دکتر فریدون امیدی

The expansion and excessive increase in the population of cities, the change in the consumption pattern and the increase in waste and the lack of effective scientific methods in the matter of collecting and disposing of urban waste have made this issue one of the problems of urban societies. This research was done with the aim of designing urban waste management model based on new technologies.

This research is a mixed research (qualitative-quantitative), applied and in terms of descriptive-survey method. 20 experts were selected in a targeted way. The statistical population of the quantitative part includes the citizens of Dezful city, who were randomly selected using Cochran's formula, 384 people were available. Data analysis has been used in the qualitative part using the grounded theory method and structural equations in the quantitative part.

The results showed that the index of cultural-social structure, modern leadership and the use of guidelines as contextual categories, environmental and climatic conditions, smartening of the path of waste management and trust building as causal conditions, creating suitable infrastructures, intelligent analysis and training as The categories of strategies, management and human, structural and environmental challenges were selected as intervening categories in the design of urban waste management model based on modern technologies.

It is possible to improve the effectiveness of waste management methods by improving the management structure, increasing public awareness and improving human and environmental health and using new technologies.

Value co-creation constitutes a burgeoning paradigm in the business landscape, accentuating a dynamic interplay that incessantly generates and recognizes shared values between organizations and customers. This research is positioned to architect a comprehensive model for anticipating value co-creation and delving into its far-reaching implications within the intricate realm of the petroleum industry.

This study is firmly grounded in the domain of mixed-methods exploratory research, manifesting a symbiotic fusion of qualitative and quantitative inquiry. The qualitative phase is underpinned by a fundamentalist epistemological stance, while the quantitative facet encompasses pragmatic aspects. The statistical cohort within the qualitative realm is composed of domain experts and executive leaders. The qualitative phase deploys semi-structured interviews as the data collection vehicle, resulting in 21 insightful dialogues. Subsequently, the amassed data undergoes meticulous scrutiny through a synthesis of thematic analysis and theoretical coding. In the quantitative domain, the empirical model is subjected to rigorous examination employing the robust analytical apparatus of structural equation modeling (SEM), synergizing with the cutting-edge software PLS (Partial Least Squares).

The qualitative inquest manifests a constellation of precursors (namely, quality enhancement, order orchestration, competitive dynamism, supply chain orchestration, and human resource governance) that act as cradles for value co-creation, coupled with ramifications (inclusive of performance augmentation, productivity gains, brand amplification, production efficiency optimization) that flow from this symbiotic endeavor. The foundational pillars of this value co-creation fabric crystallize into a paramount emphasis on the supplier-relations continuum.

Propagating the ethos of value co-creation within the tapestry of the petroleum sector serves as a fulcrum for harnessing latent potentialities and competences, thereby wielding a strategic edge in terms of competitive prowess, brand exaltation, performance amelioration, operational efficiency, productivity enhancement, and qualitative advancement.

In terms of purpose, the present research is applied and its method is hybrid. First, semi-structured interviews with 20 experts were used to identify the antecedents and consequences of the marketability of developing new products in Abadan Oil Refining Company, and in the quantitative part, the model was validated using a questionnaire. The statistical population in the qualitative section was academic experts and senior managers, and in the quantitative section, all specialists and managers. The findings in the qualitative phase are antecedents (market research, innovation, planning, structural factors and human resource management) and consequences (market presence, new products, more stable customers, sustainable development). In conclusion, it can be said that industries such as oil should have higher product performance and pay attention to strengthening different types of marketing capabilities in order to achieve development strategies for new products that are in line with firm goals and evaluation of the external and internal environment along with resources.

