دکتر حمید بابایی میبدی

Purpose and context:

The speed of changes and its epidemic in the current era has changed the type of skills needed in the labor market, in such a way that it is no longer possible to respond to the educational needs of society with past-oriented and one-dimensional planning, and to create lasting and effective changes, an interdisciplinary and future-oriented approach is needed.

The current research is among the mixed designs and it is applied in terms of purpose and descriptive in terms of data collection and the scenario writing method was used.Four different scenarios were set for the two drivers that had the highest weight in terms of importance and degree of uncertainty.

In this research, four scenarios of the future of accounting education in Iran were obtained by combining the two main uncertainties regarding the drivers of accounting education, which were described and illustrated in the final stage of this study and with the approval of experts.

Although many and interwoven factors influence the future of accounting education in Iran, but the most priority drivers according to the opinion of experts are the emergence of start-ups and the expansion of business opportunities related to new educational methods, which from the intersection of these two uncertainties, four The scenario of transformation, an impenetrable fortress, entry for the public and finally a custom production line is conceivable from the future of accounting education.

Choice is a new concept in today's world. Most people in developed countries make more choices, both on a daily basis and in relation to their way of life, than they did a hundred years ago. A comparison of the twentieth century with the nineteenth century shows a kind of prosperity achieved through the growing systems of production and distribution, which some interpret as freedom of choice. What is clear about choice is thinking about the criteria for choosing or not choosing, and not only about the concept of how people live but also about the way they think and their identity. Choosing the right food is the first step to having a healthy society. The science of marketing seeks to influence consumer behavior. Consumers’ behavior is strongly influenced by their cultural, social, personal and psychological characteristics. Of course, marketing of the food industry is not possible without considering the criteria for choosing food in the purchasing decision. The food selection criteria in purchasing decisions have been more or less extracted in previous studies, but the relationships between such elements are complex. This complexity varies among consumers with different demographic characteristics. Among consumers in the adolescent age group, however, these differences will face other aspects of purchasing decision criteria. In addition to marketing activities, food industry marketers are concerned about adolescent food health, so are parents and organizations that support healthy nutrition. Therefore, identifying the relationships among the determinants of food choice in adolescents is an important issue that requires proper research. Therefore, the purpose of this study is to find a model to present the relationships between the extracted elements in relation to the criteria for purchasing decision-making in adolescents. Understanding the relationships among these criteria will certainly help marketers, parents, and teen nutrition organizations. Developing a model to determine the input criteria of the purchasing decision-making process in adolescents meets the purpose of the study. The present study is fundamental in terms of orientation and interpretive in terms of research philosophy. Its main strategy is methodological pluralism using two strategies simultaneously. It is based on a qualitative approach and is conducted through combining the two methods of thematic analysis (thematic) and modeling. In the qualitative part, the criteria were extracted by a content analysis, and 20 themes and hidden concepts were extracted from 22 Yazd adolescents in the age group of 10 to 14 years old. The analyses were performed with the 10Nvivo software through structured in-depth interviews. A science was included in the study and 4 components were studied as researcher-made components. In the quantitative part, the opinions of 12 experts, including 6 university professors and 6 managers of restaurants in Yazd were collected regarding the variables. The data were presented by interpretive structural modeling in the form of an applied and abstract model with Excel and Micmac software programs. In this study, 107 primary codes were selected as the sample. Through repeated revisions and the integration of codes based on similarity and relevance through various stages, 14 main themes and 107 sub-themes were extracted for the concept of food choice decision by Iranian adolescents. What follows in the form of 14 categories is the result of a process that began with initial observations and considerations and the identification of indicators. Then, the obtained indicators were categorized and summarized in the form of concepts. Finally, by the integration of the concepts in a more general form, the 14 categories were studied (including, sensory attractions, lifestyle, tendency to modernity in adolescents, religious beliefs, hope for the future, hope for the future, communication, health orientation, familiarity, age of puberty, customer loyalty, ethical concerns, marketing mix and hedonic effects). The results showed that, in addition to the identified components, other components were also effective in the statistical population of adolescents. Also, by interpretive structural modeling, a model consisting of these components was presented to expresses the relationships among them. Knowledge of consumer behavior is considered as an important competitive advantage which leads to a significant reduction in wrong decisions. Consumer behavior in marketing may be less considered. Through consumer behavior marketing, instead of focusing on finding the right customers for the products, one can focus on finding the right products for the customers and coordinate all the corresponding activities that affect the customers and increase profits by creating more satisfied customers. In this study, in addition to the components adapted from previous studies, variables such as puberty, eugenicism, nostalgia and hope for the future have been added to the model, and the relationships among these variables and other components are determined.

