صدیقه طوطیان

The purpose of the current research is to identify and validate the predictive factors of digital human resource management in Iran's knowledge-based companies. The present research is applied in terms of the philosophical assumptions of the interpretive model and in terms of audience studies. The research sample in the qualitative phase of the academic field experts include university professors, members of the scientific team and managers of knowledge-based companies, and a total of 15 experts were interviewed to collect qualitative data. The qualitative research approach and strategy used is theme analysis using MAXQDA software. The research results showed 34 primary themes (indicators), 14 sub-themes (dimensions) and 7 main themes as predictors (digital competence, digital culture, digital capabilities, digital human resources, digital innovation, digital workforce, gamification) for this The meaning was identified. In this research, indicators and effective factors on digital human resources management based on the natural conditions of Iranian society and especially knowledge-based companies were calculated. Also, the present research helps to enrich the theoretical foundations of digital human resource management.

This study aims to present a model for accountability in the Iranian gas distribution industry. The fuzzy Delphi method and a survey were used to collect data. First, library resources and interviews were used to collect data and information, and then a suitable questionnaire was used to collect the required variables for each section. The agreement of 15 experts in the field of gas distribution and measurement of Kendall's coefficient of concordance was confirmed and analyzed in the Iranian gas distribution industry. The dimensions of accountability to stakeholders were identified as political, administrative, public, judicial and market. The most important accountability variables were participation, trust in the network and legal duties. The proposed model includes the main elements of roles and responsibilities, decision-making processes, performance measurement and feedback, and learning

Human migration includes the movement of people from one place to another with the intention of permanent or temporary settlement in a new place (geographical area). Migration often occurs over long distances from one country to another, but internal migration (within a single country) is also possible. Therefore, the purpose of this research was to identify the factors affecting the economic consequences of illegal immigrants to Iran.

In terms of its purpose, this research is applied research and is in the category of descriptive research. The research community includes all economic experts who have knowledge and experience related to research and have at least 5 years of work experience. A 33-question questionnaire was used to measure the current situation. In this research, the first step was by reviewing the research literature and with the help of the conducted research, indicators were extracted, in the next step, the opinion of 10 experts regarding the components of the factors affecting the economic consequences of illegal immigrants to Iran was obtained through interviews and Then, by combining the indicators extracted from the theoretical foundations and experts' opinion, the initial questionnaire was designed. And then Friedman's test was used to prioritize the variables based on the greatest impact on the dependent variable and also to compare the ranking averages .

The results of the analysis using the Delphi method, 29 factors out of 33 factors were selected as effective indicators and finally using According to Friedman's test, the factors of professional specialization, housing, social consequences, unemployment and employment and job opportunity have the highest rank.

Based on macroeconomic indicators, a significant portion of the world's gross domestic product comes from the services sector. The $2.7 trillion share of services in large economies and its increasing growth since 2011, according to UN accounts, highlight the undeniable importance of the services sector. In line with this perspective, previous researchers have shown that lean-based approaches can facilitate the efficient and development-oriented growth of the services sector. Producers' move towards lean-based strategies in services has been reported to exceed 30%, a significant factor in maintaining competitiveness and gaining a competitive advantage in the service industry. The concept of lean first emerged in the industry with a focus on eliminating waste from production and refining it. However, this concept has entered the theoretical literature of organizations on the one hand, and on the other hand, it has appeared in the public domain, such as public administration and governance. Therefore, concepts such as lean government and lean services are outcomes of this concept. The present study aims to identify and validate a predictive model of lean services in the context of lean government in the banking industry.