In today’s business world, companies are not only striving to compete for market share of products and services, but also making significant efforts to create alignment of customer perceptions with their own. With increased customer loyalty, market share and profitability of economic entities grow. Brand loyalty can be fostered through a set of behaviors referred to as customer engagement. Successful corporate brands are built by companies that establish valuable positive communications with their customers, hence this research aims to design a model for the effectiveness of brand on consumer loyalty.
This research adopts a mixed-method exploratory approach. In the qualitative phase, phenomenological hermeneutics was used to reveal participants’ lived experiences. The data consisted of 20 interviews with purposively selected experts. In the qualitative analysis, coding techniques such as open, axial, and selective coding were employed within a grounded theory framework. Following this, the TOPSIS technique was utilized to prioritize the factors influencing brand effectiveness on consumer loyalty.
After conducting the interviews and analyzing them, the interview transcripts were systematically examined to identify the main factors. In the first step, statements, dimensions, and characteristics were extracted from the interview transcripts (common codes). In the next stage, the data were analyzed at the level of sentences and phrases to uncover concepts. In the third stage, the final themes resulting from the categorization of common concepts were extracted. Coding was done directly from the participants’ interview transcripts, and data analysis was conducted meticulously to achieve logical saturation.
Based on the results obtained in response to the first question regarding the indicators of the brand effectiveness pattern on consumer loyalty in selected grocery stores in Khuzestan province, 12 main indicators were identified. In response to the second question regarding the components of the brand effectiveness pattern on consumer loyalty in selected grocery stores in Khuzestan province, 27 main components were identified. In response to the third question regarding the dimensions of the brand effectiveness pattern on consumer loyalty in selected grocery stores in Khuzestan province, 71 dimensions were identified. The research results indicate that trust, brand image, brand credibility, brand knowledge, brand value, brand responsibility, brand awareness, brand rewards, innovation, and marketing ultimately influence customer loyalty and satisfaction.

The purpose of the research: The purpose of the research is to identify the antecedents and consequences of the bundling of government support with the approach of competitive advantage of agricultural product exporting companies in Khuzestan province.

This research was conducted in terms of practical purpose and qualitative data collection method and theme analysis approach. The participants in this research include experts of agricultural products exporting companies in Khuzestan province with at least 10 years of export experience, and the required data is collected through semi-structured interviews. They were collected until reaching theoretical sufficiency.

In this part, after the search for themes (selective codes) and the formation of sub-themes, finally 5 main themes were obtained, which are the result of semi-structured interviews with 16 experts and experts in the field of research, 2 dimensions of which are related to Antecedents under the title of managerial performance (management performance in export support, positive mental models of managers) and infrastructure factors of the agricultural industry (agricultural industry infrastructure, Khuzestan market dynamics and transport fleet) and 3 dimensions related to the consequences including value creation (creating Value in business, creating value for the customer (improving economic conditions (economic growth and prosperity, direct and indirect job creation) and creating a competitive advantage (proper positioning compared to competitors).

The existence of effective government support bundling in the export of agricultural products of Khuzestan province creates a competitive advantage over other competitors in terms of quality, appearance, method of sending the product, etc., which leads to the growth of exports, increase in income and increase in employment in this province. It becomes the field.

This research was done with the aim of providing a conceptual model of sustainable supply chain based on competitive advantage for Abadan Oil Refining Company. To achieve this goal, a mixed research method was used in two qualitative and quantitative phases with an exploratory approach. In the qualitative phase, the data were analyzed through interviews with 12 people using the purposeful and snowball sampling method and with the help of the Foundation's data theory in three stages of open, central and selective coding. Atlas T software was used in qualitative phase data analysis. In the quantitative phase, using a researcher-made questionnaire with optimal validity and reliability, a total of 284 valid questionnaires. It was collected and analyzed with the help of structural equation method with PLS software. Quantitative phase respondents include procurement and purchasing department personnel in Abadan Oil Company. These people were selected and surveyed using available sampling method. The findings of the qualitative phase include the presentation of a conceptual model of sustainable supply chain based on competitive advantage, the components of this model consist of 339 open codes, 62 concepts and 22 categories. The findings of the quantitative phase showed that the components of the presented model are related to each other and in addition to the significance of the relationships, the goodness of fit indicators of the model are at their desired level.

more than 50% of the current costs of an organization are related to purchasing, which includes a large volume of the company's turnover, and by optimizing it, it can provide services with a lower cost and improve the level of competitiveness of the company's product/service. The purpose of this research is to present the optimal purchase model in the sugarcane development company and related industries, as well as to identify the antecedents and consequences of optimal purchase.

This research is among qualitative and quantitative research. In the qualitative part, a semi-structured interview was conducted with experts in the Sugarcane Development Company for data collection, and after conducting 12 interviews, the data were analyzed using a combination of thematic analysis and theoretical coding using Atlas T software. In the quantitative phase, the authors tested the model using structural equation method with the help of PLS software.

In the qualitative part, in order to collect data, the opinions of experts in sugarcane development company and ancillary industries were used. The selection of people in the qualitative section was based on the purposeful and snowball sampling method. In order to ensure the theoretical adequacy of the data, the researcher (12) has conducted an interview.

