مطالب

In today's educational world, the importance of academic life skills and self-regulated motivation for students, especially in the senior high school, has been noted repeatedly. Thus, the purpose of this research was to investigate the effectiveness of teaching life skills and self-regulation of motivation on the academic motivation of female students of the senior high schools. This research is a quantitative applied study adopting a quasi-experimental design, with a pre-test/post-test and a control group. The statistical population included 31180 female students of the senior of high schools in Tabriz in the academic year of 2021-2022. From this population, 90 students were selected by multi-stage cluster random sampling method and were randomly divided into three groups with 30 participants. The control group received its traditional instruction while the first and second experimental groups received educational life skills and self-regulated motivation interventions respectively for eight sessions of two hours. The instruments included the academic motivation questionnaire (Vallerand et al., 1992). For data analysis, in addition to descriptive statistics, Shapiro-Wilk test, MANOVA, regression slope homogeneity test, Box's M Test, Leven test, MANCOVA, and Bonferroni post hoc test were used. The findings showed that the educational life skills and self-regulation of motivation training programs had a positive effect on the academic motivation of female students of the senior high schools. Also, motivational self-regulation training has a higher effectiveness in the academic motivation of the participants than teaching life skills. According to the results, it is concluded that the integration of educational self-regulation motivation and academic life skills training programs in the school environment can have positive effects on students. Schools and educational centers should look for ways to incorporate these skills into their curricula, so that students can develop the skills to manage their motivation and behaviors in a supportive and interactive environment. Also, it is important that teachers and trainers receive the necessary training to be able to effectively impart these skills to students.

This study aims to analyze and identify critical success factors of Total Quality Management (TQM) for evaluating organizational performance using a framework based on the Knowledge Management (KM) approach. Initially, the study determines the success factors of TQM and KM by reviewing research history, and then assesses the significance and performance of each factor through questionnaires. Data mining algorithms are used to cluster the factors, and a Data Envelopment Analysis (DEA) model is employed to evaluate the organizational performance by considering the success factors of KM as inputs and success factors of TQM as outputs. The Return-to-Scale (RTS) variable model is used to calculate the performance indicator for the organization. The study reveals that, while KM and TQM have some differences rooted in their distinct focus, they also have many similarities that can complement each other if properly planned.

This research aims to investigate the factors influencing the adoption of e-commerce in small and medium-sized companies using the push-pull framework and with a practical approach in companies that produce and sell building stones in Iran. This research is a descriptive survey correlation in terms of its practical purpose and method. The statistical population of this research is made up of all sellers and producers of construction stone in Tehran province, and with the help of G*Power software, a minimum sample size of 216 people was estimated; But for more certainty, 220 people were selected as samples. The partial least squares technique and Smart Pls software have been used to test research hypotheses. The results of the research show that pull and push variables have an effect on changing the behavior of the company from traditional retail to e-commerce. Perceived time savings by using e-commerce and perceived cost savings by using e-commerce affect supporting customers' information-seeking behavior. Understanding that small and medium-sized companies in the stone industry can provide better service quality and lower prices with the presence of e-commerce has an impact on the perceived value of e-commerce for small and medium-sized companies that produce and sell stones in the stone industry. An increase in sales due to expansion of market access, improvement of external market communication, quality of e-commerce site services, and customer support system on the website also affect understanding the attractiveness of e-commerce adoption for the company.

One of the goals of researchers and policymakers is to find measures to achieve economic growth. Financial development is one of the policies that many economists recommend in order to achieve economic growth and development. From this perspective, financial development is an engine for economic growth, and policymakers should focus on creating and expanding financial institutions and markets. The present study examines the impact of financial development and economic performance indicators including economic growth and international trade in developing and developed countries in the long run from 2001 to 2018. Data collection has been done by two methods, library, and field, to complete the literature and research background, refer to libraries and researches, and for financial and economic data, including financial development indicators in two sections: Bank- Index and Capital Markets Stock-Index, as well as figures for Gross Domestic Product (GDP) and international trade from the World Development Index (WDI) databases, are used. Developed countries, due to their technology and power in production, can carry out their industrial production and export to developing countries. However, developing countries do not see long-term equilibrium relationships for economic growth and international trade.

