The term Big Data is being used widely by companies and researchers who consider your relevant functionalities or applications to create value and business innovation. However some questions arise about what is this phenomenon and, more precisely, how it occurs and under what conditions it can...

Personal profiling and predictive behavioural analysis done by Big Data applications pose immense challenges to society and democracy, especially when they violate individuals' constitutionally guaranteed fundamental rights, such as the rights to privacy and data protection, and the right to...

A computer-generated 3D model is used to illustrate the advantages of in silico techniques in virtual reality. The model is derived from theoretical data available for SMEs in service industries and for example enables a business owner (or consultant) to identify where the particular...

This study introduces an innovative automated model, the Scientists and Researchers Classification Model (SRCM), which employs data mining and machine-learning techniques to classify, rank, and evaluate scientists and researchers in university settings. The SRCM is designed to foster an...

Drawing on a quasi-experiment, this paper analyzes the effects of providing a large amount of firm information on bank screening ability and lending activities, borrower operation activities, and banking market concentration. The experiment suggests that increasing the amount of information...

Public agencies are investing significant resources in big data analytics to mine valuable information, predict future outcomes, and make data-driven decisions. In order to foster a strong understanding of the opportunities and challenges associated with the adoption of big data analytics in the...

Objective: Nowadays, Organizations have adopted process-driven approaches in order to improve their operations. Process identification and refining them in organizations is essential to save time and reduce costs. Process management, enterprise risk management and compliance checking with the...

Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics...

This study aims to identify generative AI (GenAI) applications and develop a roadmap for the near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic patterns and identify the key application areas from a text corpus comprising 2,398 patents published...

Patent citations have been widely used in order to study inter-technology and science-technology relations. The present work aims at: i) exploring time relations and distance between technical/innovative activities and scientific knowledge, using journal articles citations in patents as a proxy;...