Reducing environmental pollution and selecting sustainable suppliers can lead to improving the stability situation and reducing the risk of supply chain disruption. The purpose of this study was to design a model for selecting stable resilient suppliers in the supply chain of Shahid Ghandi Company with intuitive fuzzy AHP approach.

The present research is an applied-developmental goal in terms of collecting descriptive information and in terms of the nature of data. The present study consists of two main parts. In the first part, using research literature, the criteria for selecting a stable resilient supplier were identified. To obtain the indicators, after reviewing the theoretical literature of the research, 76 indicators were identified for evaluation of sustainable supplier and 50 indicators for evaluation of resilient supplier, which after four stages of supply chain experts in Shahid Ghandi factories using Delphi model method Finally, 15 suitable indicators for sustainability and 15 suitable indicators for resilience were identified, then a questionnaire was distributed among the employees in the supply chain of Shahid Ghandi Company and based on 136 questionnaires, the model of selecting a resilient sustainable supplier Confirmatory factor analysis method was approved and then intuitive fuzzy AHP method was used to select the supplier.  

Sustainability indices were classified into three sections: economic, social and environmental, as well as resilience indices in three sections: absorption capacity, adaptive capacity and restorative capacity. It was spread among experts.

The results showed that priority is given to economic indicators, absorption capacity, remedial capacity, adaptive capacity, social and environmental, respectively, and finally suppliers were prioritized. Also, among the sub-indicators, cost and quality are the most important They were.

Given that in today's world, factors such as population growth, increasing efforts to achieve economic growth and production systems to increase production and achieve competitive advantage lead to the loss of natural resources, global warming, climate change, Natural disasters and ultimately environmental degradation and green production has been proposed as an effective factor in reducing environmental pollution and human risks as well as increasing competitive advantage and profitability for organizations. This study aims to design a conceptual model of green production with a modeling approach. An interpretive structure has been developed.

In this study, which is synthetic and inductive-deductive in terms of data collection method, and was conducted in 1400, and 12 industrial management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative section, which used meta-synthesis and Delphi analysis, the aim was to identify the themes of green production and then in the quantitative section, with the participation of 16 managers of knowledge-based companies in the green production section, the propositions identified in ISM templates should be graded based on influential priority. Therefore, relying on meta-synthesis analysis, the first 12 studies were reviewed as a basis for evaluation to determine the themes of green production based on critical evaluation, based on which eight themes were selected and entered into Delphi analysis in a checklist manner to determine theoretical adequacy. During the two stages of Delphi analysis, all eight identified themes of green production entered the quantitative analysis section, i.e., structural interpretive analysis.

The results showed that the most influential components of green production of knowledge-based companies are the five components of water (C1), energy (C2), natural resources (C3), capital (C5), and labor (C6), which is at the third level of the proposed model. Also, a Mick Mac analysis as a complementary interpretive structural analysis was performed to better understand the research topic.

The results showed that the factors of energy consumption, water consumption, labor, capital, and raw materials are important factors that any change in them will cause changes in other variables and on the other hand, GDP is with the low impression, and greenhouse gases and technology is the most impression variable.

The present study aimed to identify and categorize the effective drivers shaping the future of accounting education in Iran in a scientific and systematic manner.

Even if numerous methods have thus far developed for futures studies, it seems essential in most cases to identify the significant drivers affecting the future. For this purpose, the present study was an attempt to analyze the effective drivers in the future of accounting education through desk research methods and a survey of expert opinions, and then identify the most important ones using the Delphi method.

