فهرست مطالب mohammad reza fathi

In today's world, one of the important and fundamental requirements of urban management and achieving sustainable urban development is integrated urban management and sustainable sources of income, so the present research was conducted with the aim of identifying and ranking the strategies for achieving sustainable urban income in Fouladshahr Municipality. In terms of method, the research is mixed, which is a combination of qualitative and quantitative methods. In the first stage, the qualitative method and thematic analysis type using interviews with experts was used, and in the second stage, in order to rank the components identified in the qualitative stage, the quantitative method of SwaraFuzzy method was used. Using the purposeful sampling method, 15 experts in the academic field and specialists in the field of urban management in Fouladshahr were determined. And interviews were conducted openly with experts. The results showed that the components of sustainable urban incomes include 12 general themes of information technology, research, recycling, advertising, legal assets, revenues from tolls, service prices and revenues of municipal for-profit institutions, revenues from municipal funds and properties, government grants and Government organizations, financial relations of the municipality with citizens, investment of the municipality in creating sources of sustainable income. It was determined by using the fuzzy swara technique that the income from the tolls obtained the highest rank. And the research factor got the lowest rank.

The insurance market is one of the most important financial markets. Insurance companies play a significant role in the growth and development of any country by accepting various risks and strengthening financial resources for investment in the capital market. According to the nature of their activity, insurance companies will fail in fulfilling their future obligations if they are not capable enough. Emphasizing the financial ratios of insurance companies as a clear indicator of the performance of insurance companies has caused the investigation of the relationship between financial ratios and the ratio of financial wealth of insurance companies with an emphasis on car tire insurance to be the main goal of this research. In this research, four categories of financial ratios under the title of leverage ratios and capital adequacy, profitability ratios, liquidity ratios and operating ratios are considered as independent variables for 21 insurance companies in the period of 2010-2012 and the relationship of these financial ratios with the financial strength ratio of the companies Insurance has been reviewed during this time period. Based on the results of this research, profitability ratios and liquidity ratios have a high correlation with financial prosperity ratio, and the ratios of loss ratio, profitability of insurance operations, net profit to equity from the set of profitability ratios and current ratio from the set of liquidity ratios are the most effective financial ratios in the evaluation of prosperity. are financial The desirability of financial ratios indicates the financial health of insurance companies and that insurance companies will be able to fulfill their obligations, and financial ratios can be introduced as an effective component to evaluate the health and financial strength of insurance companies and get help from them to check their financial strength.

In today's world, communication with the customer and customer satisfaction is the top priority of all organizations. In particular, marketers in the service sector have highlighted the potential value associated with developing relationships between service providers and the customer. Today, companies want not only to attract customers, but also to maintain them for a lifetime. Banks are no exception to this rule. With the many efforts that banks make to provide quality services, providing services that are free of defects is unrealistic. On the other hand, customer dissatisfaction may be due to shortcomings in the services provided. Therefore, in this study, we examine the role of recovery due to service failure on the perception of justice and attitudinal loyalty and behavioral loyalty. The present research is applied and descriptive-survey. The statistical population is all citizens referring to the central branch of three state-owned banks (Melli, keshavarzi, Sepah); There are three semi-governmental banks (Trade, Welfare, Nation) and three private banks (Eghtesad-e-Novin, Pasargad, Ayandeh) in Khuzestan province, Shahrdaz-e-Fool, where 384 people were selected as a statistical sample. A questionnaire was used to collect data and the validity of the structures was assessed using confirmatory factor analysis. And Cronbach's alpha coefficient greater than 0.7 for different constructs of the questionnaire confirmed its reliability. Structural equation modeling technique was used to test the hypotheses. Findings showed that service failure has a positive and significant effect on service recovery. In addition, service recovery as a mediating role has a significant and positive effect on perceived perceptions, attitudinal and behavioral loyalty.

