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Institute
Digital transformation initiatives in small and medium-sized enterprises (SME) are often hampered by individual practitioners' perceptions of information and communication technology (ICT). This research employs an educational escape room (ER) game for an intervention towards informed decision-making on ICT adoption in SMEs. ER design and implementation are elaborated and consequently tested with SME practitioners, all embedded in an action-design study based on a qualitative research methodology. The result highlights a trade-off between creating immersive game experiences and achieving learning objectives. Still, the outcome implies an impact on players' perception of ICT integrated in the ER. The findings contribute to the emerging field of serious games for learning and shed light on the potential of game-based interventions for SMEs.
Ubiquitous Music is an interdisciplinary research area that combines methodologies from music, computer science, education, creativity studies, human sciences and engineering.
The Ubiumus 2023 symposium, held at Ulster University and North West Regional College in Derry~Londonderry, Northern Ireland, included contributions on the following topics:
Rapid Prototyping and Live Environments
Ecological Approaches to Ubiquitous Music
Ubiquitous Music Creative Practices, Tools and Influences
The symposium also included a number of artistic contributions and workshops, which are also discussed in the proceedings volume. A number of events (including all paper presentations, an invited lecture, a panel discussion, and a keynote and associated performance) were also documented via video, with a link available in this Proceedings volume.
This paper presents a study on the feasibility of using large language models (LLM) for coding with low-resource and domain-specific programming languages that typically lack the amount of data required for effective LLM processing techniques. This study focuses on the econometric scripting language named hansl of the open-source software gretl and employs a proprietary LLM based on GPT-3.5. Our findings suggest that LLMs can be a useful tool for writing, understanding, improving, and documenting gretl code, which includes generating descriptive docstrings for functions and providing precise explanations for abstract and poorly documented econometric code. While the LLM showcased promoting docstring-to-code translation capability, we also identify some limitations, such as its inability to improve certain sections of code and to write accurate unit tests. This study is a step towards leveraging the power of LLMs to facilitate software development in low-resource programming languages and ultimately to lower barriers to entry for their adoption.
In diesem Whitepaper fokussieren wir uns auf die KI-Verordnung nicht erfasste freiwillige Zertifizierung. Dabei stehen die Interessen und Sichtweisen der Verbraucher*innen im Vordergrund. Als Verbraucher*innen betrachten wir nicht nur die unmittelbaren Nutzer*innen von KI-Systemen, sondern auch Privatpersonen, die indirekt von KI-Ergebnissen betroffen sein können. Zudem berücksichtigen wir Menschen in der Rolle als souveräne Datensubjekte, deren personenbezogene Daten in die Entwicklung von KI-Systemen einfließen. Dieses breite Verständnis des Verbraucher*innenbegriffs entspricht dem Selbstverständnis des Zentrums für vertrauenswürdige Künstliche Intelligenz (ZVKI). Wir stellen Thesen auf, wie freiwillige Zertifizierungen von KI-Systemen für Verbraucher*innen nützlich sein können. Die im Verlauf vorgestellten und begründeten acht Thesen wurden in einer Reihe von interdisziplinären Workshops erarbeitet. Dabei identifizierten wir Herausforderungen einer KI-Zertifizierung aus Verbraucher*innensicht und präzisierten diese iterativ. Die Gruppendiskussionen dienten als Grundlage dieses Whitepapers und bauten auf Erkenntnissen der Fach-Arbeitsgruppe „KI Zertifizierung“ des ZVKI auf. Alle Co-Autor*innen waren an der Erstellung des finalen Texts beteiligt. Die aufgestellten Thesen thematisieren grundlegende Anforderungen an eine KI-Zertifizierung aus einer übergeordneten Perspektive, unabhängig von den spezifischen Details einer KI-Anwendung. Somit liefern sie keine Aussagen zu konkreten Inhalten der Zertifizierung. Detaillierte Empfehlungen setzen eine umfassende Analyse von Einsatzfällen voraus, die in diesem Rahmen nicht geleistet werden kann.
