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From Checklists to Algorithms: Historical Trajectories and the Transformative Role of Artificial Intelligence in Auditing
Full text linkThis conceptual study explores the historical evolution of auditing and evaluates the disruptive potential of artificial intelligence (AI) in reshaping core audit structures. Using institutional theory and models of technological disruption, it maps critical phases in audit development and identifies AI's impact across five domains: audit quality, efficiency, ethics, governance, and regulatory responsiveness. The study formulates theoretical propositions to clarify both opportunities and risks of AI integration. Findings suggest a historical pattern of reactive adaptation in auditing, with implications for ethics and competence development. The research offers practical and regulatory guidance and contributes original insights into the intersection of AI and Shariah-compliant audit systems
An ARDL-Inspired Conceptual Model: Analyzing the Short- and Long-Term Dynamics of AI, Big Data, and Trust in Marketing (2025-2030)
Full text link This study employs a qualitative adaptation of the Autoregressive Distributed Lag (ARDL) model to examine the interrelationships between artificial intelligence (AI) adoption, big data utilization, customer trust, and global marketing performance with projections toward 2030. Using annual data from 2020-2024, the analysis reveals strong positive long-term relationships between AI/big data adoption and marketing performance, while highlighting the complex mediating role of customer trust in this ecosystem. The findings indicate that AI demonstrates the largest impact coefficient (2.71), followed by big data (1.22) and customer trust (0.89). The bounds test confirms cointegration (F-statistic = 5.90 > critical value = 4.10), establishing a long-run equilibrium relationship. Projections suggest marketing performance will reach 11.3% by 2030, with AI contributing 4.1%, big data 2.8%, and customer trust 1.5% to this growth. However, these results are constrained by the limited sample size (5 years) and require cautious interpretation
Typologies of Trade Openness in Africa: A Principal Component and Cluster-Based Analysis
Full text linkThis study investigates the determinants and typologies of trade openness across 40 African economies, addressing persistent gaps in integration despite decades of neoliberal reforms. By employing Principal Component Analysis (PCA) and hierarchical clustering, the research analyzes how institutional quality, human capital, regional trade agreements, and tariff policies collectively shape trade openness and economic growth trajectories. The analysis reveals three distinct country clusters: liberal diversified economies (e.g., Mauritius, South Africa), transitional reforming states (e.g., Ghana, Kenya), and protectionist, commodity-dependent nations (e.g., Nigeria, Angola). Key findings highlight a positive association between trade openness and robust institutions, human capital, and participation in trade agreements, while high tariffs significantly hinder openness. The results underscore the necessity of complementary institutional and policy frameworks for effective trade liberalization. Strategic policy recommendations include investment in value-added sectors, strengthening regulatory institutions, phased tariff liberalization, and enhanced regional integration. The study advances the understanding of Africa’s heterogeneous trade landscape and informs targeted development policies
Determinants of Economic Growth in D-8 Countries: The Role of Financial Integration, Human Development, and Climate Change
Full text linkThis study investigates the primary determinants of economic growth in D-8 countries by examining the roles of financial integration, human development, and climate change. Using a panel dataset covering the period from 2002 to 2022, we apply both dynamic system GMM and quantile regression techniques to account for heterogeneity, endogeneity, and distributional differences in growth responses. Our findings indicate that financial integration does not have a consistently significant effect on growth, suggesting that its potential benefits are conditional on domestic absorptive capacities and institutional quality. In contrast, human development emerges as a key driver of economic growth, although its short-term impact appears muted in some specifications. Environmental indicators confirm a nonlinear relationship consistent with the Environmental Kuznets Curve (EKC), wherein emissions initially rise with income but decline beyond a threshold. These results underscore the importance of strategic policy alignment ensuring that financial openness supports productive investment, human capital development is prioritized, and climate policies are integrated into growth agendas
Predicting stock market index prices using Facebook Prophet and XGBoost: evidence from the Saudi stock market
Full text linkThis study investigates the effectiveness of two machine learning models—Facebook Prophet and XGBoost—in predicting the Saudi Stock Market Index (TASI). The study relied on a daily series of prices during the post-COVID-19 recovery period. The results reveal that there is a difference in prediction accuracy, as the XGBoost model outperformed the Facebook Prophet model in various accuracy criteria (MSE, RMSE, and MAPE). The study concludes that integrating the strengths of both models can enhance stock index forecasting accuracy, providing valuable insights for financial analysts and policymakers
Evaluation of Food Security Developments in the Arab Countries: An Analysis Based on Global food security Indicators (2010–2022)
Full text linkThis paper evaluates the developments in food security across Arab countries during the period 2010–2022, drawing on the four dimensions outlined in the Global Food Security Index: availability, affordability, quality and safety, and resilience. The study highlights the critical role of food security in achieving economic and social stability, particularly in a region highly exposed to external shocks, climate change, and geopolitical tensions. Despite notable progress in some areas, the findings reveal persistent disparities among Arab countries, especially in terms of affordability and resilience. The analysis also underscores the importance of sustainable agricultural practices, investment in infrastructure, and enhanced regional cooperation to ensure long-term food security. Based on the results, the study offers a set of policy recommendations to strengthen food systems, improve nutritional outcomes, and reduce vulnerability to future crises
The Role of Artificial Intelligence in Developing Accounting Audit Practices:A Literature Review
Full text link The accounting audit profession has undergone a significant transformation due to the adoption of artificial intelligence (AI), including machine learning, deep learning, and natural language processing techniques. This study reviews the recent literature (2020–2025) on the role of AI in developing auditing practices, focusing on five main areas: use cases and practical applications, AI’s impact on fraud detection and audit quality, operational efficiency and audit costs, governance, ethics and bias, and auditors’ readiness and auditability of AI systems.
