Presentation of the paper under the same name at the INCOSE SySTEAM: 2023 Inaugural Conference

Design education has a nuanced relationship with examples. Although they are considered useful teaching tools, their use is often restricted to illustrating the design theories and principles around which the curriculum is structured. In contrast, professional designers view examples as autonomous entities …

Purpose: Small and medium-sized entities (SMEs) operating in the alternative financing sector are typically heterogenous in nature making them differ greatly from traditional banks. Where traditional banks must comply with strict banking regulations, developing uniform regulations for the alternative …

Purpose The aim of this study is to provide insights into how the purchasing function can increase the maturity of smart maintenance management (SMM) in construction clients by (1) assessing current SMM maturity and (2) developing an adapted service triad for purchasing's meaningful involvement in SMM. …

Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Commission’s proposed Artificial Intelligence Act (AIA) necessitates, under certain conditions, that application of such models …

With the proliferation of misinformation on the web, automatic methods for detecting misinformation are becoming an increasingly important subject of study. If automatic misinformation detection is applied in a real-world setting, it is necessary to validate the methods being used. Large language models …

This paper explores the intersection of Human-Comput- er Integration (HInt) and Critical Disability Studies (CDS) to explore how a posthumanistic epistemology in design can produce knowledge and know-how for the application do- mains of Health and Well-being. To use disability as a catalyst for innovation, …

This paper presents a Decision Support System (DSS) that helps companies with corporate reputation (CR) estimates of their respective brands by collecting provided feedbacks on their products and services and deriving state-of-the-art key performance indicators. A Sentiment Analysis Engine (SAE) is at …

This work explores the potential of doing collaborative data physicalization for discussing (un)sustainable practices. For this purpose, it draws on experiences from several data physicalization workshops during the period of 2018-2022, conducted in Amsterdam, The Netherlands, which were available to …