Institut für Wirtschaftsinformatik
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Publikation Subjective long-term emotional and social effects of recreational MDMA use: the role of setting and intentions(Springer, 2024) Elmer, Timon; Vannoy, Tanya K.; Studerus, Erich; Lyubomirsky, SonjaMDMA is a recreational drug commonly used to enhance euphoria, but it is also used in non-party settings with self-insight or social connection intentions. Yet, little is known about whether distinct consumer groups are formed based on consumption setting and intention. We aimed to characterize different types of recreational MDMA users based on consumption setting and intentions, and to examine their differences in perceptions of long-term social-emotional effects of MDMA use. We analyzed self-reports of 766 individuals (ages 18–61, mostly from Western countries), reporting on their MDMA consumption habits and perceived effects. We used a K-medoids clustering algorithm to identify distinct types of consumption settings and intentions. We identified three setting types – party settings with friends (N = 388), private home settings (N = 132), mixed settings (N = 246) – and three intention types – euphoria and energy (N = 302), self-insight (N = 219), mixed intentions (N = 245). Members of the self-insight and mixed intentions clusters reported considerably more long-term socio-emotional benefits than members of the euphoria and energy cluster. No differences were observed between the setting clusters. In this particular sample, more long-term benefits than harms were reported. Our findings suggest that the long-term social-emotional benefits of MDMA are associated with whether users seek self-insight or have mixed intentions.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Prediction of MDMA response in healthy humans: a pooled analysis of placebo-controlled studies(SAGE, 2021) Studerus, Erich; Vizeli, Patrick; Harder, Samuel; Ley, Laura; Liechti, Matthias EBackground: 3,4-methylenedioxymethamphetamine (MDMA, "ecstasy") is used both recreationally and therapeutically. Little is known about the factors influencing inter- and intra-individual differences in the acute response to MDMA. Effects of other psychoactive substances have been shown to be critically influenced by personality traits and mood state before intake. Methods: We pooled data from 10 randomized, double-blind, placebo-controlled, cross-over studies performed in the same laboratory in 194 healthy subjects receiving doses of 75 or 125mg of MDMA. We investigated the influence of drug dose, body weight, sex, age, drug pre-experience, genetics, personality and mental state before drug intake on the acute physiological and psychological response to MDMA. Results: In univariable analyses, the MDMA plasma concentration was the strongest predictor for most outcome variables. When adjusting for dose per body weight, we found that (a) a higher activity of the enzyme CYP2D6 predicted lower MDMA plasma concentration, (b) a higher score in the personality trait "openness to experience" predicted more perceived "closeness", a stronger decrease in "general inactivation", and higher scores in the 5D-ASC (5 Dimensions of Altered States of Consciousness Questionnaire) scales "oceanic boundlessness" and "visionary restructuralization", and (c) subjects with high "neuroticism" or trait anxiety were more likely to have unpleasant and/or anxious reactions. Conclusions: Although MDMA plasma concentration was the strongest predictor, several personality traits and mood state variables additionally explained variance in the response to MDMA. The results confirm that both pharmacological and non-pharmacological variables influence the response to MDMA. These findings may be relevant for the therapeutic use of MDMA.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Using the fuzzy best worst method for evaluating strategic planning models(MDPI, 2023) Ajripour, Iman; Hanne, ThomasDuring the last few decades, various strategic planning models have been suggested in the literature. It is difficult for a company to decide which of these models is most useful to adopt, as each of them shows different strengths and weaknesses. We consider this problem a multicriteria decision problem and investigate the evaluation of six strategic planning models in the context of smaller and medium-sized manufacturing companies in Iran. We consider a methodology that supports the analysis of the input from several decision-makers based on multiple criteria and assume vagueness in the input data elicited from them. For the purpose considered, the fuzzy best worst method (FBWM) appears appropriate. Based on a literature review, six evaluation criteria for strategic management models are considered: formality, clarity, measurability, objectivity, coverage, and consistency. These criteria are evaluated based on the input provided by thirteen managers using linguistic variables. FBWM is used to provide criteria weights that are used to determine fuzzy scores for the six considered strategic planning models. Finally, a defuzzification of the scores indicates the model by Wright is best suited for the application purpose. A consistency analysis included in FBWM shows that the input provided by the managers is sufficiently consistent.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation “Ick bin een Berlina”: dialect proficiency impacts a robot’s trustworthiness and competence evaluation(Frontiers Research Foundation, 2024) Kühne, Katharina; Herbold, Erika; Bendel, Oliver; Zhou, Yuefang; Fischer, Martin H.Background: Robots are increasingly used as interaction partners with humans. Social robots are designed to follow expected behavioral norms when engaging with humans and are available with different voices and even accents. Some studies suggest that people prefer robots to speak in the user’s dialect, while others indicate a preference for different dialects.