DIN SPEC 92001-3 Artificial Intelligence – Life Cycle Processes and Quality Requirements. Artificial Intelligence has become a game-changer, but its impact must be approached responsibly. This is the third document in a series, and it aims to ensure that AI systems are developed, deployed, and used efficiently, responsibly, and in a trustworthy way. It focuses on “Explainability” – the ability to understand how AI makes decisions. This DIN SPEC 92001-3 provides a domain-independent guide on promoting explainability throughout the AI system’s life cycle. It tackles “opacity”, describing sources and effects of opacity in AI and how explanations can mitigate them. The goal is to foster a better understanding and effective use of Explainable AI across various applications, fostering principles of trust and transparency in AI-based systems. This DIN SPEC is the result of „Zertifizierung von Standard-KI-Anwendungen (Zertifizierte KI project)“ https://www.zertifizierte-ki.de/. The publication is available for free at Beuth Verlag GmbH www.beuth.de - plus the search for "DIN SPEC 92001-3"
This article presents a research outline on the use of microlearning applications to develop digital competencies in Small and Medium-sized Enter-prises (SMEs). The digital transformation of businesses has become essential for their survival, and SMEs need to develop digital competencies (DC) to remain competitive in the market. Microlearning (ML), a form of learning that involves small, bite-sized learning modules, has been gaining popularity in recent years as a way to efficiently and effectively develop skills. Through a semi-systematic literature review approach, our study examines prevalent knowledge in the area of ML and DC and discusses interrelations. As a result, we propose a research roadmap consisting of six research questions targeting four dimensions of ML for DC development in SMEs: 1) context, 2) formats, 3) reward system, and 4) complexity level.
Die digitalen Technologien verändern die Gesellschaft, auch die akademischen Wissen-schaftssysteme sind betroffen. Das erfordert verstärkte Überlegungen zum Einsatz solcher Techno-logien und zu ihrem Einfluss auf Lehre und Studium. Der Beitrag fokussiert die Relevanz von AI-Literacy im Kontext des Einsatzes Generativer KI aus zwei Perspektiven. Zunächst wird die Wahr-nehmung und Bereitschaft von Studierenden, KI-basierte Tools zur automatisierten Textgenerierung zu nutzen, empirisch untersucht. Im zweiten Teil wird ein auf Ko-Kreation ausgerichtetes Lehrkon-zept modelliert, das neben fachlichen auch AI-Literacy-Kompetenzen adressiert. Die Ergebnisse führen zu Handlungsansätzen, insbesondere für Wirtschaftsinformatik-Studiengänge.
Climate change, but also geopolitical circumstances, are moving topics such as energy efficiency and renewable energies more and more into the focus of the population, economy , and politics. As a result, the will to optimize new and existing energy systems extends from private individuals to companies and even entire communities. This work describes the development and usage of a new software called FINEconcepts which creates a digital twin of an energy system. This virtual model can then be used to optimize the energy system based on annual costs, CO2 emissions or other relevant criteria such as self-sufficiency. Because all system components, which include renewable technologies as well, can be added as a building block with chosen but changeable parameters, the software allows the user to explore and awaken interest and understanding of technologies that were previously considered too costly, irrelevant, or unrealistic. Implemented projects in small and large companies as well as in residential areas did prove, that the usage of FINEconcepts leads not only to more efficient energy systems by increasing the use of renewable energy, but also increased knowledge and understanding in terms of energy. Besides economics, ecology and security, understanding is an equally important factor in achieving a sustainable energy supply.
Climate will be decided in the global south Mankind is on a dangerous journey in the Anthropocene. Arriving at a good life for all within planetary boundaries is still possible. But at present, the journey is more likely to lead to an overheating of the Earth. Health and life would then be massively endangered for many living beings - including humans. A positive development is still possible, but it requires a global transformation of the economy and society. The prosperous states and companies are well advised, to respect the interests of the global south and future generations, and to use wisely the considerable financial resources in a cooperation of equals. This book • highlights past carbon emissions and their consequences, • reflects on the main drivers of future emissions, • discusses strategies like green growth, de-growth, • presents market-based instruments like carbon trading and carbon border adjustment and • emphasises the key role played by the emerging countries of the global south. It is not only a matter of justice but furthermore in the interest of the rich countries in the global north to contribute massively to financing a "green leapfrogging" of the global south into a carbon-free prosperity. Failing to achieve it will bring unspeakable losses and suffering to many people all over the planet.
