ابوتراب علیرضایی

The success of organizations depends on identifying the current and future expectations of customers and integrating them into decisions to face the uncertain future. Adapting the service features to the changing demands shows the need for future study in service quality for all organizations that are in contact with customers.

The purpose is to provide a paradigmatic Providing service quality management model with a future research approach (case study: active industries of Khuzestan province)

The research method is mixed and exploratory, and according to the future research approach, the scenario writing method was used. The statistical population in the qualitative phase of the research was the experts of industrial companies in Khuzestan province. The sampling method was the snowball sampling technique, which reached 18 samples for modeling. The statistical population in the quantitative section consisted of 400 heads and managersand 182 people were selected by random sampling.

Based on the analysis of the qualitative data obtained from the interviews and the coding using MAXQDA software, 103 codes and 20 categories were identified. Tthe relationship between variables was tested and confirmed based on a causal structure with PLS software. Also, eight scenarios for the future were compiled using the mutual impact analysis matrix, and selected three acceptable scenarios (optimistic, probable and pessimistic).

According to each scenario, appropriate suggestions were presented to help managers to make strategic decisions in order to grow and develop the quality of services related to the industry and a favorable future.

The oil industry is one of the most important economic sectors, especially in countries dependent on it. The oil supply chain faces many risks that must be taken into account.

To identify components of the chain and their risk and to analyze their relationships.

The research approach is mixed (qualitative-quantitative). In qualitative section, evaluation of the oil supply chain was discussed with thematic analysis. In quantitative phase, Fuzzy Delphi and Dimtel were used to evaluate and identify cause and effect relationships of risk indicators. research sample was 16 professors and experts in field of oil until reaching theoretical saturation.

The oil supply chain has six stages of extraction and production, transportation, refining, distribution, storage and final distribution. Also, 38 risk cases were identified and confirmed based on the fuzzy Delphi results. According to Dimtel's, the distribution component is the most effective among the chain components.

Improving distribution services, timely delivery of products and guaranteeing uninterrupted supply of oil for customers is of great importance. Factors such as optimal distribution, improving transportation network, reducing waste and damages in transportation process, and using appropriate technologies to monitor and control petroleum compounds improve quality and efficiency of distribution.

Quality is a key factor for survival and future development of any organization and an important factor for gaining competitive advantage. One of the basic tasks of management is choosing a combination of service quality characteristics that is optimal for customers.

This research was conducted with the aim of identifying effective factors in service quality management of industrial companies active in Khuzestan province with the approach of foundational data theory.

This research presented the service quality management model in the active industries of Khuzestan province by using the qualitative research method and data-based theory derived from the theory of Strauss and Corbin (1998). Data analysis was done using the open, central and selective three-step coding method using MaxQuda software. The selection of the sample size using the snowball sampling method reached 18 samples through theoretical saturation.

Based on the analysis of the qualitative data obtained from the interview, 103 open codes and 20 categories were determined.

According to the results of the research, managers of industrial companies can develop their efficiency and effectiveness in the field of service quality management by using the paradigm model presented in this research.

The purpose of the present research is to investigate the position of the components and influencing factors in the alignment model of petroleum refinery projects related to the country's industrial strategies in the Ministry of Oil. The current research can be considered in the category of applied research in terms of the purpose and nature of the research. The current research implementation method is a descriptive survey, and the correlational research design is based on structural equations. The statistical population of the quantitative research includes all employees of the Ministry of Oil and Petrorefineries in Tehran. A simple random sampling method was used in the quantitative part of the research. To estimate the sufficient number of samples in this research, Cochran's sample estimation formula was used. The statistical population in the field of structural equations of the research includes 600 employees of the Ministry of Petroleum and Petrorefineries of Tehran city with the required number of samples and in the field of multi-criteria decision-making, the team of research experts is also included. Data analysis was done using SPSS and Smart-PLS software. The findings of the research show that based on the alignment of the refinery projects with the country's industrial strategies in the Ministry of Oil, alignment enablers include the maturity of communication and management factors and the exercise of authority, strategic technology planning and organizational architecture aligned with technology, partnership factors, human resources (innovation, entrepreneurship, Expertise, knowledge) and distinctive competence factors that lead to the realization of optimization results and reduction of capital and current costs and synergy in both sides of petro-refining and industry are of special importance.

