This study provides insights into the requirements for client-led strategic renewal of Smart Maintenance Management (SMM) in the construction industry by analyzing its institutional context. A single case study is conducted within a public-sector facility management (FM) organization that operates as …

There is a pressing need to align energy curricula in vocational and higher education to the challenges of the energy transition. Therefor this paper aims at drafting up to date skills profiles for jobs in the Dutch energy sector. Skills profiles were drafted by mapping (transversal) skills mentioned …

Many European cities have recently experienced anti-tourism protests, as a result of unmanageable flows of tourism. Residents increasingly voice their dissatisfaction. Amsterdam, one of Europe’s most popular tourist destinations, benefits financially and culturally from international visitors, yet faces …

Analyzing historical decision-related data can help support actual operational decision-making processes. Decision mining can be employed for such analysis. This paper proposes the Decision Discovery Framework (DDF) designed to develop, adapt, or select a decision discovery algorithm by outlining specific …

This study’s aim was to assess the growing flood risk Sao Tome and Principe (STP) faces due to climate change. It achieved this by carrying out a nationwide risk assessment for riverine and coastal flooding. The study used recently completed high-resolution national flood hazard data for the present …

This study introduces a detailed method for analyzing the buckling behavior of laminated composite structures strengthened with multi-walled carbon nanotubes (MWCNTs). We propose a multi-scale analysis that combines analytical and computational techniques to assess the mechanical performance of MWCNT-reinforced …

This paper presents a user-friendly version of Persistent Homology (PH) graph code to model financial market structures and changes. By leveraging Topological Data Analysis (TDA), the code offers an effective approach for analyzing high-dimensional stock data, enabling the identification of persistent …

In this paper, we present a digital tool named Diversity Perspectives in Social Media (DivPSM) which conducts automated content analysis of strategic diversity communication in organizational social media posts, using supervised machine-learning. DivPSM is trained to identify whether a post makes mention …

This study introduces a novel methodology for the post-analysis of operational predictability by leveraging timestamps collected through the Airport Collaborative Decision Making (A-CDM) framework. Focusing on the start-up and departure phases, the analysis highlights the importance of accurately planning …

This study provides a comprehensive analysis of the AI-related skills and roles needed to bridge the AI skills gap in Europe. Using a mixed-method research approach, this study investigated the most in-demand AI expertise areas and roles by surveying 409 organizations in Europe, analyzing 2,563 AI-related …