نشریه مطالعات کمی در مدیریت
سال سیزدهم شماره 2 (پیاپی 49، تابستان 1401)

The main purpose of this study is to investigate the intellectual capital model in state-owned banks of the Islamic Republic of Iran. The present study is a quantitative research in terms of applied purpose and in terms of the nature of the data. The statistical population of this study was all managers of state-owned banks in the Islamic Republic of Iran, numbering 1100 people. The statistical sample of 285 people was selected by stratified random sampling method according to Morgan table. The research tool included a researcher-made questionnaire. The collected data were analyzed using descriptive statistics and structural equation modeling using SPSS22 and Smart PLS2 software. The validity, reliability and quality of the research model were confirmed. Based on several models of measuring intellectual capital presented by previous researchers, intellectual capital is classified into human capital, structural capital, innovation capital and customer capital. In this research, a qualitative index system has been designed for the above four elements of intellectual capital by analyzing their content. Through empirical study in state-owned banks, it was found that there is a significant relationship between the scores of the four elements and its business performance, which proves the validity and rationality of the intellectual capital measurement model and the system of indicators. In the meantime, further empirical study proves that there is a significant relationship between the four elements of intellectual capital. Therefore, banks must manage and improve their intellectual capital from an integrated perspective.

The current research was conducted with the aim of investigating the integrated management of earthquake threat in the drinking water supply chain process. A combined method was used to conduct this research. The statistical population in the qualitative phase was 14 experts in the field of water and wastewater, and in the quantitative phase, the employees working in the regional water company of Guilan province, from whom, 230 people were selected by non-probability method. In order to analyze the data, content analysis and structural equation modeling method and Smart PLS 3 software were used. The findings showed that there was a positive and significant relationship between integrated management solutions including retrofitting and updating of facilities, reserve resources, improvement regulations, detailed studies and tests, and the use of technical and human equipment with the threat of earthquakes, and the use of each of these solutions It can lead to the reduction of risks related to the time of earthquake in Rasht metropolis.

One of the important and effective success factors in development planning is the knowledge of the structure and potential of different sectors in the economy. Transportation, warehousing and communication sub-sectors are among the sectors of the country's economy, which have a significant share in the gross national product, and therefore, the factors affecting its added value should be considered by economic policy makers. On the other hand, in the direction of formulation and macro-economic decisions, the amount and direction of influence (symmetry or asymmetry) of monetary policies, including changes in the volume of liquidity, on macro-variables has always been the concern of economic policymakers. Therefore, in the upcoming study, we will dynamically examine the direction and degree of influence of the added value of the transportation, warehousing and communication sub-sector from asymmetric changes in the volume of liquidity using time series data annually during the period 1363 to 1398 and for For this purpose, the autoregression model with non-linear distribution breaks and the edge test approach have been used. The results show that there is a long-term relationship (collinearity) between the variables of the model, and the shocks of changes in the volume of liquidity in the studied model have an asymmetric effect and have larger coefficients in the long run. Based on other research results, the interest rate of bank loans on the added value of this sub-sector is positive and significant, and the elasticity of the added value of the mentioned sub-sector in the investigated model is higher than the interest rate of bank loans in relation to the changes in the volume of liquidity in the short and long term.

The purpose of this study was to assess the training of employees in the Khouzestan Water and Drinking Water Organization with a knowledge management approach. This research was a descriptive survey. The research community was identified based on qualitative method including 176 employees including managers and employees of Khuzestan Water and Power Organization All of them were considered as an example. In this research, the knowledge recognition tools of Khuzestan Water and Power Organization employees were identified. These needs were defined according to the qualitative method and with reference to the panel of specialists of the staff and managers of the organization. The formal validity of the measurement tool was obtained by referring to the expert opinion of the experts in this field. Cronbach's alpha coefficient (0.918) was used to measure the reliability of data collection tools. For data analysis, descriptive methods and inferential statistical methods were used. In this study, one-sample T-tests and T-test were used to compare the mean of the two correlated groups from the viewpoints of respondents. The results of this study identified the needs of four organizational units of Khuzestan Water and Power Administration in three areas of technical skill, communication skills and perceptual skills .

