saeed aghasi

Today, a large part of the company's property and assets are related to intangible assets, whose value and price have been determined in recent years for two reasons, the formation of concession contracts and the determination of the share of each partner in capital contracts. Joint ventures have been taken into consideration. In this research, a conceptual model has been presented to identify the influencing factors in technology valuation in the field of financing using foundation data theory. For this purpose, a model has been presented by using the opinion of the experts of Isfahan Regional Electricity Distribution Company and a comprehensive review of the issue in the field of technology valuation selection for the analysis of financial decisions in the field of financing and investment in the solar energy industry. To develop the presented model, a qualitative model based on foundational data theory has been followed. With regard to all the cases mentioned in this research, the technology valuation model for the analysis of financial decisions in the field of financing and investment in the solar energy industry according to the collection of experts' opinions according to three main categories (valuation model, technology organization and investment) and 9 sub-categories (valuation model, technology organization and investment) and 9 sub-categories (low cost, exclusive experience, value provided by technology, communication, technological infrastructure, agility, knowledge management, human resources, new financing model) design has been To ensure that the factors are chosen correctly or not, a content validity analysis has been performed for each of the categories, and according to the results, all the categories have the necessary sufficiency to be included in the valuation model. In the continuation of the research, using the structural equation model, the relationships of the indicators have been modeled in Lisrel software to determine the influence of each factor on each other and also on its main factors. Based on the obtained results, the relationship between the subcategory of human resources and the technology organization in the funding valuation model is identified as meaningless with an impact factor of 0.24. Therefore, this criterion cannot be included in the financing valuation model. But the relationship of other factors with their main criteria in the valuation model of financing is significant. Finally, the validity of the model has been investigated using statistical tests.

Supply chain risk management involves identifying, ranking, and adopting appropriate strategies to control and deal with risks that could disrupt chain performance. Different issues can cause these risks, and descriptions and surveys about these risks are associated with uncertainty, ambiguity, qualitativeness, and incomplete and sometimes contradictory information. Therefore, their ranking needs techniques that can model the mentioned issues. Neutrosophic logic makes it possible to model propositions with uncertainty, incomplete information, ambiguity, qualitativeness, and even inconsistency. Accordingly, the approach of the present study is to use a combined method of Neutrosophic hierarchical analysis and TOPSIS for ranking the risk. The core of this paper proposes a hybrid decision-making method for the identification and ranking of supply chain management using a Neutrosophic Analytical Hierarchy Process (AHP) and TOPSIS approach. The case study is Mobarakeh Steel Company of Isfahan, and three criteria, including resilience, agility, and robustness, are considered major strategies for dealing with risk. Seventeen risk-related issues are ranked as options. The results show that government constraints, economic and environmental risks, inventory shortages, technology risks, forecast risks, and financial (cash) problems are the most essential risks threatening the supply chain. Therefore, we believe that the proposed framework provides managers with valuable knowledge for decision-making.

Noise traders cause severe fluctuations and deviation of asset values from their intrinsic value; thus, this article designs an optimal investment model based on the parameters of predicting stock returns and noise trader risk factors. This is an applied post-event paper. In this article, first, the stock returns predicting parameters are obtained followed by the noise traders' risk factors obtained through behavioural error or the beta difference in transactions, according to the combined regression model or models, which are the results of the risk factors. Then, noise traders and stock return predictor variables were designed and tested using econometric software, including Eviews9 software and Matlab algorithmic models. The statistical population of this research includes all companies admitted to the Tehran Stock Exchange, whose shares were traded until March 19, 2020. Also, in this research, PCA, GSADF, and logit methods were used to determine the impact of noise traders in determining the incidence of the bubble used in the Tehran Stock Exchange. The research findings show that noise traders have a positive and significant effect on the occurrence of a bubble, and an increase of one unit of optimistic sentiments and optimistic sentiments with a break in the stock market increases the probability of a bubble occurrence.