The results of the qualitative phase of the research showed that the most important antecedents of the optimal purchase model include quality improvement, coding system, order management, budget, human resources management, and competitiveness, management of information and communication technologies, and elimination of unnecessary administrative bureaucracy. In the qualitative section, it was also found that the most important consequences of purchasing optimization include improving performance, productivity, efficiency in production and improving the organizational brand. The results of the quantitative phase of the research also indicate the appropriate fit of the presented model.

The Internet of Things (IoT) has only recently found applications in export businesses; hence, there is still a lack of a comprehensive and elaborate view to propose with integration and cohesion on various applications of the IoT technology in export businesses. The present study aims to use grounded theory to investigate the adoption of IoT in export businesses. In the qualitative section of the research, the strategy involves grounded theory and the data gathered from research experts. The qualitative part includes interviews with experts. The corresponding statistical population consists of experts with knowledge of the research subject. In this part, sampling is conducted through the snowball technique, and interviews are continued until theoretical saturation is ensured. All the managers and experts of agricultural machinery export companies in Tehran, Iran, comprise the statistical population of the quantitative part of the research, where the Cochran formula is applied to calculate the sample size. The study uses structural equation modeling and the Smart PLS Software to test the model. The results of the grounded theory-assisted analysis show that some indicators can best be selected to design a model for the application of IoT in export businesses. They include technical infrastructure and the company's environment as categories of context, capabilities & costs as categories of causal conditions, decision-making & planning and process facilitation & acceleration as the core phenomenon categories, learning & training and marketing as categories of actions/interaction strategies, international customer inclusion as categories of intervening conditions, and performance in export businesses as categories of consequences.

The study takes a mixed explanatory approach. In the qualitative part of the research, hermeneutic phenomenology is applied to explore the participants' lived experiences. To conduct in-depth interviews, a total number of twelve individuals were selected using the snowball sampling technique. The data analysis was performed through coding using the MAXQDA software. The descriptive-survey method is used in the quantitative part of the research. The study uses structural equation modeling and the Smart PLS Software to test the model.

As the results of the secondary coding imply, the indicators selected in designing a model for the application of IoT in export businesses include technical infrastructure and the company's environment as categories of context, capabilities & costs as categories of causal conditions, decision-making & planning and process facilitation & acceleration as the core phenomenon categories, learning & training and marketing as categories of actions/interaction strategies, international customer inclusion as categories of intervening conditions, and performance in export businesses as categories of consequences. The computations in the inter-operative structural modeling suggest that technical infrastructure and the company's environment are exogenous independent variables unaffected by any other variable in the model. The endogenous independent variable is the process facilitation and acceleration, and "international customer inclusion" and "performance" are the dependent variables. Furthermore, learning & training, and marketing are the variables that play a mediating role. The findings also demonstrate that, in agricultural machinery export companies, the desirable components are technical infrastructure, the company's environment, capabilities & costs, process facilitation and acceleration, decision-making & planning, learning & training, marketing, performance, and international customer inclusion.

According to the results, the indicators selected in designing a model for the application of IoT in export businesses are technical infrastructure and the company's environment as categories of context, capabilities & costs as categories of causal conditions, decision-making & planning and process facilitation & acceleration as the core phenomenon categories, learning & training and marketing as categories of actions/interaction strategies, international customer inclusion as categories of intervening conditions, and performance in export businesses as categories of consequences. The subject of capabilities & costs precisely refers to the degree of efficiency in the application of IoT in export businesses; that is, how much it costs to gain what extent of capabilities. In the case of indicators such as decision-making & planning and process facilitation and acceleration, the latter being a management indicator, if applied properly, IoT can essentially facilitate the processes, provided that careful planning is carried out and the right decisions are made regarding its adoption. Learning & training are the indicators with a potentially significant role in improved efficiency and the achievement of IoT capabilities. The proper training of managers and employers can be crucial in the technology's acceptance and operation. In this process, marketing such a technology can inspire a different feeling in customers, leading to a host of advantages in a practical sense. International customer inclusion refers to handling and facilitating customer affairs via new technologies such as IoT. Performance can undoubtedly be enhanced if all the indicators are aptly accomplished. The computations in the inter-operative structural modeling indicate that technical infrastructure and the company's environment are exogenous independent variables unaffected by any other variable in the model. The endogenous independent variable is the process facilitation and acceleration, and "international customer inclusion" and "performance" are the dependent variables. Furthermore, learning & training, and marketing are the variables that play a mediating role.

