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Publikation Preparing for the Future: Recommender-Based Personalised Learning Paths for Obtaining Job-Essential Skills(Hochschule für Wirtschaft FHNW, 2024) Bromwich, Andrew; Schlick, SandraThis thesis investigates aligning higher education with job and skill demands driven by the industrial revolution, focusing on FHNW’s master's program in business information systems. It addresses the challenge of equipping graduates with essential skills amid rapidly evolving job requirements due to technological advancements. Evaluated against the OECD Learning Compass 2030 framework, the research emphasizes the integration of skills development.11 - Studentische ArbeitPublikation Competence Framework for Measuring Digital Leadership(Hochschule für Wirtschaft FHNW, 2024) Bechler, Noah; Gatziu Grivas, Stella; Imhof, DenisThis master thesis investigates how a competence framework which enables the measurement and assessment of digital leadership can be created. Digital leadership describes leaders who are capable of formulating a distinct and meaningful vision for the process of digitalization. They have enough skills to implement their vision and inspire their employees.11 - Studentische ArbeitPublikation Healthcare-Centric PIM Architectures: A Conceptual and Practical Evaluation in Switzerland(Hochschule für Wirtschaft FHNW, 2024) Bešić, Omar; Telesko, RainerThis research focuses on developing a versatile Product Information Management (PIM) system IT architecture, adaptable across various domains within the healthcare sector. The aim is to design a customizable PIM system that balances specific needs with overall effectiveness. Key assumptions include simplifying software architecture and emphasizing process-centric development without prioritizing user interface creation. HCI Solutions AG was therefore studied as a pilot for optimizing parapharmacy data management.11 - Studentische ArbeitPublikation Digital Payment Facilitation(Hochschule für Wirtschaft FHNW, 2024) Gubin, Sergi; Asprion, PetraThe primary objective was to address the decision support gap for marketplace platforms regarding in-house payment facilitation and selecting the appropriate licence for this purpose. The research examined the criteria and requirements for in-house payment facilitation and analysed the regulatory landscape and financial licences within the European Union. The research detailed the criteria and requirements essential for marketplace platforms, including regulatory compliance, operational capabilities, and strategic considerations. Based on these insights, an Excel-based decision framework artefact was developed and introduced to assist marketplace platforms in navigating payment facilitation decisions.11 - Studentische ArbeitPublikation Conceptual Model for Agility Promotion(Hochschule für Wirtschaft FHNW, 2024) Grossenbacher, David; Gatziu Grivas, Stella; Grasshoff, GunnarBusiness and academia agree on the significance of agile values, principles and practices. Agility enables organisations to respond to dynamic demands effectively, ensuring resilience and innovation in the contemporary business environment of rapid technological and social change. In this volatile, uncertain, complex, and ambiguous (VUCA) environment, organisations must innovate to meet customer demands and remain resilient against disruptions. Hence, agility is a highly contemporary issue. Digitalisation impacts Swiss SMEs, requiring enhanced agility for success. However, implementing agile practices is challenging, given a misunderstanding of concepts in practice and limited guidance from literature. Existing research highlights that communication can weaken because of larger teams and strict role separation in expanding organisations.11 - Studentische ArbeitPublikation Digital Ecosystem Maturity Model(Hochschule für Wirtschaft FHNW, 2024) Dittrich, Andreas; Gatziu Grivas, Stella; Imhof, DenisThe digital age requires a new type of business model for many companies – the digital ecosystem. Big tech companies such as Amazon, Apple, Google, Microsoft and Alibaba have become very successful with digital ecosystems. Digitization not only offers the opportunity to gain insights from (customer) data in order to identify trends and develop innovative products and services. Digitalization also offers companies the opportunity to provide their customers with unprecedented product and service combinations through collaborative partnerships with a wide range of different actors. However, the topic of digital ecosystems is also complicated and often leads to misunderstandings, not least because of the lack of uniform definitions in science and practice and the fact