In today’s world, taking advantage of social capacities and national capabilities in manufacturing handicrafts requires the application of new state-of-the-arts production techniques. In this regard, social manufacturing is an emerging phenomenon that serves as a new production ecosystem equipped with modern technologies and social networks. Therefore, this qualitative study sought to identify the requirements and challenges of applying social manufacturing to the production of handicrafts using the Grounded theory (Glaser method). To collect the required data, semi-structured interviews were made with twelve experts in the field of handicrafts and information technology who were selected through the purposive sampling method. The collected data were then analyzed using the MaxQda 10 software. On the other hand, the validity, transferability, reliability, and verifiability of the study were also measured to strengthen the findings. Finally, the collected data were analyzed through actual and theoretical coding.According to the study’s results, altering the manufacturing structure, fostering relationships with consumers, developing research and education, developing the infrastructures, and establishing production networks were identified as the main requirements of applying social manufacturing to the production of handicrafts. Moreover, the conceptual map of the study was drawn, including nine categories and twenty-nine sub-categories. The current study can fill a number of gaps existing in the application of social manufacturing in Iran.

The purpose of this research is to design a model for the alignment of petroleum refinery projects with the country's industrial strategies in the Ministry of Oil. The research method is applicable in terms of purpose, qualitative in terms of data collection, and data-based type. The statistical population of the research includes 20 experts and senior managers of the Ministry of Petroleum and Petrorefineries in Tehran, selected by theoretical sampling. To collect and analyze the data, the data-based theory research strategy was used. The data collection tool is a semi-structured interview. Data analysis and model design were done through coding. The findings of the research showed that the alignment of the refinery projects with the country's industrial strategies in the Ministry of Oil, the enablers of the alignment include the maturity of communication and managerial factors and the exercise of authority, strategic technology planning and organizational architecture aligned with technology, partnership factors, human resources (innovation, entrepreneurship, expertise, knowledge), and the distinctive competence factors that lead to the realization of optimization results and reduction of capital and current costs and synergy in both sides of petro-refining and industry. Managers and experts can help to optimize this industry and reduce costs by using the model of aligning petroleum refinery projects with industrial strategies. Based on the results, it is suggested to the planners of the oil industry to try to increase the alignment of the refinery projects with the industrial strategies of the country in order to develop the refineries.

Multifunctional platforms with a social manufacturingapproach are emerging phenomena with less known business models. Given the valuable human resources and cultural capacities of Iran, there is a suitable opportunity for utilizing the multi-functional platform business model with a social manufacturingapproach for producing cultural products. The aim of this research is to identify and rank the dimensions and factors of these platform business models. Through in-depth interviews with 14 experts in this field and thematic analysis using MAXQDA software, data analysis was conducted in three stages: open coding, axial coding, and selective coding. After screening the results, 50 factors were identified in 10 dimensions using the fuzzy Delphi method. The impact and influence of these factors were determined using the fuzzy DEMATEL method, and ultimately, the factors and dimensions were ranked. The identified factors and dimensions assist stakeholders in the cultural product production field to better configure their current or future platforms, as well as helping investors make more informed decisions regarding this business model.

The purpose of this article is to model a synergistic valuation of integration and acquisition using Monte Carlo simulation and real option approach. Today, global competition has increased so much that relying on the firm's internal performance and strengths alone does not sustain and grow companies. With group synergy, they stand up against the threats of a competitive environment. In this paper, after describing the real discretion analysis method and its variants, we introduce the problem of stochastic optimization and Monte Carlo simulation in the period of 2009-2019. In this study, Monte Carlo simulation method is used to solve the problem numerically. The results of the estimation of the research model indicate that integration is a kind of growth in the activities and activities of the company that makes the activities of the company more diversified, including the strategies of companies to increase their competitive position and It is considered an important and strategic decision in financial management. The results indicated that both increased costs and revenue led to an increase in NPV of total synergies. The results also showed that the synergy of growth and improvement in corporate taxation led to an improvement in the synergy of borrowing, which increased the net present value of total synergy.