In terms of paradigm, this research is interpretive during the model discovery phase and confirmatory during the model testing phase, and it is generally pragmatic. The research sample for the qualitative phase consists of experts in the academic field, including university professors, faculty members, and banking industry managers. A total of 15 experts were interviewed to collect qualitative data. The research questionnaire was developed based on exploratory factor analysis to collect quantitative data. In the quantitative section, using G*Power sample size determination software with an alpha level of 0.01 and a power test of 85%, 190 individuals were selected as the final sample for the research. The research approach is mixed, and the strategy employed is thematic analysis. Clark's method (2006) was used to analyze the data with MAXQDA software. The path analysis of the discovered model was also examined using variance-based structural equation modeling algorithms with SPSS version 24 and SmartPLS version 3. 

The results of the data analysis show that 32 indicators and 7 variables in the context of 6 theories were identified and validated as predictors of lean services for the realization of lean government in the Iranian banking industry. Therefore, factors such as lean improvement strategy, lean cultural transformation, development of lean capabilities, lean management methods, lean work methods, and lean contextual factors can facilitate the realization of lean services.

The banking industry is one of the driving forces of the economy and the engine of every society. Therefore, paying attention to the banking sector and its growth and development is an inevitable necessity. In particular, in the field of banking services, this is important due to the nature of financial and monetary services. Economic liberalization, globalization, and increasing competitiveness in financial services have forced banks to enhance and expand their services to maintain a competitive position. In the present study, the predictive theories of lean services with a lean government approach in the Iranian banking industry were identified through exploratory research, based on the natural conditions of Iranian society. Also, a conceptual model of predictors and a model for the application of lean services to the Iranian banking industry were introduced.

The average size of the global online market for supermarket goods is about 9 times larger than Iran. Therefore, with the aim of finding effective factors and providing implementation solutions to the country's online supermarkets, this research has investigated the impact of decision-making structure & characteristics of supermarket goods on the change of consumer purchasing behavior from offline to online with the mediating roles of technology & e-commerce acceptance & consumer innovativeness. The objective of this research is practical, and the method used is descriptive-survey and to test the hypotheses, a researcher-made questionnaire was used. The statistical population consists of all online buyers of supermarket goods, 384 people were randomly selected for the sample by the simple random method using Morgan's table. Construct validity and questionnaire structure were confirmed by confirmatory factor analysis, reliability with Cronbach's alpha coefficient, and composite reliability in SmartPLS and SPSS software. In data analysis, the Kolmogorov-Smirnov test for normality of variables, the Friedman test for prioritizing variables and indicators, and the Structural Equation Modeling (SEM) were utilized to test research hypotheses. The findings indicated that the decision-making structure & characteristics of supermarket goods have a positive and significant impact on the mediating variables of technology & e-commerce acceptance & consumer innovativeness, and ultimately lead to a change in consumer buying behavior from offline to online. As a result, to expand the online market for supermarket products in Iran, major players in this industry such as Digikala, Snapp, and Okala, In addition to understanding consumer decision-making models, particularly when purchasing supermarket goods, they should consider the effective role of technology & e-commerce acceptance & consumer innovativeness in their marketing and advertising strategies to encourage customers to make online shopping.

The purpose of the research is to identify the consequences of the implementation of the law on the privatization of sports facilities and spaces. This research has been carried out in a quantitative and descriptive-survey method. The method of collecting information is through documentary studies and a researcher-made questionnaire. The statistical population was made up of all the managers and experts in the general administrations of sports and youth, coaches and athletes of the northern provinces of the country, which amounted to 635 people. The statistical sample was determined according to Cochran's formula of 200 people and was randomly selected and asked for opinions. Data analysis was done using SPSS and Lisrel􀀃software. The findings of the research showed that all the effective factors including improving the process of handing over sports facilities and spaces, intensifying the supervision of the privatization process, establishing a transparent and impartial information system, the correct transfer of ownership and management to the private sector, and empowering the private sector are among the effective factors in the implementation of privatization. The consequences of the influencing factors on the law of privatization of sports places and spaces lead to change and evolution in the implementation methods according to the characteristics of the less developed areas of the northern provinces of the country.

The aim of the research: 

The aim of the research: is to identify factors affecting sustainable sales with an emphasis on artificial intelligence in internet businesses.