The choice of supply network is one of the influential factors in the activity of economic and commercial enterprises. Choosing a green, agile and sustainable supplier network is also a strategic decision to be more competitive in today's global marketplace. This becomes even more important when companies are looking for new markets and therefore new suppliers. This study was conducted to identify, rank and provide a model for evaluating and selecting a green, agile and sustainable supply network in the rail transport industry. This research is of survey and applied type and the method of data collection is field and the data collection tool is a questionnaire. In this research, first, by library studies, searching on reputable scientific sites and reviewing existing scientific texts, the selection criteria of a green, agile and sustainable supplier network have been collected. Then, the research questionnaire was developed based on these indicators. Finally, using multi-criteria and statistical decision-making techniques, all indicators were ranked based on importance and the importance of each indicator was determined. In this research, fuzzy Delphi technique has been used to identify the components and CRITIC method has been used to determine the importance of the indicators. Findings show that the components of competitiveness and position in the industry among competitors, financial performance, information technology and system innovation, organizational flexibility to adapt to changing conditions over time are the most important, respectively.

In this research, in order to increase the efficiency of the proposed supply chain network, a multi-product model with multiple objectives has been considered simultaneously. This model is designed to include four levels (supply, production, distribution, and first-class customers) in the forward network and four levels (collection centers, recycling centers, destruction centers, and second-class customers) in the backward network. The model has three objective functions: minimizing the total cost, minimizing the environmental impact, and maximizing the social impact of the supply chain. The cost objective function includes purchase cost (procurement of raw materials from suppliers and cost of purchasing returned products from customers), operating costs, inventory cost, transportation cost or flow transfer between facilities, and fixed setup cost. In the second objective function, it has always been tried to minimize the environmental effects that have adverse effects on the environment. In this article, the minimization of carbon dioxide gas caused by the transfer of flow between facilities is considered a function of the environmental objective. The third objective function includes the employee welfare index. Considering that the presented model belongs to the NP-hard category, the multi-objective genetic algorithm was used to solve the model, and finally the Pareto solutions were determined. Based on the obtained results, two economic and environmental objective functions are in conflict with each other. In the sense that the movement of each in the desired direction will require the movement of the other objective function in the unfavorable direction.

Waste in law is compared to actual waste. The intention is that in some conditions, in terms of the effects and rulings related to referring to a property, a factual property that is not wasted have a same interpretation in law as it is with a wasted property. This has faced several jurisprudential and legal challenges, and at the same time, it has positive effects in terms of supporting the official document and ultimately reducing lawsuits. In this research, it is studied that how possible is to use the institution of waste in law to defend the last official document against normal documents and in general the normal contract of the previous one. Therefore, the expansion of the institution of waste in law should be supported from different angels: First, to support the Real Estate and Documents Registration Law and its various articles, including the article (22), (46) and (47). Second, to support the bona fide buyer who trusted the official document and purchased the property through all the legal formalities. Thirdly, the possibility for the injured person (natural/legal transferee) to refer to the person from whom the property was directly transferred (normal) to claim compensation, and there is no need to disturb the order regarding contracts that are official, in good faith and are bound by laws and regulations.

Blockchain technology can revolutionize the tourism sector by providing innovative solutions. One of the most important requirements for adopting any technology is to identify the barriers to its adoption, however, blockchain is a platform that is still not widely understood and accepted. The purpose of this study is to identify and analyze the barriers to blockchain adoption in the tourism industry. For the effective use of blockchain, adoption barriers must be carefully identified and analyzed to minimize their negative effects. The statistical population of this research includes twenty-two blockchain experts in the tourism industry, and the data collection tool is a questionnaire. Eleven barriers were selected from the articles and the Micmac method was used to categorize variables based on driving force and dependence. The results show that "lack of knowledge, expertise and human capital", "lack of standardization" and "lack of government regulations" as driving variables are the most important barriers to the adoption of blockchain in the tourism industry, focusing on them has effective applications in the future of blockchain in tourism. The first basic result of this study is to examine the obstacles through causality, which facilitates the decision-making process for policymakers and policy planners involved in this process. The results of the present study help organizations prioritize their efforts and actions to manage time and resources. In addition, the intensity of the examined relationships between barriers can improve the views and perceptions of the tourism industry and academic experts to analyze the relationships.

