حمیدرضا رضایی کلیدبری

purpose: The purpose of this research is to provide a model of transparency in the Islamic Council of the Islamic Republic of Iran (with the approach of digital governance in the context of information technology). Method: The type of research is based on the fundamental objective, which is a mixed approach (qualitative and quantitative) with an exploratory design. In this article, only the qualitative part is mentioned. in the qualitative part with a phenomenological approach, the seven-step theoretical method of Kleizeri and the Delphi technique have been used. The statistical population of this research in the qualitative part includes experts in the field of transparency, whose number is 24 people. The data collection tool of this research was conducted in the qualitative part through individual, in-depth, semi-structured interviews, and then the data was processed. Findings: The model of transparency in the Majlis of the Islamic Council of Iran consists of five main categories, which are: informational, financial, supervisory and accountable, ethical and professional, which not only achieved the dimensions of transparency in the Islamic Council, but also the factors affecting the establishment The success of transparency, the consequences of establishing transparency, the obstacles to establishing transparency, as well as possible damages in the Islamic Council in case transparency is not established will also be discussed.

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.

The state of the world's environment reveals the fact that in recent decades, due to human activities and increasing consumerism, Earth has suffered irreparable damage and the world is witnessing unprecedented growth in environmental degradation, just as consumers activities can lead to deteriorating environmental conditions. The environmentally conscious behaviors such as green purchase behavior, can be agents of change, motivation and attention to the environment. The purpose of this research is to develop   a model for implementing green purchase behavior that recognizes the dimensions of this behavior to determine the effective factors, operational strategies, and consequences of its implementation.The overall approach is qualitative and Grounded Theory has been done. Using purpose foul and snowball sampling methods, semi-structured interviews were conducted with 13 experts from the field of business researchers and environmental activists.The results of data coding led to the identification of 448 initial codes which finally cited the approach Systematic in the given data theory, paradigm model show that causal categories (environmental belief, health concern, green attitude, mental norm), causal categories (green purchase behavior), background categories (economic indicators, government support for capital Eco-friendly investments, the country's environmental policies, the impact of green consumption culture), interventionist category (distribution of green products, financial and economic constraints of households and promotion, encouragement to green purchase), strategies (Indian market strategies, prices, innovation), and the consequence (at the macro-level including increasing the level of health in society, development, and growth of organizational performance and promoting green lifestyle and at the micro-level including preference to buy environmentally friendly products and increase the repetition of purchases behavior) Impact on the implementation of green purchases behavior.  

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.