درخت حوزه‌های تخصصی

In this paper, the European option pricing is done using neural networks in the Black-Scholes-Vasicek market. The general purpose of this research is to compare the accuracy of neural network and Black-Scholes-Vasicek models for the pricing of call options. In the sequel, the finite difference method is applied to find approximate solutions of partial differential equation related to option pricing in the considered market. In the design of the artificial neural network required for this research, the parameters of the Black-Scholes-Vasicek model have been used as network inputs, as well as 720 data from the daily price of stock options available in the Tehran Stock Exchange market (in 1400) as the network output. The approximate solutions obtained in this article, which were carried out by two methods of neural networks and finite differences on the Tehran stock exchange based on the daily price of stock options, are shown that neural networks are more accurate method comparing with finite difference. The comparison of pricing results using neural networks with real prices in the assumed market is presented and shown via diagram, as well. In this paper, the European option pricing is done using neural networks in the Black-Scholes-Vasicek market. The general purpose of this research is to compare the accuracy of neural network and Black-Scholes-Vasicek models for the pricing of call options. In the sequel, the finite difference method is applied to find approximate solutions of partial differential equation related to option pricing in the considered market. In the design of the artificial neural network required for this research, the parameters of the Black-Scholes-Vasicek model have been used as network inputs, as well as 720 data from the daily price of stock options available in the Tehran Stock Exchange market (in 1400) as the network output. The approximate solutions obtained in this article, which were carried out by two methods of neural networks and finite differences on the Tehran stock exchange based on the daily price of stock options, are shown that neural networks are more accurate method comparing with finite difference. The comparison of pricing results using neural networks with real prices in the assumed market is presented and shown via diagram, as well.

Human resources are the most crucial components of any organizational structure and developing a human resource model to improve the efficiency of organizations is crucial. This research aimed to design a human resource development model for municipal employees in Tehran province. To serve that end, a qualitative design was adopted and data was collected and analyzed based on grounded theory approach. The target population in this research included university professors and experts in human resource management. A total of 15 participants were selected for interviews using snowball sampling until theoretical saturation was achieved. The participants included both male and female with at least seven years of experience in their profession. The research utilized a semi-structured interview to establish a human resource development model for municipal employees. The interview prompts were developed by examination of various national and international models. Subsequently, indicators were identified through open coding and classified into components, and dimensions through axial and selective coding. Ultimately, 4 dimensions, 19 components, and 135 indicators were established for the human resource development model for municipal employees. Finally, the paper provides some implications for an enhanced efficiency in the performance of Tehran province municipalities considering the developed human resource model.

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.

In this article I draw attention to a little-studied phenomenon in the study of pilgrimage and sacred sites: how famed pilgrimage locations and routes may be replicated on a smaller scale in other locations. The article focuses mainly on Japanese pilgrimages, using primarily the example of the 1300-kilometre-long Shikoku pilgrimage, and shows how local small-scale versions of this pilgrimage developed historically throughout Japan from the seventeenth century onwards and were also taken abroad by Japanese migrants. A key factor in the development of these localised versions of the pilgrimage was that, for most people in earlier times, long distance pilgrimages were difficult if not impossible. Yet there was a widespread sense that such pilgrimages and the sacred figures associated with them were universal in nature and should be available to all. As such, localised replications on a smaller scale were developed so that those unable to go to sacred sites and make long journeys to distant famed pilgrimage sites, could have access in their own localities. While outlining key factors behind such developments in Japanese contexts the article shows that this is not something only evident in Japan; it is a phenomenon found globally and across numerous religious traditions and geographic settings. Examples are provided of similar developments in Catholic, Hindu and Buddhist contexts globally. In outlining some of the underlying implications of this phenomenon, of pilgrimages and sacred sites being replicated in localised versions, the article particularly highlights the issue of movement and mobility, a topic that has rightly been highlighted as an analytical theme in studies of pilgrimage. However, thus far, discussions of mobility and movement in pilgrimage contexts have focused on movement to and around sacred sites, and on the people—pilgrims—who do this. As the article argues, movement can also go the other way: of pilgrimages and sacred sites moving to where potential pilgrims are, and it flags up this issue along with the need for more research into replicated pilgrimages, as key areas of pilgrimage studies research.

Purpose : The purpose of this research is to provide a framework for innovative social media marketing strategies to address the impacts of health crises on small and medium-sized enterprises (SMEs). Method : This research is applied in nature, based on a survey-exploratory approach, and employs a qualitative methodology. The statistical population consists of experts in urban management and human resources management. Using the theoretical sampling method, interviews were conducted with 15 experts until theoretical saturation was achieved. The collected data were analyzed using content analysis. Findings : The research findings resulted in a comprehensive model comprising five main themes and eighteen sub-themes. These include: driving factors (online brand communities, social listening, customer participation marketing, prosumer (producer-consumer) influencer marketing, gamification), strategic factors (increasing engagement, product/service development, increasing brand awareness, creating word-of-mouth advertising, increasing brand credibility), facilitating factors (brand associations, strengthening brand identity), primary outcomes (correctly understanding consumer needs and opinions, creating value for consumers),  secondary outcomes (market development and new customer acquisition, sales promotion, loyalty promotion). Conclusion : The study provides a practical framework to enhance SME resilience through innovative social media strategies during health crises, emphasizing key driving, strategic, and facilitating factors along with their outcomes.