Online reputation systems (ORS) are platforms that collect and share feedback about products, services, or companies, primarily focusing on consumer reviews. However, employee rating platforms, a subset of ORS, allow workers to review their employers, providing valuable insights for job seekers and current …

Purpose The concept of banking reputation has gained significant attention due to its relevance in the banking industry. A strong reputation has become crucial for a bank’s success, as it affects trust, credibility and stakeholders' perceptions. However, understanding and managing reputation in the banking …

This paper explores the nexus between digital transformation and cybersecurity, examining professional perceptions of these intertwined concepts As Industry 4.0 reshapes organizations and society, digital technologies and connectivity become pivotal. Businesses adopting e-business and cloud computing …

Introduction: Few studies have examined the sales of stolen account credentials on darkweb markets. In this study, we tested how advertisement characteristics affect the popularity of illicit online advertisements offering account credentials. Unlike previous criminological research, we take a novel …

Invited Keynote Speaker

Abstract: Electronic and electrical waste (e-waste) is growing fast. The purpose of this study is to examine young consumers’ purchase intention of refurbished electronic devices (REDs) such as laptop, tablet, mobile phone and game console. From literature review the factors that influence young consumers’ …

In this enlightening episode, Daniel provides an in-depth look into the multifaceted world of cybersecurity, especially for small and medium enterprises. He challenges the common misconception of entirely outsourcing cybersecurity responsibilities and emphasizes the importance of a holistic approach. …

In this episode of “Learning to Think Like a Cyber Security Specialist,” we explore how investing in Security and Privacy is crucial for building trust with clients. We contrast different company approaches to handling personal data, from transparent and protective to invasive and careless. The episode …

This research demonstrates the power and robustness of the vocabulary method by Hernández-Rubio et al. (2019) for aspect extraction from online review data. We showcase that this algorithm not only works on the English language based on the CoreNLP toolkit, but also extend it on the Dutch language, specifically …

This paper presents a Decision Support System (DSS) that helps companies with corporate reputation (CR) estimates of their respective brands by collecting provided feedbacks on their products and services and deriving state-of-the-art key performance indicators. A Sentiment Analysis Engine (SAE) is at …