that everyone has a slightly different understanding of it.11 - Studentische ArbeitPublikation Supporting Decision-Making in Project Management with a 'Case Base' and a Smart Algorithm Operating on It to Make Recommendations(Hochschule für Wirtschaft FHNW, 2024) Alfeeva, Anastasia; Witschel, Hans FriedrichThe research identifies a gap in current project management tools which lack advanced decision-making aids, potentially affecting project success. The thesis proposes the implementation of a smart algorithm that utilises Case-Based Reasoning (CBR) and artificial intelligence (AI) approaches, with the aim of enhancing planning effectiveness and resource management.11 - Studentische ArbeitPublikation Re-Commerce to ensure Circular Economy(Hochschule für Wirtschaft FHNW, 2024) Vögtli, Vanessa; Meyer, MonaThis master's thesis addresses the research question: ‘How can recommerce business models of Swiss medium-sized companies, using the example of Oris SA, support a circular economy?’.11 - Studentische ArbeitPublikation How AI benefits Automation Plat-forms in DevSecOps Environments and their Measurement(Hochschule für Wirtschaft FHNW, 2024) Gehrig, Raphael; Martin, AndreasBy developing a framework to measure the benefits of AI, this research facilitates enhanced strategic planning and informed decision-making. Subsequently, this study addresses five core areas: the challenges in automating IT landscapes, the areas within DevSecOps that benefit most from automation platforms, the methodologies to measure AI benefits, the significance of quantifiable benefits, and the limitations of measuring AI benefits. The employed methodology encompasses a comprehensive literature review, in-depth stakeholder interviews, and an empirical validation of the proposed framework leading to the final conclusion.11 - Studentische ArbeitPublikation Productivity in Software Development(Hochschule für Wirtschaft FHNW, 2024) Flückiger, Thierry Martin; Telesko, RainerThe introduction of ChatGPT by OpenAI and its versatile use cases in software development led to the creation of new tools supporting developers or engineers in their daily tasks. Many well-known software companies have launched their versions of AI assist-ed coding tools. Notably, GitHub Copilot, examined alongside ChatGPT in this thesis, stands out among these innovations. This study evaluates whether access to AI assisted coding tools has a noticeable impact on the productivity of software developers working within a large-scale agile framework.11 - Studentische ArbeitPublikation Conditions for the Use of Artificial Intelligence in Customer Service for Enhanced Efficiency: A Case Study Within Johnson & Johnson Medtech Switzerland(Hochschule für Wirtschaft FHNW, 2024) Cassata, Sabrina; Pilorget, LionelThis thesis revolves around the main research question: “How can AI technologies, particularly predictive analytics, transform customer service processes to increase efficiency within the Medtech industry?” Central to this research is the inquiry about four specific AI technologies, namely predictive analytics, generative AI, computer vision, and natural language processing.11 - Studentische ArbeitPublikation Enhancing non-expert understanding of Artificial Intelligence solutions through an ontology-based approach(Hochschule für Wirtschaft FHNW, 2024) Castratori, Sarah Graziella; Laurenzi, EmanueleTo drive AI understanding and adoption, the vast terms, concepts, and definitions around the many different dimensions and aspects of AI must be demystified for a broader non-tech-focused audience. Such as professionals with higher education who work in a digitalized business environment but have no education in computer science or similar fields. These in this context, called “non-experts” of AI, who are decision-makers and contributors in various industries, could profit from an easy, manageable, and trustworthy way to level up their own knowledge of the AI field. Specifically in the context of relevant business challenges and terms.11 - Studentische ArbeitPublikation An Ontology-based Work System Approach for Knowledge Management in Enterprises(Hochschule für Wirtschaft FHNW, 2024) Garsina, Alise; Laurenzi, EmanueleThis research integrates a work system framework with ontology-based meta-modeling to address knowledge silos and fragmented information in enterprises.11 - Studentische ArbeitPublikation Transparency Trust in Predictive Analytics(Hochschule für Wirtschaft FHNW, 2024) Fischer, Roman; Schlick, SandraPredictive analytics is increasingly important for businesses seeking to improve decision-making and operational efficiency. However, the widespread adoption of these methods is often impeded by issues related to