Small Businesses Participating in Digital Platform Ecosystems - A Descriptive Literature Review
(2023)
The emergence of digital multi-sided platforms has disrupted day-to-day business in many industries. Nowadays, many small businesses participate in digital platform (DP) ecosystems and act as value creators or complementors. Investigating the small business perspective does not have a rich tradition in platform research yet. In response, this paper presents a systematic literature review (SLR) analyzing the thematic points of focus and highlighting new avenues for information systems and small business research. We find that objectives related to digital transformation, digital strategy- and business model-development, and DP adoption are fundamental topics in the conjunction of small business and DP ecosystems. Based on the findings, an agenda for future research is developed, including propositions for practice-oriented and human-centered approaches fostering sustilience, innovation capabilities and digital leadership competencies in small businesses facing DP ecosystem participation.
"Digital" is a popular adjective for concepts related to electronic, computerized or networked processes in current research and practice. From an ontological-theoretical perspective, the prevalence of digital things triggers the question, how Digitality itself could be conceptualized. This article studies the ontology of Digitality and consequently discusses Digital Innovation (DI) from a new perspective. First, literature on Digitality is analyzed. Based on the findings, an ontological conceptual framework of Digitality (OCFD) is proposed. It describes four layers of Digitality: physical foundations, virtuality, digital culture and world, and digital metaphysics. From a human perspective, requirements to grasp and embody Digitality are highlighted, as well as the expansion of reality. Finally, Digitality is discussed as a paradigm of DI and exemplary digital phenomena are projected onto the OCFD. This paper contributes to DI research and practice through theory-building towards a better understanding of ontological characteristics and practical implications of Digitality in DI.
Brand value co-creation: field emergence, applications, measurement and future research directions
(2023)
Laws are the reflection of the ethical and moral principles of the society. While the use of technology influences users’ behavior in a pace that is affected by the technology introduction to the market, legal activities can be driven by the society as the results of such interactions. This scenario analysis- based research focuses on a classic but fictional food recommender system and the ethical issues that might occur from its usage. The recommender system is taken here as an example of machine learning-based systems (MLS) that can often be found in the individual, business and administrative applications. The research compares the existing legal solutions, with the focus on the GDPR legislation, and the discovered ethical issues. The ethical analysis is led along the ALTAI principles suggested by the European Commission, the common good approach as well as the general principles constituted in human rights. While the GDPR-based analysis showed that this data- and privacy-based legislation addressed most of the identified ethical issues, questions related to the common good approach in the context of environment and mobility that arise due to the wide spectrum of the MLS usage require further legal discussion. The application of the two approaches shows that conducting the ethical and legal analysis is beneficial for both the designers of such MLS as well as the legal actors. The findings can enhance the design and functions of a user-facing MLS as well as influence or validate legal activities.
Auf dem Weg zu mehr Klimagerechtigkeit Im Bündnis mit dem Globalen Süden Widerstände überwinden
(2023)
Die Menschen sind im Anthropozän auf einer gefährlichen Reise. Das Ziel steht noch nicht fest. Die Ankunft in einem guten Leben für alle innerhalb planetarer Grenzen ist immer noch möglich. Aber zurzeit führt die Reise eher zu einer Überhitzung der Erde. Gesundheit und Leben wären dann für viele Lebewesen – auch für den Menschen – massiv gefährdet. Das Buch behandelt die Fragen: • Wie sind wir in diese Lage geraten? • In welcher Richtung können Auswege liegen? • Welche Hindernisse sind zu überwinden? Es werden Strategien abgewogen und einige überraschende Bündnispartner identifiziert. Geschickt gestaltete Märkte können helfen, die Erderwärmung aufzuhalten. Nur in einer gleicheren und gerechteren Welt könnten alle Menschen gut, aber bescheidener leben. Die Alternative dazu wäre eine übererhitzte, gefährliche Welt. Eine gute Entwicklung ist noch möglich. Sie erfordert eine globale Transformation von Wirtschaft und Gesellschaft. Die wohlhabenden Staaten sind gut beraten, die Interessen des „Globalen Südens“ und der künftigen Generationen zu respektieren – auch durch den klugen Einsatz erheblicher Finanzmittel und eine Kooperation auf Augenhöhe.