Today, sustainable development is one of the areas that business managers pay attention to in order to achieve long-term success and development. One of the areas of sustainability that has received little attention, especially in Iran, and there is limited knowledge about it, is the issue of sustainable innovation, which can create valuable results. Therefore, the aim of this research is to identify the dimensions and components of sustainable innovation in the packaging industry and provide a framework in this field. This research is descriptive-survey in terms of applied purpose and in terms of data collection method. At the beginning of the research, the theoretical foundations and previous research in the field of the research topic were examined. Based on the findings, 26 components of sustainable innovation were identified in the form of 6 dimensions. The identified dimensions include product innovation, environmental, production, organizational, managerial and social. In the next step, the fuzzy Delphi method was used to localize the identified components in the packaging industry. For this purpose, a panel of 13 experts was formed and they were asked to rate the identified factors based on a five-point Likert scale. After two rounds of the fuzzy Delphi process, 25 factors were finalized. In the next step, by using the TOPSIS fuzzy method and asking the opinion of 28 managers and specialists of Yazd packaging industries, priority was given to the components of sustainable innovation. Based on the findings, the three components of improving the quality of the final product, improving the production technology and improving the technical characteristics of the product have the highest priority. Finally, the research results showed that sustainable innovation in the packaging industry is a multidimensional phenomenon with valuable results.

Considering the current economic conditions of the country, the number of helpless companies and the importance of financial helplessness are increasing day by day. The increase in economic factors affecting financial helplessness has also increased the complexity of investment decisions for these companies. For this purpose, the approach presented in this research, taking into account various financial criteria, provides the possibility of dynamic forecasting of Financial Distress for these decision makers. makes The approach introduced in this research is first by clustering the companies in the proportional cluster of financially helpless and non-helpless with the help of artificial neural network method, self-organizing mapping (SOM) and then by using the data envelopment analysis method based on the worst performance (WPF-DEA). A dynamic forecast of the financial helplessness of the companies admitted to the Tehran Bahadur Stock Exchange was carried out. Using the mentioned method, 105 companies were evaluated and the result of the inefficiency of these companies was predicted during 5 time periods from 2015 to 2019. The dynamic data coverage analysis model based on the worst performance has the ability to evaluate the inefficiency of the examined units, including companies that are members of the Stock Exchange and Securities Organization. Data envelopment analysis has been able to successfully identify the financial helplessness of companies as inefficient decision units.

During the last decade, tourism has always had an ascending approach in appealing new audiences. One of the types of tourism, which is considered the most popular type of tourism in this century, is war tourism. In Iran, war tourism is organized in the form of war tourism camps and is based on the memories and stories of the eight years of holy defense. Preserving the memory and sacrifices of the past generation is one of Iran's cultural priorities, and war tourism camp is one of the most important related cultural events in the country, which transmits these concepts to the new generation. Students and professors are among the influential groups in the society's culture and are among the main audiences of tourism, knowing more about their attitudes and views towards the war tourism can contribute to increase the productivity of this event and the satisfaction of tourists. In this regard, the aim of this study is to identify and categorize the views of the academic community towards war tourism camps. The method was to use Q approach to survey experts and categorize their views. Then, with k-means clustering algorithms, students' opinions have been analyzed with a larger sample size. According to the findings of Q analysis, 3 categories of views have been identified, and according to the outputs of the clustering algorithm, 5 clusters of views have been identified, and the generalities of these cases are very similar.

The purpose of this study is to investigate the relationship between audit fee stickiness and audit error. For this purpose, a sample of 274 companies listed on the Tehran Stock Exchange and OTC, for a period of 9 years 2012-2020 (1455 companies-year) and selected as an unbalanced panel have been selected. The hypotheses were also tested using multivariate regression. The results showed that with increasing adhesion in the upward correction as well as adhesion in the downward correction, the error of the second type of audit will not change significantly. However, less stickiness in the upward correction leads to a reduction in the conditional audit report and an increase in the quality of the audit. Less stickiness in downward correction is also positively associated with restatement of financial statements.However, less stickiness in the upward correction leads to a reduction in the conditional audit report and an increase in the quality of the audit. Less stickiness in downward correction is also positively associated with restatement of financial statements.

Artificial Intelligence, as one of the most powerful new technologies, is changing processes and organizational decision-making methods. The use of artificial intelligence could fundamentally alter the conventional decision-making methods of today. The purpose of this research is to identify the drivers that affect decision-making with the help of artificial intelligence in organizations.

