جستجوی مقالات مرتبط با کلیدواژه "financing" در نشریات گروه "مدیریت"

The aim of the present study is to analyze the foundations of financing through factoring with a risk management approach. 

The research method is descriptive-analytical, utilizing library resources. 

Financing through factoring is conducted within the framework of a contract involving two parties: the seller and the factor. In other words, the factoring contract materializes through an agreement between the factor and the seller. Signing this contract establishes a contractual relationship between the seller and the factor.  Findings indicate that, although financial risk is not inherently positive, understanding it leads to better and more informed decision-making in trade or investment, helping to evaluate value in terms of the risk-reward ratio. Among the advantages of issuing commodity factoring notes are financing for producers, liquidity of receivables before their due date, encouraging credit sales guaranteed by exchanges, directing societal savings toward the real economy, providing essential raw materials for intermediate and final consumers through deferred payments, exemption from income tax, and supporting the industrial sector by attracting public investments. 

If this instrument becomes common, it is likely to extend the maturity dates of long-term credit sales.

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 aim of this study is to analyze the factors influencing the financing of renewable energy projects to achieve sustainable development goals using a fuzzy cognitive map approach.

This applied research was conducted in both qualitative and quantitative sections. In the qualitative section, content analysis with a conventional and directed approach was employed, and in the quantitative section, a causal method was used. Data were collected through semi-structured interviews in the qualitative phase and pairwise comparison questionnaires in the quantitative phase. The participants were senior managers and experts from the Renewable Energy and Energy Efficiency Organization (SATBA), selected using purposive and theoretical sampling (a total of 21 participants).

The qualitative findings revealed key influencing factors, including "social responsibility," "direct and indirect government support," "sustainable economic development," "environmental sustainability," "support from financial funds," "commercial creditworthiness of financial suppliers," "foresight and capital planning," "financial capacities," "investment return policies," "empowerment of financial institutions," "renewable energy development policies," "investment culture in renewable energy," and "optimal management of investment risks." The fuzzy cognitive map results showed that "direct and indirect government support for the energy industry" had the highest output and influence, while "commercial creditworthiness of financial suppliers" had the highest input power and susceptibility to influence.

This study provides a comprehensive analysis of the factors affecting the financing of renewable energy projects. It highlights the critical roles of government support policies and the commercial creditworthiness of financial suppliers in the success of these projects, suggesting that improvements in these areas can contribute to achieving sustainable development goals.

One of the major problems in Farajah is the financing of ongoing projects, which due to the lack of necessary credit and budget deficit and the lack of allocation of approved credit, the mentioned projects are closed and half-finished or are being carried out at a very low speed. is.

This research is a career in terms of purpose and a survey in terms of nature, and by using a questionnaire and a survey of the subordinate units of Faraja that use Islamic Treasury documents in some way, the effectiveness of financing through Islamic Treasury documents on the progress And Faraja's progress was measured.

Financing through Islamic treasury documents was not effective in advancing Faraja's goals, and also did not save and reduce costs in Faraja, and this type of financing only causes financial discipline in Faraja's future.

According to the data available in Faraja in 1401, the budget received from the Islamic treasury documents was 1.21% of the total budget of Faraja in 1402, this figure has increased to 1.98%, which is a very low figure and number. It is very insignificant in advancing the goals and missions of the organization. After reviewing the information and data obtained, it was found that financing in Faraja through Islamic treasury documents is more towards paying the accumulated debts of contractors and their claims, and the solution to this problem is to maintain the purchasing power of payments with the announced inflation rate. through Iran's Statistics Center and creating the necessary mechanism to welcome and use contractors from such bonds and provide wider financing in Faraja so that we don't see projects that are under construction and projects that are half-finished or closed.

The aim of this study is to identify the components of financing through factoring with a risk management approach. 

The study is applied in nature, cross-sectional in data collection, and descriptive-survey in its execution. The statistical population consisted of experts in financial management and accounting with relevant specializations and at least five years of executive experience in banks. The sampling method was purposive and chain sampling, with a sample size of 15 individuals. The data were analyzed using the qualitative method of thematic analysis. The validity of the research tool was ensured through thematic analysis, and reliability was confirmed using the test-retest method and dual coders. 

