مطالب

The prices accepted by consumers in the market are influenced by the characteristics of the goods, based on consumer behavior. Each of these features contributes to the price agreed upon by both consumers and suppliers. The packaging of a product plays a crucial role in attracting consumers and protecting the product from damage. High-quality and visually appealing packaging can create a positive perception among consumers, potentially resulting in a higher price point. Additionally, specialized packaging techniques designed to preserve freshness and extend the shelf life of oil can also impact the price. This study investigates the impact of quality and packaging on the price of sunflower oil in Iran. The primary objective was accomplished using the hedonic pricing method. Given the qualitative and ordinal nature of the dependent variable, the ordinal logit model was employed. The sample size was determined through a two-stage cluster sampling approach, which involved collecting 350 questionnaires from consumers in Tehran city. Statistical analysis was conducted using Shazam and Stata software. Numerous factors influence the consumption of sunflower oil at various levels. However, in general, factors such as increasing age, higher income levels, the presence of diseases, and dietary considerations contribute to a decrease in its consumption. On the other hand, factors like improving product quality, enhancing the quality of oil packaging, increasing consumer loyalty towards edible oil, and rising online sales of this product contribute to an increase in its demand.

Iran’s agricultural exports have grown significantly in recent years. Cropland products (HS07) have become the second most important group in Iran’s agricultural exports over the last years. However, few studies have investigated the export potentials of cropland products. Therefore, this study aims to determine the main factors of Iran’s cropland products exports and calculate the export efficiency and potential in the trading partners. For this aim, the stochastic frontier gravity model is estimated based on balanced panel data covering 21 importing countries over the period of 2001 to 2021. The results indicated that economic and physical size of importing countries have positive and significant effect on the exports of Iran’s cropland products. In addition, common border between Iran and trading partners and economic sanctions have also positive and significant effect on the cropland products exports, while geographical distance between Iran and importing countries has negatively effects on the exports. The results of export efficiency showed that Iran does not have 100 percent efficiency in any destination market over the period of 2015 to 2021. Iran has an export efficiency of more than 50 percent only in Afghanistan, United Arab Emirates, Canada and Iraq. According to the results, Iran has the highest potential for exports of cropland products in Iraq. Hence, considering the high potentials in neighboring countries and significantly positive effect of common border partners, it is suggested that trading countries with common border like Iraq should be a top priority for the exports of cropland products.

The present research explores the trajectory of changing emotions throughout the lifelong experience of English language learning and language use among English-as-an-Additional-Language (EAL) students at a Vietnamese university. It employs a qualitatively-driven mixed methods research design with two phases of data collection using initial and exploratory self-designed questionnaires, followed by semi-structured interviews and reflective journals. The quantitative data, collected from English majored students aimed to capture the range of emotions the participants experienced in speaking English. The qualitative data, collected from the students recruited from the questionnaire phase, revealed the complexity and dynamism of their emotions in the process of language learning and use. The findings show that the participants experienced shifting emotions across the different contexts of language learning, including school, out-of-school, and tertiary contexts. The emotions were seen to be dynamic, socially and contextually constructed, emerging from their social circumstances and interaction with others. They were interwoven with self-concept, language learning success, perceived standing in different communities, and relationships with others. The results also provide theoretical and practical implications for emotion research and pedagogies of EAL teaching and learning.

Digital twin-enabled neural networks will develop innovative processes in feature selection and simulation. In addition, this methodology will have development in autonomous driving, natural language processing, healthcare, and many other fields. Recently sensors have been widely used for environment monitoring, and massive data has to be processed efficiently and effectively, which requires managed neural architectures for sustainable computing. The sustainable digital twin-empowered architectures create new biological evolution simulation algorithms and intelligent system architectures for supervised and unsupervised learning. Some of today's fundamental artificial intelligence issues, including adaptive machine learning and neuromorphic cognitive models, can be overcome by this methodology. The goals of this special issue on digital twin-enabled neural network architecture management for sustainable computing aim to pay attention to the researchers and industries towards recent advances in decision-making algorithms, neural network models and architectures for faster processing.