The production of digital content is the key to the success of businesses in the competitive market particularly evident in the fashion and clothing industry where turnover rates are notably high. Considering the importance of the subject in this study, the components of digital content production in marketing in the fashion and clothing industry were identified. The current study is an applied-developmental study in terms of its purpose, and it is a cross-sectional survey research in terms of the method and time frame of data collection. Semi-structured interviews with fashion industry managers and marketing professors were used to collect data. The Holstein method was used to validate the qualitative analysis and the observed agreement coefficient was estimated at 0.712. The community of research participants was experienced fashion industry managers and university professors in the field of marketing management. Sampling was done with a purposeful method and finally theoretical saturation was achieved with 21 interviews. To analyze the research data, the qualitative analysis of the theme and MaxQDA software were used. Research findings showed that technical and non-technical factors ,management, are the underlying factors of the model that affect the production of digital content. The quality, user-friendliness, popularity, security and interactivity of the media also provide the necessary platform for the production of digital content. Since the content is produced for the customer, the role of the customer should not be neglected, and customer satisfaction, loyalty, trust and participation are the consequences of this model. Finally, content production should be based on quality, aesthetics, Planning and having value to provide customer-oriented goals for fashion industry businesses in digital content production

This study aims to “identify the dimensions and components of the talent management model in the Isfahan Department of Education. Given to exploratory nature of the patterns and existing frameworks in the current study, the methodology of the current study is qualitative and based on an inductive approach. Meanwhile, it is applied based on the objective and interpretive from the study’s philosophical viewpoint. Based on this description, to obtain talent management requirements, semi-structured interviews with experts such as managers of the education department was conducted by designing different questionnaires to assess their deep understandings, attitude, and beliefs regarding the subject of education. For this purpose, discussions with 22 university professors, experts, and managers of the education department of Isfahan province were held regarding the talent management subject, its requirements, and necessities, and the conclusion of these interviews was prepared as a list of talent management dimensions at the education department. Then, the input and output dimensions of talent management were specified. Finally, the final model of talent management at the Department of Education was designed and provided after some amendments. In the end, organization strategy, management of talents conflict, succession, meritocracy system, strategic management of human resources, rules, and regulation, managers support, organizational culture as a talent management input, and improvement of personal efficiency, personal maturity, human force agility, personal satisfaction, emotional commitment, perceived justice, comparative advantage acquirement, adjustment with global changes, increased beneficiaries’ satisfaction, improved organizational efficiency, individual and organizational excellence as talent management output were extracted. Further, some recommendations were proposed to improve the condition of talent management in the Department of Education.

This research, which was conducted to provide an organizational mentoring model with a talent management approach in the Ministry of Education and Culture, is an exploratory type considered developmental and practical in terms of its purpose. In terms of data collection, it is of mixed type (qualitative and quantitative); in terms of data collection, it is descriptive-survey type. The statistical population of this research in the qualitative part includes all experts in the field of public administration and administrative affairs and senior managers and human resources in the Ministry of Education, 20 of whom were selected by judgmental and purposeful sampling. In the quantitative part, experts working in the Ministry of Education, have been selected as a statistical sample using Cochran's formula, using stratified random method according to the volume. The measuring tool of the research in the qualitative part was a semi-structured interview and in the quantitative part, it was a standard questionnaire, which was used to measure the validity of the questionnaires using the form and content method and to determine its reliability, Cronbach's alpha was calculated, and its value was estimated to be 0.974. Data analysis was done in the qualitative part by phenomenological method and in the quantitative part by using SPSS26 and SMART PLS4 software. The research results in the qualitative part led to a structural model. The results in the quantitative part also showed that in the education department, organizational culture plays a mediating role in the relationship between managers' support, organization strategy, talent conflict management, succession planning with individual factors of talent management, and organizational factors of talent management.