In total, 27 effective drivers shaping the future of accounting education in Iran were categorized based on the EPISTLU model, and then divided into seven groups; namely, economic, political, institutional, social, technological, legal, and academic. The study participants also included 15 experts engaged in the field of accounting and familiar with futures studies topics.

The categorization of the study findings with reference to the above-mentioned seven groups demonstrated that many intertwined drivers were involved in the future of accounting education in Iran. Accordingly, it is crucially important to reflect on all these various drivers and plan for them to shape the future of accounting education in this country. Therefore, analyzing and categorizing such drivers paves the way for prioritizing and determining the importance of each one in the future of accounting education in Iran.

The spread of Covid-19 in the world and the increase in fear of the disease caused by it, has paved the way for cyber criminals to take advantage of this situation and has led to increase the various types of scams associated with this virus around the world. In this context, improving the quality of information published by the media is an important factor in controlling rumors and gaining citizens' trust to participate in social media as a technology platform for government services. However, despite its importance, no research has been conducted on the factors that may protect individuals against cybercrimes associated with Covid-19 outbreak. The present study highlights the importance of social media in managing information security during the outbreak of crisis.

As far as applied aim, nature and method are concerned, the present study is of descriptive-survey correlational type. In the study, using planting theory and protection motivation theory, a research model has been developed to investigate the impact of social media information quality injection on individuals’ information security behavior in relation to scams caused by the Covid-19 outbreak. Structural equation modeling using SMARTPLS was also used to analyze the 207 questionnaires collected from social media users.

The results indicated that the quality of information published by the media affects the security behavior of users' information through perceived intensity, perceived vulnerability, self-efficacy and response effectiveness.

The media could be considered a targeted tool used to control or reduce the perpetration of cybercrime via improving the quality of information that leads to the control of rumors in cyberspace, in proportionate with the type of crime prevention programs, the type of audience and their users.

The purpose of this study is to investigate the effect of oralcommunication on consumer purchasing behavior. In this regard, the role of mediator of emotions, social norms and attitudes has been studied.This is an applied and descriptive research in terms of goal and nature respectively.The method is survey in terms of collecting information. The statistical population of the study consisted of customers of automobile departments in Isfahan city. Using Cochran's relationship,384 questionnaires were distributed randomly among them. Reliability of the research tool and composite reliability for all variables were confirmed by Cronbach's alpha.Content validity and structure of the data collection tool were also confirmed.The findings, using structural equation modeling and PLS software,showed that the oral communication variable in the context of social networking among the car agency customers has a significant effect on their intention to purchase them. Also, oral communication has a significant positive, direct effect on emotional variables, shopping attitude and social norms, respectively with a significant amount of20/19,20/32and139/13.Also, the results of the research hypothesis test indicate that the variables of social norms and shopping attitudes have a significant effect on customer intent, but the emotional variables have no significant effect on the intention to buy car customers.

The outbreak of coronavirus disease 2019 (COVID-19) has become one of the important global challenges. According to World Health Organization (WHO), a long-term challenge is ahead. This study endeavored to investigate the performance of distinguished countries in the management of Covid-19 in two areas of disease control and treatment.

This was a descriptive study using WHO and World Bank databases carried out in the distinguished countries (including Iran) for three months from April 1 to June 30, 2020. After determining the input and output variables, the two-stage data envelopment analysis model was selected to calculate the proficiency of the countries. Besides, they were classified into four groups based on their performance in outbreak control and medical treatment.

During the study period, China and Iceland had the most performance, while Indonesia had the least in both aspects. Besides, the results of using area chart showed that China, Iceland, and Luxembourg were the only countries in the first area in each of the three consecutive months, which represented the highest level of performance.

By identifying the efficiency trend of the selected countries, actions and executive policies of the proficient countries can be good benchmarks for other countries to promote their performance.

Succession is a way to ensure that there are people who can qualify for various organizational and managerial jobs and positions in the future. But successful planning and implementation of the succession system requires effort and equipping the organization with intelligent talent management strategies. The purpose of this study was to prioritize the factors affecting the successful implementation of the succession system in the Yazd broadcasting. To do this, the research literature was reviewed and Delphi technique was used after identifying the factors, then fuzzy TOPSIS method was used to prioritize the finalized factors. The results show that among the finalized factors, evaluation of capabilities, skills and competencies, and then, commitment to implement the succession program and implementation of a comprehensive system of performance evaluation were ranked respectively. Thus, according to the identified priority of 25 factors, policy makers and those in charge are suggested to formulate convenient and successful strategies.