This research was conducted with the aim of developing a model of social banking and its impact on customer experience in branches of Housing Bank of Khuzestan province. To achieve this goal, a mixed research method was used in two qualitative and quantitative phases with an exploratory approach. In the qualitative phase, the data were analyzed through interviews with 12 experts using the snowball and targeted sampling method and with the help of the Foundation's data theory during three stages of open, central and selective coding. Atlas T software was used in qualitative phase data analysis. In the quantitative phase, 288 healthy questionnaires were collected using a researcher-made questionnaire with optimal validity and reliability and analyzed using PLS software. The respondents of the quantitative phase included the staff of Maskan Bank branches in Khuzestan province. These people were selected and surveyed using a simple random sampling method. The findings of the qualitative phase included the development of a model for social banking, which consists of 325 open codes, 72 concepts and 26 categories. The findings of the quantitative phase showed that the designed model has a good fit and has a positive and significant effect on the customers' experience.

The main purpose of this research was to investigate the impact of customer hostility on business. Due to the exploratory nature of the research topic, it was not possible to provide an initial answer or a hypothesis plan suitable to the main question above, and the final answer was obtained by using the theme analysis method. To collect data and extract experts' opinions, interviews A semi-structured interview was conducted with 15 managers and professionals with experience in business who were selected by a purposeful method and as a snowball chain reference. Then, with a round-trip process based on theme analysis of key concepts related to the impact of hostility. Finally, 186 key concepts, 43 selective codes, and 22 sub-themes were identified and in the form of 8 main themes including: 1-increase in unbalanced behavior of customers 2-increase in the number of complaining customers 3-increase in business costs 4-increase in negative advertisements by customers 5- Decrease in brand popularity and position 6- Decrease in sales 7- Decrease in business profit 8- Decrease in market share

relationship management has a tremendous impact on all aspects of the supply chain and the development of new products, as well as its performance level. In many cases, information systems and technology required for supply chain management activities are readily available and can be completed and deployed in a relatively short period of time. However, many of the initial failures in the development of new products are the result of poor transfer of expectations and the result of behaviors that occur among the parties involved in the chain. Therefore, the purpose of this research is to design a model of communication with suppliers in line with value co-creation in Abadan Oil Refining Company.

The current research is a mixed (qualitative-quantitative) research, in terms of developing goal and based on the foundational data theory with the Strauss and Corbin method, which includes coding on three levels, open, central and selective, using semi-structured interviews with 21 Participants, and the homogeneity has been obtained in a small part by fitting it with Lisrel software.

Based on the done coding, the indicators and components have been presented in the form of a conceptual model and the model has been explained after confirming the validity and reliability.

based on the obtained model, communication with suppliers in line with value co-creation as a central and main phenomenon by applying strategic partnership strategies, empowering and reducing the risk of suppliers, determining the level and importance of suppliers in the context of background factors, while considering the effects of intervening variables such as legal requirements, industry characteristics and environmental factors and causal variables including organizational structure, communication tools, organizational platform for rational decision-making and positive results for suppliers and beneficiaries as well as effective value co-creation and it should happen continuously.

The main goal of this research was to discover and analyze the types of customer hostility in Iran's automotive industry. The main question was how to identify and categorize the types of customer hostility. Considering the exploratory nature of the research topic, it is possible to provide an initial answer or a hypothetical plan. There is no corresponding to the main question above and the final answer has been achieved by using the theme analysis method. To collect data and extract the opinions of experts in the automotive industry, semi-structured interviews were conducted with 11 managers with experience in this industry. It was done with a purposeful method and as a snowball chain reference.Then, with a back-and-forth process based on theme analysis, key concepts related to the types of customer hostility in Iran's automotive industry were extracted. Finally, after conducting the research, the types: 1-Stable hostility 2-Temporary hostility 3-Political hostility 4-Economic hostility 5 -Organizational hostility 6-Individual hostility (psychological) 7-Cultural hostility were discovered as types of hostility in Iran's automotive industry.

 Restaurant customers usually buy a service with several evaluation criteria at the same time. Typically, the purchase decision may be made by considering things such as service quality, delivery speed, price, and other specific purchase motives. This research was conducted with the aim of investigating the effect of the physical environment on the satisfaction and repetition of customers' purchases with regard to the role of perception (dining halls and fast foods in Arvand Azad Zone).The research is a descriptive-survey research in terms of applied purpose and based on the nature and method. The statistical population in this research is all customers of the food industry, especially ready-to-eat foods in restaurants and fast foods in Arvand Free Zone. The statistical sample was selected using Cochran's formula for limited societies with the number of 384 companies and stratified random sampling method. The tool used in this research is a localized and developed questionnaire of 33 questions taken from the research of Chen and Fiore (2017). The reliability of the questionnaire was confirmed using Cronbach's alpha test, in order of physical environment 0.91, perception 0.87, repeat purchase 0.88 and satisfaction 0.83. Also, the validity was confirmed using factor analysis with the value of KMO=0.881. Data analysis was done using SPSS.22 statistical software and AMOS structural equations program.The physical environment and the right price are two essential elements that determine the level of customer satisfaction and ultimately increase customer loyalty.

