فصلنامه پژوهش های مدیریت منابع سازمانی
سال هشتم شماره 4 (پیاپی 32، زمستان 1397)

Organizational structure determines the scope of decisions, tasks, responsibilities, goals, perspectives and rewards for achieving results. In recent decades, due to environmental changes and dramatic technological advances, organizational structure has changed from mechanical to organic. The purpose of the restructuring is to facilitate the achievement of the organization's goals. Organizational type has an impact on performance measurement criteria and organizational performance is influenced by these factors. The purpose of this study is to examine organizational performance with the focus on financial and structural variables. This issue was first examined by combined research methodology. For this purpose, the required information for organizational performance and financial performance measurement was collected from the financial statements of the companies accepted in Tehran Stock Exchange. Required data for organizational structure and non-financial variables were evaluated through scrutiny. In this regard, 170 sample companies were selected and electronic questionnaire was sent to financial managers and 127 complete samples were received. The results showed that companies with organic structure emphasized on performance measurement and performance measurement in organic structures was causally causal And quite advanced. The findings also suggest that the impact of performance measurement criteria on organizational performance in mechanical structures is more organic, but in organic structures with improved performance or causal performance assessment, organizational performance is better.

Loading and hauling represent an important part of open pit mines production cycle and account for a considerable share of the total operating cost. The decision making during mine planning requires suitable and quick cost models. This paper intends to develop a model for estimating the capital and operating cost of major loading and haulage equipment used in the open pit mining, applying single (SRA) and multiple regression analysis (MRA). The MRA is based on Principal Component Analysis (PCA). The equipment include classical loading vehicles including hydraulic and cable shovels, wheel loader and backhoe along with rigid rear dump truck. Cost functions are classified on the basis of cost types; i.e. capital and operating costs. Furthermore, a set of functions is presented for operation cost items. Explanatory variable in SRA is bucket capacity of loading and hauling while explanatory variables in MRA include bucket capacity, power and certain specific parameters (including dump height, digging depth and boom length) depending on the proposed equipment. The performance of each multivariate cost function has been measured through the Mean Absolute Error Rate, whose maximum was found to be 17%.

In the current century, the world is full of competition and unreliable environmental factors.The prerequisite for success in this field is to pay attention to the organizational culture and its changes. This paper is studying “process of strong breaking and weak training culture in Iranian state organizations”. Considering the research methodology, and using the theory of database, a suitable model was designed and tested. A sample of 25 university elites and experts selected by Snowball method, and with the help of exploratory and coding-focused interviews, 16 categories and 72 concepts obtained and then the final model presented with focused coding and selective coding. The proposed model tested and confirmed through data gathered by a validated questionnaire from 385 managers and experts of governmental organizations. In the outputs of confirmatory factor analysis LISREL8.80 software, since the factor loads of all standard model items are higher than 0.3 and the coefficients of the significant model are all above 1.96, also, fitting table indexes indicate that the model is appropriate, so all factor loads and path coefficients are meaningful. Therefore, not only the validity and reliability of the questionnaire confirmed, but also the relationships between the components of the model are acceptable. In the output of modeling the structural equations of SmartPLS software, since all the coefficients of the meaningful model are higher than 1.96, 95% of the results confirm the validation of the governing relationships on the components of the proposed model. That is, they have significant impact on each other and their path coefficient is showing the amount of effectiveness.

Nowadays, with the intensification of competition in various business areas, especially service industries, organizations achieve their goals such as creating a positive attitude in the target community, creating customer satisfaction with the services provided, and ultimately gaining more profit, seeking to create and use Optimized for their competitive advantage over competitors. This is especially true in the private sector, given the important position of the customers, and it can be argued that the more their competitive advantage is more stable, they can be more successful in this regard. Considering the importance of this issue and the necessity of examining the effect of sustainable competitive advantage on brand image of the organization, the present study has been conducted with a descriptive / survey approach and with a developmental and applied purpose. More than 489 questionnaires were distributed among customers and users of private hospitals in Mazandaran province. In the validity of the questionnaire, the content / content validity and convergent and divergent validity were used. To determine its reliability, Cronbach's alpha method (84%) and combined reliability method (81%) were used. The results of the research showed that the sustainable competitive advantage of an organization can be influenced by brand marketing strategies through appropriate marketing strategies, which depends on the social interactions of customers as a moderating variable.

design of two phrase mathematical model for green supply chain Green supply chain has attracted considerable attention of the governments and organizations over the past decades. The objective of this research is to suggest an integrated approach for green supply chain management including two stages. In the first stage, a TOPSIS-Fuzzy approach was presented to consider uncertainty in human’s judgment. In the second stage, we applied a robust Multi Objective Mixed-Integer linear Programming model to design the green supply chain network. Although many researches have been conducted on green supply chain management, most of them have not given enough importance to integrate decision making in supply chain. Moreover, most of former researches assume that supply chain is a balanced system. Also very few studies have considered carbon emission and the related issues in supplier evaluation which cause on overall warming and pollution of the planet. The model was designed for an active company in glass industry. results have revealed that the model is capable of controlling the network uncertainties.

Today, developed and developing countries are focusing more on environmental issues and development. The present study aims to provide a model for the establishment of green human resources management in the entrepreneurship ecosystem. The purpose of this research is in the field of applied research, and since it describes the variables and relationships between them, the recognition of the status quo and finally the presentation of the pattern of deployment, is descriptive-survey method. The statistical population of this research includes relevant experts. In order to reach the consensus, 27 people were studied by interview method and the required information was collected. To analyze qualitative data and to extract factors affecting HRM and its influential factors, the method of analysis of the theme (theme analysis) was used. Structural-interpretive modeling has been used to identify the relationships between variables and the deployment of green human resources in the entrepreneurship ecosystem. The findings of the research include explaining the green human resources management model in the entrepreneurship ecosystem and analyzing the results of infiltration-correlation; the existing model is a model for different businesses with the aim of establishing a green human resource management in the entrepreneurship ecosystem. The research findings show 18 dimensions for the establishment of green human resources management. The research results indicate the impact of green human resource management on entrepreneurship ecosystems and green thinking and sustainable development, and ultimately globalization.