Article Metadata for International Journal of Business, Law and Political Science

Objective: This study aimed to analyze the impact of digital leadership and organizational flexibility on improving job performance in sports clubs, through a field study on a sample of club presidents and coaches in the Iraqi Football League. Met...

Objective:  This study aimed to examine the impact of Digital Human Resource Management (DHRM) strategies on organizational agility at the College of Administration and Economics, University of Sumer, in light of the growing trends of digital tran...

Objective: This study addressed the topic of administrative transparency as one of the most important modern mechanisms for improving public administration performance and combating corruption. Method: The conceptual framework of transparency was ...

Objective: This study examines the effect of algorithmic bias in digital advertising on ethical marketing practices in Iraqi organizations. The study focuses on three dimensions of algorithmic bias: demographic targeting bias, data-driven personal...

Objective: The purpose of this study is to present a predecessor–successor model explaining the impact of artificial intelligence on human resource development (HRD). Method: The present research is applied in nature and conducted through a qualit...

Objective: This article provides a comprehensive analysis of criminal liability and sentencing for cyberbullying against children in the school environment. Method: It examines the concept and key features of cyberbullying, relevant international ...

Objective: The aim of this research is to review the facets of "Indirect Incitement to Crime" as a developing intellectual criminal phenomenon, and its impact on the criminal liability system in accordance with the Iraqi legislation. This study is...

Objective: This paper presents the design and implementation of an AI-powered cybersecurity threat detection system that leverages deep learning and behavioral analysis to identify and mitigate emerging cyber risks. Method: Our proposed architectu...

Objective: This research develops machine learning solutions that optimize business operations through intelligent process automation, combining robotic process automation (RPA) with cognitive capabilities. Method: Our framework integrates natural...

Objective: This research proposes a novel machine learning-based framework for financial fraud detection that combines ensemble learning techniques with real-time transaction monitoring. Method: Our hybrid approach integrates Random Forest, Gradie...