The results indicated the identification of 14 basic themes, 5 organizing themes, and 1 overarching theme for the model. The organizing themes include financial risk management, selection of factoring as a financing method, economic and financial factors, relationships with factoring companies, and interaction with business partners. Each of these themes emphasizes various processes essential to managing financial risks and decision-making in the use of factoring within organizations. 

The findings suggest that factoring, as a financing method, can contribute to improving liquidity and profitability when financial risks are managed effectively. Moreover, establishing effective relationships with factoring companies and setting terms of interaction with business partners are key factors for the successful implementation of this financing method.

Financing is one of the important issues that every industry faces in some way. Therefore, in order to maximize the wealth of shareholders, one of the decisions of the managers of small and medium sized industrial units is the decisions related to financing. Hence, the purpose of this research was to design a financing model for small and medium sized industries in Iran in order to improve productivity management. Since this research had a qualitative approach, the grounded theory method was used as a research method. The data was collected through in-depth and open interviews with 20 academic and industry experts, which was then coded and validated. The extracted codes included 411 concepts (open codes) and 20 main categories. Based on the systematic approach of foundational data theory, the identified codes were classified into six categories, including " central phenomenon, causal conditions, background conditions, intervening conditions, strategies and consequences". The results obtained from the interviews show that the central phenomenon of "financing" includes "drafting of financial plans during the financing process", "financial monitoring and evaluation during the financing process" and the categories of "development of operational activities", "developments of company's finances" and "company's environmental causes" as causal conditions have an effect on the categories of the central phenomenon. The foundational categories as necessary background conditions for the realization of financing in small and medium sized industries include: "financial accounting standards", "standardized financial statements", "company’s financial affairs management", "financing institutions", and "company's general management". Meanwhile, some categories act as interfering conditions in realizing financing in small and medium sized industries including: "macro environmental interventions", "internal company interventions" and "prerequisites for realizing financing" which are both background and intervention conditions. They can influence the presented strategies. These strategies include: "corporate discipline", "analysis and monitoring of the prevailing situation in the company", "actions and classification of matters for financing" and "using auxiliary levers" which are the necessary strategies in the implementation of financing in small and medium sized industries. If the central phenomenon is realized, the categories of "business excellence", organization of financial flows" and "economic development" can be expected as the resulting consequences.

Usually, the strategies established by institutions affect the company's performance, so less attention is paid to systems such as taxation, incentive strategies, maintaining business ownership, and their mentality towards sustainable and continuous growth of startups. This article aims to design a model of entrepreneurial financing strategies. The research method applied has a mixed approach (qualitative-quantitative) of an exploratory type. In the quantitative part of the research, the data collected through a questionnaire designed based on the identification indicators of the entrepreneurial financing strategies model and distributed among the studied community were quantitatively analyzed statistically. For statistical analysis, the structural equation method and SPSS and SMART-PL software were used. In the qualitative section, after reviewing and analyzing the content of all interviews, the proposed model of entrepreneurial financing strategies for knowledge-based companies in Iran includes eight main components, including contextual factors related to potential sources of financing, legal and upstream factors, communication factors, international, regional factors, and sanctions, entrepreneur's characteristics, innovation, business-related factors and, management factors.

Foreign investment has played an important role in the world economy since the late 19th century. The world is characterized by different levels of development based on the role of foreign investment and they have documented plans to increase the amount of its absorption in their country. In Iran, the program of increasing foreign investment has been on the agenda for many years and has formed an important part of the country's financing system. The situation of Iran's foreign investment management is good compared to some OPEC standards and in others it needs more attention and search. Based on this, the government system of the country should put on the agenda to strengthen the freedom of information flow in order to increase the access and transparency of the country. Also, important decisions have been made to secure foreign investment and take serious steps in the field of using new technologies and developing international cooperation.

