. While rejecting global AI governance limits the ability to help communities in need, global AI governance risks undermining and subjecting health-insecure communities to the force of the neo-colonial world order. For this, this chapter first surveys the current landscape of AI governance and introduces the approach of relational egalitarianism as key to (global health) justice. To discuss the two horns of the referred dilemma, the core power imbalances faced by health-insecure collectives (HICs) are examined. The chapter argues that only strong demands of a dual strategy towards health-secure collectives can both remedy the immediate needs of HICs and enable them to become healthcare independent.}, language = {en} } @incollection{EggertMoulen2023, author = {Eggert, Mathias and Moulen, Tobias}, title = {Auswahl von Gesch{\"a}ftsprozessen zur Anwendung von Robotic Process Automation - Vergleich relevanter Kriterien aus Theorie und Praxis}, series = {Robotik in der Wirtschaftsinformatik}, booktitle = {Robotik in der Wirtschaftsinformatik}, editor = {D'Onofrio, Sara and Meinhardt, Stefan}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-39620-6 (Print)}, pages = {107 -- 129}, year = {2023}, abstract = {Die Auswahl der passenden Gesch{\"a}ftsprozesse f{\"u}r eine Automatisierung mittels Robotic Process Automation (RPA) ist f{\"u}r den Erfolg von RPA-Projekten entscheidend. Das vorliegende Kapitel liefert daf{\"u}r Selektionskriterien, die aus einer qualitativen Studie mit elf interviewten RPA-Experten aus dem Versicherungsumfeld resultieren. Das Ergebnis umfasst eine gewichtete Liste von sieben Dimensionen und 51 Prozesskriterien, welche die Automatisierung mit Softwarerobotern beg{\"u}nstigen beziehungsweise deren Nichterf{\"u}llung eine Umsetzung erschweren oder sogar verhindern. Die drei wichtigsten Kriterien zur Auswahl von Gesch{\"a}ftsprozessen f{\"u}r die Automatisierung mittels RPA umfassen die Entlastung der an dem Prozess mitwirkenden Mitarbeiter (Arbeitnehmerentlastung), die Ausf{\"u}hrbarkeit des Prozesses mittels Regeln (Regelbasierte Prozessteuerung) sowie ein positiver Kosten-Nutzen-Vergleich. Auf diesen Ergebnissen aufbauend wird ein Vergleich mit den bereits bekannten Selektionskriterien aus der Literatur erstellt und diskutiert. Praktiker k{\"o}nnen die Ergebnisse verwenden, um eine systematische Auswahl von RPA-relevanten Prozessen vorzunehmen. Aus wissenschaftlicher Perspektive stellen die Ergebnisse eine Grundlage zur Erkl{\"a}rung des Erfolgs und Misserfolgs von RPA-Projekten dar.}, language = {de} } @inproceedings{KohlFreyerKraemeretal.2023, author = {Kohl, Philipp and Freyer, Nils and Kr{\"a}mer, Yoka and Werth, Henri and Wolf, Steffen and Kraft, Bodo and Meinecke, Matthias and Z{\"u}ndorf, Albert}, title = {ALE: a simulation-based active learning evaluation framework for the parameter-driven comparison of query strategies for NLP}, series = {Deep Learning Theory and Applications}, booktitle = {Deep Learning Theory and Applications}, editor = {Conte, Donatello and Fred, Ana and Gusikhin, Oleg and Sansone, Carlo}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-39058-6 (Print)}, doi = {10.1007/978-3-031-39059-3_16}, pages = {235 -- 253}, year = {2023}, abstract = {Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to annotators they annotate next instead of a subsequent or random sample. This method is supposed to save annotation effort while maintaining model performance. However, practitioners face many AL strategies for different tasks and need an empirical basis to choose between them. Surveys categorize AL strategies into taxonomies without performance indications. Presentations of novel AL strategies compare the performance to a small subset of strategies. Our contribution addresses the empirical basis by introducing a reproducible active learning evaluation (ALE) framework for the comparative evaluation of AL strategies in NLP. The framework allows the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can focus on developing new, effective AL strategies and deriving best practices for specific use cases. With best practices, practitioners can lower their annotation costs. We present a case study to illustrate how to use the framework.}, language = {en} } @inproceedings{EggertWeber2023, author = {Eggert, Mathias and Weber, Jannik}, title = {What drives the purchase decision in Instagram stores?