Requirements for a Federated Learning System to strengthen IT Security in Human Resource Management -- Implementing Smart Contracts: The case of NFT-rental with “pay-per-like” -- Revealing Hidden Self-financed Wash Trading in Non-Fungible-Token Markets -- DataOps as a Prerequisite for the...

This book presents selected contributions from the Fourth International Scientific-Practical Conference (ISPC 2024), held on October 10-11, 2024, organized by IU International University, East European University, Adelphi University, and the E-Commerce Institute, with contributions from Asia,...

A Picture is Worth a Thousand Words – Exploring Bias in Inclusive Chatbot Design -- Ensuring Energy Affordability through Digital Technology: A Research Model and Intervention Design -- The Motivation of Companies to Implement Corporate Digital Responsibility Activities Voluntarily: An...

-- AI for the Sustainable Development Goals. -- AI-driven digital transformation leading the way to a more sustainable future. -- Revolutionizing Healthcare: Unveiling the Power and Pitfalls of Digital Transformation. -- Digital transformation and Impact of Technology on Brand Protection and...

This chapter explores ‘algorithmic management’ ( ), automated decision-making in human resource management (HRM) in the context of the datafied future of work. This chapter argues that the coding element of algorithmic decision-making is a fundamental and crucial element of bias and...

The main objective of the study was to identify main trends, research directions and important authors in the field of supply chain management (SCM) and logistics in the context of digital transformation and automation through the application of bibliometric analysis. The study is based on the...

Introduction: The insurance industry is undergoing constant transformation to keep up with the demands of digitally savvy consumers. “Insur-Tech” refers to using technological breakthroughs in the insurance sector to boost competition, innovate new products, increase customer happiness, and...

Computer vision and edge computing technologies for the drone industry explores the enhancement of the autonomous capability of drones for operations in dense forests, mountainous regions, or urban settings. It highlights the abilities of computer vision algorithms to enable drones to navigate...