رضا رادفر

The purpose of this study is to provide a model with a dynamic system method to investigate the factors affecting the technological capabilities enhancement in the high-tech industries of high-speed train of the rail transportation system. For this purpose, after reviewing the literature and conducting several meetings with experts in the rail transportation industry, a conceptual and qualitative structure of the subsystems and how they relate in this area were obtained. Then, in order to identify the effective dynamics in upgrading technological capabilities in high-tech industries in high-speed rail transportation, causal loops were drawn and the model was simulated with VENSIM software. Then, using a simulation model, the technology development process was modeled based on the developed structure. Finally, in order to consider the uncertainty space, based on the expert’s opinions, two scenarios of optimism and pessimism were considered. Based on the obtained results, variables such as having a suitable vision for technology development, recognizing basic technological priorities, ability to use and control technology effectively in main and support processes, ability to learn from one technology to another, ability to identify, evaluate, negotiate and finalize the terms of technology acquisition and support facilities, the ability to identify customers, announce auction prices and negotiate terms of sale, the ability to plan, monitor and control research and development projects and having  a proper system for evaluating technological projects,  have  great impact.

Context/purpose: Factors affecting the technology, and innovation levels of crude oil treatment’s surface facilities, are numerous and extensive. Localization of surface facility as a high-tech Technology, which include oil and gas production and processing units, has always been one of the main issues, and technology management and innovation are essential priorities for these facilities. The purpose of this practical, heuristic, and quantitative research is to develop the studies and identify the current state of technology for crude oil treatment’s surface facility technology level in Iran and compare it with its global one. Methodology: Considering the wide range of factors that are used in evaluating technological and innovative capabilities with uncertainty. This research is applied in terms of purpose. Using a survey method and collecting qualitative data through a questionnaire, has led to descriptive results. This study by referring to experts and specialists, these factors according to their importance and priority in different classes of classification and then with statistical analysis, the relationship and correlation of these factors have been examined. For this purpose, 44 experts in oil and gas industry have been used for replying the qualitative questionnaire, then the fuzzy system model has been used to investigate the uncertainty in their answers and Quantitative results. Findings: The results of this study show that the most influential factors in surface facilities such as technological and innovative factors and managerial potential and human resources, etc. are not at an acceptable level compared to developed countries. Conclusion: The analysis of uncertainty between opinions of experts and factors investigated also confirms that attention to innovation and technology capacity and Technology capability and human resources in the National Iranian Oil Company should be increased.

Agility of the supply chain is one of the main challenges in organizations which acting in a dynamic and complex environment, which they have to be able to answer to customers quickly. But the agility of supply chain is influenced by different agents. Using the model based on agent, this study has tried to simulate the agility of supply chain in an institute of higher education. There are three impressive elements are used in this model called as: smooth, offender and fault case, which those are also categorized in two groups impressive and impressible. There is a model is designed by using NETLOGO software which examines the impression and impressibility on each other. After executing the model at the case studied university at point of Time-769, the organization’s improvement will be possible in the best estate. All offender elements are reduced at this point.

This study was designed to explain the Blockchain acceptance indices in Iran's financial markets aimed at identifying different angles for the implementation of Blockchains. The Blockchain acceptance indices were extracted in 4 levels, 12 variables, and 53 indices of related research literature in the field of e-commerce and mobile banking. To validate the research indicators, the Fuzzy Delphi technique was used to refine the indices in addition to the documentary study. The survey was conducted in three stages and the results of each stage were refined. Based on data analysis, 39 indicators were confirmed. The results of this study can provide useful insights for researchers and policymakers of Iran’s financial markets to understand the prerequisites and effects of the Blockchain implementation on financial markets, and thereby, they would be able to change business models to take advantage of Blockchain capabilities in the infrastructure of Iran’s financial markets by considering different aspects.