In the current research,wavelet analysis is used to analyze the time series of prices in a pair of assets into general and detailed time series, and the property of collocation between different and corresponding levels of analysis of two series is checked in order to find collinear pairs at different levels of analysis. And then its profitability is examined. In this research, the profitability of the pair trading system based on wavelet analysis was investigated on 14 indices of the Tehran Stock Exchange betwee 2013-2022. The results show that for the second level of detail in the wavelet analysis, the results are quite impressive and the number of trading positions is more than doubled, the daily return is increased to four times and the Sharpe ratio is also increased to about two times. The system formed based on the first level of detail also has a better profitable performance than the normal aggregation, and the performance of the third level of detail is within the limits of aggregation. In addition, the average duration of the transaction also shows significant decrease in the first and second levels. Profitability performance at the level of general series is generally weaker than the aggregate.

The current research was conducted by designing the knowledge-based organizational satisfaction modeling with a data-driven approach using a qualitative and quantitative method of grounded theory and data mining techniques. The data was taken from in-depth and semi-structured interviews with 25 general managers of social security insurance departments in the provinces of the country, based on purposeful sampling. The validity of the research data was checked and confirmed by going back to the participants and external auditors. In the data mining section, registered data and the organization's database were used. Using the data recorded in the Clementine software, the happiness and unhappiness of the employees in the organization were categorized. The results showed that the model of organizational happiness in the social security organization was identified at three levels, group, individual and organization, including causal factors, intervenors, platforms, strategies and finally consequences. Also, the status of employees was determined based on the proposed model of happiness according to the collected data. Finally, the data mining model showed classification with 66% accuracy for happy and unhappy employees. The human resource management approach based on organizational data leads to correct decision making in organizational performance. The more transparent the collected data is, the more accurately the state of the organization can be predicted. Also, based on the proposed model and implementation in the form of data mining, it is possible to estimate the number of happy employees.

The purpose of this research is to model supply chain performance management based on information dashboards in private banks. The data was derived from in-depth and semi-structured interviews with 12 managers of five private banks in the country, which were based on purposeful sampling and continued until reaching theoretical saturation. The validity of the research data was checked and confirmed by going back to the participants and external auditors. Data analysis was done based on the Strauss and Corbin model in the form of open, axial, and selective coding in the Atlas TI8 software. Modeling of supply chain performance management based on information dashboard in private banks including causal factors (intensification of competition, supply chain inefficiency, banking system challenges), intervening (appropriate corrective measures, organizational strategies, banking service challenges), platforms (quality management services, facilitating elements, and action management), strategies (development strategy, partnership strategy, discovery strategy, and focus strategy) and consequences (correction of performance evaluation system, financial-administrative function, performance improvement and innovation and supply chain development). To succeed in developing and changing their business model, they must correctly recognize factors affecting the supply chain of banking services in the fourth industrial revolution and digital revolution and successfully transition to the new technological era. A supply chain refers to the flow of materials, information, funds received from customers, and services from suppliers of raw materials through factories and warehouses to final customers, and includes organizations and processes that create goods, information, and services and deliver them to intended consumers.

The continuous improvement of financial-environmental performance is considered as one of the strategic goals for organizations, therefore, the current research was conducted with the aim of "investigating the impact of green innovation on the financial-environmental performance of Mobarakeh Steel Complex"; The type of research, in terms of method, is a descriptive-survey of the correlation type, its nature is practical and cross-sectional in terms of time. The statistical population of this research is all the managers of the financial department of Foulad Mobarakeh, 182 people, who were all selected using the census method. The measurement tools of the research were standard questionnaires for the variables of green innovation, financial-environmental performance and disclosure of environmental information (as a moderating variable) whose face and content validity and reliability were confirmed at a confidence level of 0.95. Data analysis was done using Spss26 and Smart Pls3 software. The Kolmogorov-Smirnov test was used to check the normality of the data, and the structural equation method was used to test the hypotheses. The research results showed that green innovation has a significant impact on the company's financial-environmental performance in Mobarakeh steel complex; But disclosure of environmental information does not moderate the relationship between green innovation and financial-environmental performance. Finally, suggestions for improving the financial-environmental performance of Mobarake Steel Complex based on green innovation were presented.

