This systematic review brings together the collection of recent scholarly outputs on the
disruptive impact of digital transformation on the work. This paper draws from a sample of 68 …

ABSTRACT A systematic literature review is a systematic method for identifying, evaluating,
and interpreting the work of scholars and practitioners in a chosen field. Its purpose is to …

La revisión sistemática de literatura es un método sistemático para identificar, evaluar e
interpretar el trabajo de académicos y profesionales en un campo elegido. Su propósito es …

The field of business shows an increasing interest in exploring conversational agents to
improve service quality and market competitiveness. Furthermore, the advances in machine …

Abstract Machine Learning (ML) algorithms have been increasingly replacing people in
several application domains—in which the majority suffer from data imbalance. In order to …

Depression is a common mental disorder that causes sadness and loss of interest. It affects
350 million people in the world and its most severe state can lead to suicide. Many …

Purpose Today, marketing has evolved due to the emergence of new electronic
technologies and has shifted to e-marketing. Meanwhile, the gamification and gamified …

In 2016, Google introduced the concept of Federated Learning (FL), enabling collaborative
Machine Learning (ML). FL does not share local data but ML models, offering applications in …

Data subject rights provide data controllers with obligations that can help with transparency,
giving data subjects some control over their personal data. To date, a growing number of …

Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …