مطالب

The Noble Quran and the Testaments share the common feature of being composed of various parts or chapters. These chapters are called "Surahs" in the Quran and "Books" in the Testaments. Unlike the Testaments, whose content mostly possesses a linear order similar to human books, with each book usually centered on a specific or general topic, the Surahs of the Quran—with the exception of the shorter Surahs and some collectively-revealed ones—typically lack a specific topic and order, appearing as if diverse and varied subjects are scattered throughout them (the "Scattered" nature of the Quran). Some believe the human-like order of the Testaments indicates their human origin, while the non-human order of the verses in the Quran's Surahs is a sign of its divine origin. However, according to this research, conducted using library resources and critical analysis method, neither the structure of the Testaments and their similarity to human books is proof of their non-divine origin, nor is the scattered structure of most long Quranic Surahs and their dissimilarity to the order found in most human books proof of its divine origin.

Purpose: The purpose of this research is to develop a model of export market orientation based on competitive intelligence in the era of the digital economy. Method: This study employed a qualitative approach, utilizing grounded theory as the research method. Sampling was conducted purposefully and continued until theoretical saturation was achieved, involving a total of 15 managers and experts from selected exporting companies. The systematic research process comprised open coding, axial coding, and selective coding, facilitated by strategies such as analysis, questioning, comparison, reminders, schemas, and paradigms. During the coding process, revisions were made, and classifications were validated through feedback from the participants. Findings: The findings revealed the paradigmatic pattern of export market orientation based on competitive intelligence in the era of digital economy including six main categories of causal conditions, context, phenomenon or central category, intervening conditions, strategies and the consequences. Causal conditions have three sub-categories of learning abilities promotion of customer-oriented culture, knowledge of export technology and R&D processes and identification of export market needs; background conditions include three sub-categories of competitive thinking, competitive export processes (technical evaluation) and competitive governance; intervening conditions  include three sub-categories of market technical structure (new technologies), environmental uncertainty and global markets (export risks); the central phenomenon has three sub-categories of value chain (reward strategy), human resource empowerment and employee training (export intelligence); The strategies include three sub-categories of competitive value creation, development of export competitiveness and strategic evaluation of resources and competitive agility and strategic entrepreneurship; The results include three sub-categories of developing entrepreneurial activities, competitive advantage and promoting innovation and dynamic export capabilities. Conclusion: Based on the results, successful implementation of the export market orientation model, grounded in competitive intelligence, requires managers of exporting companies to develop a deeper understanding of the export market. This can be achieved by allocating greater effort to market-oriented activities. Furthermore, by emphasizing competitive intelligence, these companies can improve the perception of their services and create a positive association with their brand in the minds of international customers.

This research aims to examine the impact of Big Data Quality (BDQ) components, including completeness, accuracy, format, and currency, on Big Data-driven Human Resources (BDHRP) management practices and Decision-Making Quality (DMQ) from the viewpoint of HR managers. It also seeks to identify the most impactful components among completeness, accuracy, format, and currency in the context of BDHRP and DMQ. A survey of HR professionals in 108 French organizations deploying Big Data Analytics systems revealed positive relationships between BDQ, BDHRP, and DMQ. Statistical analyses conducted with the Partial Least Squares Structural Equation Modeling (PLSEM) method showed a positive relationship between BDQ components and BDHRP, with currency and accuracy emerging as the most influential factors. Additionally, a strong positive relationship was found between BDQ components and DMQ, with currency and accuracy leading the way. The research also found a significant connection between BDHRP and DMQ, further underscoring the importance of effective HRM practices in enhancing decision-making quality. These findings contribute significantly to understanding the crucial role played by big data quality in BDHRP and decision-making, highlighting the potential for organizations to improve outcomes by focusing on currency and accuracy-related concerns. In practical terms, this research offers insights that can guide data quality practices, resource allocation, and strategic decision-making within organizations.

This study explores the psychological impact of Internet addiction, comparing the functioning of Internet-addicted individuals to their non-addicted counterparts. A survey of 175 undergraduates from a Malaysian public university assessed their perceptions of 18 statements reflecting key facets of psychological well-being, including autonomy, environmental mastery, positive relationships, personal growth, purpose in life, and self-acceptance. Significant differences were observed in 14 out of 18 statements, with small to medium effect sizes, indicating meaningful disparities between the two groups. The findings suggest that Internet-addicted individuals are more likely to experience challenges in psychological well-being, often turning to the Internet as a coping mechanism for dissatisfaction or unhappiness. This study underscores the need for targeted interventions in the realm of information technology to promote healthier Internet use and address its psychological effects.