In recent years, studies on the paradigm of social Manufacturing and its applications have been developed as a new production paradigm and have led to the production of diverse and scattered knowledge in this field. Knowing the sub-fields, new topics and the research process of the social production paradigm can be of great help to researchers in this field. The current research has been carried out with the aim of identifying and categorizing research in the field of social Manufacturing, recognizing sub-fields and achieving a coherent view of its research process.This research has investigated the research field of social Manufacturing using bibliometric analysis. The data of this research was collected from 200 articles of the Scopus database and an analysis of the co-occurrence analysis of key words and bibliographic pairs was performed on them, and in this way the sub-fields and the research process of this field were identified.Based on the findings of this study, the research in the field of social Manufacturing has been categorized into 5 clusters and it has also been determined that in recent years, topics such as cloud computing, smart production, blockchain, Internet of Things, social physical cyber systems, innovation systems, society 5.0 and Digital twins have received more attention in research in this field. This research provides a framework of concepts and main topics of interest in the research field of social production, which provides a comprehensive perspective for researchers in this field that can help in choosing their research path.

The purpose of this research is to model the supply chain in the conditions of uncertainty from the point of view of Jihadi management. In this research, the modeling of the parameter after the crisis has been done.The importance and position of Jihadi management's view regarding critical conditions is one of the things that was considered in this research. In order to identify the weaknesses and bugs of the existence, from the point of view of the elite group with jihadi management in the field of cement industries, interview tools and content analysis technique for 7 people has been used.For the implementation of the model in larger dimensions, genetic algorithms, particle swarm optimization and simulation cooling were used, and according to the results of the implementation of the algorithms for different dimensions, the genetic algorithm has a higher quality.The reason for examining the role of jihadist management in this process is that in the conditions of uncertainty, the existence of a jihadist thought leads to effective decisions.Since Jihadi management perspective has been used in this research, this model can be designed and implemented in various industries where the time factor is important, and the appropriate supply chain in critical situations.

The authentic leadership role of the manager emphasizes the transparency, authenticity and honesty of behavior in the workplace and based on this, authentic leaders can establish strong and honest relationships with the employees of the organization. Therefore, in this research, the influence of authentic leadership and moral intelligence of managers in the management of technology selection has been investigated. In order to measure the variable role of authentic leadership of the manager in this research, the authentic leadership questionnaires of Valomba et al. (2008), moral intelligence questionnaire (Link and Keel, 2005); And the technology selection questionnaire has been used. After confirming the validity and reliability of the questionnaires, they were distributed among 300 people from the statistical population and collected after completion. Data analysis was done using structural equation method and Amos software. The results of the research showed that the authentic leadership role of the manager has a positive and significant effect on the choice of technology. Also, the manager's moral intelligence has a positive and significant effect on the choice of technology. Therefore, the moral intelligence of managers refers to the psychological capacity and understanding of managers in the correct application of moral-human principles to achieve organizational goals, and having and strengthening it will bring long-term and long-term individual and organizational success.

Integration of supply chain decisions reduces costs and delivery time to customers, but uncertainty in supply chain offending parameters, including demand, disrupts this integration. This demand uncertainty has led to an increase in interest in the use of probabilistic planning and simulation models in supply chain modeling. Therefore, the overall purpose of this study was to model and develop a multi-level, multi-product, multi-period supply chain network model with conflicting objectives such as cost minimization, delivery time minimization, and maximizing system-wide reliability. The supply chain network under study had 4 levels or subsystems of suppliers, manufacturers, distributors and retailers. In this study, it was assumed that demand is random and follows a probabilistic distribution function. Therefore, the simulation technique was used to estimate costs including shipping costs and lost sales costs and other costs. After developing a multi-objective model, for the studied problem, scenario building was done based on different perspectives on inventory levels (minimum inventory, maximum inventory and average inventory level) and based on each scenario, values related to the objectives were estimated. In the end, based on the Parthian answers obtained for each case of the model, based on Vickor decision-making method, the final ranking of the answers and selection of the best case from the proposed model was performed. The results showed that the second scenario, ie considering the average inventory level, was selected as the best solution for the described model

