مهرداد گودرزوند چگینی

Evaluating the performance of countries in international markets and measuring how they utilize allocated resources provides a lucid picture of the state of business management in countries also assessing performance sustainability in international markets, is one of the important issues in predicting international trade. In international markets knowledge of countries' performance leads to the recognition of their economic and non-economic management statuses even more it is used to allocate financial support of global organization. In the present article, an attempt was made to design a model capable of examining the performance of nations in international markets by both economic and non-economic dimensions in the presence of undesirable factors and two preparation and exploitation stages of existing platforms and also assessing the sustainability of countries' performance in the studied period which is quite innovative. Then, data from 21 countries, from 2010 to 2017 were evaluated to test the model. The results indicated that the model is capable of examining the performance of countries and assess the sustainability of the countries over a period of time. According to the results of this model, an attempt was made to evaluate Iran's performance status among homogeneous countries and provide a roadmap for enhancing Iran's performance

The purpose of this study is to develop a model of positive organizational behavior with an emphasis on environmental consequences and also to investigate the relationship between the characteristics of positive organizational behavior with individual, organizational, and environmental consequences. This is an applied research with an integrated method (qualitative-quantitative). The statistical population of the study included water and sewage industry experts and faculty members (20 people) who were sampled by snowball technique. For the quantitative part, 120 water and sewage workers in the country (2019-2020) were selected through the relative selection technique. Data collection tools include semi-structured interviews and researcher-made questionnaires. Qualitative data were analyzed by open, axial, and selective coding methods, and MAXQDA11, Smart PLS2, and SPSS23 were used to analyze the content of data and validation. In the quantitative part, content validity is used. The reliability and evaluation of measures were estimated by Cronbach's alpha coefficient method (89%). Findings from the present study showed that positive organizational behavior can be analyzed in five levels (individual, group, organizational, social, and environmental) and in the form of six categories (causal factors, characteristics, strategies, platforms, interventionists, consequences). Also, positive organizational behavior has a positive and significant relationship with environmental (0.711), behavioral (0.631), organizational outcomes (0.685). Therefore, it is necessary to model successful and leading organizations in the field of positive organizational behavior, training and holding workshops in the field of environment, creating a positive organizational atmosphere in order to achieve sustainable development of the environment.

In recent decades, mentoring has been hailed as an important human resource management strategy, a career tool, and a learning activity in the workplace, and has played an important role in enhancing the positive outcomes of a high-performance work system. Therefore, the purpose of this study is to provide a model of mentoring system in the Ministry of Interior based on a mixed approach. First, based on the data theory of the foundation, 12 experts were interviewed. Sampling was done purposefully with a network of experts and continued until the theoretical saturation was reached. According to the research model, causal, pivotal, contextual, interventionist, strategic and consequences variables were identified. The results showed that mentoring will have consequences such as increasing knowledge sharing, organizational performance excellence, productivity, job satisfaction, psychological well-being, client satisfaction, increasing public trust in the organization, increasing trust in government and improving political understanding. For quantitative validation of the model and study of component relationships, the structural equation modeling approach was used using the partial least squares method using smart-PLS software. The statistical sample of this department was 237 managers and experts of the Ministry of Interior. The results of the quantitative step showed that the relationships in the model with appropriate impact coefficients were confirmed.