It has been shown that the mental wellbeing of nurses could positively influence their work engagement and quality of care. Therefore, the present study want to examine the effect of managers’ computational behaviors, as an example of social support, on the nurses’ work engagement and psychological distress.

This study is a descriptive-correlational survey was conducted in 2017 based on the structural modeling. The study population was 72 nurses of intensive care unit in Afshar Hospital of Yazd, Iran. The data were collected using four standard questionnaires and analyzed using both descriptive and inferential statistics by SPSS16 and LISREL8.8.

The results showed that positive communicational behaviors of the supervisors and managers could significantly enhance the nurses' work engagement (P<0.05). Moreover, we found that the psychological distress of the nurses significantly decreased by positive communicational behaviors of their supervisors (P<0.05).

According to the results, the positive behaviors of the supervisors plays critical role in the mental wellbeing of nurses and could remarkably affect their work engagement and quality. Therefore, special attentions should be paid to the communicational behaviors of managers at work place.

Nowadays, the wide changes in various dimensions put managers in serious challenges. This issues cause the current plans will no longer be able to response, therefore it is necessary to use new approaches such as foresighting. Meanwhile, one of the main concerns of managers is the effect of their decisions on the key variables. This study using a foresight and systematic approaches and design the dynamic sustainable development model to seeks an answer to this important management issue. First we presented a framework for sustainable development and then, using the “Mic Mac” method identified the key drivers of sustainable development. In the next step, by designing a scenario portfolio, future possible scenarios for sustainable development were determined. Finally, by designing a regional sustainable development model, it is possible to simulate scenarios and decisions, and determine the appropriate scenarios from the possible multi-dimensional scenarios

Today, e-banking has opened up a new field in terms of speed, efficiency, cost savings and the use of fleeting opportunities. Obviously, the application of e-banking in the banking industry is useful when the investments made by banks in this field increase and improve their profitability and improve customer satisfaction.This research designed to investigate the relationship between e-banking and customers satisfaction Sirjan Township Melli Banks branches.This inquiry is an applied-base objective and  a correlative-base nature/ methodology. The  population comprises all the employees of the  above enterprse  The number of them addes up to 32178 individuals in 2017.The sample includes 380 subjects based upon Krejcie & Morgan Table (1970) which appointed in proportionate stratified random sampling.The data gathering tools have been 2 standard questionnaires.The findings show that the e-banking (also its components) are  positively and significantly related to customers satisfaction. Mean while ،in order to improve the e-banking and promoting customers satisfaction ،some constructive recommendations offered to the relevant authorities.

One of the most common techniques in television advertising is using celebrities who endorse a product. The aim of this study is to investigate the effect of using celebrities as endorsers on purchase attitude with regard to the mediating role of attitude to brand and advertising. This research is an applied one in goal and a descriptive one in nature. The statistical population of this study consisted of those people of Yazd city who were exposed to television broadcasting. A sample of 420 people was selected from this community using Cochran relationship and available sampling method. Questionnaire was used for data collection and its validity and reliability were confirmed. Structural equation modeling and SPSS and PLS software were used for data analysis. The findings of the study show that celebrity endorsement features have a positive and significant impact on attitude toward advertising. Also, attitude towards advertising has a significant effect on attitude to brand. Advertising attitudes also play a mediating role in the relationship between endorsement and brand attitudes. In fact, the principled and scientific use of celebrity endorsers in advertisement can influence the attitude of audience.

By entering the green supply chain into decision-making processes, green purchasing and the use of environmentally friendly methods lead to the production of green products and also provide a competitive advantage to the organization, and enhance the credibility and face of the organization in the market and among customers. . On the other hand, improving environmental performance can be profitable, and with the development of green policies, many benefits can be gained. In this research, by first reviewing the theoretical issues, the main factors in the environmental performance of the green supply chain are identified and then, using interpretive structural modeling, the relationships between the factors have been analyzed. The results of this study indicate that these factors can be classified into 7 levels based on the interpretive structural model. The factor that makes use of new and environmentally friendly technologies (to prevent the introduction of pollutants into the environment and to optimize the consumption of energy and energy) has been recognized as the most influential factor that can be the basis of many other factors. Also, in terms of penetration power and dependence, factors that are more important and at lower levels are often located in an independent region with high penetration and low degree of dependency.

