The Balanced Scorecard, developed in 1992 by Kaplan and Norton, has evolved into a communication and strategy execution system widely adopted by organizations across various industries. This article explores the use of an ontology to bridge the gap between strategy management and data within the Balanced Scorecard framework. The Balanced Scorecard Ontology is introduced to store, validate, and analyze knowledge...
BIM tools enable decision-making during the lifecycle of engineering structures, such as bridges, tunnels, and roads. National Road Authorities use Asset Management Systems (AMS) to manage and monitor operational information of assets from European Highways, including access to sensor and inspection data. Interoperability between BIM and AMS systems is vital for a timely and effective decision-making process du...
Algorithmic evaluations are increasingly used to make decisions thanks to the perception of objective measures of quality and performance. However, little is known about how the current evaluation methods change with ML algorithms and with what consequences for the actors and organizations being evaluated. We conducted an exploratory case study in the breast unit of the Champalimaud Foundation in Lisbon. Gioia ...
This article addresses the complex challenges that public organizations face in designing, implementing, and evaluating their strategies, where public interest and regulatory compliance often intertwine with strategic objectives. This research investigates the application of ontologies in the field of public sector strategy management to enhance the capacity of organizations to make informed data-driven decisio...
Explainable Artificial Intelligence (XAI) is a growing area of research that aims to improve the interpretability of the not-so-informative black-box models. However, it is currently difficult to categorize an existing method in terms of its intrinsic characteristics and explainability. We provide a new unified yet simple taxonomy for the categorization of XAI methods and present the explainability methods curr...
Digital transformation has put Enterprise Architecture (EA) higher up on the agenda. The demands of digital transformation have intensified the need for organizations to have a common framework and vocabulary for understanding their structure and the interrelationship between key organizational components. This paper reports on the work developed by a multidisciplinary team from different European Higher Educat...
Higher education students and teachers lack the necessary information to monitor and analyse student performance with respect to the learning experience and autonomous work during the semester. This research is based on the need for continuous improvement of student learning monitoring for students and teachers. It aims to combine ontologies with a monitoring platform, creating new ways of structuring and visua...
Technology has revolutionized the education system. Many tools such as Learning Management Systems (LMS) were developed to enhance the learning process. With this new technology, teachers and universities can explore options otherwise difficult to implement. Keeping students engaged is one of the biggest challenges that educational institutions face. Students’ motivation, engagement, and performance can be affe...
O objetivo da missão Inteligência Artificial para a Administração Pública (IA>AP)* é promover a ligação entre estudantes, docentes e investigadores do Iscte, na área de Inteligência Artificial (IA), e as instituições da Administração Pública (AP). Pretende-se disponibilizar os conhecimentos e experiência académica na área de IA às entidades da AP que detêm dados passíveis de exploração, muitas vezes não usados,...
The amount and diversity of data that organizations have to deal with, intensify the importance and challenges associated with data management. In this context, data catalogs play a significant role, as they are used as a tool to find and understand data. With the emergence of new approaches to storing and exploring data, such as Data Lake or Data Lakehouse, the requirements associated with building and maintai...