In terms of the amount and degree of control, it is of the type of field research and in terms of the way of collecting information, it is of the type of descriptive and non-experimental research. In this research, 12 business managers and organizational behavior specialists who had more than 10 years of experience were gradually selected. In the quantitative part of the research, 306 cases of internet and digital businesses were selected as samples .

The findings of the research showed that in the process of open coding, a primary code was formed from a total of 12 conducted interviews. Then a primary classification of the data was done and the concepts resulting from open coding were placed in 6 categories. These categories include the creation of new opportunities and situations through artificial intelligence in internet businesses, environmental factors and challenges, advertising and space creation through artificial intelligence, marketing and sales risks, Data collection and privacy protection challenges and investment in artificial intelligence. The results of the hypothesis test in the quantitative section also showed that the introduction of new opportunities and situations through artificial intelligence in digital marketing does not have a significant effect on sustainable sales in internet businesses. Environmental factors and challenges resulting from artificial intelligence do not have a significant impact on sustainable sales in internet businesses. Advertising and space creation through artificial intelligence has a significant and negative effect on sustainable sales in internet businesses. Marketing and sales risks resulting from artificial intelligence have a significant impact on sustainable sales in internet businesses. Collecting data and preserving privacy through artificial intelligence has a significant and positive effect on sustainable sales in internet businesses.

The present research conducted with the aim of studying indicators of organizational intelligence with the focus on sustainable development and developing the relevant model in Bank Mellat. This was interpretative-inductive research using a mixed exploratory method. In the qualitative part, the interview tool and thematic analysis method were used, and in the quantitative part, the questionnaire and confirmatory factor analysis method were used. The statistical population of the research in the qualitative part was university experts and in the field of smart banking, and in the quantitative part the employees of Mellat Bank. For data analysis, interview technique and thematic analysis method were used in the qualitative part, and statistical tests and measurement model were used in the quantitative part. The software used were SPSS-18 and Smart-Pls 2. The findings indicate that organizational intelligence includes four indicators of strategic reforms, scientific capability, intelligent service and digital transformations. Also, sustainable development includes three components of financial sustainability, social sustainability and environmental sustainability. The results of predictive correlation index and model fit showed that organizational intelligence has a positive and favorable effect on sustainable development. Bank Mellat has been able to take important and effective steps in the field of intelligentization based on sustainable development. This shows the high power of this organization in making smart and achieving the pillars of sustainable development.

Human resources resilience refers to employees' ability to sustain their performance under unfavorable working conditions. Prolonged exposure to such conditions often results in job burnout and employee turnover, making resilience a critical focus for researchers. This study aims to develop a model for human resources resilience based on an organizational culture approach within the Tax Administration. Data analysis employed content analysis for the qualitative phase and structural equation modeling (SEM) for the quantitative phase. The qualitative phase's statistical population consisted of 16 experts and human resource managers from the Iran Tax Affairs Organization. Data collection involved semi-structured interviews for the qualitative phase and researcher-designed questionnaires for the quantitative phase. The validity (content and construct) and reliability of the questionnaire were assessed and confirmed using Cronbach's alpha. The human resources resilience model was derived from seven overarching themes and 20 organizing themes, including: organizational citizenship culture, emotional culture, knowledge-centric culture, culture of job engagement, spirituality culture, human resources excellence culture, and supportive culture. Effective implementation of the identified measures enhances human resources resilience and prevents the loss of competent and efficient personnel.