In the new century, the main challenge of mankind is to find a sustainable way of producing, consuming and living. The green supply chain has been introduced as a preventive approach and a solution to improve the environmental performance of the processes and products of the organizations, as well as environmental protection, increasing productivity. The purpose of this study is to investigate and improve some of the unfavorable behaviors in the green supply chain using the system dynamics approach. In this research, by reviewing theoretical literature and a survey of experts which consisted of 15 managers and experts of the polymer industry of Fars province, the factors affecting the greening of supply chain management identified, that include: indoor environment management, green purchases, green design, green production, reprocessing, and pollution. Then identified factors were measured. After that simulation started by providing dynamic hypotheses and causal circles, stream diagrams, and mathematical equations were completed. For this purpose, the Vensim software dynamics model provides a way to find out the relationship between factors affecting the greening of supply chain management. Finally, policies have been introduced: reducing lost sales, reducing inventory levels, receiving correct information that their implementation has improved benchmarks.

During recent decades، Energy as one of the most important factors of production and also as one of the most important end products، a special place in the country''s economic development and growth development. Hence، the country authorities should try to predict anything more precise energy consumption in the proper planning and guidance consumption، to control the way they desired energy demand and supply parameters. The purpose of this paper is Evaluation Hybrid model of artificial neural networks and genetic algorithms in the forecast consumption energy of Iran. Therefore in this study، data from the annual energy consumption as the output forecasting model range and was used as input variables، data of the annual total population، GDP، imports and exports. The end results were assessed with of different models (RSE)، (ME) and (RMSE). Evaluation results showed that the hybrid model of neural networks and genetic algorithm (ANN-GA)، compared to other models with the highest accuracy in predicting consumption energy of Iran.

It is usual to rank the participating countries in Olympic Games in accordance with the number of medals they have won. But it should be mentioned that achieving competition output (medals acquired) is possible only through utilization of input and appropriate processes. So, lower input should be considered along with higher outputs to evaluate more precisely and regularly. In this study, one of non-parametric techniques, namely data envelopment analysis (DEA) method, was used to design a model to evaluate the performance of participating countries in Olympic Games and to eliminate this problem. The model considered two inputs (GDP per capita and population) and three outputs (number of gold, silver and bronze medals acquired) to evaluate the performance of the participating countries. The data used to test the model related to the performance of countries in Athens Olympics (2004). The results of implementing this model showed that out of 73 countries participating in Athens Olympic Games which had achieved at least one medal, nine countries achieved maximum efficiency using this model.

Health services currently support physical and mental health of individuals and are a prerequisite for sustainable development in every community. However, such benefits cannot be gained unless balanced distribution of health and treatment facilities and equipments among various geographical regions is ensured. This study assessed the status of development and rankings of Iranian provinces in terms of access to indices of health sector. This applied, descriptive, cross-sectional study surveyed all Iranian provinces (n = 30) in 2008. In order to collect data, online and printed literate was reviewed and the reports of the Ministry of Health and Medical Education and the Iranian Statistics Center were used as references. The taxonomy technique was employed to determine the degree of development of different provinces. In addition, indices were weighted by Shannon's entropy. Finally, technique for order preference by similarity to ideal solution (TOPSIS) was used to rank the provinces of the country in terms of access to health sector indicators. Taxonomy technique showed 12, 9, and 9 provinces to be developed, semi-developed, and underdeveloped, respectively. Shannon's entropy introduced the ratio of the number of pharmacists to the population as the most important indicator. According to TOPSIS, the provinces of Semnan and Sistan-and-Baluchestan ranked the first and last (30th) in access to health services. In order to reduce imbalance, health policy makers and officials are recommended to consider the developmental rankings of the provinces while allocating resources.