درخت حوزه‌های تخصصی

The electronic industry suffers a rapid changing and highly rival environment. Thus, firms have an essential need to strive for acquiring the competitive advantage. Strategy Organizational Agility (SOA) is a tool which enables to assist firms to attain the competitive advantage. Therefore, this study benchmarks the core competencies from a case study within the supply chain network and establishes a set of attributes for augmenting SOA. A novel multi-criteria decision-making structure is proposed to deal with the complex interrelationships among the aspects and attributes. Radial basis function (RBF) neural network can use linear learning algorithm to complete the work formerly handled by nonlinear learning algorithm, and maintain the high precision of the nonlinear algorithm. However, the results of RBF would be slightly unsatisfactory when dealing with small sample which has higher feature dimension and fewer numbers. Higher feature dimension will influence the design of neural network, and fewer numbers of samples will cause network training incomplete or over-fitted, both of which restrict the recognition precision of the neural network. The competence and accountability indicators can the continuously increasing level of agility to be effective. According to the analysis chart production and product design performance indicators alone cannot level a considerable amount of agility to change. But reducing the level of the index level of agility is reduced. Flexibility indices speed and agility level changes can also affect the organization. But with increased levels of these two indicators increased agility rate change indicators will be more flexibility. The results showed that customer knowledge management impact on organizational agility and organizational effectiveness and customer knowledge management through organizational agility has significant positive impact on organizational effectiveness. Finally, some practical suggestions, future research suggestions and research limitations are presented.

Performance evaluation is one of the most important management agendas as key to achieving continuous improvement in the ability to evaluate the ongoing performance of the organization. Many organizations have realized the importance of ongoing evaluation of performance and performance appraisal systems employ a variety of organizations. In this regard between 1850 and 1975, only on the basis of financial measures to assess the performance of the organizations involved, for reasons such as: encouraging short-term view of the lack of strategic focus and inability to provide data about the quality, responsiveness and flexibility, encouraging an optimistic view, the failure to provide information about what customers want and how competitors were criticized. Methods: This study intends to evaluate the model ordinary native city through the provision of integrated model questionnaire and analyze the results it provides. The proposed model schools ranked theoretical and mathematical description is composed of two parts. This model utilizes the model of the Balanced Scorecard, developed its shape or conceptual cross section of the rating model, the recall is complete. All the research community to the city of Qazvin is no ordinary high school. A total of 177 patients were collected points. For the analysis of data obtained from the decision matrix with TOPSIS technique and Excel software to compare the two choice expert significant part of this research is 5%.packaging determined. The results of the ranking of schools with units 2 TOPSIS indicate that the school is the top priority compared to other options. Conclusion: All the components of the index and rank high schools in the city of Qazvin no effective diagnostic data obtained for decision criteria are less than 0.05. So all indicators can be used to evaluate the performance of ordinary high schools, theoretically, contribute to the city of Qazvin.

In the information and communication era, management information systems play an undeniable role in organizations. Bank Parsian is a Iranian banking and financial services company, which has a network of 273 banking branch, known as the largest Iranian private bank. This research examines the gaps in customer relationships systems in Bank Parsian based on characteristics of management information system and in this study tries to answer this question “is there a significant relationship between customer relationship management (CRM) information systems and performance of Bank Parsian? The study place is the territory between the employees of Parsian Bank in Tehran. The study was conducted for 6 months in 2015 and the population is consisted of all managers and experts. This study conducts in Parsian Bank, which the number of employed managers and experts about 168 people estimated. In this study, simple random sampling was used and sample size was determined using Cochran formula. The sample was calculated according to confidence level 95% and probability of error 5% and the population size was 168, the sample size is 117 people. The results showed there is a significant relationship between customer relationship management (CRM) information systems and internal performance and process performance and financial performance in Parsian Bank. As well as there is a significant relationship between customer relationship management (CRM) information systems and performance in Parsian Bank.

Hail phenomenon is one of the hazardous weather phenomena that can make the highest amount of damage to farms, gardens, cars, rooftops, etc. in a very short time (a few minutes), depending on the diameter of the particles. One of the best ways to study this devastating climatic phenomenon is the use of atmospheric instability indices. The indices which are calculated with the help of radiosonde data give a fairly comprehensive vision regarding the occurrence of such phenomenon. In this study, the incidence of moderate to severe hail is investigated in the period of 1990-2010. First, the atmospheric codes related to hail phenomena were applied to extract the data, then radiosonde data in intended time were received and applying the RAOB software, the physical status of atmosphere was studied. In the studied period, two hail examples were reported on November 27, 2008 and December 5, 2008. In the first instance of hail that occurred on November 27, 2008, the status of some indicators was calculated and it was found that LCL was at an altitude of 284 meters, CCL at an altitude of 1582 meters, LFC at an altitude of 6230 meters, the ice surface at an altitude of 3278 meters, the LI index was -0.2, the K index was 25.7 ° C, and PWC was 28 mm. In the above mentioned conditions, there was a hail with a diameter of 25.4 mm. In the second instance of hail that occurred on December 5, 2008, the status of some indicators was calculated and the results showed that LCL was at an altitude of 280 meters, CCL at an altitude of 1762 meters, LFC at an altitude of 2271 meters, the ice surface at an altitude of 2771 meters, the LI index was -1.4, the K index was 27.1 ° C, and PWC was 23.6 mm. In the above mentioned conditions, there was a hail with a diameter of 3.6 mm. Given that in many ways, the status of most atmospheric indicators in the two above examples of hail were close to each other, it turns out that in similar circumstances, the greater the distance the ice level gets to the summit of cloud, the greater is the probability of hails larger in diameter. The value of this distance for November 27, 2008 was at approximately 6384 meters and for December 5, 2008, it was at about 5012 meters.