The purpose of this study was to investigate the relationship between managers' Overconfidence and Overinvestment on bankruptcy of listed companies in Tehran Stock Exchange. In this Study, to measure the managers' more trust, the profit margin criteria of each share were used with real profits, average capital expenditures and surplus investment in assets, and the number of 122 companies in the period of 1396-1390 as a statistical sample has been selected. The findings of the research show that there is a positive and significant relationship between managers' Overconfidence and Bankruptcy. In general, the results from the hypotheses suggest that managers more than trust the ability to assess their abilities, meaning that the more people have more information about or have some knowledge of, they will increase their optimism. If these people are involved in or contributing to the project, the results are less optimistic and the risk of the project less realistic and the projects on which they invest heavily, the units of investment with the net negative value projects that ultimately bring the company's capital to They waste. Consequently, companies may have fewer cash flows to deal with sudden accidents leading to bankruptcy. The effect of Overinvestment has also been positively assessed on the bankruptcy of companies.

Ethics is a requirement of all professions and organizations, maintaining a sustainable competitive advantage in an industry is also an issue that requires constant updating of existing technologies and the development of new technologies, in this study based on the relationship between technology selection indicators Competitive advantage was discussed with professional ethics.

The present study is a survey-applied type. The statistical population was employees and experts in downstream petrochemical industrial units in 2019, from which 104 people were randomly selected as a sample. The subject was a researcher-made questionnaire to assess the indicators of technology selection and professional ethics. Data analysis was performed using Amos 21 software and structural equation modeling.

The results indicate a significant positive and negative effect of technology selection indicators (technological factors, technical factors, financial factors, business factors, organizational factors and environmental factors) on the elements of professional ethics, level of ethical progress, organizational environment, was the center of internal and external control and observance of scientific laws and standards.

The important point here is the choice of technology based on the model in downstream petrochemical industrial units, but it is important to use a method based on collective wisdom and taking into account all the opinions of technology ethics experts by avoiding trial and error or waste of human resources.

Companies try to control risk by using risk management and its factors. Risk management is the process of measuring and then designing a strategy for risk management.This research includes four criteria investment risk And market risk and Country risk and liquidity risk, each of which has sub-criteria are addressed.Field data through a questionnaire tool And with the benefit of the opinions of experts and experts in the automotive industry has been used.The community of experts consists of 25 experts and Dimatel technique has been used to analyze the data.The results showed that the liquidity risk criterion has the highestImpact and investment risk criteria have the least impact.The following criteria have the highest impact on changing customer preferences .The appropriate market estimation sub-criterion is considered as the most effective sub-criterion.The liquidity risk criterion is in the first place and has the highest priority.Sub-criteria of market demand forecast and Structural changes in the economy and Complex competition in domestic markets is one of the highest priorities.

The purpose of this study was to design and explain the agility new product development cycle model in IKCO.This study, in terms of purpose, functional, in terms of approach, exploration, and in terms of data analysis, is mixed method. During this phase, the snowball sampling method was used and the process continued until the theoretical saturation of the researcher was reached and a total of 11 interviews were conducted. In the quantitative phase, all senior, middle and senior executives of IKCO Industrial Group were considered as the statistical population and 210 of them were selected by simple random sampling. In the qualitative phase of the research, because of the fundamental data theory approach, the main tool for data collection was in-depth, unstructured interviews with experts. In the quantitative phase of the research, SPSS and Lisrel softwares were used to perform descriptive and inferential analyzes. Finally, the research results led to the design of a agility new product development cycle model in IKCO (based on the paradigm model structure), and in a large community, hypothetical model relationships were tested and validated.