The analysis of the business environment in Iran shows that one of the reasons for the slow growth and productivity of knowledge-based companies in Iran is the difficult financing conditions of these companies. The purpose of this article is to identify the constituent components of the model of entrepreneurial strategies for financing knowledge enterprises in Iran. The research method is applied and, in terms of data collection, it has a hybrid approach (qualitative-quantitative) of exploratory type. Knowledge enterprises form the statistical population of the research. The data collection tool was a researcher-made questionnaire based on the results of qualitative research, designed and distributed among the statistical sample. To analyze statistical data, descriptive and inferential statistics, SPSS and Lisrel software was used. The findings of the research showed that the most essential components of the model of entrepreneurial strategies for financing knowledge enterprise are: cognitive capital (2.95), relational capital (average 2.88), structural capital (average 3.32), and social capital (average 3.05). As a result, in forming entrepreneurial strategies, the contextual and structural components were directed so that they could ultimately help the company's financing strategy.

In the present unstable business environment, supply chains are considerably impacted by disruptions, necessitating the implementation of resilience strategies. These strategies, however, pose significant financial challenges for companies. Therefore, financing is essential in developing resilient supply chain networks. In addition to utilizing existing capital, options such as bank loans and trade credit can be employed to alleviate the financial burden and enhance working capital.  The present scholarship has failed to address the issue of financial strain resulting from the adoption of resilience strategies. Additionally, the significance of trade credit and repayment scheduling in all levels of the supply chain network also left under-researched. To fill this research gap, this paper proposes a three-tiered supply chain network consisting of main/support suppliers, factories, and distribution centers under uncertain demand conditions. The network is developed to effectively handle demand uncertainty and achieve optimal net present value and demand estimation. To solve the bi-objective model of the study, a preemptive fuzzy ideal programming approach accompanied by the implementation of the CPLEX solver is utilized. The findings lend support to the importance of securing financial support for support suppliers and establishing effective trade credit agreements across all levels of the supply chain.

The business cluster development model is a new method that has been used in the last two decades to develop and empower small and medium enterprises. Many countries, both developed and developing, have taken advantage of this development model to achieve regional development goals and improve the quality and quantity of their advantageous businesses located in a geographical area. In this research, the factors influencing the performance of business cluster development in Iran have been investigated using theme analysis and fuzzy cognitive map techniques. The data was collected using open interview tools and questionnaires. The present research encompasses the period from 2018 to 2021 and focuses on Iran, specifically examining all provinces where business cluster development plans have been enacted. Based on the model obtained from the fuzzy cognitive map method, the most important factor that affects the performance of business cluster development initiatives is financing of the plans and projects. On the other hand, the most crucial factor for effectiveness is the augmentation of collaborative efforts. Finally, based on the identification of the most important affected and influencing factors, backward and forward scenarios related to the performance of business cluster development plans were examined.

One of the main challenges of the industry is the provision of financial resources. This issue has doubled these challenges in government industries, including the defense industry, due to the budget restrictions that have occurred in recent years. On the other hand, strengthening the country's defense base depends on the provision of new and innovative defense items, and the development of the defense industry depends on the provision of stable financial resources. Chain financing is a creative approach that companies use to allocate financial resources and optimize financial flows in the supply chain. This approach aims to reduce costs, increase profitability and efficiency of the organization as much as possible.

In this research, first, the models and tools of defense financing in the country and its comparative study with the top defense countries of the world were conducted, and then interviews were conducted with experts, and then by implementing the Delphi method, binomial test, and one-sample t-test, financing methods were confirmed. Then the approved methods were ranked and selected using the best-worst multi-criteria decision-making technique.

investment methods from partnership with the private sector and outsourcing, increasing revenues through market development and exporting weapons and military products, increasing revenues through product diversification and dual-purpose, reducing costs through redesigning research and Innovation with effective communication with knowledge bases, production of non-productive assets (sale or lease of extra assets and turning them into profitable assets) are respectively the five priorities of experts to provide financial resources from operational, investment and financing activities.