  The purpose of this research is to identify and prioritize factors affecting the development of Iran's transportation, customs and transit cooperation with other countries. This research is a mixed research method. The qualitative part of the research includes interviews with experts, so the intended statistical population was formed by experts familiar with the subject of the research. At first, the results of the qualitative part of the interview were coded with the data method of Foundation, Strauss and Corbin, and then the factors affecting the development of Iran's transport, customs and transit cooperation with other countries were identified and ranked. A closed questionnaire was used. The statistical population includes 12 experts in the qualitative section and 127 experts and customs managers in the quantitative section. Cronbach's alpha method was used for the reliability of the quantitative part of the questionnaire. In the next stage and step of the research, using the axial coding method and with analysis in the data theory of the foundation, the relationship between the classes produced in the open coding stage and the relationship of other classes with the central class are established in 6 headings, which are: 1. Conditions Ali, 2. central phenomenon, 3. strategies and measures, 4. intervening conditions, 5. contextual conditions, 6. consequences were obtained based on the paradigm model (Strauss and Corbin, 1998). Before that, considering these 6 classes and their relationship with each other, and with the opinion of professors and experts, the main and subcategories were identified from all the obtained indicators, and their priority and ranking were determined. In the quantitative part, the data analysis method including t-test and using structural equations has been determined and analyzed by SPSS and SmartPLS software.

Non-oil export consists of two axes of goods export and service export, and the success in each of the export areas is a wide range of micro and macro components related to each. Getting rid of the single-product economy and diversifying the export of goods and services is one of Iran's special needs. In addition to the development of the goods sector, the export of technical and engineering services creates employment, improves the trade balance and economic growth of countries. Considering the role of the export of technical and engineering services in improving the economic situation, in this study, an attempt has been made to define a model for the export of drilling technical and engineering services, therefore, the purpose of this research is to design an interpretive structural model for the export of technical and engineering services. It is oil and gas drilling. This research uses mixed methods to design the model, so it is an applied research and is done with the help of inductive and interpretive methods. The population and statistical sample of this research are as follows: In the qualitative section and content analysis of strategic plans and technical and engineering service missions, 22 major oil and gas companies of the world were considered, and twenty-two companies were selected by head count method. were selected Also, in a small part of the statistical community, there are beneficiaries and users of the export of technical and engineering services, the number of these people is unlimited. Based on Cochran's Fitzmol, 384 people were calculated for unlimited communities. With the help of qualitative content analysis, 20 dimensions and 97 indicators were identified. . To test the research and modeling questions, structural-interpretive modeling has been used. After designing the model, the leveling of components and the type of components were described. The modeling level results showed that the first level included the performance of exporting technical and engineering services, export marketing capabilities, committee formation, and the ability to provide services in an integrated manner. The second level consists of three layers, in which there are components of banking services and credit documents in Riyal currency, export action and quality goals based on the company's strategies. The third level includes four components, which include the high committee regarding the prioritization of technical and engineering services, strengthening the financial base, machinery and interactions with the Ministry of Foreign Affairs. The fourth level has an integrated management component. The fifth level has two components of technical and engineering services of wells and consumables required for the implementation of the technical and engineering service contract. The sixth level has three variables: labor force, social security and planning engineering of offshore operations. The seventh level includes the components of export policy in order to gain currency, strategies to enter the company's international marketing and integrated international technical and engineering certificates.

