درخت حوزه‌های تخصصی

Objective: Family functioning is one of the structures that can have a significant impact on the psycho-social functioning of its members. For this reason, identifying the factors affecting it will greatly help to improve the family's performance. The purpose of the current research was to develop a causal model of Family function based on psychological Hardiness and Psychological capital through Persistent psychological symptoms post-COVID-19 Syndrome. Methods:  The statistical population of the present study was men and women of Karaj and Tehran provinces in 2023 who had at least one history of contracting COVID-19. From the statistical population, using an available sampling method, 395 eligible individuals were selected to participate in the research and complete the research questionnaires. In this research,  Kobasa's Psychological Hardiness questionnaires, Depression, Anxiety, and Stress Scale (DASS-21), Corona Disease Anxiety Scale (CDAS), Corona Stress Scale (CSS-18), suitable for the Iranian lifestyle, and the Questionnaire of Family Functioning were used. The collected data were analyzed using the structural equation analysis method in Amos software (0.084). Results: The findings of this research indicated that Psychological Hardiness directly (0.085) and indirectly through psychological symptoms after COVID-19 (p<0.05) was able to significantly predict family functioning. Conclusion: According to the findings of this research, it seems that strengthening personal psychological structures in the face of environmental stressors can improve people's performance in dealing with these conditions.

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 paper investigates the success of the EHR system and its impacts on the knowledge-sharing process by healthcare professionals in a public medical complex in Saudi Arabia. It aims to reexamine and evaluate the usefulness of the updated DeLone & McLean IS success model considering IS in the healthcare context. The study is based on a quantitative methodology conducted at a public medical complex in Saudi Arabia. The data analysis was performed by combining descriptive and exploratory analysis. SPSS was used to test the constructs' validity and scale reliability. Additionally, using AMOS to test the model fit and examine the direct and indirect relationships among dependent and independent variables, structural equation modeling was performed. The results support the role of EHR use in enhancing knowledge-sharing practices within the medical care complex. The findings show that EHR users appreciate knowledge transfer and collaboration between medical staff. The findings suggest that the EHR’s characteristics of information quality, system quality, and service quality promote medical care knowledge-sharing through system satisfaction and use. This study helps medical staff and health decision-makers to understand the EHR benefits and the medical digital innovations that may contribute to improving the work conditions at care organizations. It shows that healthcare organizations can identify various benefits from the use of the EHR**, ** especially in terms of knowledge management and sharing to propose better medical services. The paper contributes to the existing empirical literature by demonstrating the confirmation of the D&M Model as a relevant instrument for IS success within the healthcare sector.