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation A measurement instrument for the “ten principles of good BPM”(Emerald, 2023) Badakshan, Peyman; Scholta, Henrik; Schmiedel, Theresa; Brocke, Jan vomThe ten principles of good business process management (BPM) support organizations in planning and scoping the organizations' BPM approach. Derived from literature and expert panels, the principles received much attention both in research and practice. This article develops a measurement instrument to operationalize the principles and to support organizations in measuring the degree to which they incorporate the principles in their BPM approach, that way advancing their BPM capabilities. The authors applied the scale-development methodology, because this methodology is an established approach consisting of various techniques to develop measurement instruments. First, the authors used established techniques to develop such an instrument. Then, the authors assessed the validity and reliability of the developed instrument through a field survey with 345 participants. The authors developed a valid and reliable measurement instrument for the ten principles of good BPM. The field survey's results reveal that the measurement instrument meets all required methodological standards. The instrument, thus, can be applied to help process owners and managers to evaluate their BPM approach and plan future actions based on potential shortcomings. Future research can both use and further develop the instrument, which serves as a conceptualization of the principles. This study is the first to provide a measurement instrument for assessing an organizations' BPM practice against the ten principles of good BPM, which have become established as a much-considered and widely-used source of reference both in academia and practice. The authors also discuss how the instrument compares to and distinguishes from existing approaches to qualify BPM approaches, thus communicating the significance of the instrument.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation @llegra: a chatbot for Vallader(Springer, 2024) Bendel, Oliver; Jabou, DalilExtinct and endangered languages have been preserved primarily through audio conservation and the collection and digitization of scripts and have been promoted through targeted language acquisition efforts. Another possibility would be to build conversational agents like chatbots or voice assistants that can master these languages. This would provide an artificial, active conversational partner which has knowledge of the vocabulary and grammar and allows one to learn with it in a different way. The chatbot, @llegra, with which one can communicate in the Rhaeto-Romanic idiom Vallader was developed in 2023 based on GPT-4. It can process and output text and has voice output. It was additionally equipped with a manually created knowledge base. After laying the conceptual groundwork, this paper presents the preparation and implementation of the project. In addition, it summarizes the tests that native speakers conducted with the chatbot. A critical discussion elaborates advantages and disadvantages. @llegra could be a new tool for teaching and learning Vallader in a memorable and entertaining way through dialog. It not only masters the idiom, but also has extensive knowledge about the Lower Engadine, that is, the area where Vallader is spoken. In conclusion, it is argued that conversational agents are an innovative approach to promoting and preserving languages.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation On the importance of CI/CD practices for database applications(Wiley, 2024) Fluri, Jasmin; Fornari, Fabrizio; Pustulka, ElzbietaContinuous integration and continuous delivery (CI/CD) automate software integration and reduce repetitive engineering work. While the use of CI/CD presents efficiency gains, in database application development, this potential has not been fully exploited. We explore the state of the art in this area, with a focus on current practices, common software tools, challenges, and preconditions that apply to database applications. The work is grounded in a synoptic literature review and contributes a novel generic CI/CD pipeline for database system application development. Our generic pipeline was tailored to three industrial development use cases in which we measured the benefits of integration and deployment automation. The measurements demonstrate clearly that introducing CI/CD had significant benefits. It reduced the number of failed deployments, improved their stability, and increased the number of deployments. Interviews with the developers before and after the implementation of the CI/CD show that the pipeline brings clear benefits to the development team (i.e., a reduced cognitive load). These findings put current database release practices driven by business expectations, such as fixed release windows, in question.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation AAAI-MAKE 2023: Challenges requiring the combination of machine learning and knowledge engineering(Association for the Advancement of Artificial Intelligence, 2023) Martin, Andreas01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Large language models: Expectations for semantics-driven systems engineering(Elsevier, 2024) Buchmann, Robert; Eder, Johann; Fill, Hans-Georg; Frank, Ulrich; Karagiannis, Dimitris; Laurenzi, Emanuele; Mylopoulos, John; Plexousakis, Dimitris; Santos, Maribel YasminaThe hype of Large Language Models manifests in disruptions, expectations or concerns in scientific communities that have focused for a long time on design-oriented research. The current experiences with Large Language Models and associated products (e.g. ChatGPT) lead to diverse positions regarding the foreseeable evolution of such products from the point of view of scholars who have been working with designed abstractions for most of their careers - typically relying on deterministic design decisions to ensure systems and automation reliability. Such expectations are collected in this paper in relation to a flavor of systems engineering that relies on explicit knowledge structures, introduced here as “semantics-driven systems engineering”. The paper was motivated by the panel discussion that took place at CAiSE 2023 in Zaragoza, Spain, during the workshop on Knowledge Graphs for Semantics-driven Systems Engineering (KG4SDSE). The workshop brought together Conceptual Modeling researchers with an interest in specific applications of Knowledge Graphs and the semantic enrichment benefits they can bring to systems engineering. The panel context and consensus are summarized at the end of the paper, preceded by a proposed research agenda considering the expressed positions.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Überlegungen zu Zweier- und Dreierbeziehungen mit Liebespuppen und Sexrobotern(Kohlhammer, 2024) Bendel, Oliver; Roesler, Christian; Bröning, Sonja04A - Beitrag Sammelband