In this article, we primarily examine the indirect and direct openness to robot recommendation systems based on a Hungarian survey conducted in 2019 on the financial habits of readers of Portfolio.hu (an online economic portal). We briefly introduce the broader theoretical background of our...

In this paper, we explore the utility of classical neural network-based approaches, originally designed for processing 2D images, in semantic segmentation and object recognition tasks within the context of 3D point cloud images generated from handheld video recordings. Our investigation centers...

The European Parliament released the 2030 Digital Compass, identifying the construction sector as one of the five key ecosystems in the digital transformation process. A Construction 4.0 maturity model (C4M) was created to lead companies through their digital transformation journey. This...

Purpose – Since previous literature provides fragmented and conflicting results about the use of digital data for product innovation, the article aims to comprehensively explore and shed light on how agri-food firms utilise external and internal digital data sources when dealing with different...

In this study, a Neural Network-Enhanced Gene Modification Optimization Technique was introduced for multi- objective energy resource management. Addressing the need for sustainable energy solutions, this technique integrated neural network models as fitness functions, representing an...

Context: In recent years, the focus on sustainable meat production in large-scale pig farming has increased. An essential element is acquiring and evaluating digital data on ecological, outdoor pig housing environments and individuals. Objective: Some of the precision farming Internet of Things...

This study presents a comprehensive spatiotemporal analysis of sea surface temperatures (SST) and surface air temperatures (TAS) across 15 Mediterranean coastal stations, leveraging centennial-scale data to analyze regional climate dynamics. The modeling framework integrates three sequential...

This study investigates ChatGPT's impact on effectiveness, efficiency, and problem-solving among higher education students in law, business informatics, and media and communication. Involving 304 students divided into experimental (using ChatGPT) and control groups for an open-book test, the...

The technological shift we witness today is indicated by the emergence of a global infrastructure combining information systems with the existing physical infrastructure where this integration is increasingly enabled by artificial intelligence (AI). The safety and control of this fast-paced...

Purpose This study aims to extend the dynamic capabilities (DCs) perspective to the project management context. The authors present supporting evidence for analyzing the creation process of DCs during the redesign of the software development process, and they examine the impact of those...