Hochschule Konstanz University of Applied Sciences
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Towards a Maturity Model for Adopting Low-Code Development Platforms
Low-Code Development Platforms (LCDPs) enable business and information technology (IT) employees to develop and operate IT solutions. However, adopting LCDPs is challenging as organizations lack strategic orientation and experience. To achieve an organizational maturity that realizes LCDP opportunities and mitigates risks, a structured management approach is necessary. This publication aims to provide a starting point of such an approach by developing a maturity model and deriving key consideration for LCDP adoption. We conduct an exploratory study, involving both practitioners and scientists. The findings indicate that LCDP adoption requires the maturation of 23 capabilities. Initial steps in a practical adoption roadmap include establishing an adaptive LCDP governance and organizational structures. Organizations can then select and operate LCDP(s), empower usage, and integrate them into their enterprise architecture management. The study enhances LCDP research by proposing a theory-based framework and future research considerations. Practitioners can apply the findings to start company-specific LCDP management
Field report on research semester
This document contains the field report on the research semester
Cultural Mapping 4.0 as a tool for visualizing cultural perceptions of a tourist destination – Lake Constance Case Study
The present study uses a combination of digital cultural mapping, participatory mapping, and story maps (coined as Cultural Mapping 4.0) to visualise the Lake Constance region’s culture and to analyse its tourists’ perceptions of its cultural identity. In addition, the spatiotemporally varying culture of the Lake Constance region, how it is perceived by tourists, and the mobility patterns resulting from tourism were investigated. The results indicate that tourists perceive the culture of the Lake Constance region to be synonymous with that of the greater Lake Constance region, and that its cultural identity is a weaker motivator for travel than its nature. The study demonstrates that Cultural Mapping 4.0 makes it possible to deal with tourism related issues from both a scientific and a practical perspective
Wandel durch Handel im neuen Systemwettbewerb – Zeit für eine Truman-Doktrin 2.0?
Der internationale Handel galt lange Zeit als Lokomotive des Wohlstands. Freier Handel sollte nicht nur die wirtschaftliche Entwicklung fördern, sondern auch zur Demokratisierung beitragen. Diese Idee war bereits im Bretton-Woods-System von 1944 verankert, dessen drei zentrale Institutionen – der Internationale Währungsfonds (IWF), die Weltbank und das Allgemeine Zoll- und Handelsabkommen (GATT), später die Welthandelsorganisation (WTO) – als Pfeiler der internationalen Wirtschaftsordnung etabliert wurden. Die Einbindung von Ländern in den Welthandel sollte dabei helfen, westliche demokratische Werte zu verbreiten und Veränderung anzustoßen – Wandel durch Handel
Data-Driven Insights into the Industrial Transformation Literature
This paper addresses the burgeoning challenge of navigating the expansive literature, particularly within industrial transformation and innovation. Given the multidisciplinary nature of this research area, which spans technological, economic, and organizational studies, the volume of relevant publications has grown significantly, necessitating efficient literature review methodologies. In response, the authors advocate for a no-code text mining approach that leverages word embedding, cosine distance calculations, complete linkage hierarchical clustering, and rapid automatic keyword extraction. This methodology is applied to a dataset comprising of 2.742 peer-reviewed journal articles from Scopus, focusing on their abstracts, keywords, and titles as the corpus. Through this approach, the paper systematically dissects the prevailing discourse, identifying key thematic clusters that encapsulate the current research landscape's methodological, technological, security-related, and business-oriented dimensions. The authors highlight a significant emphasis on sustainability, underscoring the integral role of digital technologies in fostering environmental stewardship alongside industrial innovation
Reducing supervision in industrial computer vision tasks
Particularly for manufactured products subject to aesthetic evaluation, the industrial manufacturing process must be monitored, and visual defects detected. For this purpose, more and more computer vision-integrated inspection systems are being used. In optical inspection based on cameras or range scanners, only a few examples are typically known before novel examples are inspected. Consequently, no large data set of non-defective and defective examples could be used to train a classifier, and methods that work with limited or weak supervision must be applied. For such scenarios, I propose new data-efficient machine learning approaches based on one-class learning that reduce the need for supervision in industrial computer vision tasks. The developed novelty detection model automatically extracts features from the input images and is trained only on available non-defective reference data. On top of the feature extractor, a one-class classifier based on recent developments in deep learning is placed. I evaluate the novelty detector in an industrial inspection scenario and state-of-the-art benchmarks from the machine learning community. In the second part of this work, the model gets improved by using a small number of novel defective examples, and hence, another source of supervision gets incorporated. The targeted real-world inspection unit is based on a camera array and a flashing light illumination, allowing inline capturing of multichannel images at a high rate. Optionally, the integration of range data, such as laser or Lidar signals, is possible by using the developed targetless data fusion method
Die neue Nachhaltigkeitsberichterstattung - Welche Anforderungen kommen durch die CSRD auf deutsche Unternehmen zu?
Seit dem 05.01.2023 gilt in der EU die Corporate Sustainability Reporting Directive (CSRD), mit dem Ziel, das Niveau der Nachhaltigkeitsberichterstattung auf das der Lageberichterstattung der Unternehmen zu heben. Dass über Nachhaltigkeitsaspekte berichtet werden muss, ist für Aktiengesellschaften keine Neuerung. Da der Anwendungsbereich der CSRD jedoch deutlich umfassender ist, stehen viele deutsche Unternehmen vor neuen Herausforderungen und Pflichten. Im folgenden Beitrag werden die wesentlichen Änderungen und Implikationen für Unternehmen dargestellt
Modellierung von Wasserturbinen in Modelica
Diese Arbeit beinhaltet die Modellierung von Pelton- und Francis-Turbinen in Modelica. Ziel der Arbeit ist die Implementierung möglichst exakter Simulationsmodelle des Anlagenverhaltens, um die hochschuleigene Simulationsbibliothek der HTWG Konstanz zur Simulation von Wasserkraftanlagen zu befähigen. Neben dem Modellaufbau und der Validierung der Simulationsmodelle mit Literaturdaten werden auch die theoretischen Zusammenhänge zur Beschreibung von Wasserturbinen dargelegt. Die Simulationsergebnisse stimmen mit hervorragender Genauigkeit mit Literatur-Kennfeldern überein
Juristische Arbeitsmethodik
Die vorliegende Abhandlung stellt die Grundlagen der juristischen Arbeitsmethodik vor. Nach einer Einführung zu den juristischen Tätigkeiten und wichtigen (vornehmlich privatrechtlichen) Rechtsgebieten wird die juristische Arbeitsmethodik dargestellt. Im Einzelnen geht es um die Arbeitsschritte, den Aufbau eines juristischen Gutachtens und die Anspruchsprüfung. Zielgruppen sind in erster Linie Studierende von Universitäten, Fachhochschulen, Berufsakademien und anderen Bildungseinrichtungen
Quantifying the saving potential of intelligent thermostats during its use phase in university buildings
In this study, we quantify and compare the energy saving potential of intelligent thermostats in a seminar room under five different scenarios using a combination of thermal simulations and measurements. Coupling the thermostats to occupancy and window contact sensors results to be the most effective installation to maximize energy savings under minimal loss of comfort by lower temperatures