عباس طلوعی اشلقی

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.

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.

The purpose of this paper is to prepare a hybrid simulation model of system dynamics (SD) - agent-based modeling (ABM) to investigate the mobile service consumers’ behavior in the country. By using the suggested in this article, first the necessity to analysis consumers’ behavior is explained and then the effective factors on mobile ecosystem which influence the consumers’ behavior are explained . For each factor affecting on the ecosystem, related simulations were performed and then by combining system dynamics modeling - agent -based modeling, the behavior of mobile service consumers in the first operator of the country (Hamrahe Aval Company) was examined and finally the income affected by that behavior is analyzed . Results indicated that if no funds by the operator are allocated to the development of native applications and digital platform, after 2 years, the number of active customers of the operator will decrease because of the activities of cultural organizations. By the operator entering into the field of native application production and digital transformation, consumers tended to use more data services instead of voice calls, but because of different data and voice tariffs, the operator's income will not change much in the next 2 years. With the increase of marketing and advertising activities, despite the greater consumer inclination to use data, the main income of the operator decreases, which also needs more attention of policymakers in this area .

Qualitative information security risk assessments are somewhat subjective and the high degree of subjectivity associated with the perception of risk means that management is often skeptical of risk analysis results, and is unwilling to make important decisions based on that. Besides, the process of information security risk assessment is quite complex and rife with uncertainty and without taken into account the uncertainty of information security risk assessment the results can be misleading. Therefore, in this paper, the Fuzzy Multi Criteria Group Decision Making (FMCGDM) model is proposed to address the above-mentioned problems. The focus group method used to identify risk parameters and the Delphi method is used to construct a hierarchy for risk parameters. The findings of this research would be useful for the information security department to become more capable in analyzing the InfoSec risks and reducing the consequences of subjective assessment. A case study involving an actual information security risk management project was presented to illustrate the use of the proposed model. Computational results demonstrated the efficiency and effectiveness of the presented model that can assist InfoSec risk analyst to better evaluate InfoSec risk.

Competency management and development are vital tools to increase competition in organizations and the goal of the competency-based approach is to "determine the competencies needed by top people in key positions across the organization, efforts to close competency gaps through effective selection and training and ensuring that good performance is recognized and rewarded." Now, considering the increasing role of state banks as the most important financial and economic institution in the construction of the country, the present study seeks to provide an intellectual capital model with a competency approach of managers in state banks and intends to enumerate the dimensions of the main and important competencies of the managers of state- banks to help senior executives of state banks identify the right people, with the advent of the information technology revolution, the global economic paradigm changed dramatically after the 1990s. In today's economy, knowledge, as the most important asset, has replaced financial and physical capital. Intellectual assets are non-competitive assets. Unlike physical assets that can only be used to do a particular task at a particular time, intellectual assets can be used simultaneously for several specific purposes. This ability is one of the most important criteria for the superiority of intellectual assets over physical assets. This research seeks to provide an intellectual capital model with a competency approach of managers in state banks. Based on the findings, intellectual capital can be influenced by the factors of customer capital, social capital, structural and human capital, knowledge capital, foreign capital, domestic capital, spiritual capital, technical capital and communication capital. The components and indicators related to each of the mentioned dimensions have been discussed separately in the previous pages. Based on in-depth semi-structured interviews with experts, it can be concluded that: human capital, structural capital and social capital as the first to third priorities are the dimensions of the intellectual capital model of state-owned banks with the competency approach of managers.