The aim of this study was to evaluate the effect of transformational leadership on job performance, burnout and employees loafing behavior with mediating role of intrinsic motivation. This study was a descriptivecorrelation based on gathering information and an applied research based on its porpuse. The statistical population of research consists of all managers and employees of Iran Khodro Co. in Tehran in a number of 337 employees. Referring to Cochran sampling formula a number of 180 individuals were selected in a random way and validated questionnaires of study distributed among them. To measure the variables we used the questionnaires which those validity assessed by experts and its reliability evaluated by Cronbach’s alpha coefficient. Data of research was analyzed by structural equation models. Findings showed that transformational leadership had a direct effect on employees’ intrinsic motivation and job performance and had a significant and inverse effect on employees’ loafing behavior, while its effect on burnout was not significant. The results also showed that employees’ intrinsic motivation had a significant inverse effect on burnout and loafing behavior, while its effect on employees’ job performance was not significant. Also, the results of the test of the mediating effect of intrinsic motivation in the relationship between variables showed that transformational leadership through intrinsic motivation of employees has an effect on burnout and loafing behavior of employees.

The current research was conducted with the aim of presenting a model of the use of blockchain technology in the financial field. The sample size in the Delphi section was 15 people from financial management and information technology specialists and in the quantitative section, all people active in the country's stock exchange company, 384 people were randomly selected. The research method is based on the applied goal, in terms of method, it is exploratory and based on the collection of quantitative data. The main tool of data collection was a questionnaire based on theoretical foundations and conducting three rounds of the Delphi method, the validity of which was based on the technique of long-term engagement with long-term contact with the participants and was done by applying changes they wanted in different stages. In the quantitative part, content and structural methods were used to check validity. In addition, the reliability of the tool was used in the qualitative part using the Kappa index and in the quantitative part using Konbach's alpha. The obtained data were analyzed using confirmatory factor analysis and structural equation modeling with Smart PLS version 3 software. The results showed that three organizational, environmental and technical factors can justify the use of blockchain technology in the financial field.

The volume of online shopping compared to offline shopping and the speed of change in consumer behavior from online to offline in Iran is much lower than the world average. Therefore, this research aims to design and validation of the change in the end-user's behavior model from offline to online in the FMCGs group. A mix of qualitative (grounded Theory) and quantitative (structural equation modeling) methods are used to identify components, indicators, and the relationship between them. In the qualitative section, 10 experts were selected by snowball sampling and in the quantitative section by Cochran's formula, 384 people were determined by simple random sampling. Semi-structured interviews were used to collect qualitative data, whereas questionnaires were used to collect quantitative data. Content validity and face validity were confirmed by the Delphi technique, construct validity and questionnaire structure by confirmatory factor analysis, reliability by Cronbach's alpha coefficient, and composite reliability in SmartPLS and SPSS software. MAXQDA software was used to analyze qualitative data. Kolmogorov-Smirnov test for normality, the Friedman test for prioritizing components and indicators, and the structural equation modeling test for path analysis and model validation were used to analyze quantitative data. In the qualitative results, 8 components and 60 indicators were confirmed. Ranking of components based on quantitative results includes consumer decision-making structure, the consequences of consumer behavior in online platforms, FMCGs competitive advantage, consumer behavior models, marketing and advertising communication channels, consumer innovation technology, and e-commerce acceptance and marketing strategies.

The continued service of knowledgeable and skilled employees in many industries and companies brings many achievements. In this regard, the current research was conducted with the aim of presenting and validating the model of the consequences of the continuation of service of retirees with the approach of knowledge management.

From the point of view of the purpose of the present study, it is an applied-developmental research that has been carried out with a mixed method. Also, in terms of the method and time frame of data collection, it is a cross-sectional survey research. The statistical population of the qualitative section includes 16 experimental and theoretical experts in the field of study. In the quantitative section, the views of 86 managers of Iran's National Oil Company were used. The data collection tools are semi-structured interviews and researcher-made questionnaires.

By conducting a qualitative analysis of the content of the interviews in MAXQDA20 software, 117 codes were identified, and with axial coding, the dimensions of the model of the consequences of the continuation of service for retirees were formed with a knowledge management approach, and in the second phase, by using the structural-interpretive modeling method, the relevant model was presented. became.

