Das Cluster Forst und Holz umfasst die wirtschaftlichen Aktivitäten mit Bezug zur Produktion von Rohholz und der daran anschließenden holzbasierten Wertschöpfung. Im Cluster werden traditionelle Holzverwendungen wie die Herstellung von Schnittholz, Holzwerkstoffen oder Zellstoff sowie der...

Daten sicher teilen ohne sensible Informationen preiszugeben ist die Idealvorstellung des Datenaustausches. Die Europäische Datenstrategie zielt darauf ab, die Datenwirtschaft in Europa auf eine Vorreiterposition zu heben. Dies geschieht durch Regularien, wie dem Data Governance Act, der unter...

Artificial intelligence (AI) is a key driver of the energy transition and sustainable economic development. However, the specific mechanisms through which AI adoption impacts renewable energy production versus consumption remain poorly understood. This study addresses this research gap by...

This research examines the role of the financial sector in advancing the Sustainable Development Goals (SDGs) by promoting access to financial services and leveraging Information and Communication Technologies (ICTs). Utilizing the k-means++ algorithm, we clustered 41 European countries based on...

The introduction of the new delivery model in the 2023-2027 Common Agricultural Policy increased the decision-making and management autonomy of Member States and their regions when implementing Rural Development policies. Thus, understanding the drivers behind allocation choices for rural...

This study investigates the economic role of wine tourism in Nemea, Greece, a prominent Protected Designation of Origin (PDO) wine-producing region. Employing a mixed-methods approach, the research combines interviews with local stakeholders and a structured post-wine-tasting visitor survey to...

The increasing urgency of global sustainability challenges has elevated the role of the United Nations Sustainable Development Goals (SDGs) as benchmarks for both academic research and policy development. Within the European Union, measuring how national research systems contribute to...

In the automotive sector, vehicle data gathered through On-board Diagnostics (OBD) systems offers continuous insights into vehicle health status and performance. Leveraging this data for predictive maintenance can significantly reduce unplanned failures, enhance safety, and extend vehicle...

This study investigates spatial crime patterns in the municipality of Matelândia, Brazil, with the aim of optimizing the placement of police facilities through an enhanced clustering approach. We use an unsupervised machine learning technique, and we introduce a refined k-Means methodology...

Income inequality is observed to have recently increased both at the country and regional level. Consequently, inequality, poverty and social stratification have become important issues of debate among economists, sociologists and social policy-makers. Thus, an in-depth statistical analysis of...

Personality prediction has become an increasingly important area in psychological computing and human-centered AI, especially with the rise of user-generated textual data from social media platforms. However, current approaches - primarily based on supervised learning - face major challenges in...

East Asia exhibits remarkable economic heterogeneity, yet debates on the region's development have centered predominantly on the most successful cases, such as Japan, South Korea, and Taiwan, all examples of the so-called "developmental state" model, or China's economic upswing. Building on the...

In this paper we construct a bipartite network model for the Maltese banking sector and identify communities of banks based on overlapping credit exposures. By leveraging confidential supervisory bank-level data on total exposures, we identify four distinct bank clusters and compute relevant...

Insurance companies are expected to play a critical part in the transition to a net-zero, resilient, and socially just economy. Not only can they impact changes through sustainable investing and underwriting, but they can also make a contribution with their own sustainable and inclusive...

The Indonesian government has implemented poverty alleviation programs, including assistance programs for the poor. Despite these efforts, the number of impoverished individuals in South Sulawesi continues to rise. To address this issue, a statistical method is necessary to cluster the poor...

This study investigates how a KPI-based incentive system can enhance behavior alignment and operational performance in complex port environments, addressing the growing need for data-driven governance in public logistics operations. The research analyzes a two-year dataset from 145 navigation...

Research background: At the NATO Wales Summit in 2014, European allies agreed to spend at least 2% of GDP on defence.1 However, the break-out of the Russo-Ukrainian war increased EU countries efforts to spend more on military capability not only because of solidarity in the alliance, but also as...

Background: Growing disparities in development, governance, and logistics performance across countries pose challenges for global policymaking and Sustainable Development Goal (SDG) monitoring. This study proposes a classification of 137 countries based on multiple structural dimensions. The...

This paper analyses excess mortality data for a selection of countries during the Covid period of 2020-2022 using the Short Term Mortality Fluctuations dataset. Adjustments are made to apply a standardised age distribution on the data to obtain age-adjusted excess mortality and this is compared...

Within business management, the growing interest in work engagement stems from its recognised role in mitigating employee well-being, bolstering job satisfaction, and optimising organisational outcomes. This review comprehensively explores the knowledge structure of work engagement in business...

Urban functional areas, as an important fundamental component of urban planning, hold significant importance for optimizing urban layouts, resource allocation, and the rational organization of socio-economic activities. Urban functional area division using traditional methods often has...

Multi-level eco-labels, such as an eco-score, combine various environmental product attributes into one overarching label and have the potential to effectively promote sustainable consumption and business practices. This study uses an adaptive choice-based conjoint analysis based on an online...

Das Cluster Forst und Holz umfasst die wirtschaftlichen Aktivitäten mit Bezug zur Produktion von Rohholz und der daran anschließenden holzbasierten Wertschöpfung. Im Cluster werden traditionelle Holzverwendungen wie die Herstellung von Schnittholz, Holzwerkstoffen oder Zellstoff sowie der...

This study integrates the Logistics Performance Index (LPI), Worldwide Governance Indicators (WGI), and Human Development Index (HDI) through Multiple Factor Analysis (MFA) and hierarchical clustering to create a comprehensive perspective on global development. By clustering countries based on...

Using deal-level micro data from the Dealroom database, we construct a dynamic co-investment syndication network to examine the influence of cultural proximity and geospatial proximity between investors and start-ups, as well as the network position of global VC firms on investment decisions in...

The estimation of age-to-age development factors is fundamental to loss reserving, with direct implications for risk management and regulatory compliance in the auto insurance sector. The precise and robust estimation of these factors underpins the credibility of case reserves and the effective...

Context: Vocational teachers' professional work builds on both vocational and teaching competence, requiring vocational teachers to balance multiple identities in their professional practice. As a professional group coming to education from different vocational disciplines, vocational teachers...

This study develops a multidimensional classification of Latin American and Caribbean countries based on a multidimensional set of economic, social, technological, and environmental indicators. This study develops a multidimensional assessment of the performance of Latin American and Caribbean...