فاطمه اسکندر

The purpose of this research is to investigate the impact of the customer's sensory, emotional, behavioral and mental experience on the intentions of customers who shop online, taking into account the mediating role of customer interactions in the tourism industry in Tehran. The research method is practical in terms of purpose and survey in terms of data collection. The statistical population is internet customers who use the sites that provide tourism services in Tehran. The statistical sample is 384 people who use internet sites to purchase tickets or online travel services. The non-probability sampling method is available and the data collection tool is a standard questionnaire. Structural equation modeling and Smart PLS3 and SPSS software have been used for data analysis. The findings of the research showed that customers' experiences have a positive and significant effect on customers' behavioral intentions in the tourism industry, and they will use those services in the future and recommend them to others. Also, customers' experiences have a positive effect on customers' cognitive interactions. It has meaning. The obtained results show that expanding the sensory, emotional, behavioral and cognitive aspects of tourism brands leads to a better customer understanding of the brand, which in turn affects their future behavior.

In advanced organizations, the decisions and strategies of managers throughout the supply chain require the use of knowledge management. Production of high quality product to meet market demand and delivery in quantity and on time to customers is one of the most important goals of production units. Therefore, the issue of service and delivery of goods to customers is of special importance, according to which the company's strategy in interaction with customers is determined. Therefore, the management of this strategy requires forward-looking decisions and the design of new capacities with a comprehensive and interconnected approach and can not be achieved through a static approach. Also, knowledge management in different organizations has been adapted by effective use of resources and improving customer service and achieving competitive advantage. In this study, we seek to provide a dynamic model to evaluate the impact of knowledge management on improving customer service in the framework of system thinking. This study has been studied in a petrochemical company over a period of 20 years. In this field, first the main variables are identified and their relationships are formulated in the form of causal loops, then completed by designing the main model in the form of flow accumulation diagram and simulated in Vensim software, which finally presents the proposed strategy at the end of the period. Finaly, the amount of customer service increases by 15%, which leads to more demand coverage by 12% in the whole system.

The purpose of this study was to investigate the role of faculty members' teaching professional ethics in student loyalty and the equity brand of the university at the Iranian Electronic Institute of Higher Education. Three standard questionnaires were used  for data collection: 1) Professional Ethics of Teaching including personality traits, content management, mastery of teaching methods, recognition of different dimensions of learner, standard appraisal and observance of laws and regulations; 2) the Customer Loyalty Questionnaire including cognitive, emotional, voluntary and practical loyalty dimensions and 3) Brand Equity Questionnaire including brand loyalty, perceived brand quality, brand association and brand awareness dimensions. The statistical population of the study consisted of all students Iranian Electronic Institute of Higher Education. Random and available sampling method and Levi and Lamshou sample volume formula selected 119 people... For quantitative analysis of data, Structural Equation Modeling with Partial Least Squares (PLS) approach was used. The results of confirmatory factor analysis showed that all observable and latent variables had factor load higher than 0.70 on their corresponding latent variable and were confirmed at the level of 0.01.

The importance of work teams in organizational performance has recently drawn the attention of many scholars. So, it seems necessary to identify and rank indicators and criteria affecting team performance in organizations. This study is aimed at identifying and ranking the indicators and criteria affecting team performance in the Faculty of Management and Economics of Islamic Azad University, Science and Research Unit of Tehran. In the qualitative part of this research, meta-combination method is employed. Quantitative method is employed for ranking of the indicators and the criteria. To achieve this, field studies and meta-combination method are used to identify the criteria affecting team performance. SPSS software is applied in the qualitative analysis. The identified criteria have been referred to 22 experts at hand in order that they score on the basis of spatial scope of the research. In the next step, based on the results achieved by the experts' scoring of the criteria, seven indicator were identified with their criteria. In the next step, the ranking of indicators and criteria were identified.

In recent years, the importance of work teams in the field of organizational performance has been very much considered. In this regard, the identification and ranking of indicators affecting team performance in organizations should be considered. Azad University, as one of the educational enterprises, is not a part of this. The purpose of this research was to identify and rank the indexes and criteria affecting team performance at the Faculty of Management and Economics of Tehran Science and Research Branch. Qualitative research method. To this end, using field studies, identifiers that have an impact on team performance have been identified and made available to 20 experts in order to score points based on the realm of research. In the next step, based on the results obtained, 6 indicators and sub-criteria of each indicator are determined. In the further research, the indexes and criteria are ranked according to the method of Dimetal and Fuzzy Hierarchical Analysis (AHP). Paired comparisons are based on expert opinion. According to the results of the research, it appears that the team composition index in terms of experts has the greatest impact on teamwork at the faculty of management. Also, the active approach criterion will have the greatest impact on team performance.

Given the importance of the role of human resources in organizations, strategic planning for achieving the optimum number of human resources in an organization is vital. The purpose of this research is to present a model for simulating and predicting team performance in industrial management teams in order to identify human-resource performance and improve human-resource management strategies. The factors that influence team performance are identified and extracted from previous studies, and then the timing of each task is examined in three scenarios, i.e. optimistic, probabilistic and Web-based, by identifying the processes that influence team performance. Model inputs are the number of students, the number of faculty, and the number of experts. Based on related studies, team performance outputs are three categories: The number of books, articles and theses; the desirability of team members; and the number of tasks completed, rejected, needed to revise or waiting in queue. The simulation was performed using AnyLogic software. The results show that the desirability of the group manager and the training expert have the highest values in most scenarios, and the number of tasks in the execution queue has a significant value in all scenarios. In some cases it is essential that new policies be adopted to improve HRM strategies in the industrial management group.

Technology is an essential part of today's human life and is one of the most important factors in the production of goods and services. The technology by influencing in social life has gone beyond simple mode and has become an environment that influences attitudes, values, and so on. For this reason, technology management, especially in the field of information, is of considerable importance. Therefore, the purpose of this study is to examine different models of technology evaluation, the expression of models and indicators that can be used in the evaluation of technology in the field of information. According to the above mentioned concept, the main question of the present research is that how the effective factors function in assessing the level of technology and this article examines this hypothesis by a descriptive-analytical method. Meanwhile, this research is an applied target. The result of the following article shows that the assessment of the technology level as an important step in the process of technology management, plays an important role in technology awareness. So the technology, like other competitive resources, needs to be managed according to a strategic perspective.