درخت حوزه‌های تخصصی

As changes in information technology have a significant impact on the structure of companies, integration within the supply chain, which exists directly or indirectly in the structure of any company, can be beneficial for company performance. This study examines the indirect impact of customer responsiveness integration within the supply chain on the economic sustainability of the supply chain through the adoption of blockchain technology as a dynamic capability component in the automotive industry using a Bayesian Structural Equation Modeling (BSEM)approach. The statistical population of the study consists of experts, supervisors, and managers of automotive companies, with 123 individuals selected through non-probability sampling. To assess the validity of the questionnaire, opinions of experts weresought, and Cronbach's alpha was used to determine the reliability of the questionnaires. The SEM-AMOS24 software was used to analyze the research hypotheses and examine the validity of the model usingBSEM. Thefindings of the study indicate that internal integration, including customer and supplier integration, and external integration within the supply chain, have a significant impact on the relationship between blockchain technology adoption and the economic sustainability of the supply chain. Additionally, customer responsiveness about Supply Chain Integration (SCI) and economic sustainability is achieved by attracting desirable domestic and foreign investors.

Energy, besides other factors, production is considered the main factor in growth and economic development, and economics can play beneficial roles in the performance of different sectors. Hence, the country authorities should try to predict anything more precisely regarding energy consumption in the proper planning and guidance of consumption to control the way they desire energy demand and supply parameters. This paper aims to evaluate the hybrid model of artificial neural networks and genetic algorithms in forecasting demand energy to predict energy consumption in the country. A case study is energy consumption in Iran's transportation sector. So, for this review, we use the annual data on energy consumption of transport as a variable output of forecast models and data from the entire country's annual population, GDP, and the number of vehicles as the input variables. Evaluation results showed that themodel ofArtificial hybrid model of Neural Networks (ANN) and Genetic Algorithm (GA), campared toother models, has the highest accuracy in predicting energy demand in the transportation sector

Although it is unclear whether these services are reaching their full potential, mobile technology may assist smallholder farmers in receiving better financial services. This article fills the lacuna by providing an exploratory overview of the research on the effects of financial services offered by mobile phones on farmers, with a slight focus on Africa and other developing countries. The review emphasizes how little empirical data there is in this field. Results imply that farmers profited from advances in risk management, input management, post-harvest sales and loan disbursement ease. The evaluation also identifies several methodological flaws, most notably the use of lack of creditworthiness data and the diversion of resources by smallholder farmers

One of the biggest risks in the economies of countries is the bankruptcy of industries and companies. Predicting the bankruptcy of companies and industries provides the opportunity for the government, investors, and shareholders to take strategic actions to deal withcrises and prevent potential losses. From an economic perspective, financial distress can be interpreted as the company being loss-making, in which case the company has failed to succeed. In fact, in this case, the company's rate of return is less than the cost of capital. Another form of financial distress occurs when the company fails to comply with one or more of the debt covenant terms, such as maintaining the current ratio or the special value ratio to total assets according to the contract. Therefore, there is no general agreement on the definition of financial distress, and the reasons that lead companies towards failure are very different. One possible reason for failure is the wrong direction ofthe company, which can be analyzed through the financial ratios of the companies. Since the 1960s, many studies have only examined financial ratios as indicators of failure. Therefore, the analysis is the basis for improving and developing failureprediction models. In this study, the influential variables in predicting bankruptcy were first selected using backgrounds. The most important factors were identified with the opinions of experts, and the weight of each criterion was obtained using the AHP technique. Then, these criteria were ranked using the TOPSIStechnique to identify the most important factors. After completing these steps, by entering these variables into an artificial neural network of the multilayer perceptron type as input and using the backpropagation algorithm to train the network, the prediction accuracy increased, and accurate and reliable results were obtained

The present study aims to investigate the mediating role of reflective identity in the relationship between neuroeconomics and entrepreneurial decision-making . The research method is applied in terms of purpose and descriptive survey based on structural equation modeling in terms of nature and procedure. A questionnaire was used to collect field data. The face and content validity of the questionnaire was confirmed by experts and the construct validity was calculated using confirmatory factor analysis. The reliability of the research tools was calculated using Cranach’s alpha test and a composite reliability higher than 0.7 was achieved, which reveals the appropriate validity of the research tools. The statistical population of the research consists of 110 entrepreneurs based in the Science and Technology Park of Zahedan. Morgan's table was applied to determine the sample size, and 86 individuals were selected as the statistical sample by using simple randomization. For analyzing the research data and answering the research hypotheses, SPSS23 and Smart PLS software and the structural equation modeling test were used. The research findings indicated that reflective identity has a mediating role in the relationship between neuroeconomics and entrepreneurial decision-making of the entrepreneurs based in the Zahedan Science and Technology Park. It should be mentioned that a better understanding of the issues pertaining to the upcoming choices for entrepreneurs will lead to better decisions. Therefore, this understanding of the neural basis of decision-making can lead to entrepreneurial decision-making in a special way, which often includes risky choices under conditions of uncertainty.

Southeast Asian countries have always been the focus of oil producers due to the increase in population and the trend of economic growth. In the last two decades, Indonesia has been prioritized as one of the new markets for Iran due to its high population and forecast to become the fifth largest economy in the world and the upward trend of energy demand. The purpose of this research is to investigate the capacities of Indonesia using the documentary library research method. Indonesia is a developing country and has an increasing economic and population growth trend, which is facing an increasing demand for energy. For this reason, this market is always the focus of major oil producers.The results of this research show that the refinery capacity of Indonesia's need for petroleum products in the form of joint venture or take-off method to create a sales chain in this country can increase its dependence on Iran. And as a result, more market share can be obtained and also the joint investment cooperation in the upstream development sector with Indonesian oil companies in the direction of developing its fields is also significant. The first question in this research is “what are the capacities of joint cooperation with Indonesia in the field of oil industry”, and the second question is “what are the capacities of joint cooperation between Iran and Indonesia in the field of oil industry?”