جستجوی مقالات مرتبط با کلیدواژه « جهانی » در نشریات گروه « مدیریت »

The Purpose of This Research is to Determine a Suitable Model for Evaluating the Strategic Thinking of the Studied Employees. In This Research, Strategic Thinking from Global, Competitive, Outsourcing and Privatization Approaches, Productivity, Technological, Knowledge-Oriented, Motivational, Systemic, Intuitive, Innovation and Creativity, Customer-Oriented and Marketing, Thinking in Time and The Focus is on the Goal, and to Evaluate Strategic Thinking, we Can Examine These Dimensions. The Current Research is Survey in Terms of Method, Analytical in Terms of Type and Practical in Terms of Purpose. The Statistical Population of the Research is the Customers of Sadarat Bank Branches in East Azarbaijan Province. The Sampling Method was Clustered and the Sample Size was 200 People Using Cochran's Formula.In Order to Analyze the Data and Information, Descriptive and Inferential Statistical Methods Were Used and For the Statistical Description of the Variables, Frequency Distribution and Central and Dispersion Indices Were Calculated. For the Inferential testing of the Hypotheses, Independent t-Test, Analysis of Variance, Pearson and Multiple Linear Regression Were Used Step by Step and to Perform Calculations Related to Data Analysis, SP Software Package Was Used. SS has Been Used. The Findings of the Research Show that There is a Significant Relationship for the Evaluation of Strategic Thinking with its Dimensions.

For this purpose, in this study, modeling is designed to design a dynamic cement supply chain network to reduce post-crisis shortage. The facilities used in the model of this study are of the two types of temporary and permanent ones that are used to meet the severe demand created after the crisis. Time parameter One of the most important parameters is due to the cavitation of cement products and also the need to meet demand at specified time. In this research, this parameter is modeled in normal and post crisis situations. Disaster victims have a different preference for meeting demand. In addition to modeling this issue, alternative or similar items are also considered. Sustainable planning has been used to make sound decisions because of the demand-side sensitivity. Genetic algorithms, particle swarm optimization, and simulation refrigeration have been used to solve larger-scale models of the algorithm. According to the results, the algorithm is of better quality than the algorithms for different dimensions. Due to the importance of demand forecasting during the planning period in this study, the adaptive fuzzy neural network method is used for forecasting demand which FCM is the best known pattern recognition and adaptability algorithm.