This research was done with the aim of providing the optimal purchasing system model for the sugarcane development trading company and its ancillary industries. This research is a type of mixed exploratory research. In the qualitative phase, the data were analyzed through interviews with 12 people using the snowball and targeted sampling method and with the help of the Foundation's data theory during three stages of open, central and selective coding. Atlas T software was used in qualitative phase data analysis. In the quantitative phase, by using a researcher-made questionnaire with optimal validity and reliability, a total of 284 healthy questionnaires were collected and with the help of the structural equation method with software PLS(Partial Least Squares) was analyzed. Quantitative phase respondents include employees of the logistics, procurement and purchasing department in the sugarcane development company and its functions. These people were selected and surveyed using available sampling method. The findings of the qualitative phase include the presentation of the optimal purchasing system model for the sugarcane development trading company and related industries, which consists of 339 open codes, 62 concepts, and 22 categories. In this context, the criteria of durability, beauty and product packaging, compliance with customer expectations, compatible or environmental products, access to resources, technology, innovation in Product and services, supply and procurement, production, distribution, deregulation and administrative paperwork, order registration and timely delivery of products, indicators and standards of timely delivery have an effect on the central phenomenon of optimal purchasing and the result improved organizational performance, high productivity, improved organizational brand And it leads to efficiency in production. The findings of the quantitative part showed that all the dimensions identified in the qualitative part are significant based on the path coefficients based on the structural equation model and the model has a good fit. For this reason, the qualitative model was confirmed based on quantitative validation.

To increase environmental awareness among consumers, prompting them to pay more attention to green businesses. The main purpose of this research was to identify and rank the factors affecting consumer support for green businesses in Arvand Free Zone using exploratory factor analysis and TOPSIS technique. This research is descriptive and applied in terms of purpose. The study population was home business consumers in Arvand Free Zone. The sample size was 385 people based on Cochran's formula who selected using convenience sampling method.The findings of the research show that the business philanthropy, valuing nature for the business, ethics in business, the perceived quality of the product as factors exerting impacts on consumer support for green businesses in Arvand Free Zone.The results of the ranking of the options with the TOPSIS technique indicate that the option of benefits provided by green business products has a higher priority compared to other options. In the same way, the ranking of other criteria has also been determined.

The purpose of this applied research is to present a model for determining the strategies and methods of developing Iran's transit and customs cooperation with other countries. Based on the purpose and nature of this research, a mixed research method was conducted by interviewing research experts; accordingly, the qualitative aspect of the research is based on a grounded theory approach. The statistical population and its data collection method in qualitative and quantitative sections include semi-structured interviews for 12 experts and closed questionnaires for 127 experts and customs managers respectively. Cronbach's alpha was used to test the reliability of the quantitative part of the questionnaire. The data analysis method included a t-test and structural equations, which were analyzed by SPSS and Smart PLS software. According to the findings, the t-statistics calculated is at the level of 0.001. The main categories of the strategic model of transportation, customs, and transit cooperation with other countries include internal organizational factors, knowledge and technology features, international standards, communication, management, gaining experience and training, innovation, strategies, and legislation and policy.

The purpose of this study is to design a human resource management model with a governance and social responsibility approach that affects the performance of the company in the Sugarcane Development Company and ancillary industries. The purpose of the research is applied and exploratory and its method is a combination of qualitative-quantitative order. The statistical population includes related articles and texts and experts and specialists in the sugar industry of Khuzestan province. In the qualitative stage, the statistical sample for the method is a combination of related articles and texts and for the fuzzy Delphi technique, 17 experts are targeted. In the quantitative stage, the statistical sample for interpretive structural modeling and structural equation modeling is 40 experts. The collection tool is a related article and a questionnaire in the qualitative stage and a questionnaire in the quantitative stage. Using the meta-combination method, the initial pattern was extracted and the most important factors were confirmed by experts from the fuzzy Delphi technique. The surface and the dimensional relations of the pattern were determined and fitted using interpretive structural modeling. The final research model with 4 dimensions, 17 components and 85 indicators has the necessary fitness

Corporate entrepreneurship has a key role in the success of companies. The purpose of this research is to develop a corporate governance model with an entrepreneurial and social responsibility approach. The research is practical and exploratory in terms of purpose. The statistical population includes articles and texts related to corporate entrepreneurship, governance and social responsibility, and experts and specialists in the sugar industry of Khuzestan province. The time domain is from 2019 to 2021. In the qualitative phase, the statistical sample for the meta-combination method of articles and related texts and for the fuzzy Delphi technique is 17 experts using a targeted method. In the quantitative stage, the statistical sample for interpretive structural modeling and structural equation modeling is 40 experts. In the qualitative stage, the researcher made a collection of related articles and texts, and in the quantitative stage, the researcher made a questionnaire. The results of the research showed that based on the values of the obtained fit indices, the overall structure of the research model is appropriate. The final model has 4 dimensions, 15 components and 71 indicators. In explaining the findings of this research, governance has a significant impact on corporate entrepreneurship and corporate entrepreneurship, a significant impact on corporate social responsibility, and finally, corporate performance.