This study uses a qualitative and field approach. Data were collected through library resources and interviews with twenty-nine experts in the fields of technology, artificial intelligence, and organizational sciences. Thematic analysis was employed to identify key themes and influential drivers.

The data analysis led to the identification of six overarching themes and seventeen organizing themes. The basic themes include the acceptance of artificial intelligence, technological advancement, the capability to employ artificial intelligence and its limitations, industry requirements, and the extent of artificial intelligence penetration in organizations. Also, seventeen organizing themes have been identified, which are in fact influential drivers.

The results show that two categories of drivers, one related to the external environment and the other to the organization itself, are influential in decision-making in organizations with the help of artificial intelligence. These drivers demonstrate the importance of interaction between technology, organizational culture, and industrial and environmental conditions.

The purpose of this research is to investigate the effect of job resources and job attachment of rubber company employees on organizational commitment with the mediating role of organizational vitality. This research was conducted with a qualitative and quantitative approach. In the qualitative part, the data related to this research were selected and checked under the supervision of experts. After extracting the codes by thematic analysis, the quantitative part of the research was conducted by structural equations with partial least squares (PLS) approach. Thus, first, a questionnaire was designed by the results of the qualitative department and it was given to management experts, including managers and experts of rubber companies. Sampling in the quantitative part was obtained by non-random sampling method and available sampling type equal to 40 people. The results showed that job resources and job attachment of employees have a positive effect on organizational commitment with the mediating role of organizational vitality.

The purpose of this research was to identify and rank the factors affecting the establishment of       two-way supply chain in Shahrekord food packaging companies. This research was applied in two qualitative and quantitative parts, in the identification part, the qualitative method of theme analysis was used, and in the quantitative part, the fuzzy BWM quantitative method was used. The statistical population of the research was the experts of Shahrekord food packaging companies, 11 of whom were selected as a sample. The total codes obtained from the interviews with 11 experts participating in the interview, 7 inclusive themes include management commitment, supply chain agility, trust among supply chain partners, supply chain adaptability, innovation, supply chain efficiency and information technology. In this section, the fuzzy best-worst method was used for weighting and prioritizing the 7 main criteria of the research. Based on this, supply chain agility ranks first and the rest of the components include management commitment, supply chain adaptability, innovation, trust among supply chain partners, information technology, and supply chain efficiency.

The emerging concept of value co-creation marketing as a new paradigm; is a shift from an organization-based perspective to a more moderate perspective upon interactions among the organization, customers, and value co-creation experience leading to frequent mutual interaction. Co-creation amongst companies and customers is one of the most prospective areas in both consumers' cyber-space and the real world, and also quite an emerging research territory which has not been the target of particular research studies in Iran yet; however, the same handful of studies are conducted to highlight the necessity for more rigorous investigations to understand this phenomenon. This research intends to explore the value co-creation fields and mechanisms of Foreign Language Institutions located in Iran.

The present study utilizes Mixed-Methods Research; initially, the main themes were extracted from the studies relevant to co-creation through Thematic Analysis Method which were verified by twenty experts and specialists selected via judgmental sampling. Then, the Pairwise Comparison Matrix questionnaires were provided and distributed amid twelve career experts by theoretical and targeted sampling for the Fuzzy DEMATEL Method in pursuance of the ranking of Fields and Mechanisms.

The findings expressed that value co-creation has five main Fields and 27 Mechanisms (The five main fields' subsets) in Foreign Language Institutions that can substantially contribute to the management board pursuing mutual satisfaction and sense of engagement leading to effective performance in this market of intense and cut-throat rivalry.

The findings can be used as a basis for strengthening mechanisms of value co-creation in foreign language institutions.

