This study examines the role of artificial intelligence in enhancing quality management practices within Algerian startups, focusing specifically on how AI-driven business contributes to competitive advantage through improvements emerging market contexts. The research employs quantitative methodology, utilizing structural equation modeling (CB-SEM) analyze data collected from 357 startups. implements a comprehensive measurement framework incorporating practices, AI implementation status, and...

This paper offers a comprehensive analysis of the global economic impact COVID-19 pandemic, examining diverse responses and precautionary measures adopted by nations worldwide. It also delves into trans-formative role artificial intelligence (AI) in health surveillance its implications for dynamics. AI, key driver Fourth Industrial Revolution, is undergoing rapid evolution, prompting discussions on benefits challenges. Despite varying perspectives, indispensability modern society...

This study utilizes panel data models to thoroughly examine the intricate relationship between oil price fluctuations and stock prices within Saudi financial market across 15 distinct sectors. The research unveils a nuanced under-standing of long-term negative impact prices. Employing robust causality co-integration tests, establishes durable equilibrium with bidirectional influences these variables. These findings carry actionable insights, providing valuable guidance for investors,...

This study aims to perform a comprehensive bibliometric analysis of digital health research in Saudi Arabia from 1996 2024, identifying key contributors, evolutionary trends, and emerging themes inform future initiatives aligned with Vision 2030. We analyzed 417 health-related documents the Scopus database using VOSviewer Biblioshiny tools examine co-authorship patterns, citation clusters, keyword associations. quantitative approach allowed for systematic mapping landscape Arabia. The...

This study examines the impact of strategic capabilities on export performance among 174 Indonesian SMEs and investigates whether environmental uncertainty moderates these relationships. Drawing resource-based view theory, we analyze how technological capacity, network competence, market knowledge influence success in emerging economies. Using PLS-SEM analysis, our findings reveal that all three capability factors significantly enhance performance, with demonstrating strongest effect (β =...

This study investigates how Indonesian small and medium-sized enterprises (SMEs) can develop export resilience through strategic resource orchestration in dynamic global markets. Drawing on resource-based view (RBV) theory, we examine the differential impacts of network competence market knowledge capability performance while testing competitive aggressiveness as a potential boundary condition. Data collected from 174 exporting SMEs were analyzed using PLS-SEM. Results reveal that both (β =...

This research paper aims to know the extent of impact oil price fluctuations at world level, before and after Covid 19 pandemic, on prices most important sectors Saudi stock market, where co-integration methodology was used verify possibility a long-term equilibrium relationship. After using various tests stationarity, causality, etc., then proving existence this relationship, which means that there is financial contagion between rest other sectors, Covid-19 pandemic had profound all levels.

This research paper aims to know the extent of impact oil price fluctuations at world level, before and after Covid 19 pandemic, on prices most important sectors Saudi stock market, where co-integration methodology was used verify possibility a long-term equilibrium relationship. After using various tests stationarty, causality, etc., then proving existence this relationship, which means that there is financial contagion between rest other sectors, Covid-19 pandemic had profound all levels.

Saudi Arabia's Vision 2030 is quite an important strategy to decrease the dependency on oil and build a more robust sustainable economy. This paper uses input-output analysis map out strength of some sectoral interactions multiplier effects in order figure economic value key sectors. While employing backwards forward linkages, research explains role that manufacturing, agriculture, tourism, technology, renewable energy sectors have growth, employment, competitiveness. About results,...

This research paper aims to investigate the impact of climate change on economic growth, represented by GDP per capita, for a group North African and Sahel countries during period 1965-2020. As part Autoregressive Distributed Lag (ARDL) model approach, study examined this relationship both in short long term. The term utilized static analysis, while employed co-integration analysis. These two analyses revealed negative effect temperature rise positive precipitation necessitates that...

Identifying the forces that create structural transformation of economic landscape Saudi Arabia is key to developing appropriate policies and strategies. The difficulty this task increases with interdependencies inherent in a modern economy. To provide an understanding sources change within economy, input-output analysis approach was employed. This methodological framework enabled estimation changes individual sectors as well inter-sectoral linkage changes. showed there are considerable...

This study quantifies the bidirectional elasticity coefficients between population dynamics and economic development across differentiated strata through a comprehensive econometric analysis of 194 nations (2000-2024). Employing heterogeneous panel regression framework with Arellano-Bond GMM estimators (n=4,656 country-year observations), we analyzed population-development high-income (n₁=61), middle-income (n₂=89), low-income (n₃=44) economies. The model incorporates heterosexuality-robust...

This economic study uses a longitudinal panel analysis to look at the factors that affect changes in exchange rates five Arab Maghreb Union countries from 1998 2023 (n=125 observations). We find important long-term equilibrium relationships between and macroeconomic fundamentals using hierarchical methodological framework includes static estimation, cointegration testing, dynamic ordinary least squares (DOLS). The Fixed Effects Model, chosen by Hausman specification testing (χ² = 293.54, p...

Demography is considered one of the most important social sciences, especially since it related to humans and their needs in light scarcity economic resources. It consists a set theories that explain us reasons for development societies increase, models with mathematical formulas measure numbers estimate future, while policies represent practical side governments take appropriate measures control numbers, whether through expansionary or contractionary policies, according necessity officials...

This study provides a comprehensive assessment of Solvency II quantitative requirements and their application in an emerging market context, focusing on Alliance Insurance Company, one Algeria's leading insurers. Using longitudinal analysis spanning 2017-2021, we evaluate the company's financial stability against international standards through rigorous calculation Capital Requirements (SCR) Minimum (MCR). The research addresses critical gap understanding how European regulatory frameworks...

This study explores the interplay between inflation and stock markets in Gulf Cooperation Council (GCC) countries from 1990s to early 21st century. Utilizing a PANEL time series model Autoregressive Distributed Lag (ARDL) approach, we focus on financial sector, emphasizing market performance. Our analysis of annual data reveals significant, long-term impact GCC markets, reciprocal relationship. We observe stability this identify potential variations among countries. The contributes valuable...

For small and medium-sized enterprises (SMEs) seeking to adhere sustainable standards gain a sustained competitive edge, green marketing cleaner production are increasingly imperative. Green has grown lot in popularity the present market, which makes it possible rebrand repackage existing products. This study looks at how Algerian industrial SMEs might help achieve sustainability through production. Data analysis was performed using Smart PLS 4 softwareV.4.1.0.8 structural equation modeling....

This study examines the evolving landscape of Business Intelligence (BI) research and its impact on organizational decision-making through a comprehensive bibliometric analysis. Analyzing 2442 BI-related articles from Scopus database published between 2014 2024, we identified key trends, influential authors, leading institutions, significant gaps. Despite substantial literature, our findings reveal declining trend in BI publications under-exploration integrating with competitive...

This study investigates the influential economic factors impacting auto insurance premiums and explores potential for a long-term equilibrium relationship. Monthly data from 25 branches of National Insurance Company in regional agency Ouargla, Algeria, is analyzed using descriptive case methods. Through thorough trend analysis statistical model formulation, including co-integration tests, stability regression analyses, we assess relationship between variables impact independent on dependent...