transparency and trust. Many stakeholders view predictive models as overly complex "black boxes," resulting in skepticism and hesitancy to fully integrate these tools into their processes. This thesis explores the critical challenges that hinder transparency and trust in predictive analytics within business contexts.11 - Studentische ArbeitPublikation Track and Trace with digital Products(Hochschule für Wirtschaft FHNW, 2024) Sivasubramaniam, Arcsuta; Hinkelmann, KnutThe study analyzes State Machine Diagrams, Event Condition Action (ECA) rules, and the Case Management Model and Notation (CMMN) to explore the complexities of systems with digital products. A Swiss company has been used to provide practical insights into real-world applications. While digital products rely on automation and event-based methods, physical products require transaction-based events and human intervention.11 - Studentische ArbeitPublikation Sentiment analysis tools tailored to meme stocks(Hochschule für Wirtschaft FHNW, 2024) Gyr, Vivian Luca; Jüngling, StephanThis paper aims to develop a sentiment analysis tool to detect the rise of potential meme stocks in a timely manner.11 - Studentische ArbeitPublikation ChatGPT-4 in Python Education: A Comparative Analysis(Hochschule für Wirtschaft FHNW, 2024) Cenaj, Egzon; Telesko, RainerThe research is structured around key areas: the motivation for using AI in education, its challenges, and a look at ChatGPT-4's potential in a classroom setting. The study will also consider the dynamic nature of AI technology, setting clear boundaries to focus the research and acknowledging students' diverse backgrounds and biases that might affect the findings.11 - Studentische ArbeitPublikation Advancing Pharmacovigilance: An Analysis of the State-of-the-art and the Market Opportunities of Innovative Software for Automated Case Data Intake and Processing(Hochschule für Wirtschaft FHNW, 2024) Braga de Melo, Paulo Humberto; Martin, Andreas; Pande, CharutaIn the current global pharmaceutical landscape, specialized information systems such as Argus Safety, ArisGlobal, Veeva Safety, and RxLogix PVCM Tool play a crucial role in pharmacovigilance (PV). Despite their widespread adoption in pharmaceuticals, these systems have significant limitations, leading to repetitive manual tasks and high operational costs associated with PV case data intake and processing. These inefficiencies present market opportunities for new PV software businesses. By leveraging advanced automation, artificial intelligence, machine learning, and other modern technologies, new solutions can better address these operational challenges. This study examines the global market landscape of leading pharmacovigilance systems, critically assesses their shortcomings, and proposes innovative PV software designed to meet key market needs for case intake and case processing.11 - Studentische ArbeitPublikation Knowledge Graph-based User Stories for Scrum and Agile Work(Hochschule für Wirtschaft FHNW, 2023) Mancuso, Marco Carmelo; Laurenzi, EmanueleWith their user-centric approach and iterative development process, agile software development (ASD) methods, including the widely used Scrum framework, have revolutionised the industry. The use of user stories, brief representations of stakeholder requirements, is essential to the ASD field. However, the lack of a standardised method for expressing user stories presents difficulties for agile practitioners working with end users. This thesis proposes the creation of a domain-specific modelling language (DSML) built on an ontology to create a visual standard for user stories to address the challenge mentioned above. This research aims to add to the body of knowledge regarding ASD by offering a valuable and simple method, especially for Product Owners (POs) and agile practitioners who work in this area. This work successfully addresses several issues related to stakeholder collaboration, ambiguity reduction, and knowledge storage by implementing the DSML, the User Story Modelling Language & Notation (USMN), within the Agile and Ontology-Aided Modelling Environment (AOAME), which stores modelling elements in a knowledge graph. The USMN is developed in this thesis using a Design Science Research methodology to create user stories that are both machine- and human-interpretable.11 - Studentische ArbeitPublikation Exploring the Use of the Retrieval-Augmented Generation for First-Level Software Support: a comparison between PaLM 2 and Llama 2-7B Chat models(Hochschule für Wirtschaft FHNW, 2023) Mourão, Edgard A. Jr.; Martin, Andreas; Pande, CharutaRecent research has shown that language model size is not directly linked to its performance.11 - Studentische Arbeit