فهرست مطالب ahmadreza kasraee

Banks always measure different factors in different ways to improve their performance. There have always been various types of research in the field of increasing and improving the performance of banks. In this paper, by using interpretive structural modelling, we try to examine the evaluated criteria in determining the performance of banks. We have examined eight factors, including employee productivity, deposit amounts and the number of deposits, the amount of granted facilities and the number of granted facilities, satisfaction with electronic banking services, the added value of housing prices, and the percentage of facilities paid for housing construction to predict the performance of Maskan Bank. The proposed method is a qualitative method that uses the opinion of 3 experts and the mode of experts' answers to the researcher's questionnaire, we are trying to provide a suitable model to determine the effective factors in improving the performance of banks. The results showed that the amount of granted facilities and satisfaction with electronic banking services were at the minimum level and were not affected by other factors. The added value of the housing price and the percentage of facilities paid for construction with the satisfaction of electronic banking services and the amount of granted facilities have a direct and bottom-up relationship, that is, the percentage of facilities paid for construction and the added value of housing prices are influenced by the satisfaction of electronic banking services and the amount of granted facilities. The amount of deposits is directly related to the percentage of granted facilities for construction and the added value of the housing price, that is, the amount of deposits is affected by the percentage of facilities paid for construction and the added value of the housing price. The number of facilities has a direct and bottom-up relationship with the amount of deposits, that is, the number of facilities is affected by the amount of deposits. The number of deposits and employee productivity has a direct and up-down relationship with the number of facilities, that is, the number of deposits and employee productivity is influenced by the number of facilities.

The development of new products is a strategic activity for many automotive companies to gain a competitive advantage. This requires the examination of variables that affect the performance of new product development. This article evaluates the impact of green supply chain management processes on new products at Saipa Automotive Company.

The research method is descriptive and survey-based. The research population includes managers from various departments at Saipa Automotive Company. Data were collected using a field method and a questionnaire with a convenience sampling technique. For data analysis, the Structural Equation Modeling approach with Partial Least Squares and the PLS software were used.

Findings indicate that internal processes positively impact green practices. Furthermore, the impact of variables such as green supply chain actions, environmental characteristics, and supply chain agility on supply chain value creation was positive. Additionally, the results showed that supply chain value creation significantly impacted the development of new (green) products.

Therefore, it is recommended that automotive industry companies use customer ideas in developing green products and seek their opinions on products and their modifications to enhance supply chain value creation and product quality.

In an era that has been exposed by growing environmental concerns and the urgent need to review the common methods of producing agricultural products and achieving sustainable agriculture, the use of "green technologies" has emerged as the final solution. The identification of factors driving the development of emerging green technologies to achieve sustainable agriculture was carried out. The type of descriptive-survey research and its statistical population were technology experts in the public and private sectors and users of emerging green technologies, 314 of them based on the table of Karjesi and Morgan by random sampling with proportional assignment. were investigated. The tool of data collection was a questionnaire, the validity of which was obtained by referring to experts in agricultural technologies, and the calculation of Cronbach's alpha coefficient (0.931) confirmed its reliability.Data were classified by SPSS version 21 software and exploratory factor analysis technique. The results showed that seven factors include the realization of sustainable agriculture, increasing efficiency and productivity in production, improving the form and quality of agricultural products, optimal use of production factors and cost reduction, penetration of green technologies in the agricultural production system, development of technology culture and innovation. In the society and increasing public awareness of emerging green technologies, more than 75% of the total variance of the factors promoting the development of emerging green technologies to achieve sustainable agriculture are explained.

This research looking for design and explain a comprehensive model that can be used to evaluate organizations according to indicators of an intelligent organization.

Design/methodology/approach:

The research is an applied developmental one in terms of purpose, which follows descriptive survey method in terms of nature and methodology. The statistical population of Delphi panel is 20 experts in the field of management and the statistical population of the Case Study is the managers and senior experts of the Social Security Organization. data collection tool contains dimatel interviews that used Delphi technique in three stages to designing it. Data analysis was conducted through DANP (DEMATEL-ANP) technique to obtain cause and effect relationships and the weight of the indicators.

According to the results, technological intelligence (2 indicators) with a weight of 27.52, structural intelligence (4 indicators) 25.6, Intra-organizational intelligence (3 indicators) 23.81, Extra-organizational intelligence (3 indicators) 23.06, Also among 12 indicators, Knowledge management, information technology and systematic thinking were identified as the most important indicators of smart organization.

Limitations & Consequences:

 Due to the specialization of the components of the smart organization, there was a concern that the respondents would not have a uniform understanding of the concepts, so each of the concepts was explained.

Practical Consequences: 

the practical result of this research is a comprehensive model that can be used to evaluate organizations according to the dimensions and indicators of intelligent organization.

Innovation or value of the Article:

Intelligent organization is an important part of strategic integration and alignment in e-government. Also, in terms of the approach in the usual method using the Demetel method and ANP, many influences and relationships may be eliminated. In the DANP method using the total communication matrix to form the ANP supermatrix and calculate the weight of the criteria and sub-criteria.

Purpose of this research was to structure the problem of establishing a knowledge management system in Oil industry using a combination of factor analysis and DEMATEL approach to identifying the effective factors in the form of causal relationships to understand planners from the problem position and visualization of structures a complex relationship between factors. Firstly, the organizational infrastructure affecting the establishment of the knowledge management system using exploratory factor analysis with participation of the Deputy Directorate for Development and Human Capital Management through a questionnaire with a statistical population of 263 people and a sample of 158 were gathered. Based on findings, three main factors including culture, human resources and organizational structure and 13 infrastructures influencing were identified. Then, with the participation of the decision makers using the DEMATEL technique, the map of the effect of the relationship between the effective organizational infrastructure and the causal relationship diagram was extracted.