As a trading strategy, pairs trading is performed based on the arbitrage opportunities extracted from statistical models. It is an outcome of the distance between an asset pair and the equilibrium state. Consequently, selecting a pair with the potential to form long-term relationships and reverting to the mean is the main challenge associated with pair trading. Cointegration is one of the most famous statistical tests for selecting a pair's trading. The present study uses Empirical Mode Decomposition (EMD) to decompose the time series of an asset pair price into its constituent elements (intrinsic mode functions). This study examined the property of cointegration across different levels and the corresponding levels of 2- time series to find the cointegration pairs in different decomposition levels and finally examine the resulting profitability. To this end, the profitability of the pairs trading system related to 14 stocks of the Tehran Stock Exchange throughout 2012-2021 was investigated based on EMD. The results showed that the outputs are pretty noticeable for the first level of decomposition (the first intrinsic mode function), and the number of trading opportunities increased by more than two times compared to the normal pair trading with cointegration; the daily returns increased by four times; and the Sharpe ratio increased by about two times compared to the normal pairs trading. The system formed based on the second mode function also outperformed the normal cointegration, and the performance of the third intrinsic mode function is almost on par with that of cointegration. Moreover, the mean transaction duration decreased remarkably in the first and second mode functions.

This research aimed to create new knowledge on supply chain performance management in private banks., It was performed in two phases using a thematic analysis under the qualitative methodology and the correlational analysis technique using structural equation modeling in the quantitative part. The data was obtained from in-depth and semi-structured interviews with 12 managers of five private banks in Iran, based on purposeful sampling and continued until reaching theoretical saturation. The statistical population in the quantitative part included all 235 managers of Mellat Bank's branches, from which 144 were selected by simple random sampling. A researcher-made questionnaire was used to collect the data for the first part. The validity was assessed by factor analysis of the extracted components. A reliability value of 0.7 was obtained using Cronbach's alpha. The factor load of causal factors on the main category was 0.53, contextual factors on strategies were 0.54, intervening factors on strategies were 0.37, the main category on strategies was 0.47, and finally, the factor load of strategies on consequences was 0.71. A performance measurement system is a framework for measuring supply chain performance. To create knowledge in the supply chain based on research findings, one must first know what knowledge is important to maintain and how it can be maintained effectively.

The purpose of this study is to design an organizational performance model based on the digital status of the organization in the Corona pandemic with a theme analysis approach in the Ministry of Industry, Mine, and Trade (MIMT). This research was conducted with a qualitative approach. The research tool (data collection) was a semi-structured interview in which 27 elites and qualified specialists in MIMT (statistical population of this study) were selected using a purposive sampling approach to qualitative sampling. The results of data analysis in the qualitative section in the open coding stage identified 79 codes, which finally through axial coding achieved  3 categories (main category) and 21 indicators (subcategory). The main mission and goal of the managers of any organization is the effective and efficient use of various resources and facilities such as labor, capital, materials, energy, and information. Digital transformation, which has always been important as a fundamental and strategic action in organizations, has become more important in recent years following the outbreak of coronavirus; the pressures of the coronavirus epidemic have accelerated the efforts of organizations to create digital transformation

The main purpose of this study is to investigate the migration of bubbles from the oil market to the stock exchange. First, using the method of Phillips et al. (2015), bubbles were discovered and dated in the Iranian heavy oil market in the monthly period 1980-2020 and the Tehran Stock Exchange in the period 2008-2020. Then, using the method presented by Gomez-Gonzales et al. (2018), the migration of bubbles from the oil market to the Tehran Stock Exchange in the period 2020-2008 was investigated. The results showed that Iranian heavy oil has 9 bubble cycles in the period under study. Also, six bubbles were observed in the period under review for the Tehran Stock Exchange. The findings indicate the closeness of the ninth bubble in the oil market and the fourth bubble in the Tehran Stock Exchange. The hypothesis of bubble migration from the oil market to the Tehran Stock Exchange was tested in this period. The results of the hypothesis test indicate the acceptance of bubble migration from the oil market to the Tehran Stock Exchange.

