سعید آقاسی

Research indicates that the sustainability of contemporary organizations is contingent not only upon enhancing productivity but also on undertaking digital transformation initiatives. This study aims to identify the components of digital competencies based on employees' experiences within the banking sector.

The methodology employed in this research involves content analysis, supplemented by in-depth interviews conducted with 14 subject matter experts selected through purposive sampling. This sampling process continued until theoretical saturation was achieved. Data analysis was performed using Atlas TI 8 software, executed in multiple stages encompassing open coding, axial coding, and theoretical coding.

The results indicate that the components of digital competencies derived from employees' experiences encompass technological cognitive competencies, technical competencies, and operational competencies. These components were prioritized with technological cognitive competencies ranked first, followed by technical competencies in second place, and operational competencies ranked third.

To enhance the digital competencies within banking institutions, management should prioritize the various components associated with these skills in a systematic order.

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.

The purpose of this paper is to use optimization and equilibrium models to study the behavior of electricity producers in a multilateral oligopoly market with a competitive margin in which all producers have investment decisions. Modern wholesale electricity markets often have producers who exercise market power. The standard method for modeling market power in a monopoly with a competitive fringe is to use Mixed Complementarity Problems (MCPs) and conjecture variations. However, such models can lead to near-optimal behavior for monopolists. To solve this problem, we develop an equilibrium problem with equilibrium constraints to model an electricity market structure. It is modeled in the equilibrium of two types of players. Price-maker companies, which have market power, and price-taking companies, which do not have the power to impose prices on the market. The proposed model finds multiple equilibrium for firms' investment and profit decisions. The model was simulated for 2 price-setting electricity companies and 2 price-setting electricity companies in Iran. This research was done in 2022. In this article, the power companies of Isfahan and Boushehr provinces, which also have power plants, are considered as price takers, and the power companies of Khouzestan and Hormozgan provinces are considered as price takers. The presented model shows how it may be optimal for price-making companies to accept losses in some periods in order to prevent more investment of price-taking companies in the market.

Banks are aware that the role of performance management is very important for success in the service supply chain. Therefore, the purpose of this research is to design a performance management model in the service supply chain of private banks in the country with a systems dynamics approach.

In this research, firstly, in the qualitative part, the foundation data method was used to design the model, and an interview was conducted with 12 experts related to the subject until theoretical saturation. Then Vensim software was used to design the dynamic model of the system.

The findings of systems dynamics showed that there are four scenarios in the field of causal factors, intervenors, platforms and strategies for performance management analysis in service supply chain in private banks of the country.

The use of systems dynamics models can help to better and more transparently analyze the interaction between the components of the service supply chain. If each of the scenarios is examined and strengthened, performance management in the service supply chain will be improved.

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 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 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.

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 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.

Today, the need to choose a project portfolio as the main factor in the success of investment profitability is obvious. Evaluating a portfolio of all its dimensions is an urgent and vital need in investment organizations. Therefore, in this research, a two-stage multi-objective mathematical model was evaluated and the project portfolio was selected. Due to the uncertainties in the evaluation of the project portfolio, the theory of firm uncertainty based on Bertsimas and wire were developed on a mathematical model and then due to the NP-HARD being the problem under study, to validate the model in larger dimensions using two algorithms. The meta-initiative of MOPSO and NSGAII analyzed the model findings. Based on the analysis of the results obtained from the two algorithms, it was shown that the computational time of MOPSO algorithm is better than NSGAII algorithm and the means of the first and second objective function of MOPSO also showed the superiority of this algorithm compared to NSGAII. Other analytical parameters such as NPF, MSI and SM showed that the NSGAII algorithm performed better than the MOPSO algorithm. Finally, using TOPSIS method, it was shown that NSGAII algorithm with a weight of 0.6945 was more favorable than MOPSO.

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).

Price changes in financial markets are one of the important variables that can have a significant impact on the economies of countries, management and estimation of financial risk of stock portfolios in investment companies. Therefore, understanding the price structure of commodities has always been the focus of economic researchers and efforts have been made to predict the behavior of financial markets. Therefore, in this research, an attempt is made to disentangle the principle of chaos theory and present its various functions based on previous research in financial markets.

In recent years, financial markets, and especially the capital market has been a significant expansion in the international and country levels and sudden changes in economic behavior and perception of investors of the market situation affected. The main problem in choosing the optimal portfolio optimization assets and securities that can be provided with a certain amount of capital. Although minimize risk and maximize return on investment comes in plain view, but in practice has been used several approaches to portfolio optimization.
In this study, to determine the optimal portfolio based on canonical correlation analysis on companies active in the Tehran Stock Exchange during the year 1394 were discussed. Methods cross-sectional study of a sample of 42 companies included in the index returns daily adjustment of the top 50 companies in the period is three months. Based on canonical correlation analysis showed, 42 samples in the form of two pairs of canonical variables, each linear combinations of the daily rates of return were, were adjusted and petrochemical allocated and the remaining 155 units will be assigned in other industries desired.

The present study aims to investigate the relationship between financial risk Tolerance and Client characteristics (Financial Numeracy, Financial Management Skill, Net worth) based on Donald in Tehran Stock Exchange. Financial Numeracy, Financial Management Skill, Net worth are independent variables, financial risk Tolerance is dependent variable on this research. the main idea about this hypothesis that are (between Client characteristics and financial risk Tolerance have meaning relation , the data gathering at the 1392, at the this search we use several Analysis statistics such as the first accounted for percentage , frequency , median and mean values , the second enlisted Pearson and Spearman correlations , Eta , F, T and multiple regression tests .the financial risk Tolerance was positively correlated with : Financial Numeracy, Financial Management Skill, Net worth . For respondents all of variable are not same, financial management skills are more important than other variables specially for young people. All of parameter on Lisrel statistics are meaningful. RMSEA for this model is. /04, the model is useful.

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.