Experts and business experts believe that building and maintaining a strong entrepreneurial brand is critical to growing, sustaining and sustaining a business in today's competitive and complex environments. This study is an applied and explorative mix in terms of purpose and data collection. Semi-structured interviews, focus group and expert grouping were used in the qualitative part, and PLS software was used in the quantitative part of the structural equations. Accordingly, the components of rural businesses were first identified and proposed as a model. To evaluate the reliability of the research measurement model, factor loadings coefficients, Cronbach's alpha coefficients and composite reliability, convergent validity and divergent validity were used. The results show that the proposed model has two dimensions of market stimulus, housing context, context and entrepreneurship. According to the present research, in order to identify the effective factors of rural chain business development, it is necessary for each business, after recognizing its current status, to make strategic planning at all levels based on the dimensions, components and indicators of the present model. By developing a support structure, strengthening the optimal relationship with stakeholders, especially industry, by considering the role of settlements.

The aim of this study was to study the effect of local food on the experience of tourists by mediating role of perceived benefits of tourism. Identifying the diversity of local food tourism and its impact on the experience of tourists was one of the main motivations for this study. The present study is an applied research in terms of its purpose, and is a descriptive one in terms of its method and nature. After setting the goals and questions of the research, a questionnaire consisting of 21 questions was prepared and distributed among the participants of the study. Cronbach's alpha coefficient was used to calculate the reliability of the questionnaire which was shown to be very high. The statistical population of the study included all tourists who visited the city of Rasht in 1399. Due to these customers’ uncertainty and based on Cochran's formula at the level of 5% error, 384 people were selected as the sample of the study. The sampling method was random. To analyze the collected data and to determine the relationship between the variables of the study, structural equation modeling technique was used. Also, the obtained data were analyzed using the SPSS and SMART PLS statistical software. The results showed that local food has a significant and positive effect on the experience of tourists by mediating the perceptual benefits of them. Local food has a significant and positive effect on the perceptual benefits of tourism; it has a significant and positive effect on the experience of tourists. Lastly, perceptual interests of tourists have a significant and positive effect on the experience of them.

The main purpose of the study is to explore the important issues and their relations to present a pattern for design and development process of financial services with a competitiveness approach in Iran banking industry. The study applies mixed method as its methodology. The qualitative section approach is based on Grounded Theory strategy. The data-collection instrument consists of semi-structured interview with twelve research and innovation experts and managers in banking industry selected through purposeful as well as snowball sampling. Dimensions and components of design and development process of financial services were extracted and compiled in a Grounded Theory conceptual model. The main phenomenon, process design and development services in the field of banking. Lastly, the final model were formulated and presented with regard to casual, intervening and contextual conditions as well as strategies and results. In quantitative section, the data was collected by a researcher-made questionnaire consisting of 236 items and the descriptive-survey method was used for analysis and explanation of proposed pattern. Finally, the findings of the study shows that the managers and policy-makers of banking industry should consider all casual, intervening and contextual conditions as well as strategies and outcomes for successful development of banking modern products and services; They also should step into the identified phases of modern service development with a competitiveness and market-based approach.

Achieving a clean environment along with economic growth and welfare is one of the aspirations of any modern society. Nowadays, researchers have accepted the correlation between the scopes of business and environment because entrepreneurship activities have been acknowledged as a significant driving force for economic, social, and environmental sustainability. A review shows that the entrepreneurship literature has experienced rapid growth, with many developments reported on a broad spectrum of topics. Nevertheless, one of the main concerns of the authors of present contribution is the nexus of entrepreneurship and the environment. Indeed, recognition of research opportunities in relation to the green entrepreneurial orientation concept can largely contribute to the theoretical development and empirical studies in entrepreneurship and environmental science. So in the meantime, the mysterious concept of green entrepreneurial orientation has become a very attractive research topic. In this research, the literature related to the nexus between the fields of entrepreneurship and the environment with a Meta synthesis approach has been studied. Accordingly, in the present article, after a thematic and content review of 141 sources, 25 factors were identified in the form of eight concepts and two categories, the weights were determined by the modified Shannon entropy method. In this regard, the most important factors affecting the entrepreneurial orientation of green businesses are: "Type of industry", "Financial support, rewards and incentives for green entrepreneurial actions", "Social networks", "Green entrepreneurship for economic benefits", "Social norms about the environment" and "Commitment, attention and knowledge of managers or owners to the environment.