Propagation of information technology in the increasingly diverse domains, raises question concerning moral implications. While the number of ethical principles in the IT design is growing, they do not necessarily apply to specific products, which means developers and e.g. purchasing agent need to contextualize them for each specific IT product. This paper describes an actionable artifact that allows assessment of ethical non-functional requirements of an information system through operationalization of ethical values, Ethical Software Assessment Tool (ESAT). It is based on a survey of values that are currently considered in research and practice as well as in legal initiatives in IT context. The ethical approach and principles operationalized in ESAT are presented and discussed.
Illuminated bridges have become important assets to navigable aquatic systems. However, if artificial light at night (ALAN) from illuminated bridges reaches aquatic habitats, such as rivers, it can threaten the river's natural heterogeneity and alter the behavioural responses of migratory fish. Here, via a pilot study, we quantified levels of ALAN at illuminated bridges that cross a river and, propose a conceptual model to estimate its potential implications on two migrating fish species with contrasting life histories. Night-time light measurements on the river Spree in Berlin were performed continuously along a transect and in detail at seven illuminated bridges. Photometric data of the pilot study showed rapidly increased and decreased light levels at several illuminated bridges from which we derived several model illumination scenarios. These illumination scenarios and their potential effect on migrating Atlantic salmon smolts (Salmo salar) and European silver eel (Anguilla anguilla) are presented as a conceptual model, considering illuminated bridges as behavioural barriers to fish migration. ALAN's adverse effects on freshwater habitats must be better researched, understood, managed, and properly communicated to develop future sustainable lighting practices and policies that preserve riverscapes and their biodiversity.
So weit das Auge trägt
(2023)
Sichtweiten in der Atmosphäre reichen von wenigen Metern im Nebel bis zu einigen hundert Kilometern bei extrem guten Fernsichtbedingungen. Die zugrundeliegende Physik geht vom Wahrnehmungskontrast aus. Dieser ändert sich mit der Entfernung entlang der Sichtlinie zwischen Objekt und Auge aufgrund von Lichtstreuung und Absorption an den Bestandteilen der Atmosphäre. Dazu kommt bei der Fernsicht die Refraktion, die es erlaubt, auch über den durch die Kugelform der Erde geometrisch bedingten Horizont hinaus zu sehen.
A unified understanding of terms and their applicability is essential for every scientific discipline: steganography is no exception. Being divided into several domains (for instance, text steganography, digital media steganography, and network steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to some specific applications or areas. A prime attempt towards a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. Six years later, in 2021, the first work towards a pattern-based taxonomy for steganography was proposed. However, this initial attempt still faced several shortcomings, e.g., the lack of patterns for several steganography domains (the work mainly focused on network steganography and covert channels), various terminology issues, and the need of providing a tutorial on how the taxonomy can be used during engineering and scientific tasks, including the paper-writing process.</p>
<p>As the consortium who published this initial 2021-study on steganography patterns, in this paper we present the first comprehensive pattern-based taxonomy tailored to fit all known domains of steganography, including smaller and emerging areas, such as filesystem steganography and cyber-physical systems steganography. Besides, to make our contribution more effective and promote the use of the taxonomy to advance research on steganography, we also provide a thorough tutorial on its utilization. </p>
<p>Our pattern collection is available at <a href="https://patterns.ztt.hs-worms.de/" target="_blank">https://patterns.ztt.hs-worms.de</a>.</p>
Dieser Beitrag entwickelt ein Konzept zur praktischen Umsetzung eines Machine- Learning Verfahrens zum Lösen von Vehicle Routing Problemen im Kontext einer nachhaltigen “Letzte-Meile”-Logistik, welches durch einen Prototyp umgesetzt und getestet wurde. Der Prototyp basiert auf dem “Reinforcement Learning”-System und verwendet als Algorithmus “REINFORCE mit Baseline”. In einer Vergleichsanalyse wurde der Prototyp mit dem bekannten Vertreter Google-OR, anhand von zwei Anwendungsszenarien, verglichen. Der Prototyp überzeugt dabei in der Laufzeit und dem Automatismus. Es konnte festgestellt werden, dass eine Verwendung von Lernenden-Systemen für das Vehicle Routing Problem sich bei nur bei einem größeren Stoppvolumen und einer erweiterten IT-Infrastruktur empfiehlt.