Zayed University

How followers evaluate social media influencers’ communication: A persuasion‐based perspective and research agenda

Abstract Scholarly research on social media influencers is expanding. Although the field has grown substantially, its research base remains fragmented. This is largely due to the multitude of disciplines upon which influencer research draws and to the diverse perspectives applied...

Knowledge‐Driven Supply Chain Digitalization and Fully Automated Baggage Handling System Success: The Mediating Role of Knowledge Integration Capability and the Moderating Role of Organizational Digital Readiness

ABSTRACT The growing use of intelligent digital technologies is reshaping airport supply chains, but technology adoption alone does not explain why automated baggage handling initiatives succeed. knowledge‐driven supply chain digitalization (KSCD) is defined here as the organizat...

The knowledge-sharing paradox: rewards, creativity, and the moderating roles of transformational leadership and emotional intelligence in employee cheating and turnover intentions

Purpose This study aims to examine how knowledge sharing behaviours within organisations influence employee outcomes, specifically turnover intentions and cheating behaviours, while considering both organisational and individual antecedents. It develops and tests an integrated mo...

Artificial intelligence as enabler and object of strategic foresight: a theoretical framework for digital organisational transformation

Purpose Research on artificial intelligence (AI) in organisations has concentrated on operational efficiency and automation. This study aims to reposition AI as both a constitutive element and a strategic object of foresight, a dual role the literature has noticed but not theoris...

Contributing to SDGs 9, 16, and 17: Unveiling the Role of Supply Chain Analytics, Cybersecurity Supply Chain Risk Management and Trust

ABSTRACT The primary objective of this study is to explore the relationships between supply chain (SC) analytics, cybersecurity supply chain risk management (C‐SCRM), SC trust, and Sustainable Development goals (SDGs) in a sample of Jordanian pharmaceutical SCs, considered an eme...

Developmental Language Disorder and Developmental Dyslexia: Rethinking Categorical Boundaries Through a Dimensional Language–Literacy Framework

Developmental Language Disorder (DLD) and developmental dyslexia are among the most prevalent neurodevelopmental disorders affecting children’s language, literacy, academic achievement, and social participation. Although traditionally conceptualised as distinct disorders of oral...

Deployment-oriented evaluation of large language models for Arabic emotion classification

Large Language Models (LLMs) are increasingly used for emotion classification, yet Arabic evaluations remain limited and typically emphasise predictive performance alone. This study presents a deployment-oriented evaluation framework for Arabic emotion classification that complem...

A novel deep learning-based approach for liver segmentation from 3D CT images using probabilistic shape guidance

Abstract Accurate liver segmentation is essential for computer-aided diagnosis (CAD) systems, yet it remains challenging due to anatomical variability, indistinct organ boundaries, and tissue intensity variations in both normal and pathological cases. To address these challenges,...

ChatGPT-induced technostress among UAE university students: a PLS-SEM and IPMA investigation of AI anxiety, cognitive overload, and perceived authenticity

Purpose University students in the United Arab Emirates are among the most intensive users of ChatGPT worldwide. Little is known, however, about the psychological costs associated with this adoption. This study aims to examine how three AI-related stressors – perceived ChatGPT au...

Digital irresponsibility in the gig economy: insights from a mixed-methods study

Purpose Present study examines how corporate digital irresponsibility (CDI) contributes to self-regulatory failure among online food delivery workers. Self-regulatory failure is operationalised through two outcomes, namely burnout and risky driving behaviour. Drawing on psycholog...

Nature-based therapy in the UAE: leveraging ecosystems to alleviate depression and anxiety

This review synthesizes current evidence on the relationship between natural ecosystems and mental health outcomes with a particular focus on arid and rapidly urbanizing contexts such as the United Arab Emirates (UAE). It introduces the Multi-Ecosystem Therapeutic Framework for A...

Comparative analysis of deep learning approaches for electrothermal and state of health estimation in lithium-ion batteries under variable thermal conditions

Due to prolonged operation and repeated charge–discharge cycles, lithium-ion (Li-ion) batteries undergo gradual degradation that impacts system reliability, safety, and lifespan. To enable precise health tracking in intelligent battery management systems (BMS) and overcome the li...

Ripple effect of destructive leadership: the proactive role of psychological capital in psychological disidentification and job performance

Based on conservation of resources theory (COR), this research aims to investigate the relationship between destructive leadership behavior (DLB) and employee’s job performance (peer rated) considering the mediating role of psychological disidentification (PsyDis) and moderating...

My Heart: a personalized interactive cardiovascular care system using artificial intelligence

Cardiovascular diseases (CVDs) remain the leading cause of death globally, driven by misinformation, low health literacy, and fragmented patient engagement. Existing digital health solutions often lack personalized, bilingual responsive education and proactive risk assessment, es...

Bridging the Gap: Investigating Students' Self‐Reported AI ‐Literacy and Perceived Employability Competencies for an AI ‐Enabled Workforce

ABSTRACT Background The integration of artificial intelligence (AI) into the global economy requires higher education institutions to equip graduates with AI literacy. However, there is limited empirical research on the relationship between AI literacy and employability, particul...

Alloyed Versus Physically Mixed Bimetallic Nanoparticle PLA Composites: Structure and Antimicrobial Performance

ABSTRACT In this work, polylactic acid (PLA) based nanocomposites containing bimetallic nanoparticle systems were made using the injection molding method to compare the antimicrobial behavior of alloyed nanoparticles and those physically mixed to be used in biomedical and environ...

The impact of religiosity and enforcement on ESG decoupling: an international study

Purpose This paper investigates how religiosity affects environmental, social and governance (ESG) decoupling. It also examines how enforcement quality moderates this relationship. Design/methodology/approach Using a dataset of 34,330 firm-year observations from 29 countries (200...

Numerical Assessment of Linear and Nonlinear Models for Compressible Flows

This paper presents a numerical comparison between linearized and nonlinear models for compressible fluid flow in several configurations: a Cauchy-type setting, a half-space model with prescribed free-surface velocity, a bounded-domain model, and a pressure-dependent compressibil...

Bridging risk and retention: risk coping with privacy and hallucination in AI

Abstract This study examines how users engage with generative AI systems in the presence of perceived technological risks, focusing on the interplay between risk perception, adaptive behavior, and continued use. Drawing on a risk coping perspective, the study conceptualizes gener...