The present research aims to make a model for product design and development process (PDDP) based on the smart economy paradigm in the banking industry.The qualitative section approach is based on Grounded Theory.The data-collection instrument consists of semi-structured interview with twelve research and innovation experts and managers in banking industry applying purposeful as well as snowball sampling.Findings show that the final model consists of 6 main dimensions36 components and 236 indicators.The central category is the stages of the product design and development process in the field of banking which in six dimensions determine the goals and strategies of the PDDP ideas management,PDDP analysis, product design and processes, business development acquisition, performance management and upgrade during the product life cycle and according to causal conditions, intervening conditions, contextual conditions, strategies and results were. Among the research results is the application of smart economy strategies in the PDDP in the country's banking industry.In quantitative section,the data was collected by a researcher-made questionnaire consisting of 94 items and the descriptive-survey method was used for analysis and explanation of proposed model. The quantitative results indicate the verification of the model relations with an appropriate impact factor as well as its consistency with qualitative-section results

The main purpose of the present research is to provide a model for the effect of uncertainty about the inflation rate and more trust of managers on the increase in investment. This research is considered to be a practical part of the research. Also, this methodology is post-event research. On the other hand, the present study is of descriptive survey type correlation based on regression equations. The statistical population of this research includes all financial distressed companies listed in Tehran Stock Exchange between 1390 and 1396. Considering the systematic constraints, the statistical sample of 122 firms among the companies accepted in Tehran Stock Exchange Selected and studied. The results of the analysis showed that in the uncertainty of inflation conditions, the level of double investment of companies is not increased. Also, the results showed that the uncertainty of inflation does not reduce the trustworthiness of corporate managers. On the other hand, the results show that managers with a higher level of trust are more interested in investing twice. Finally, under the uncertainty of inflation, managers with a higher level of trust than those with lower confidence, do not pay more double investment.

The main purpose of This research ptovide asuitable model for financial risk management in the automotive industry using fuzzynetwork analysis process. In this study 13 variables from the identified variables were approvedby experts and specialists. The statistical population of the present study is the managers and specialists of irankhodro and saipa companies. The tools used in this study to collect data and in formation through a questionnaire and the opinions of experts and experts in the automotive industry have been used. The community of experts consists of 25 experts and the technique of fuzzy network analysis process has been used to analyze the data. Bby analyzing the data in the fuzzy network analysis process technique, it was found thet among the 13 identified variables affecting financial risk in the automotive in dusstry,liquidity risk is the criterion . which is the most effective among financial risks and is in the first place and has the highest priority. And bel0w the criterion of forecasting market demand and structural changes in the econpmy and the complex competition of domestic markets, respective ,have the highest priority.

The purpose of this research is to analyze the role of foresight in existing patterns of critical decision-making techniques and gray theory of research in soft operations using the philosophical assumptions of paradigms and ultimately to determine the appropriate strategy based on these components in order to maximize success and longevity. It is gray and decision-making strategies. According to the results obtained from the experts' opinion of the Critical Uncertainty Questionnaire, four uncertainties of the research were identified and the scenario design criterion was identified. Each of the four modes including low attention to social issues versus high attention to social issues, low attention to ethical models versus high attention to ethical models, low attention to soft approaches to high attention to soft approaches, Paying little attention to complex issues versus paying close attention to complex issues represents a specific dual situation in the future. Each of these dual situations reflects uncertainty about the future of multi-criteria decision-making and gray theory. Based on these uncertainties, three scenarios were identified. These scenarios include Achilles' heel, Phoenix, Xacht's heel. The philosophy of past and future approaches in this field was also reviewed and criticized.