درخت حوزه‌های تخصصی

The positive impacts of fiscal policy could be undermined when accompanied by uncertainty. We examined the effect of fiscal policy uncertainty on economic activities in the provinces of Iran. It includes production, investment, unemployment, and economic participation of the active workforce in these provinces, taking into account the effects of economic sanctions imposed on the economy. We employed two types of shocks: fiscal level shock (representing fiscal policy) and its volatility shock (as fiscal policy uncertainty), which derived from a specified fiscal reaction function. We estimated a Panel VAR model using provincial data from 2003 to 2020. The results of the impulse response function indicated that following the impulse in the fiscal policy uncertainty, the response shows an increase in the unemployment rate in the short run, a decrease in the capital investment, and an increase in the inflation rate in the short and medium terms. In the medium and long term, the response indicates a decrease in GDP growth and a reduction in the economic participation rate of the active workforce.

This study explores the considerable significance of candlestick chart patterns as a foundational asset within the realm of stock market analysis and prediction. As a graphical representation of historical price movements and patterns, Candlestick charts offer a distinct and valuable perspective for understanding how the financial market operates. This perspective assists us in accurately pinpointing the most advantageous times for making decisions to buy or sell financial securities, such as stocks or bonds. These charts provide insights into market trends and potential trading opportunities. We adopt an innovative approach by harnessing image processing techniques to extract and analyze patterns from Candlestick charts systematically. Our findings underscore the pivotal role of visual data in financial analysis, particularly in times of market volatility and uncertainty. Investors often resort to technical analysis strategies when confronted with erratic market trends, often relying on insights derived from chart-based analysis to guide their decision-making processes. By meticulously extracting essential insights from candlestick charts, our study aims to provide investors with more efficient and less error-prone tools. Ultimately, this endeavor contributes to the enhancement of decision-making precision and the mitigation of risks inherent in participating in the dynamic stock market landscape.

It is argued that in our current digital era, MALL (mobile-assisted language learning) is an indispensable mode either for independent self-learning or for integrating with the school curriculum. The present study explores the possibility of using gamification as a home assignment in English as a foreign language course for students of non-English majors at a university in Vietnam. Data was collected and analyzed using 69 questionnaire responses and 41 essays written by students in a class of General English. The questionnaire and essay topic prompt required students to provide an evaluation of their personal experience learning English with Duolingo outside the classroom, as part of the compulsory home assignments during a 15-week semester. The questionnaire items were in Vietnamese and the essays were either in Vietnamese or English for students’ convenience. The results showed detailed benefits and problems of learning English with Duolingo as perceived by the students. The key benefits include the fact that Duolingo is a valuable resource: rich and free; the limitation is mainly learners’ lack of experience with the application. It is suggested that with teachers’ guidance, Duolingo could be used as an effective and motivating tool for independent learning.  

Cet article présent, nous ne projetons en aucune façon d'établir ou de définir ce qu'est l'art, dont l'œuvre d'art en ontologie. Ce n'est pas notre préoccupation aujourd'hui, et non plus davantage de la plupart des artistes contemporains. À la recherche d'une ontologie bien particulière sur l’œuvre d’art contemporain, Roger Pouivet, le philosophe contemporain français, l'appelle « l'ontologie appliquée ». Il s’agit de considérer l'œuvre en tant que telle, sans se préoccuper des catégories fondamentales qui la possèdent. À ce stade, il paraît nécessaire de parler du changement de paradigme dans le champ d’arts plastiques, qui résulte de l'apparition des œuvres des textes écrits ou oraux.  En ce qui concerne le concept de « Zugganzes » de ’Heidegger, il faut bien comprendre, quoi qu'il en soit, le cumul des éléments nécessaires jusqu’à ce que l’établissement d’un système s’achève. Cela veut dire que pour un processus de créer une œuvre d'art contemporain il explique qu’à la fois chaque élément a son rôle clé, même indispensable, et une mission pour compléter le rôle des autres éléments. Au fur et à mesure de cet article, nous répondrons aux questions de recherche : 1) Comment peut-on mettre en avant un processus de détermination d'une œuvre d'art qui s'enrichit des textes écrits ou oraux, en époque contemporaine ? 2.) Pourquoi et pour quelle raison a-t-on choisi de mettre en lien les deux concepts de « Zugganzes » et de l'hypothèse de « l'ontologie appliquée » dans ce travail de recherche ? Cette recherche essaye de nous montrer que: les œuvres d'art contemporaines qui sont considérées comme des textes visuels enrichissent des textes écrits ou oraux. En effet, cet acte vise à attirer l'attention des spectateurs en tout temps et en tous lieux. À la fin, on comprendra qu’il est possible de créer visuellement des textes symboliques en pratiquant simultanément les textes écrits ou oraux comme des éléments visuels et en profitant de leurs contextes.   

