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 …

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 …

Human Resource Development (HRD) finds itself at a critical juncture given the rapidly changing landscape of work and a shift of focus in HRD research and practices. This provides momentum for the HRD discipline to explore new models of workplace learning that exceed the boundaries of one’s own organization. …

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 …

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 …

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: …