Findings indicate that AI enhances audit efficiency and effectiveness, improves fraud detection accuracy, and reshapes auditors’ roles toward analytical and strategic tasks. The study also highlights the importance of establishing ethical governance frameworks, data protection, minimizing algorithmic bias, and developing auditors’ skills to interact effectively with AI systems.
However, the review reveals notable research gaps, particularly regarding small and medium-sized enterprises, auditors’ readiness, and the absence of comprehensive ethical governance standards.
The study recommends adopting hybrid and advanced AI models, strengthening professional training for auditors, and promoting applied research in SMEs to ensure responsible and sustainable use of AI technologies in accounting auditin
Particle Swarm Optimization for Constrained Financial Portfolio Selection: An Empirical Study on the US Market
Full text link This study investigates Particle Swarm Optimization (PSO) application to portfolio optimization under realistic investment constraints. Using 48 liquid assets' market data (2019-2024), we compare PSO against classical Markowitz optimization and equal-weight benchmarks. The PSO algorithm incorporates weight limits (20%), sector concentration (40%), volatility targeting (18%), and diversification requirements. Results demonstrate PSO's superior performance with Sharpe ratio of 0.9192 versus 0.7281 for constrained Markowitz and 0.7499 for equal-weight portfolios, achieving 26.2% improvement in risk-adjusted returns
Digital Transformation and its Impact on the Performance of Banks in Algeria during the Period (2013-2023)
Full text linkThis research paper investigates the impact of digital transformation (DT) on the performance of Algerian banks from 2013 to 2023. It aims to highlight DT's role in improving bank performance by potentially increasing profitability and liquidity, reducing costs, and expanding customer reach and examines Algeria's strategic push, notably through the Monetary and Banking Law n°23-09, which institutionalizes digital banking and a central bank digital currency. Methodologically, the study employs a descriptive analysis of DT concepts and banking performance, coupled with an analytical approach to secondary data from official national and international reports, covering financial and non-financial indicators. Key findings reveal significant regulatory advancements and infrastructural development. Important results include the Real Time Gross Settlement System (ARTS) processing 449,686 transactions valued at 112,535.82 Algerian Dinar (DZD) and the Automated Transfer and Compensation System for Interbank Transactions (ATCI) handling 74.77 million transactions valued at 22,958.5 billion DZD in 2023. Despite progress in electronic payments and card services, the adoption of digital banking in Algeria faces challenges, including infrastructural limitations and low public trust. The study implies that while foundational digital elements are being established, sustained investment in infrastructure, digital literacy, and trust building is crucial for Algerian banks to fully realize the performance benefits of DT and enhance competitiveness
Digital Intelligence and Agile Governance: How ICT Catalyzes Competitiveness -case of study: Siemens and Alstom-
Full text link This research investigates how information and communication technologies (ICT) catalyze organizational competitiveness through the synergy of digital intelligence and agile governance. Focusing on two leading European industrial groups—Siemens and Alstom—the study employs a comparative qualitative methodology based on multiple case studies, analyzing six key dimensions: digital strategic alignment, technological infrastructure, digital governance, agile culture, customer-centered innovation, and cross-functional integration. Data were collected via triangulation of annual reports, academic and professional publications, and executive interviews and analyzed between October 2023 and February 2024. Key findings reveal that Siemens adopts a systemic and agile approach to ICT integration, embedding digital tools across its value chain and fostering superior innovative performance and organizational resilience. In contrast, Alstom’s digital transformation remains more fragmented, with localized ICT initiatives and limited cross-functional integration, which constrains its transformative potential. The research demonstrates that strategic ICT integration, combined with agile governance and a culture of continuous learning, is essential for sustaining competitive advantage in a volatile digital environment.
Important results highlight Siemens’ higher digital maturity (aggregate score 4.5/5 vs. Alstom’s 2.9/5), driven by cross-functional project management and robust technological infrastructure. Empirical evidence supports a strong correlation between digital maturity and innovation performance, including shorter time-to-market and higher product success rates. The study emphasizes the need for a holistic approach to digital transformation, where technological, governance, and cultural dimensions are aligned