All of the articles in this proceedings volume have been presented at the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region] during [13-14 April, 2026” in University of Biskra-Algeria-. These articles have been peer reviewed by the members of the...

This paper explores the integration of Green Intellectual Capital (GIC) and Artificial Intelligence (AI) as a strategic pathway for promoting sustainable development in Arab universities. Drawing on contemporary literature, the study develops a conceptual understanding of how the core dimensions of GIC—green...

Since its emergence, strategic management has undergone continuous change and disruption. However, the advent of artificial intelligence (AI), and especially generative artificial intelligence (GAI), has brought about an unprecedented upheaval. GAI is not merely a technological advancement;...

Artificial intelligence (AI) is rapidly reshaping economic and institutional life in Muslim-majority societies, yet prevailing governance frameworks, including UNESCO’s AI Ethics Recommendation and the NIST AI Risk Management Framework, remain grounded in secular normative assumptions that do not adequately...

One of the most distinctive features of the modern erais the enormous technological development. perhaps the most prominent manifestation of this development is artificial intelligence, a technology that many consider an opportunity to solve complex problems that humans have been unable to address effectively. ...

Artificial intelligence (AI) is increasingly becoming a major factor in business management. It is changing essential areas like human resource management (HRM), decision-making, and the improvement of organizational processes While these innovations are often seen as ways to boost efficiency, performance,...

This paper examines, who owns authorship rights, humans or AI? based on theoretical prospective and on legal cases studies, by reading between the legal’s lines of authorship in this digital age. The last few years, we’ve stepped into a brand-new era, which called “Artificial Intelligence” this new term...

Accurate inflation forecasting is crucial for effective policymaking, yet inflation dynamics often lack transparency. This study applies Explainable Artificial Intelligence (XAI) to analyze inflation in Algeria by combining SHapley Additive exPlanations (SHAP) with Random Forest (RF) and Long Short-Term...

Financial markets in the MENA region face critical challenges in detecting anomalies within high-frequency trading and cross-border payment systems, where traditional machine learning approaches struggle with extreme dimensionality, class imbalance, and real-time constraints. This paper presents a theoretical...

This study aimed to examine the impact of artificial intelligence usage on students learning behavior by analyzing four main dimensions: information search and data collection, academic understanding and analysis, academic writing and editing, and summarization and knowledge organization. The study adopted...

The domain of human resource management is witnessing rapid transformation driven by advanced developments in artificial intelligence technologies, especially predictive models, which have become a pivotal tool for supporting strategic decision-making and developing human cap ital. This study aims to...

The integration of Artificial Intelligence (AI) and Big Data Analytics into financial and administrative auditing is fundamentally transforming traditional control systems. This paper explores how these technologies enhance audit accuracy, efficiency, and transparency through the use of machine learning...

The intersection of artificial intelligence (AI) and logistics is transforming how nations design, optimize, and govern their transport and supply chain systems. In emerging economies, particularly within the Middle East and North Africa (MENA) region, this digital shift is increasingly recognized as...

This study aims to clarify the concept of Artificial Intelligence (AI) and its transformative impact on business across multiple sectors. By examining AI applications in economic institutions, the research highlights key areas where AI enhances performance, including marketing, productivity, accounting,...

This paper explores the role of Artificial Intelligence (AI) in automating and managing blockchain-based supply chain transactions in MENA countries (Middle East and North Africa), a region undergoing rapid digital transformation in trade and logistics. It examines how AI enhances blockchain systems...

The field of financial auditing is undergoing a profound transformation driven by the rapid advancement of artificial intelligence technologies, particularly large language models such as ChatGPT, which have demonstrated advanced capabilities in analyzing financial data and identifying logical relationships...

This study presents a predictive, artificial intelligence–driven ticket resolution framework aimed at improving customer service efficiency within the printer maintenance domain, a critical technical sup-port area for both organizational and individual users. Owing to the limited availability of reliable,...

The increasing use of artificial intelligence (AI) in customer relationship management has enabled firms to automate interactions across multiple channels. However, many software-as-a-service (SaaS) companies struggle to align omnichannel automation and budget allocation with customer value, particularly...

Artificial intelligence (AI) adoption is expanding across organizations worldwide, including those in the Middle East and North Africa (MENA). Yet many organizations continue to struggle to translate AI investments into sustained organizational value. This gap has drawn attention to factors beyond model...

Artificial intelligence (AI) has become a key driver of digital transformation in e-commerce platforms, profoundly reshaping consumer–platform interactions. This study examines the impact of AI on customer experience within e-commerce platforms, with a specific focus on Generation Z e-consumers in an...

This study examines how AI-powered chatbot characteristics enhance customer experience in Algerian e-commerce, with trust serving as a mediating mechanism. A cross-sectional survey of 164 chatbot users was analyzed using Pearson correlations and Baron and Kenny’s mediation procedure with Sobel tests....

