نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 54 (زمستان 1399)

The main purpose of this study is to identify and prioritize the indicators affecting the Supplier’s selection in LARGT and Sustainable Supply Chain in the Food industry of Shahrekord industrial town using Delphi Mhetod. To this end, data were collected in two stages (qualitative and quantitative) using the Sequential Exploratory method. Initially, reviewing the research literature, the components were identified through structured and semi-structured interviews with 11 academic executives and experts selected by theoretical sampling. 14 panelists reached a consensus on the components of LARGT and Sustainable Supply Chain in the qualitative section after four rounds using the Delphi technique and the validity of the qualitative section was also confirmed by Kendall’s Coefficient of Concordance (k=0.61). The quantitative data analysis method was done in two descriptive and inferential statistics through SPSS and Lisrel software. The panelists identified key components in several formats including 123 key concepts, 26 sub-criteria and 6 main criteria which were Lean, Agile, Resilience, Green, Talent and Sustainable which the highest score of Freedman is related to Sustainable criterion with the value of 5.29 and lowest score was for Resilience criterion with the value of 2.25. The research value is due to the content (using six approaches simultaneously).

Data envelopment analysis is used as a suitable tool to estimate the efficiency of companies that use production technologies with multiple inputs and multiple outputs. Classical data envelopment analysis models often do not provide accurate information about the status of units to managers and organizational policymakers due to the low resolution of units. In this research, the basis of the BCC model is the output oriented of data envelopment analysis and in order to increase the discriminate of efficient decision-making units from inefficient, the ideal data envelopment analysis model based on BCC was used and then to increase the resolution Decision Making Units A new model called the Modified goal Programming Model of Data Envelopment Analysis based on output-oriented BCC was used to measure performance. In this study, the management of Ghavamin Bank branches across the country was evaluated. The results of the research show the discriminate power of the modified goal programming model of data envelopment analysis based on output-oriented BCC compared to other data envelopment analysis models. So that out of 32 managements under review in Ghavamin Bank, the management of branches in the west of Tehran was identified as efficient using this model and the rest of the managements were found to be inefficient.

Today, entrepreneurship is known as the engine of growth and development of organizations and societies, so organizations are required to develop various policies to create, support and develop entrepreneurship. In this research, the effective factors of formulating entrepreneurial policies in Sepah Bank as the oldest and one of the commercial banks in Iran are identified and prioritized. This research will be done in two qualitative and quantitative stages. In this way, first, by studying the library, various policy models with its factors will be identified. Then, through interviews with banking and academic experts in the field of policy development, the main factors of policy development in Sepah Bank were identified and finalized. In the following, the Fuzzy Hierarchical Analysis (FAHP) method prioritizes the components and sub-components in the formulation of entrepreneurial policy, so that the research results indicate that for the components "process" and for the sub-components "Information" are the first priority.

tartups are the engine of the economy and the development of these businesses has a major impact on economic growth. To transform a startup into a powerful business in the business environment, finding an investor is a vital step that can drive startup companies to grow and expand. In this way one of the major challenges of the founders of the emerging business is to attract investors to invest in supporting new ideas. To achieve this, by identifying the key factors affecting the success of emerging businesses based on the results of previous research, and using simulation models, different policies and scenarios can be made before implementing in an environment Laboratory test and scenario where the results of its implementation are justified in terms of investment. In this paper, the generic model of system dynamics presented by Huang and Konk (Xiaojun Huang, Martin Kunc, 2012) is intended as the base model. By defining a new variable, market attractiveness, the model is developed and various scenarios that are followed by the founders of startups have been evaluated. The simulation results indicate that increasing the attractiveness of the market will lead to an increase in potential customers and the process of converting it to actual customers

