فهرست مطالب ارسلان نامی

The main purpose of this research is to design a model of Islamic- Iranian professional ethics for managers in (T V U).

This research was done based on the grounded theory approach.The statistical population is managers and vice-presidents of the Technical and Vocational University which 9 of these people were selected by purposive sampling.Causal, intervening, contextual conditions, main phenomenon, strategies and consequences of the model of Islamic-Iranian professional ethics of managers were first summarized in 156 primary codes.Then, these codes were categorized in 24 general categories by using MAXQDA software.

The findings of this research showed that the causal conditions of managers' professional ethics model include inappropriate administrative rules and regulations, communication and processes, human resources conditions, and organizational conditions.The background conditions of the model of managers' professional ethics include managers' beliefs, beliefs and attitudes, managers' behavioral skills, managers' communication skills, and human resources characteristics.Intervening conditions of professional ethics model of managers include cultural factors, economic factors, managerial factors and organizational atmosphere.The central phenomenon of the professional ethics model of managers includes factors related to the individual, factors related to the organization, and social factors.The strategies for implementing the model of professional ethics of managers include ethical charter, organizational policies, training programs, appointment and promotion, encouragement, punishment and motivation and supervision, control and feedback.The consequences of the professional ethics model of managers also include financial performance, non-financial performance and social performance.

The model of Islamic- Iranian professional ethics of managers consists of causal, background, intervening conditions, main phenomenon, strategies and numerous consequences.

This goal of the research is identify, categorize and causally map the components of a successful brand in higher education. This research in terms of purpose; functional, in nature; exploratory-analytical; in data collection method, it is a combined (qualitative-quantitative) method. In the qualitative phase, the components of a successful brand were identified by reviewing the literature and research background and experts' confirmation. Then, using the opinion of experts, these components were categorized. Ultimately, by using a pairwise comparison questionnaire, the required data was extracted from 11 experts of the technical and vocational university, and by using the causal mapping approach, the successful brand model was designed with the integration mental map of the experts. The findings of the qualitative phase showed that a successful brand in higher education consists of 6 components, which were divided into university image, costs and financial matters, university services and facilities, advertising and external communications, planning and success of education and the location of the university. The highest relationship between variables is related to the relationship between university services and facilities with costs and financial items. Then, between the university image variables and university services and facilities. The weakest relationship is between the cost and financial variables with the university image and educational planning and success with costs and financial items. Successful brand consists of university image, costs and financial matters, university services and facilities, advertising and external communications, planning and success of education and the location of the university.

In today's highly competitive markets, it is impossible to eliminate or ignore the resources of turbulence. Hence, supply chain managers must accept uncertainty and look for an approach to adapt to such conditions. Therefore, the purpose of this study was to design a supply chain agility model with fuzzy DEMATEL approach in the oil and gas industry in Khuzestan Province. This research was quantitative research with fuzzy DEMATEL approach. The statistical population of the present research consisted of experts in the oil and gas industries in Khuzestan Province. Based on this,10 experts were interviewed from the oil and gas industries in Khuzestan Province. Supply chain agility factors in the oil and gas industries included flexibility, competitive price, reliability, responsiveness, customer relations, quality, speed, availability, innovation, and up-to-date and competence. The required data was collected using a pairwise comparison questionnaire. In order to analyze the data, the fuzzy DEMATEL approach and sensitivity analysis with Excel software were used. Findings showed that the factors of flexibility, competitive price, quality, availability and innovation and up-to-date were in the group of causal variables and the factors of reliability, responsiveness, customer relations, speed and competence were in the group of effect variables. The findings of sensitivity analysis also revealed that for every 10% change in the independent variables of flexibility, or responsiveness, or competency, the supply chain agility increased by 1.1%. In addition, the findings demonstrated that for every 10% change in the independent variables of customer relationship, speed, or availability, the supply chain agility increased by 1%.

The success of a brand, particularly in the service sector, has been considered by many researchers. The purpose of this study was to identify the components of a successful brand and to validate the status of a successful brand in higher education. The method of this research was hybrid. The statistical community in the qualitative part included experts of the Technical and Vocational University. 10 people were selected using the snowball sampling method. Semi-structured interviews were used to collect data. Content analysis and open coding method were used to analyze the data. In the quantitative part, the statistical population included the staff of Technical and Vocational University. First 17 experts were selected for analysis and then 67 university staff were selected as a sample by simple random sampling method. In order to analyze the data, the structural equation modeling approach with SmartPLS version 2 was used. Qualitative findings showed that a successful brand consists of the categories of university image, costs and finances, university services and facilities, out-of-university advertising and communication, educational planning and success, and university position. Path analysis findings showed that the factor load of the questions related to each variable was higher than the standard, so the questions could explain the relevant variables well. Statistical t also showed that there was a significant relationship between the questions and the relevant variables. The findings illustrated that the greatest gap between the current and favorable situation was related to the categories of university credibility, university partnership with society, perception of individuals and society of the name of the university and the quality of education.

Today, human resources have become the best competitive advantage in organizations. Workforce agility can make an organization superior to other organizations. Therefore, the purpose of this research was to identify and prioritize the components of workforce agility in the insurance industry. This research was of a mixed type. The statistical population of this research included the active employees in the insurance industry of Kerman Province. 8 industry experts were selected as the statistical sample in the qualitative and quantitative phases. In the qualitative phase with thematic analysis approach, the components of workforce agility were identified and the reliability and validity of the tool was confirmed. In the quantitative phase, workforce agility components were prioritized with the fuzzy DEMATEL approach. Qualitative findings showed that sixteen open codes were categorized into six core codes and core codes were categorized into three optional codes including individual, organizational and social characteristics. Selected open codes of workforce agility (as quantitative phase input) included technical knowledge, motivation, trainability, effective communication, emotional intelligence, adaptability, teamwork, creativity and innovation, and analytical ability. The quantitative findings showed that these components, in order of priority, were creativity and innovation, analytical ability, emotional intelligence, motivation, teamwork, technical knowledge, trainability, effective communication, and adaptability. Additionally, the findings showed that teachability, effective communication and adaptability were classified under the cause variables group; emotional intelligence, teamwork, creativity and innovation and analytical ability were grouped under effect variables and technical knowledge and motivation were grouped under neutral variables.

This article has analyzed the gap between the current and desired status of the successful brand in higher education. The statistical population of this research was formed by the experts of Technical and Vocational University in Iran. 17 of these people were selected as a sample using the purposeful sampling method. In order to collect data, a questionnaire was used and the validity and reliability of the questionnaire was confirmed. Paired t-test was used to analyze the gap between the current and desired status of research components in higher education. Therefore, through theoretical literature review, 103 components were identified regarding the successful brand in higher education. Finally, based on the opinion of the experts, among the identified components, 47 criteria were identified as successful brand criteria in higher education, and these criteria are included in 7 general indicators, including university image, cost and financial matters, university services and facilities, advertising and extracurricular communications. , technology and development, planning and educational success and the location of the university were classified. The findings also showed that there is a significant difference between the current and desired status of all the main components and categories of research in technical and vocational university.