The results showed that the variables "management and guidance", "systematization and comprehensiveness" and "future-viewing" have the greatest effect on the consequences of the continuation of service of retired academic staff. These elements affect the indicators of "developmentalism and innovation". Developmentalism and new thinking also affect "legalism and moralism" and "knowledge-based meritocracy". In the same way, these factors affect "accountability and transparency" and "health and freedom from corruption and discrimination". Finally, the increase of "effectiveness, result-oriented and quality-oriented" leads to "efficiency and productivity".

The health system, as one of the vital systems, is responsible for the health of the society, and policy-making with the aim of improving people's health and improving the performance of the health system is one of the governance duties of this system. The purpose of this research is to outline the policy of the health system based on the statement of the second step of the revolution with an interpretive structural modeling approach.Research

The current research is qualitative and practical in terms of purpose. The research community consisted of 11 health experts who were selected purposefully and the data collection tools were interviews and questionnaires. First, by conducting interviews with health experts, the components were extracted, and in the second step, the relationships between these components were determined by the interpretive structural modeling method.

The number of 19 main components was identified and these components were classified into three levels and finally the research interaction network model was drawn, which includes the components of management issues, human resources, processes and methods, macro policies, the role of stewardship, the role of stewardship, and the role of support. , exclusive, economic, social, technological and political services at the third level, components of priority of prevention over treatment, proper management of health resources, enrichment of health culture, promotion of human capital and improvement of methods and processes at the second level and components of promotion and improvement The health of society and the economic efficiency of the health system were at the first level. 

The implementation of research strategies improves and improves the health level of the society and the economic efficiency of the health system, and it seeks to reduce the problems of the health system, economic benefits and social welfare.

Health system policy is one of the most important issues for policy makers and managers in the health system. This study aims to present a health system policy model based on the statement of “the second phase of the revolution” and using the economic resistance approach.

This is a qualitative study using grounded theory. Participants were selected by purposive and snowball sampling techniques. The data was collected by conducting in-depth and semi-structured interviews with 11 faculty members, deputies, and managers of Arak University of Medical Sciences and Qom University of Medical Sciences in Iran. The concepts for the paradigmatic model were extracted after open, axial, and selective coding. Then, the structural equation modeling was conducted using non-parametric partial least squares method.

Initially, 408 codes were obtained, which were reduced to 260 after screening using the content validity index. In this regard, 40 sub-themes and 13 main themes were extracted which included: Causal factors (management issues, human resources management, processes/methods), strategies (priority of prevention over treatment, health resource management, cultural enrichment, promotion of human capital in healthcare, and improvement of methods), intervening factors (economic, social, technological, and political), contextual factors, governance factors, and consequences (promoting the society health, improving economic efficiency of medical universities).

The health system policy model based on the economic resistance approach can help promote the society health and improve the economic efficiency of medical universities in Iran.

The present study investigates the impact of green supply chain management on export performance through the mediating role of environmental performance.

Sampling method the present study is simple random sampling.  The research data was collected by library and field methods and the instrument used was a questionnaire.  The reliability of the questionnaires was confirmed by Cronbach's alpha method of 0.899 and its validity was confirmed by content and structure methods and was analyzed using statistical, descriptive and inferential tests.

The results of this study indicate that green supply chain management has a positive effect on export performance.  The results also showed that environmental performance has a significant effect on export performance.

The results obtained for this study, according to the results of testing the research hypotheses, indicate the basic points that managers can use environmental performance to provide the basis for achieving the desired export performance.

The aim of this study was to determine the effect of preparation measures on perceived employability with the mediating role of job identity in Keshavarzi Bank, West Tehran Branches.