The bankruptcy of corporations causes huge losses for investors, managers, creditors, employees, suppliers, and customers. If someone understands the reason for the corporate's bankruptcy, then he can save the corporate from certain death with the necessary planning. Therefore, bankruptcy forecasting is the most important prerequisite for bankruptcy prevention. Due to this issue, the main aim of this article is the prediction of the economic bankrupt-cy of corporations in the Tehran Stock Exchange using group machine learn-ing algorithms. Financial ratios have been used as independent variables and healthy and bankrupt corporations as research dependent variables. The statistical population of the study is the information of financial statements of corporations on the Tehran Stock Exchange from the years 2004 to 2021. In this study, sampling is not used and corporations include two groups healthy and bankrupt. The bankrupt and non-bankrupt groups are selected based on the threshold of the Springate model. The research findings indicate that the accuracy of predicting the bankruptcy of corporations in the group learning model by stacking method is higher than other used models where the AUC and Accuracy Ratio were 0.9276 and 0.8247, respectively.

Discovering the best solution for assessing intercultural communication is a big challenge all over the world. Thus, the current paper tried to find various ways of intercultural assessment in Iran by introducing a bimodal assessment model. Therefore, the researchers selected thirty Iranian teachers through convenience sampling as the participants of the study. By using a qualitative design, the required data were collected and by using inductive content analysis, the results were analyzed. The data collected and analyzed from interviews and observation sessions revealed that Iranian teachers used a blend of traditional and communicative methods to assess intercultural issues in their classes. Portfolio assessment, performance assessment, dynamic assessment, self/peer assessment, written quizzes, dialogues, and discussion, interview, and presentation are among the methods of assessing intercultural communication in Iran’s context. This study is of high importance for language teachers because they can use the findings as tools for assessing intercultural content in their classes and for intercultural experts to introduce these assessment tools to teachers in their training courses. The bimodal assessment model as the final product of this paper could pave the way for Iranian teachers as an assessment model.

One of the most important destinations that has affected the world's tourism trends over the past decades is rural centers. The growth of short-term trips has transformed these destinations into major tourist centers, and this phenomenon is evident in the decrease in the average length of stay of tourists in many destinations worldwide. Villages are multi-purpose tourist destinations and play a significant role as centers of tourism activity. Archaeology has made significant contributions to the understanding of past cultures and civilizations and has brought fresh perspectives to the social sciences and arts. The methods of conducting archaeological research and the process of reaching desired results are of considerable interest to the general public, especially those who are interested in sensory and tangible exploration; therefore, the best approach to popularize archaeology is to establish its connection with tourism. Tourism shares common fields of knowledge and activities with archaeology and has made significant efforts in the development, preservation, revitalization, and enhancement of structures and monuments resulting from archaeological activities. Now, due to the common issues between archaeology and tourism, they can establish a close relationship in the cultural field. This research aims to focus on ancient and historical works as tourist attractions and as factors generating income and long-term development needs in this sector, which leads to the necessary groundwork for the sustainable development of tourism based on a historical and cultural approach. This analysis is a mixed methodological approach based on observation, interviews, questionnaires, and statistical data

One important issue in data envelopment analysis (DEA) which has been studied by many researchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage networks in returns to scale variable and introduced a new definition to determine return to scale classification in two-stage networks. The current article proposed an approach for determining the stability region of returns to scale classification in two-stage network DEA. The data were collected from insurance companies in Iran in 2019. We consider the insurance industry process as a two-stage network; the stage of marketing and that of investment. The effectiveness of insurance companies was evaluated, and, after determining the classification of returns to scale, we found a sustainability interval to classify returns to their scale.