The purpose of this research was to present an organizational vitality model based on information management and human resource data. Human resource information management is a process that seeks to increase organizational capability through the organization's employees, which is considered one of the most important success factors. The research was designed in a mixed qualitative and quantitative method and benefited from the foundation's data strategy. In the qualitative part, the data obtained from in-depth interviews with 25 general managers of social security of the provinces of the selected country were based on purposeful sampling. In the quantitative part, 376 people from the lower-level employees of this organization were selected in different regions of the country by stratified random method and answered the questions of the researcher-made questionnaire. Qualitative data were analyzed using the Grounded Theory and the quantitative data were analyzed through confirmatory factor analysis using SPSS and AMOS software. The results obtained from the qualitative phase of the research led to the design of a proposed conceptual model of organizational vitality in the social security organization, and in the quantitative phase, using path analysis, validity of the conceptual model was. evaluated. From the practical point of view, the proposed model can be implemented by social security organization managers to create vitality among employees in order to reduce depression and boost productivity.

The present study aimed to provide a model for improving individual creativity through confliction and integration among staff of cnteral organization of education in Kohgiluyeh and Boyer-Ahmad Province using grounded theory. Grounded theory is used to theorize about organizational phenomena. The ultimate goal of this study was to understand the data of the Foundation for Improving Individual Creativity in the Education Organization of Gahgiluyeh and Boyer-Ahmad Provinces. The research data were obtained through 15 semi-structured interviews with selected academic experts of Gahgiluyeh and Boyer-Ahmad Provinces, and then extracted in the coding process and related categories in the form of two causal conditions (contradiction of mental patterns and ideation); 7 central phenomena (intra-group conflict, interpersonal conflict, inter-individual and group conflict, intergroup conflict, inter-organizational conflict, internal integration, external integration); an underlying condition (information gap); An intervening condition (mental self-control); Strategies and consequences of a specific conceptual model were explained and elaborated during the selective coding stage of each of the model elements in order to create a research theory. The results of this research can help the managers of the education organization in recognizing the policies, systems and procedures that help to improve or hinder the individual creativity of employees. The results of the research indicate that a set of strategies that the model of improving the individual creativity of employees chooses and leads to the consequences of improving individual creativity; Indicates conflict and integration among employees in practice.

Digital transformation, which has always been important as a fundamental and strategic action in organizations, has become more important in recent years following the outbreak of coronavirus and the pressures of the coronavirus epidemic have accelerated the efforts of organizations to create digital transformation. The purpose of this study is to design an organizational performance model based on the digital status of the organization in the Corona era with the data foundation approach in the Ministry of Silence. This research was conducted with a qualitative-inductive approach and the method of Strauss-Corbin contextual theory. The research tool (data collection) was a semi-structured interview. Using the grounded theory method, the data obtained from interviews with 27 elites and qualified specialists of the Ministry of Silence were analyzed in three stages of open, axial, and selective coding. 18 general categories in the form of a paradigm model in which these factors include causal conditions (individual factors, organizational factors, technological factors, and environmental factors) central phenomenon (digital status of the organization), underlying conditions (digital context, management context, individual context, technology context), conditions Intervener (individual factors, cultural factors, and organizational factors) and strategies (individual strategy, managerial strategy, and organizational strategy) and consequences (individual results, organizational results, and social results).

Cultural capacity making is a permanent process for helping people, organizations and cultural and political association for elevating and adapting with useful changes and effective countering with unhelpful changes of cultural and political atmosphere. The result of this process can be obtained from mission, special objectives, sources, texts and durability. The aim of this process is first answering the internal weakness of cultural and political organizations and strengthening the existing potentials, secondly, assistance to cultural and political sections for coordination with quick environmental changes. Therefore, attaining these targets facilitate the input feeding for interested groups who are general members of a culture and as a result cultural and political development takes place. The present article by a descriptive-analytical method examines the concept of cultural and political development. The examination of the role of cultural capacity making is done within four important aspects of cultural-political development. These four aspects are as follows: a) development of religious ideological base, b) development of cultural and political capital, C) development of cultural and political thought, d) institutional cultural and political development.