In the current situation of the country, the sanctions and its consequences against the country's economy (difficulty importing raw materials, increasing exchange rates, increasing prices, inflation, economic stagnation and increasing production costs) have caused producers to develop The quantity and quality of their products and especially in the field of financing the supply chain of their products face many problems. Therefore, the current research was conducted with the aim of designing the model of the financing chain in the household appliance assembly industry. In terms of the purpose of this study, it is a type of developmental and exploratory research that was conducted in a qualitative manner using thematic analysis method. The statistical population of this research consists of the sources that were used to analyze the theme. And in order to strengthen the validity of the research, the opinions of supply chain experts and professors were used in the evaluation of the findings. The sampling method is purposeful. Based on this, after searching the databases, 147 sources, including books and articles, were identified and downloaded, and a total of 51 sources contained related codes, which were considered as the selected sample of the research. The results of theme analysis identified 151 basic themes, 43 organizing themes, and 13 comprehensive themes, which were presented in the framework of the assembly industry financing chain model.

Financing has always been one of the main challenges of creating and developing start-up businesses and small economic industries. Therefore, the purpose of the current research is to identify and present a model for financing small and medium industries with the approach of evaluation laboratory and decision test based on the process of interpretive structural modeling and Fuzzy Dimetal. This article deals with the design of different scenarios in the financing of small and medium enterprises. For this reason, taking into account the previous studies and the fuzzy screening method, a dynamic model has been developed to extract effective factors on the financing of small and medium enterprises and to specify the cause-effect circles. Then, using structural modeling technique and Fuzzy Demetall, relationships and levels between them, the amount of influential and influential coefficients have been determined and included in the model, finally, in order to test the accuracy of the model and determine the behavior of state and rate variables, we collected Information from 30 small and medium-sized enterprises has been requested to know the new methods of financing in a period of 12 months, which was evaluated by analyzing the behavior of the variables in the framework of the model, as well as the sensitivity analysis, and the validity of the designed dynamic model. The results showed that small and medium enterprises can benefit from the designed model and scenarios for optimal financing of their business.

 The main goal of this article is to identify the most suitable financing methods to minimize delays in the infrastructure projects of Tehran municipalities, as well as to identify methods to finance the construction projects of executive bodies or government companies. The method used for this research is group AHP method and paired comparison questionnaires, and the calculations were done by expert choice software. Then we will calculate the consistency for each of the decision matrices. It should be noted that the selected options and indicators in the questionnaire have been adopted based on micro-group. At first, based on the studied articles, various indicators were selected to determine the best financing option, which was further reduced to 7 indicators based on brainstorming. The research indicators have been described as the availability of financing methods, expected returns, the existence of Islamic and legal restrictions, easy guarantee conditions, restrictions related to the use of financial instrument funds, risks related to financial instruments and the volume of financing. The decision options (Alternatives) also include Sukuk method, mutual sale contracts, housing investment fund, Islamic Development Bank and partnership bonds. According to the results of the research, the decision options of this research include the sukuk method (with a score of 0.239), mutual sales contracts (with a score of 0.157), housing investment fund (with a score of 0.189), Islamic Development Bank (with a score of 0.202) and in The last contribution was (with a score of 0.213).Keywords: Financing, Tehran Municipalities and Construction projects.1.

The oil industry is one of the key drivers in the economy of Iran and the world. Every year, many projects are defined and implemented in this industry. Without proper financing and the use of efficient financing methods, the success of this industry for the exploration, production, profitability and development of the value chain is impossible. The future of financing and its methods are completely changing under the influence of financial technology and new trends. Therefore, the present study seeks to identify the drivers that affect the future of financing methods in the oil industry.

The present study is applied in terms of orientation and a quantitative multi method from a methodological point of view. In this study, two quantitative methods of Best-worst and Copras were used to analyze the data. The theoretical community consisted of managers and senior experts in the field of financing oil projects. The sample size in this study was 10 people and sampling was done by judgment. To collect research data, three questionnaires of expertise, pairwise comparison and prioritization were used.