The purpose of this work is to use structural analysis to create believable scenarios of Iranian food tourism. In the present study, to formulate plausible scenarios, first by reviewing the literature and interviewing experts, 37 factors affecting food tourism were extracted. The variables affecting the future of food tourism, directly and indirectly, were calculated using a questionnaire and analysis by MICMAC software. Finally, considering the two most critical factors called food festivals and sanctions/international relations, plausible scenarios for the future of Iranian food tourism were developed. Based on the results, four scenarios are presented. These scenarios include Golden Scenario, Limited Scenario, Neglected Scenario and Chaotic Scenario. In Golden scenario, which depicts the ideal conditions, as many suitable food festivals as possible are being held in a country, and sanctions are not imposed. According to Limited Scenario, holding more and better food festivals is on the officials’ agenda, but on the other hand, the country is under sanctions and pressure. In Neglected Scenario, holding festivals is the same as in the past, and the country is not sanctioned. In Chaotic Scenario, depicting the worst-case scenario, the festival process is the same as in the past and has not been developed quantitatively and qualitatively. Also, the country is in a problematic situation of sanctions. Creating Credible The industry's major players and beneficiaries greatly benefit from Iranian food tourism scenarios, which enable them to provide flexible preparation-based programmers in response to shifting circumstances. The techniques and factors that influence the growth of the business will be known to the participants and recipients of food tourism, and this will open up a multitude of opportunities for the players involved.

In this paper, we propose an empirical hybrid approach for measuring the performance of Islamic banks in MENA region by combination of four techniques including CAMEL, Grey Relation, fuzzy ANP, and FARAS during two three-year periods (from 2014 to 2019). Our findings that also considered as our contributions are as follows: firstly, this approach excludes indicators that overlap each other from the evaluation process (parsimony). secondly, it prevents the removal of important indicators (generosity). Thirdly, we have compared three most popular MCDM techniques and have shown which ones give us the best ranking results. Finally, we also improve the application of CAMEL model.

The purpose of this study is to investigate the effect of organizational honesty and leadership behavior on organizational excellence with the mediating role of job involvement. The research method of this research is descriptive-survey of applied type. The statistical population of the present study consists of the employees of the passenger department of the Railway Company of the Islamic Republic of Iran. 110 people were selected as a sample. The data collection tool was a questionnaire and the validity and reliability of the structure were assessed through factor analysis. Analysis of research data was performed using structural equation method and SPSS and PLS software. The findings of this study showed that all the hypotheses of the research were confirmed. So that organizational honesty with the mediating role of job engagement on organizational excellence, leadership behavior with the mediating role of job engagement on organizational excellence, organizational honesty on job engagement, organizational honesty on organizational excellence, leadership behavior on job engagement Leadership behavior has a positive and significant effect on organizational excellence and organizational involvement in job excellence. It is suggested that the managers and deputies of the passenger department of the Railway Company of the Islamic Republic of Iran should create a creative culture so that employees can present and apply their new proposals in the field of improving productivity and appropriate leadership style. To develop employees' individual creativity, their risk-taking must be increased to some extent.

The purpose of this research is to identify and rank the components of sustainable development of the garment industry in Shahrekord city, the current research is of applied type and it is a mixed method (qualitative and quantitative). The statistical population is the senior managers of Shahrekord Hijab textile company. In the qualitative stage, 10 experts of the garment industry of Shahrekord were used using targeted sampling, and data were collected using the thematic analysis method with the help of interviews, and in the quantitative part, the factors were ranked using the best-worst method. The qualitative classification of the components was carried out in the form of three main economic, social and environmental themes, which include 13 components of profit increase, cost reduction, market share, technology infrastructure and information technology, compliance with humanitarian principles, management support, environmental concerns, commitment Social, education, non-production of pollution, general management policies in support of the environment, environmentally friendly design and product recycling. Then, using the best-worst method, the technology and information technology infrastructure factor got the highest rank and the social commitment factor got the lowest rank. Based on the obtained results, in order to achieve organizational productivity, managers should pay attention to the sustainable development factor in the sustainable development of the clothing industry.

