The present study proposes a framework for university students’ metaverse technologies in education acceptance and intention to use. The study is based on the Technology Acceptance Model (TAM). Data used are coming from two universities and are compared to each other. 311 university students from The …

This paper proposes an innovative method for factor analyzing data that potentially contains individual response bias. Past methods include the use of “ipsative” data, or, related to that, “ipsatized” data. Unfortunately, factor analysis as the main method used for analyzing the dimensionality of data, …

This paper investigates the impact of sustainable supply chain activities on the profitability amongst 62 Euronext listed firms active in the food industry of nine European countries during 2019-20. We first define sustainability in the supply chain, and then outline KPIs to measure it with a focus on …

Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …

The growth of so-called hyperlocal media has created new challenges for research, blurring some of the classic boundaries of local journalism and traditional media. In this chapter we try to understand the role hyperlocal media have in the local media ecosystem by focusing on two European countries: …

Innovations in digital storytelling techniques have spurred on the development of new journalistic and audience practices. The production processes of interactive and immersive journalistic narratives are highly technological and require specialist knowledge of both journalism and design, and require …

This research aims to contribute to a better understanding of strategic collaborations between work-integration social enterprises (WISEs) and for-profit enterprises (FPEs) with the joint objective to improve labour market opportunities for vulnerable groups. We find that most collaborations strive towards …

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 …

It is expected that future transportation technologies will positively impact how passengers travel to their destinations. Europe aims to integrate air transport into the overall multimodal transport network to provide better service to passengers, while reducing travel time and making the network more …