At first, research drivers were extracted using analytical literature review. Twenty-five drivers were screened using Binominal test and eight drivers were selected for final prioritization due to a significance coefficient of less than 5%. The remaining drivers were prioritized using the Copras technique, taking into account the three indicators of severity, degree of certainty, and expertise. The best-worst method was used to weight the indices and the degree of certainty index (0.542) had the highest weight. Finally, Copras analysis showed that the drivers of investment risks in the country, the situation of the capital market in Iran and legal and sharia restrictions in the field of financing and investment, respectively, had the highest priority in terms of influencing the future of financing methods of the oil industry.

Research proposals were presented with respect to important drives. The most important suggestions of this study were: considering the nature of project risks to choose the appropriate financing method, improving the capital market for foreign investors, removing legal barriers and adjusting legal restrictions to encourage investment and project financing, supporting fintechs by traditional financial institutions and finally, the efforts of diplomacy stakeholders to resolve foreign sanctions and restrictions.

Providing financial resources is necessary for the survival of any business. In supply chain networks, bank loans and commercial credits play a crucial role in financing. Supply chain networks are always affected by financial disturbances under uncertainty condition, therefore, the design of supply chain networks considering financial flows leads to the improvement of working capital. In this research, the supply chain network is designed and developed considering commercial credibility. Considering commercial credit at all levels in a three-level supply chain network including suppliers, factories and distribution centers can be stated as the main contribution of this study. In addition, considering the timing for the repayment of commercial credits by the factories and distribution centers in uncertainty conditions is another challenge of the present research. Due to the uncertainty of demand, supply chain planning should be done in such a way that the necessary financial resources for the production operations are incorporated. In this regard, the demand is considered under scenario-based uncertainty in the proposed model in which the maximization of the net present value as well as the demand estimate are the main objectives. The CPLEX solver was used for solving the model in small-sized instances and the Bee Colony and Wale multi-objective metaheuristic algorithms were used for solving the large-sized problems. The results show how commercial credit affects physical flow. Also, the Wale metaheuristic algorithm has a better performance than the other algorithm.

The knowledge and innovations resulting from it is one of the most important factors of economic growth and development of any country, which is manifested in the form of knowledge-based enterprises with the management and efforts of technological entrepreneurs of the society. It requires managerial knowledge and experience and financial resources. In this way, it is very important to finance these activities in such a way that it is provided to the companies at the right time, sufficiently and in the right way; Setting up the correct mechanism in the financial system to finance innovation requires a suitable framework for policy making in this area, therefore, in addition to solving the country's financial system problems, The results of the present research showed that the financial system of innovation in Iran has not been properly formed, which on the one hand refers to the lack of proper institutionalization such as risk-taking investment and the absence of technology service companies, and on the other hand, internally formed processes with Serious issues such as lack of financial capability of knowledge-based companies at every stage of their life cycle, lack of validation area, lack of domestic market, lack of access to global markets of knowledge-based products are facing the requirements of innovative projects and companies. For this reason, we need to review the policies, institutions and financing processes of innovative projects and enterprises. 

Financing of industrial investment projects and schemes is one of the main concerns of the management of economic enterprises. Therefore, it is necessary to consider different considerations in forecasting resources and costs. Long-term industrial investments are usually exposed to various risks.

This research is a type of developmental research in terms of type. In this study, sampling was done theoretically using targeted techniques (judgment) and snowball and based on interviews (until theoretical saturation). For data analysis, Strauss and Corbin method and paradigm model and MAXQDA software were used.

After analyzing the interview data, by determining the causal conditions (risky investment, appropriate financing model, management capabilities, company size, capital structure, government laws and policies) Underlying conditions (financial issues, infrastructure, political and legal factors), interventionist conditions (social capital, available resources and facilities, liquidity variables), central category (value creation, public-private partnership financing, development Technology), strategies (borrowing, investment, microfinance, foreign financing, domestic financing, Islamic financing) and consequences (efficiency and effectiveness of industrial units, improving competitiveness, job creation) , The model of financing development for investment in industrial estates has been extracted.

With the help of this model and its step-by-step implementation, Iranian towns and industrial areas can take advantage of its benefits and improve their competitive position and increase productivity in their organization.