Organizations outsource some of their services to achieve benefits such as reducing costs and focusing on their core activities. Despite the important strategic advantages of outsourcing in the service sector, there are many problems. Many researchers have done research focused on service receiver to solve these problems. This research seeks to explain the model of partnership quality in outsourcing services with the grounded theory approach from both sides of outsourcing contract in Isfahan Gas Company. Data were collected through semi-structured interviews. Through purposeful sampling method, 35 managers, employees and 17 contractors were interviewed for data collection. Data analysis was performed in three stages of open, axial and selective coding and the qualitative model of the research was extracted. The concepts and categories extracted in the last step are presented in the form of pivotal phenomena, causal factors, contextual conditions, intervention conditions, strategies and outcomes. The result shows the extraction of more than 105 codes of interviews as well as the identification of 24 concepts and 15 subcategories and 6 main categories presented in the paradigm model. According to the results of this study, the most important operational strategies are empowerment, standardization and technology improvement to achieve partnership quality in services outsourcing.

The most important reason for identifying the main indicators and calculating the efficiency of knowledge management performance in the oil industry is to maintain and classify the existing knowledge and create a strong global competitive advantage by making progress in developing production methods with new technology based on improving technical knowledge. The most important parameter of performance evaluation is efficiency; there are different methods to measure it. Data envelopment analysis is a powerful tool for calculating system efficiency, including knowledge management performance in the oil industry. In this research, the main indicators of knowledge management were identified using library resources and practical publications. By surveying the employees of oil industry companies with data envelopment analysis and hierarchical analysis techniques, the efficiency of knowledge management performance was calculated, which can be used to rank the companies and planning to improve their knowledge management level. According to the results, the National Refining and Distribution of Petroleum Products Company has acted at higher level than other companies and has a good competitive advantage with its global competitors. The present study is the first study that has calculated the efficiency of knowledge management performance of four main Iranian oil industry companies with data envelopment analysis.

Value creation in the process of entrepreneurship development is an important issue and according to the emphasis of the country's macro programs on entrepreneurship through knowledge-based activities, in this study we seek to design an appropriate model of entrepreneurship development based on value creation of knowledge-based companies. The present study is applied in terms of purpose or audience and descriptive-survey in terms of data collection. To identify the key factors in the value creation development process, the library method is used, ie reviewing scientific articles and texts, and the field study will be used to distribute the questionnaire in order to prioritize these factors using the best-worst method. Finally, a formula is used to calculate the incompatibility rate in order to verify the validity of the relevant comparisons. The statistical population of this research is experts and business specialists and managers of university knowledge-based companies across the country. ANP fuzzy multi-criteria decision making models were used to determine the priority of research criteria and indicators..The results of the present study show that, in the first rank (entrepreneurial self-confidence), in the second rank (using the opinions of experts), in the third rank (allocation and lending), in the fourth rank (directing loans and facilities to production), in rank fifth (intellectual capital management), sixth (human resource management), seventh (value creation model for the development of startup entrepreneurship) and eighth (knowledge acquisition). Keywords: value creation, entrepreneurship, knowledge base, entrepreneurship development

Today all economic activities are engaged in competition, so every economic enterprise is trying to create a competitive advantage in the hospitality field this concept is of special importance. The brand's special value and the consumer attitudes are two key factors in creating competitive advantage, therefore, in this paper, the effect of brand-specific value on competitive advantage with consumer attitudes toward advertising and with an applied approach in five-star hotels in Kish is investigated. Were extracted based on theoretical foundations of conceptual model. Data were collected using a questionnaire consisting of 25 questions. First, the questionnaire was confirmed by the experts ' viewpoints in terms of content validity. Then, construct validity was performed using confirmatory factor analysis technique. Cronbach's alpha coefficient and composite reliability were calculated to assess the reliability. Cronbach's alpha coefficient of 859.0 questionnaire was calculated and the CR value of all variables was obtained above 7/0. The statistical population of this study consisted of all passengers of five star hotels in Kish, and the questionnaire was assigned to 490 passengers. Structural equation modeling and LISREL software were used to test the research hypotheses. The results showed that brand awareness, consumer attitudes toward advertising, perceived quality, brand loyalty, and brand Association have an impact on competitive advantage. Also, the results showed that the brand's special value on the consumer attitudes to the advertisement has a positive and significant impact, and the consumer attitude toward advertising has a mediating role in the relationship between brand value and competitive advantage.