With industrial revolutions, there have been fundamental changes in technology and production patterns. The introduction of automation processes, electronics and information technology in the transformations of machine and manual work led to the fourth industrial revolution. This development, which is referred to as the fourth industrial revolution, has led to the emergence of concepts such as the Internet of Things, big data, and artificial intelligence. Therefore, the purpose of this research is to provide a model of the effect of the technologies of the fourth industrial revolution in the Iranian automobile industry. In terms of the environment, the current research is of the library and field type. Based on the applicability of the results, the current research is applied. Also, according to the subject, the nature of the current research is descriptive and correlational. The statistical population of this research is made up of deputies and managers of the automobile industry. For the validity of the questionnaire, face validity was used, and for reliability, the shared and composite reliability coefficient was used. For data analysis, using SPSS and Expert Choice software, correlation coefficient, hierarchical analysis and sample t-test were used. The findings of the AHP hierarchical analysis method test show the importance of the components of the technologies of the fourth industrial revolution in the automobile industry. It ranks third with 0.157, institutional environment ranks fourth with 0.145, government policies rank fifth with 0.120, market weighs 0.117 ranks sixth, and finally cultural factors rank seventh with 0.102. Paying attention to the basic indicators of the importance of the technologies of the fourth industrial revolution in the automobile industry will help this industry move better than before in the direction of predetermined goals.

In line with the development of innovation, one of the most important things that should be taken into consider by policymakers at different levels is to address the characteristics that distinguish firms active in a certain field.By taking into account the environmental and local differences, as well as the internal differences of the firms, how innovative activities are carried out, the type of research and development costs of the firms, the type of market they are considering and many other indicators that have been addressed by various researchers, they can Identify different firms and study their activities and set appropriate policies.In this research, by identifying the innovative activities, a new typology of firms in the oil and gas sector has been presented, and finally, according to the findings of the investigation of innovative activities and the data related to the national innovation survey plan of Iran, the appropriate framework for the development of innovation in this sector are suggested.By hierarchical clustering, 73 selected oil and gas Firms were classified into 4 clusters, which are: (1) firms focused on cooperation and networking and internal routines, (2) firms focused on research and development and internal routines, (3) firms focused on research and development and (4) firms focused on research and development and networking and cooperation. Then the policy framework in order to encourage innovation were presented and examined for each cluster.

The purpose of this research was to investigate the effect of progressive human resource management on theThe purpose of this research was to identify and prioritize the barriers to using blockchain technology in the supply chain of food packaging companies in Shahrekord. This is an applied research that is mixed (qualitative and quantitative). The statistical population of the research is the experts of Shahrekord food industry packaging companies, using the purposeful sampling method and the use of theoretical saturation, the number of 10 experts was selected as a sample. In this regard, by using field and library studies and the method of content analysis, the obstacles to the use of blockchain in the sustainable supply chain were identified and ranked using the Dimetal technique. The results showed that the lack of management commitment is the most influential factor on other factors, and the rest of the factors are internal obstacles, lack of familiarity of employees, lack of specific rules, sustainability obstacles, obstacles outside the organization and infrastructural obstacles. It shows the effect of other factors on this factor.

This study was carried out to investigate the moderating role of organizational culture on the relationship between lean practices and operational performance in the services sector. In this study, in order to measure The operational culture variable Was used the nine dimensions of culture Globe where is including Future orientation, Humane orientation, In-group collectivism, between-group collectivism, Performance orientation, Uncertainty avoidance, Assertiveness, Power distance, Gender Egalitarianism. The statistical community of The study included 195 managers of Persian Gulf International Transport Company, which then shortened by randomly picking 129 people from them by cocran formula and this would function as The sample volume. Data collected by using questionnaire was conducted. Data analysis was assisted using structural equations modeling and smartPLS2 software. The study results showed that lean practices affect the operational performance, but organizational culture dose not moderate the relationship between these two variables. Nevertheless, by examining the moderating role for individual dimensions of the organizational culture was determined only Future orientation, between-group collectivism, Performance orientation and power distance, are moderated relationship between lean practices and operational performance.

The purpose of this research was to identify and prioritize the barriers to using blockchain technology in the supply chain of food packaging companies in Shahrekord. This is an applied research that is mixed (qualitative and quantitative). The statistical population of the research is the experts of Shahrekord food industry packaging companies, using the purposeful sampling method and the use of theoretical saturation, the number of 10 experts was selected as a sample. In this regard, by using field and library studies and the method of content analysis, the obstacles to the use of blockchain in the sustainable supply chain were identified and ranked using the Dimetal technique. The results showed that the lack of management commitment is the most influential factor on other factors, and the rest of the factors are internal obstacles, lack of familiarity of employees, lack of specific rules, sustainability obstacles, obstacles outside the organization and infrastructural obstacles. It shows the effect of other factors on this factor.