This study aimed to analyze the factors that influenced millennial use of E-recruitment (online recruitment), through the Technology Acceptance Model (TAM). In this regard, TAM was extended by incorporating trust and privacy in the context of millennial technology adoption. A cross-sectional quantitative survey was carried out, utilizing purposive sampling of millennials who used the E-recruitment platform. The data were obtained from 270 respondents and analyzed with Partial-Least Squares Structural Equation Modeling (PLS-SEM) to explore the relationships between the factors. The results showed that perceived ease of use and trust had a significant influence on millennials’ intention to use E-recruitment services. Meanwhile, perceived usefulness and privacy did not have a significant influence. Intention to use E-recruitment services was a strong predictor of actual use. This study provided a practical understanding for human resource professionals and organizations that aim to improve E-recruitment strategies. It was emphasized that ease of use and building trust were important criteria used for promoting adoption among millennials. Future studies are recommended to use diverse samples and investigate the impact of technostress and cultural factors on E-recruitment adoption. In addition, it is necessary to evaluate employers’ perspectives, which can provide a more in-depth understanding of technology adoption in E-recruitment.

Objective: The tourism sector, a significant component of the global service industry, is vital for a nation’s economic development and income generation. Therefore, it is essential to ascertain the factors influencing the demand for this type of service. The main aim of this study is to examine the impact of exchange rates on tourism demand in Iran. Methods: This study examined the long-term and short-term relationships between Iran’s tourism arrivals and variables such as the exchange rate, political risk, and other factors influencing tourism demand, including inflation, foreign investment, oil revenue, GDP, and population, employing time series data from 1995 to 2024 and the Dynamic ARDL simulation method. Results: The results indicate that political risk significantly detrimentally affects Iran’s tourism demand, whereas the exchange rate has a notable positive influence. Since 2010, when the fourth round of sanctions began, political risk has escalated owing to internal and external conflicts, negatively impacting international tourism demand. Conclusions: The interplay between exchange rate variables and political risk was found to positively influence tourism demand. The increase in the exchange rate decreases the costs of tourism services, and also stimulates creative business endeavors in the tourism industry.

The present study intends to extend the current ancillary understanding horizons of the developmental theory of individual-differences relationship-based (DIR) framework and emotioncy framework, to investigate aspects of emotioncy tensions that include identity-related attitudes, behaviors, and beliefs by providing "what-to-do" information when enacting identity tensions. Through validating the Student Identity Emotioncy Tension Scale (SIETS), the researchers suggested that social identities are also associated with specific emotional tensions by providing "what-to-feel" information during identity enactment. To do so, a total number of 300 students filled out the scale. In the validation process, statistical procedures were exerted to validate the scale. First, Exploratory Factor Analysis (EFA) was used to ascertain the underlying factors. Then, Principal Component Analysis (PCA) and Communalities were checked for the relevance of component variance. Cronbach’s coefficient was used to check the reliability of the 18 items. The results indicated that the scale can be best explained by a three-factor solution with an acceptable reliability. In the qualitative phase of cognitive interviews, students were interviewed to further examine the quality of the items. In the end, the findings were elucidated and implications for future research and practice were presented.