According to the increasing role of competition among insurance companies in achieving greater market share, insurance companies are forced to seek methods for increasing customer satisfaction and loyalty. The insurance companies pay special attention to the provided service quality and thus the duration of service delivery plays an important role in customer perception of service quality.This study attempts to design a model for increasing customer satisfaction and its effect on the market of insurance sales by using simulation paradigms. The present study is descriptive in terms of purpose because it tests the relationship between the declared variables during the research in a particular community and in terms of method, a quantitative study based on the mathematical modeling approach with combined simulation paradigms using Anylogic software. The research findings show the designed model is matched with the real world, which means the output data is accurate and valid. After relating the Discrete Event Simulation Model by identifying the interaction points with the System Dynamics Simulation Model, the mixed scenario in increasing sales has been implemented. Considering the Discrete Event Simulation Model and System Dynamics Model are implemented interactively with each other at the beginning of the simulation model, so due to high rate of customer satisfaction, the input rate is raised by the System Dynamics Model and percentage of employee performance is increased. As the number of dissatisfied customers increases over a period of time, the input rate is reduced by the System Dynamics Model until the system is finally balanced.

We always face a range of ambiguity, uncertainty and risk in variables in qualitative, non-numerical and expert-centered issues. The root of this ambiguity can be in the variable itself or other variables related to it and the statements of experts. Fuzzy cognitive mapping is one of the common models for better understanding of problems that pays attention to the cause-and-effect relationship between variables. When dealing with problems where the numerical data associated with it are not available or the nature of the problem is qualitative, perceptual mapping is made by experts. One of the problems of using the common cognitive mapping model is not considering the uncertainty, risk and error in the opinions of experts. This problem affects the quality and validity of models created in complex problems. In this paper, in order to help understand the problem correctly and eliminate uncertainty, ambiguity and risk in experts' comments on variables and cause-and-effect relationships between them, the combined approach of Z-number and R-number in fuzzy cognitive mapping has been used. The proposed method in this article, by considering optimistic, pessimistic and neutral experts, has modeled the cause-and-effect relationships between strategies affecting the empowerment of individuals in the health system. The proposed approach of this research can be effective as a decision support method in issues that are qualitative and expert in nature.

The purpose of this study is to investigate the resilience of the supply chain in the transportation of goods by postal companies in critical situations. For this purpose, after reviewing the literature and research background and interviewing experts, 14 resilience indices were extracted and questionnaires were distributed and collected among 98 postal customers. Preliminary data analysis was performed through SPSS software and principal component analysis and exploratory factor analysis. After varimax rotation, the variables with eigenvalues greater than one and factor loads greater than 0.55 were identified and explained the highest correlation and variance. Finally, six hidden factors were obtained. Also, in order to obtain the relationship between indicators and factors and the internal relationship between indicators, through MATLAB software, all super matrix calculations, weighted matrices and partial matrices have been performed through the network analysis process method. Finally, the value of the importance of each factor and the importance of the relative coefficient of each index are calculated, in which the insurance of the goods is the most important factor and the timely delivery of the goods is the most important indicator.

Climate change and environmental impacts of economic activities, have forced supply chains to implement green policies and reduce environmental impacts and destruction to achieve competiete advantage. One approach to achive simultaneously to the economic and envitonmental objectives is to design closed loop supply chain networks (CLSCN) that integrate reverse logistics into their forward paths. In this paper, a bi-objective mixed integer linear programming model was developed for the CLSCN problem. The first objective is to minimize the cost function and the second objective function tries to minimize the time of transferring products from manufacturers to the distributors. Lp Metric and ε -constraint methods were utilized to solve the model. A numerical example was presented to show the applicability of the model and also sensitivity analysis was done. In this model two parameters of cost and demand are uncertain, in order to deal with uncertain parameters a robust optimization approach was utilizec. Multi objective particle swarm optimization (MOPSO) was used to solve the model in lare scales ad the solutions were compared with the solutions that obtained by exact methods. the findings of this research can help decision makers and executives to design efficient closed loop supply chains.