In terms of applied purpose, this research was conducted by descriptive-survey method of correlation type. The statistical population of this study was all employees of west branches of Tehran, which was 150 people, the statistical sample size was determined using simple random sampling of 132 people. The main data collection tools were the Job Identity Questionnaire (Franco and Tavares, 2013) with 9 questions and the Job Preparation Questionnaire (Stump and Hartman, 1983) with 24 questions. Its form, content and reliability were calculated using Cronbach's alpha and reported for the variables of job identity (0.951), job planning (0.919), perceived employability (0.956) and job exploration (0.925). The obtained data were analyzed using structural equation modeling and Smart PLS software version number two.

The results showed that job preparation measures (job planning and job exploration) have a significant effect on perceived employability with the mediating role of job identity.

By providing the necessary conditions for job identification along with the necessary measures for job preparation (job planning and job exploration), it took action on the employability of employees.

Cultural literacy is one of the important topics to consider today. Therefore, the current research is designed with the aim of providing a model for promoting cultural literacy in the education of Iran.

This research is practical, and exploratory mixed in terms of purpose and data; it is also cross-sectional and foundational data in terms of implementation. The statistical population consisted of experts and key informants in the field of the research in the qualitative phase, which was sampled based on a conscious approach and with a purposeful and snowball method. The population in the quantitative phase consisted of all education managers and experts. Based on Krejcie and Morgan's table, 384 people were determined by the stratified random method as the research sample. Then a questionnaire was distributed among them. In order to collect data in the qualitative stage, the library method (documentation) and the field method (Delphi interview) were used, and in the quantitative stage, the field method (questionnaire) was used. In the qualitative phase, the techniques of theoretical saturation, coding procedures and the analysis of symbols and signs were used to determine the validity of the tool. In the quantitative stage, content validity and Cronbach's alpha were used to measure validity and reliability.  The theoretical coding method (taken from the Grounded Theory) and exploratory and confirmatory factor analysis were used for analysis in the qualitative and quantitative parts.

The qualitative results led to a model of promoting cultural literacy in education with 6 dimensions, 29 components, and 134 indicators, which were confirmed in the quantitative stage of 6 dimensions, 29 components, and 131 indicators; including contextual factors (fundamental and transformative documents and programs, family, macro-cultural policies, approved curricula, and macro-education management); Causal factors (technology, laws and regulations, media and educational facilities and equipment); Intervening factors (economic factors, individual and interpersonal skills, social factors and cultural invasion); Strategies (celebrities, national literature, national and world history, architecture, music, religion, ethnic groups and customs, world literature, sports-games-entertainment, arts and crafts, kings and dynasties, drama) and consequences (increasing efficiency and effectiveness of education, increasing national pride and increasing cultural awareness) and 131 indicators.Based on the results obtained, the five categories of "Macro-cultural policies", "Transformation and fundamental documents and programs", "Approved curriculums", "Macro-education management" and "Family" were obtained as the contextual conditions for the realization of cultural literacy.

Based on the results, the five categories of "macro-cultural policies", "documents and programs of transformation and fundamental", "approved curricula", "macro-management of education" and "family" to The title of the preconditions for the realization of cultural literacy has been obtained

Given the importance of customer loyalty in the manufacturing and service sectors and the role of these variables influencing and being influenced by other organizational variables, This paper investigates the impact of organizational reputation and service quality on customer loyalty were discussed. To this end all customers carmaker Iran Khodro in Tehran as population and 385 subjects were selected by using simple random sampling. Also, Data collection instrument was a questionnaire to arrange the questionnaires Caruana and Irving (2010) for customer loyalty, Yang for corporate reputation and Duarte et al (2016) were used for quality of service. In this way, and the effect of corporate reputation on customer loyalty and the impact of service quality on customer loyalty were measured. While research data to measure and Lisrel Spss software was used. The results obtained in this study indicate both corporate reputation and quality of service has a significant positive effect on customer loyalty. This applies to every single indicator is intended for corporate reputation and quality of service was approved.