}, series = {ECIS 2023 Research Papers}, booktitle = {ECIS 2023 Research Papers}, pages = {1 -- 17}, year = {2023}, abstract = {The popularity of social media and particularly Instagram grows steadily. People use the different platforms to share pictures as well as videos and to communicate with friends. The potential of social media platforms is also being used for marketing purposes and for selling products. While for Facebook and other online social media platforms the purchase decision factors are investigated several times, Instagram stores remain mainly unattended so far. The present research work closes this gap and sheds light into decisive factors for purchasing products offered in Instagram stores. A theoretical research model, which contains selected constructs that are assumed to have a significant influence on Instagram user´s purchase intention, is developed. The hypotheses are evaluated by applying structural equation modelling on survey data containing 127 relevant participants. The results of the study reveal that 'trust', 'personal recommendation', and 'usability' significantly influences user's buying intention in Instagram stores.}, language = {en} } @article{KemptFreyerNagel2022, author = {Kempt, Hendrik and Freyer, Nils and Nagel, Saskia K.}, title = {Justice and the normative standards of explainability in healthcare}, series = {Philosophy \& Technology}, volume = {35}, journal = {Philosophy \& Technology}, number = {Article number: 100}, publisher = {Springer Nature}, address = {Berlin}, doi = {10.1007/s13347-022-00598-0}, pages = {1 -- 19}, year = {2022}, abstract = {Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability.}, language = {en} } @inproceedings{FreyerThewesMeinecke2023, author = {Freyer, Nils and Thewes, Dustin and Meinecke, Matthias}, title = {GUIDO: a hybrid approach to guideline discovery \& ordering from natural language texts}, series = {Proceedings of the 12th International Conference on Data Science, Technology and Applications DATA - Volume 1}, booktitle = {Proceedings of the 12th International Conference on Data Science, Technology and Applications DATA - Volume 1}, editor = {Gusikhin, Oleg and Hammoudi, Slimane and Cuzzocrea, Alfredo}, isbn = {978-989-758-664-4}, issn = {2184-285X}, doi = {10.5220/0012084400003541}, pages = {335 -- 342}, year = {2023}, abstract = {Extracting workflow nets from textual descriptions can be used to simplify guidelines or formalize textual descriptions of formal processes like business processes and algorithms. The task of manually extracting processes, however, requires domain expertise and effort. While automatic process model extraction is desirable, annotating texts with formalized process models is expensive. Therefore, there are only a few machine-learning-based extraction approaches. Rule-based approaches, in turn, require domain specificity to work well and can rarely distinguish relevant and irrelevant information in textual descriptions. In this paper, we present GUIDO, a hybrid approach to the process model extraction task that first, classifies sentences regarding their relevance to the process model, using a BERT-based sentence classifier, and second, extracts a process model from the sentences classified as relevant, using dependency parsing. The presented approach achieves significantly better resul ts than a pure rule-based approach. GUIDO achieves an average behavioral similarity score of 0.93. Still, in comparison to purely machine-learning-based approaches, the annotation costs stay low.}, language = {en} } @article{Golland2023, author = {Golland, Alexander}, title = {Immaterieller Schadensersatz bei Datenschutzverst{\"o}ßen - EuGH tariert aus}, series = {NWB - Steuer- und Wirtschaftsrecht}, volume = {2023}, journal = {NWB - Steuer- und Wirtschaftsrecht}, number = {26}, publisher = {NWB Verlag}, address = {Herne}, issn = {0028-3460}, pages = {1845 -- 1845}, year = {2023}, abstract = {Umsatzbasierte Bußgelder - wie sonst nur aus dem Kartellrecht bekannt - waren einer der Gr{\"u}nde, warum die Datenschutz-Grundverordnung (DSGVO) vor ihrem Inkrafttreten f{\"u}r erhebliches Aufsehen sorgte. Die vielfach relevanteren Schadensersatzanspr{\"u}che, die, wie bei „Dieselgate", aufgrund der Vielzahl von betroffenen Personen und der aus Sicht von Rechtsdienstleistern bestehenden Skalierbarkeit mit weitaus h{\"o}heren Einbußen f{\"u}r Unternehmen einhergehen k{\"o}nnen, blieben zun{\"a}chst unbeachtet. Inzwischen ist der Schadensersatzanspruch gem. Art. 82 DSGVO die Vorschrift, die die meisten Vorlagen zum Europ{\"a}ischen Gerichtshof (EuGH) der letzten Jahre hervorgerufen hat. Am 4.5.2023 hat nun der EuGH (Urteil v. 4.5.2023 - Rs. C-300/21, NWB GAAAJ-41389) in einem Grundsatzurteil {\"u}ber zentrale Fragen rund um den Ersatz immaterieller Sch{\"a}den als Folge von Datenschutzverst{\"o}ßen entschieden.}, language = {de} }