درخت حوزه‌های تخصصی

This study explores the detailed experiences and coping mechanisms of Iranian English as a Foreign Language (EFL) teachers about teacher immunity in the Iranian educational setting. A total of thirty experienced instructors of English as a Foreign Language (EFL), with an average age of 32 and an average teaching experience of nine years, were selectively chosen to take part in comprehensive interviews conducted in the Persian language. The study utilized the grounded theory technique, where interviews were transcribed and systematically analyzed using MAXQDA. The results highlight the crucial significance of a conducive work atmosphere, opportunities for professional growth, and efficient communication in enhancing teacher resilience and immunity. Peer support, strong administrative support, and favorable school rules play a vital role in cultivating a culture of mutual assistance that is essential for teacher resilience. Professional development programs improve educators' ability to adapt and increase their job happiness. The autonomy to make decisions also strengthens their resilience. Additionally, it is crucial to prioritize a good equilibrium between work and personal life, even if it might be difficult due to the blurring lines between these two domains. Mindfulness techniques and seeking social support are crucial coping methods that effectively reduce stress and burnout among teachers. This study examines how individual traits, environmental factors, and coping techniques influence teacher immunity in the Iranian EFL teaching context. The acquired insights provide useful assistance for creating interventions that aim to improve the well-being and productivity of teachers and, ultimately, the quality of education.

This qualitative phenomenological study explored the culture of virtual education in Iranian higher education, focusing on the lived experiences of 31 professors and students. Employing structured interviews and thematic analysis, the research identified one overarching theme and six primary subcultures: interaction and communication, scientific and academic processes, emotional dynamics, exclusion, acceptance, and neutrality. The findings revealed that virtual education reshapes traditional academic norms by enabling wider scientific communication, reducing knowledge monopolies, and increasing collaboration across institutions. However, challenges such as diminished emotional connections, weakened academic commitment, increased superficial learning, and reduced in-person engagement also emerge. Students' and professors' attitudes toward virtual education varied, ranging from full acceptance to indifference. These orientations are influenced by personal values, learning styles, technological familiarity, and institutional support. While virtual education fosters academic freedom and access, it simultaneously disrupts emotional and spatial dimensions of learning environments. The study concludes that understanding the cultural dimensions of virtual education is crucial for policymakers and educators to enhance its effectiveness. Tailoring educational planning to account for emotional, structural, and communicative factors will be essential in ensuring the long-term sustainability and equity of virtual education in higher education contexts.

Objective : In the Fourth Industrial Revolution, advanced technologies are revolutionizing supply chains by enhancing data collection, processing, and analysis across material, financial, and information flows. This shift enables businesses to adopt intelligent supply chain processes with unprecedented efficiency. The integration of intelligent strategies and process-oriented approaches, supported by tools like Intelligent Business Process Management Systems (iBPMS), holds transformative potential for supply chain management, paving the way for Intelligent Supply Chain Management (iSCM) models. This study aims to identify the key dimensions and sub-dimensions of intelligent supply chain processes within the context of Industry 4.0 technologies. Methods : The research employs a meta-synthesis methodology, systematically reviewing peer-reviewed literature and international publications from 2016 to 2025. Following strict meta-synthesis protocols, the study involved keyword screening, thematic evaluation, and iterative refinement, resulting in a curated selection of 62 high-impact journal articles and 4 seminal books. These sources underwent rigorous validation to ensure scholarly relevance before analysis.  Results : The findings identified 117 open codes related to intelligent supply chain processes, which were consolidated into 18 core codes and further classified into five key dimensions: (1) Intelligent Supply Chain Management (covering SCM and intelligent procurement); (2) Process Intelligent Automation (including automation approaches, intelligent processes, and equipment); (3) Process Management (focused on process-oriented approaches, systems, and modeling); (4) Technological Infrastructure (encompassing emerging technologies, ICT infrastructure, software maturity, and robotics); and (5) Macro & Structural Dimensions (addressing managerial, industrial, e-business, market, and organizational factors). Conclusion : The study concludes that Industry 4.0 technologies—such as IoT, AI, blockchain, robotics, and big data analytics—facilitate advanced data-driven supply chain management. When integrated with iBPMS, these innovations enhance efficiency, agility, and end-to-end visibility, establishing a foundation for next-generation intelligent supply chains