Artificial Intelligence (AI) technologies are increasingly integrated into social and entrepreneurial ecosystems, transforming the way individuals with disabilities interact with their environment. This rapid integration raises important ethical considerations related to data privacy, algorithmic bias,...

This study aims at examining the emerging ecosystem of Algerian AI-driven startups. This sector is rapidly innovating, yet it is exposed to sophisticated digital threats. However, its development often outpaces robust cybersecurity frameworks. This fosters a condition termed entrepreneurial cyber-fragility....

This study explores the early integration of deep learning and neural networks within startup environments, focusing on how these technologies can shape organizational intelligence and long-term competitiveness. The research aims to demonstrate the strategic value of embedding advanced AI methods from...

This study examines the survival dynamics of 96 Algerian startups, with particular attention to the role of AI and advanced technological contributions. Primary data were collected via an online survey, yielding a non-probabilistic sample due to the absence of an exhaustive official startup registry...

Artificial intelligence (AI) plays a crucial role in border control and protecting national security from all significant security threats. AI has been adopted in this field to detect migrant infiltration before they cross into other countries, analyze their data, and use proactive technological methods...

This study addresses Artificial Intelligence (AI) readiness as a key requirement for organizations aiming to adopt AI technologies effectively and responsibly, with a specific focus on the MENA region. Using quantitative exploratory approach, the research develops and empirically validates a context-aware...

This study aims to measure and analyze the organizational AI exposure in two different Algerian insurance companies, SAA and Alliance, using a proposed conceptual framework within an AI-assisted comparative case approach to assess AI Exposure through three core dimensions: process, administrative, and...

This study aims to clarify the conceptual and practical framework of the use of financial technology (FinTech) and artificial intelligence (AI), and to ex-amine their contribution to improving financial management (FM) and en-hancing the performance of the business sector. The study adopts a deduc-tive...

Given the water Scarcity Challenges facing North Africa due to climate change and population growth, which necessitate sound governance to prevent the excessive depletion of potable water, artificial intelligence (AI) has recently emerged as a crucial tool for improving the efficiency of water resource...

Business Process Management (BPM) systems are increasingly employed to automate and coordinate complex, multi-actor workflows across organizational boundaries. However, conventional cloud-based BPM solutions continue to face enduring challenges related to trust, data transparency, and auditability. This...

Natural gas consumption forecasting supports efficient energy management and resource planning in industrial environments. The proposed architecture combines an encoder–decoder structure with dual attention mechanisms — temporal and feature-level — alongside cyclical encodings and moving-average representations...

This work reports a computational optimization study of heavily doped (10⁻³) Si:Sb–Bi/Al₂O₃ heterostructures using AI-enhanced Silvaco TCAD simulations to address key material design trade-offs. A central challenge in this system arises from the inverse relationship between beneficial lattice strain...

Generative artificial intelligence is increasingly integrated into online travel platforms to support trip planning, yet limited research examines how commercial implementations address tourism decision overload in practice. This study conducts a qualitative, multi-platform comparative analysis of generative...

In the era of Industry 4.0, the imperative for proactive vendor risk management is predicated upon the precise forecasting of future performance. Nevertheless, the deployment of sophisticated Deep Learning (DL) architectures such as Long Short-Term Memory (LSTM) networks remains markedly constrained...

This study analyzes the impact of artificial intelligence on digital business model development and strategic transformation in family businesses within the MENA region through a systematic literature review (2020–2025). The findings confirm that AI functions as a strategic driver of operational efficiency,...

Food security governance in import-dependent economies has shifted toward algorithmic anticipation, with forecasts guiding procurement and reserve decisions in staple food markets. This paper argues that this shift reflects a reordering of coordination signals rather than a purely technical gain in prediction....

The Flexible Job Shop Problem (FJSP) is an extension of the classical job shop scheduling problem. It assigns each operation to a machine and sequences the operations on each machine with the aim of minimizing the maximum completion time of all operations. The FJSP is an NP-hard combinatorial optimization...

Invasive Ductal Carcinoma (IDC) is the most common and aggressive subtype of breast cancer, requiring early and reliable diagnosis to support clinical decision-making. This paper presents BreCAI, an AI-powered digital pathology platform designed to assist IDC diagnosis through an end-to-end workflow...

We investigate a stochastic control problem for renewable energy capacity installation under uncertainty and implementation delay. Investment decisions are irreversible and subject to time-to-build constraints such as construction, regulatory approval, and grid integration. Electricity...

This article provides a comprehensive analysis of the challenges facing traditional legal frameworks of intellectual property in light of the rapid development of generative artificial intelligence systems. It highlights the inadequacy of the concepts of originality and human authorship in accommodating...