The purpose of this study was to explain and validate the intervening and background factors effective in creating the green human resources maturity pattern in the first-class areas of the National Oil Products Distribution Company. This research is a descriptive research and is a type of correlational study. After confirming the validity and reliability among the statistical community that the employees with organizational base 14 and above were in the first-class regions of Iran's National Oil Products Distribution Company and the sample size was estimated at 300 people, the data was distributed and analyzed using SPSS and AMOS software. The findings showed that the result of Bartlett's sphericity test was at a significant level (Sig=0.001) and this means that the variables have a high enough correlation to provide a logical basis for exploratory factor analysis. Also, the results of the fit indicators of the measurement model showed that the intervening factors and background questionnaire had favorable conditions and the fit of the structural model indicated that all the components of the intervening and background factors confirmed the fit of the model and finally using the questionnaire The aforementioned measures acceptably the characteristics of the intervening factors and the background of the creation of green human resources surplus in the first-class areas of the Iranian National Petroleum Products Distribution Company.

Considering the current economic conditions of the country and the need to implement a resistance economy to get out of recession and economic crisis, relying on power and domestic production has become more important than in the past. Therefore, you should try to strengthen and expand knowledge-based companies that are the main arm of domestic production. In knowledge-based companies, economic growth and job creation are realized in proportion to innovation capacity. Therefore, the purpose of this study is to identify the factors affecting the strategic plan of domestic product sales of knowledge-based medical leech breeding companies. This research is based on the Delphi technique and interviews with experts in the company knowledge-based research has been done. The information was collected using the snowball sampling method with 15 experts, including university professors, experts and experts, and managers of knowledge-based companies in the field of medical leech production. The model of the strategic plan for the sale of internal knowledge-based products has 7 dimensions, which are: knowledge-based products, market communications, customer support, management factors, human resources, innovation and financial resources, and 23 indicators.

Playing the role of human resources in the agility of Iranian economic organizations requires an explanation of the pattern and combination of human resource management activities that this study seeks to understand what these dimensions, components and also their composition. This research is from the perspective of developmental goal, and in terms of descriptive and survey method. The statistical population of the present study consists of experts and specialists of the Social Security Organizatio who were selected using random sampling method. 9 dimensions of agility, 5 dimensions and 30 components of human resource management were obtained from reviewing the literature and experts' opinions. The identified components were screened in three steps by Delphi technique. Then, using (BWM) method, the significance coefficient or weight of the components was obtained. From the combination of dimensions and components, the model of human resource management in agile economic organizations of Iran was obtained.

In recent decades, competition to provide superior value to customers has shifted from competition between companies to competition between supply chains. Appropriate design of the supply chain with regard to the economic, social and environmental dimensions at the strategic, tactical and operational levels guarantees the survival and sustainable development of enterprises active in each part of the supply chain. One of the important issues in the supply chain is the existence of fraud and the risks associated with it throughout the chain. Also, according to the amount of scientific and experimental research conducted in recent years, the problem of detecting and evaluating fraud using computational methods alone It is an important topic for research. The most important challenges of fraud detection and evaluation are the unavailability of real data sets, the existence of asymmetric data sets, the large size of data sets, the dynamic behavior of fraudsters and the dispersion of fraudulent events, which are the result of these two Uncertainty and ambiguity in decision making. Therefore, the aim of this research is to provide a model to detect and evaluate fraud in the supply chain process based on the ANN-Big data integrated approach. In terms of its purpose, this research is a developmental and applied research. First, due to the creation of a comprehensive model, taking into account the various sources of decision-making regarding the legitimacy or fraud of electronic card transactions, and the requirements of big data analysis, it tries to develop theoretical knowledge in this field, this research can be considered Considering the nature of a mathematical analytical research, on the basis of this research, in terms of approach, it is a quantitative research. The inter-industry standard process of data mining or CRISP DM (Chapman et al. 2000) has been used as the analysis methodology. Clustering models and K-means algorithms, Kohonen neural network, anomaly detection based on clustering, hidden Markov model, parallel processing method of reduction mapping and fuzzy Dempster cipher fusion model are used. The analysis was done using MATLAB and R software. The proposed model has been able to show superior performance compared to other models in terms of output and execution time.