Today, information technology, which is referred to as new technologies, has provided new opportunities in the labor market by creating dramatic changes. The research method is mixed (qualitative, quantitative). In the first stage, purposeful sampling based on the theoretical saturation of 15 people, in the second part, women entrepreneurs in small business in Tehran were considered by simple random sampling method of 92 people based on Cochran's formula. Data were analyzed by Spss and Smart Pls software. In order to measure the variables, a questionnaire extracted from the Delphi stage was used. In the communication technology model, a questionnaire with 3 dimensions (perceived usefulness, ease of use and use to support direct sales) and 13 items was used to measure the empowerment variable of women entrepreneurs. In business, a questionnaire with 4 dimensions (competence, perceived control, goal internalization and impact) and 11 items were used. The testing of hypotheses in the quantitative part also showed that perceived usefulness, ease of use and use to support direct sales have an impact on the empowerment of women entrepreneurs in business.

Performance-based (operational) budgeting system as a management system to improve the efficiency and effectiveness of organizational resource consumption has been seriously considered by governments at the national and local levels. In this system, budget credits are allocated based on the performance of organizational units in order to produce outputs (products and services) or the same short-term goals or achieve the same results or long-term goals, and thus the organization to increase transparency in how to use Resources are directed to perform activities, generate outputs, and achieve goals and strategies, as well as greater accountability. The method of the present study is a bit of meta-analysis. The statistical population of the study includes 71 in-country articles, of which 20 articles were entered into the meta-analysis process using purposive non-random sampling method. Reliability of identification was obtained through the agreement of the judges in selecting the articles and their classification, reliability of identification was obtained through the agreement of the judges on the use of specific concepts to identify variables and reliability of the level of significance and effect size was obtained through agreement in calculating the size of the effect. Findings showed that technical and process, environmental and human variables were the most important factors in the lack of operational budgeting in government agencies. Among the 3 variables and 41 effect sizes (effect sizes were between 0.1-3.1, 0.5-0.3 and above 0.5 and were assumed to be low, medium and high, respectively), the share of technical factors And a process with an average effect size of 0.58 is more prominent for establishing operational budgeting. Environmental factors with an average effect size of 0.53, human factors with an average effect size of 0.51 are the second and third priority, respectively.

This research investigates the antecedents (brand congruence, brand prestige and brand distinctiveness) and consequences (positive word of mouth and brand commitment) of consumer- brand identification and relationship between brand attractiveness and consumer- brand identification. This is a descriptive-survey study, and target population for this research are all customers of Samsung, LG and Bosch home appliances in Tehran. In order to measure the variables of the model questionnaire designed 26 besides the members of the sample (392 people from brand customers home appliances Samsung, LG and Bosch) have been distributed.in this study for analyzing of data, Lisrel software and SPSS was have been used. The results confirm the influence of all of the three drivers, namely, brand congruence, brand prestige and brand distinctiveness on brand attractiveness. As well as brand attractiveness impact on consumer-brand identification and consumer-brand identification impact on brand commitment and positive word of mouth. The results also show that brand congruence to be a positive influence on consumer- brand identification with mediating role of brand attractiveness.

The main purpose of this study is to investigate the relationship between executive financial expertise and financial policy (Including profit payments policy, financial leverage and cash flow) in listed companies in Tehran Stock Exchange Organization. The purpose of this research is in terms of correlation method and the post-event type method. Statistical sample of the study consists of 110 companies listed in Tehran Stock Exchange Organization during 2009 to 2018. This research has been used to test the hypotheses proposed by the hybrid data method and the least-squares approach. The results show that there is an inverse and significant relationship between CEO financial expertise and Profit Payment Policy. In other words, the sharing of profits in the companies whose CEO benefits from financial expertise is less. Otherwise, results of this investigation show that the relation between CEO financial expertise and cash holding is direct and significant. In this sense, managers with financial expertise hold more cash. Other findings show that there is an inverse relationship between CEO financial expertise and financial leverage but it is not significant. The result indicates that financial leverage has no significant differences with managers of global financial experts and other companies.