Trust in AI is crucial for effective and responsible use in high-stakes sectors like healthcare and finance. One of the most commonly used techniques to mitigate mistrust in AI and even increase trust is the use of Explainable AI models, which enables human understanding of certain decisions made by …

There are many good reasons to use synthetic data instead of real data for research purposes. These reasons may range from the business sensitiveness of real data to increased cost of collecting real data in accordance with GDPR requirements. In this paper, we elaborate upon the potentials of the Large …

Striving for positive GDP growth often comes at the expense of sustainability indicators, highlighting a crucial dilemma in modern economic development. This empirical study delves into the intricate relationship between sovereign sustainability indicators and GDP growth by using panel data that spans …

This research conducts a meticulous examination of the determinants influencing dividend payout dynamics among firms listed on the Korean Stock Exchange (KSE) from 1995 to 2021, a period characterized by profound economic fluctuations. By leveraging a dynamic panel data model and the Generalized Method …

This study proposes a framework to measure touristification of consumption spaces, consisting of concentration of retail capital, business displacement and standardization of the consumption landscape. This framework is tested using business registration data and rent price estimates for consumption …

This empirical study investigated the relationship between the learning climate and training participation in Dutch organizations and how subsidies and the sharing of investments in time and costs between employers and employees affect this relationship. Our analyses are based on a survey of a representative …

Game-based learning (GBL) and gamification can improve the learning experience of students by making learning more fun, interesting, and motivating. However, integrating games in practice is challenging for many teachers as it requires competences that not necessarily are part of their teaching repertoire. …

Consistency issues limit the sharing of horticultural data across multiple systems, resulting in challenges for users to analyze data effectively across various systems utilizing artificial intelligence technology. Introducing data governance principles can help standardize and unify data practices, …

The focus of this paper is on the generation of food waste by small and micro restaurants, specifically on the perceptions of representatives of these restaurants. Do they perceive this generation of food waste as problematic, and do they perceive that they have enough knowledge about how to minimize …

Purpose This study aims to bring together the available scattered knowledge about teaching and learning in Living Labs within higher education, and to explore their potential for supporting students’ sustainability-oriented transformative learning. Design/methodology/approach A literature review was …