Social media is a popular data source in the research community. It provides different opportunities to design practical applications to favor humanity and society. A significant amount of people consumes social media content. Thus, sometimes content promoters and influencers publish misleading and toxic content. Therefore, this paper proposes an unhealthy content filtering system using the information retrieval model SOIR to identify and remove poisonous content from social media. The Semantic query Optimization-based Information Retrieval (SOIR) uses Fuzzy C Means (FCM) clustering to produce a particular data structure. To incorporate a query generation technique for the generation of multiple queries to increase the probability of correct outcomes. The SOIR model is modified in this work to utilize the model with the social media toxic content filtering model. The model uses linguistic and semantically information to craft new feature sets. The Part of Speech (POS) tagging is used to construct the linguistic feature. Finally, the pattern-matching algorithm is designed to classify the tweets as toxic or nontoxic. Based on lexical and semantic analysis of similar semantic queries (Tweets), it is identified with the class labels of the tweets. Twitter text posts are used to create training and test samples in this context. Here, a total of 2002 tweets are used for the experiment. The experimental study has been carried out with the different I.R. models (K-NN, Cosine) based on precision, recall, and F1-Score demonstrating the superiority of the proposed classification model

This scientific research aims to investigate the role of reinforcing or limiting the factors affecting fraud-based behavior in companies with opportunistic tendencies on companies' financial decisions. Opportunistic tendencies provide the context for directing many financial decisions to protect the interests of particular groups. On the other hand, the intervention of some internal and external factors limits the possibility of taking advantage of such opportunities or provides the conditions for their use. Studying the subject of fraud and its effects on financial management is crucial, notably with a systematic approach, implying this study's applied objective. Based on the provided comprehensive model, According to the comprehensive model, the present study is intended to explain the current situation in relation to the role and importance of three categories of trust factors, audit quality and political communication on the process of influencing fraudulent behavior on financial decisions such as profit management, risk management, capital structure and The ownership structure of companies has been discussed with the aim of controlling the effective factors in this field. This research is applied in terms of objective. It draws upon a descriptive and survey methodology. The statistical population contains managers, financial experts, and professionals from companies listed on Tehran Stock Exchange. A sample of 348 individuals was selected, and the collected data was analyzed using Structural Equation Modelling (SEM) and the PLS-Smart software package. Findings suggest that fraud significantly affects financial decisions, demonstrating the significant role of trust in mediating between fraud and financial decisions. The Sobel test confirms this role. The research also confirms that the mediating role of political relations and auditing quality in the relationship between fraud and financial decisions is significant in this model.

The purpose of this study is to determine Staff Performance Competencies and Information Security: An Analysis of the Role of Library Software System Development. The statistical population in the qualitative part was 18 specialists and professors in the field of information science and computer science, and in the quantitative part was the staff of the central libraries of the Islamic Azad Universities of Iran. The results showed that there is a significant relationship between functional competencies and information security management with the mediating role of library software system development. These results will be useful in identifying the effects of library software system development and staff performance competencies in information security management of libraries of the Islamic Azad Universities in Iran. This article is the only article that simultaneously examines the role of human factors and the role of non-human factors (software system development) in information security in academic libraries. Therefore, in the future, researchers may obtain more variables to obtain Combine a clearer picture of information security in libraries. This analysis helps researchers in the field of librarianship to understand the growth and development of software systems. This article is one of the first recent attempts to understand the research work in the field of library software system development by considering the role of staff performance competencies.

Service supply chain management is a tool for predicting, planning, implementing, and controlling supply chain processes with the aim of meeting customer needs and gaining their satisfaction, which includes coordination, integration and product control, information, and cash flow within the organization and between partners. The purpose of this article is to evaluate the structural model of the performance of the sustainable supply chain of the service sector (experimental witness: Social Security Organization of the country). The research method was mixed (qualitative-quantitative) and descriptive survey. In the qualitative part, a semi-structured interview was used to collect information, and 15 experts in this field were interviewed. And in a small part, the opinions of 384 experts, managers, and employees of sample social security branches of the country have been used. The results obtained from the qualitative technique with the method of thematic analysis to the inductive approach (based on data) and the model of Brown and Clark (2006) indicate the extraction of 3 dimensions, 10 components and 47 indicators in relation to the dimensions, components and indicators affecting the evaluation of sustainable supply chain performance. He has served in the social security organization of the country. The findings obtained from the quantitative technique using structural equations show favorable reliability and validity coefficients, while the T statistic for all three dimensions is greater than 1.96, which indicates that the mentioned indicators correctly represent this structure. have been measured, and also factor loadings have a value greater than 0.7, which has shown that there is an acceptable correlation between indicators (observable variables) and components (hidden variables) with the main structure (economic dimension). In order to prioritize the dimensions of the supply chain performance evaluation in the social security organization, the best-worst BWM technique was used using LINGO software, and the results showed that the social, economic, and environmental dimensions were ranked first to third, respectively. In the end, practical suggestions for creating an evaluation and encouraging mechanism for sustainable actions in the organization, creating a system for measuring and monitoring the performance of the supply chain, etc. were presented.