فهرست مطالب مهدی نصراللهی

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 general, the use of organic food has an essential role in food security and the health of the community, which requires proper information and awareness, so the question arises of how to identify the potential and actual capacity of organic food production, especially in the city of Tehran which provided the ground for its development and prosperity. In this research, effective factors in the viral marketing of organic food have been identified, modeled, and weighted. By reviewing 90 scientific papers using the Meta-synthesis approach affecting factors were identified. Then the TISM based on experts’ opinions was used to determine the model. Finally, by implementing the FANP, ranking and determining the importance of the factors done. Based on the analysis, it was determined that nine factors affect the viral marketing of organic food. These factors were classified in an interpretive model with five levels. The first level is the market conditions, the second level is the target society, the third level is technology and price, the fourth level is the consumer, the presentation method (implementation), and value creation, and finally, the fifth level is desire (motivation) and trust. Also, using FANP, it was determined that the presentation method, the value of the message, and the consumer are the most important, and the factors of price and market conditions were ranked second. This result shows that in attracting the customer, the necessary information should be given to the customer so that he has full knowledge of the product.

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.

Digital readiness is a tool for evaluating an organization’s up-to-date status based on its goals. It serves as a structural tool for business management and acts as a reference framework for digital transformation objectives. The first step to determining the model and measuring an organization’s digital readiness is to identify the criteria specific to the structure and culture governing that organization.

This research employed both qualitative and quantitative approaches. In the qualitative part, a background review identified the primary criteria influencing digital readiness, which were then screened by experts using the fuzzy Delphi method. In the quantitative part, a survey of expert opinions and fuzzy hierarchical methods, fuzzy DIMATEL, and maturity level revealed existing relationships between the criteria and influential factors. The criteria’s weight, the degree of effectiveness of the criteria in presenting the model, and the digital readiness level of the university were assessed. The research population consisted of 12 managers and senior experts with experience and knowledge in the information technology department of Imam Khomeini International University in Qazvin.

The results revealed that 15 criteria, grouped into five main factors, impact the organization’s digital readiness at Imam Khomeini International University. These criteria were ranked using the fuzzy hierarchical analysis method, resulting in a digital readiness model for the university. The level of digital readiness was then determined.

The criterion of top-management support for digitization projects carries the most significant weight. A comprehensive cause-and-effect model was drawn using Fuzzy DIMATEL. The managerial readiness standard at Imam Khomeini International University in Qazvin is in good condition; however, the technical infrastructure readiness is not satisfactory.

With increasing environmental concerns from consumers, governments, and communities around the world, manufacturing companies are seeking to develop eco-friendly programs such as green product development, green brand and technology. Current research focuses mainly on the impact of quality management on overall innovation and the inconsistent findings, and the impact of quality management on green innovation or sustainability opportunities has rarely been investigated. The purpose of the present study was to investigate the impact of applying a quality management system with a moderating role on green innovation. The present study is applied in terms of purpose and in terms of descriptive-survey data based on structural equation modeling. The statistical population of this study includes the staff and managers of Iran Electronic Industries Company. Data collection tool was a questionnaire. To assess the validity of the questionnaire, divergent validity, convergent validity, and PLS software were used. Cronbach's alpha test was also used to determine the reliability of the questionnaire, which was higher than 0.70 for each of the variables, indicating that the reliability of the questionnaire was confirmed. It shows that the use of quality management system has a significant effect on the role of environmental regulation on green technological innovation, green product innovation, green process innovation, green management innovation.

Advertising and packaging are stimuli that affect the consumer buying behavior. The intention to buy immediately is an opportunity to attract customers and is the best time to communicate with consumers. Since from the customer point of view when buying instantly, there is not just one brand of the product and competitive products are also present, in addition to advertising and packaging at the time of instant purchase, brand equity is very influential on the consumer's intention to buy. Therefore, while identifying and distinguishing the impact of advertising and packaging on the immediate purchase intention of consumers, researchers in this study have established the mediating role of brand equity. The purpose of this study is to identify the effect of advertising and packaging on the immediate purchase intention of consumers of herbal drinks and the mediating role of brand equity. Based on this, 384 questionnaires were distributed among the customers of herbal teas. To test the hypotheses, the structural equation modeling method was used using PLS software. The results showed that advertising and packaging have a positive effect on consumers' immediate purchase intention. Moreover, the mediating role of brand equity in the relationship of advertising and packaging with immediate purchase intention was confirmed.

In this research, a closed-loop green supply chain network is designed under uncertain conditions. In the proposed model, four objective functions including minimizing network costs, minimizing greenhouse gas emissions, minimizing production-technical risk, and minimizing the time of sending products to customers are considered simultaneously. Using the proposed network, it is possible to manage the flow of raw materials, first-hand products, and return products between facilities, production planning for each production center, how to allocate products to each facility, determine the number of manpower required for employment and training in each production center, how to allocate machinery and equipment, as well as time management by determining the minimum acceptable time to send products to customers so that the network has the least cost, the least amount of greenhouse gas emissions from the operational processes of facilities and transportation and has made strategic decisions with the least production-technical risk and the least time possible. In this research, to increase the efficiency of the model, parameters such as the amount of return product, recycling rate, and destruction are considered indefinitely and fuzzy logic is used to eliminate the uncertainty. Finally, due to the breadth of the model, the model is validated using a genetic algorithm. The result of the validation indicates the efficiency of the proposed model in optimizing the closed-loop green supply chain network.

Over the last few years, the emergence of new technologies and the enormous changes in global markets have made supply chain management increasingly essential, supply chain of agents and organizations ranging from product (service) to end-use and even open cycle. The purpose of this study is to investigate the enabling effects of using sustainable supply chain management and its impact on the competitive advantage of Iranian companies. The statistical population of this study consists of managers and employees of small and medium-sized companies located in industrial estates of Tehran province. Data collection tool was a questionnaire. To assess the validity of the questionnaire, divergent validity, convergent validity, and LISLER are used. Cronbach's alpha test is also used to determine the reliability of the questionnaire, which is higher than 0.79 for each of the variables, indicating that the reliability of the questionnaire was confirmed. The findings indicate that enabling the use of sustainable supply chain management has a significant impact on the competitive advantage of Iranian companies. Given that the variables of the research findings indicate that the enablers of using sustainable supply chain management and its impact on the competitive advantage of Iranian companies have a significant impact, we can use the different approaches presented in the proposals.

Implementation of supply chain knowledge and its management is one of the important steps in the end-user production and consumption cycle of a product or service. The purpose of this study was to investigate the factors affecting inter-organizational cost management in supply chain in Iran Khodro Company. The research is applied in terms of purpose and descriptive-survey method. The population of the study consisted of managers and supervisors of Iran Khodro, among whom 285 individuals were selected by simple random sampling. Data were analyzed using SPSS and LISREL questionnaires. Cost management is a form of management accounting that predicts costs by reducing the likelihood of a budget being added. Many businesses use cost management plans for specific projects and overall business models. Cost management helps identify, collect, classify, and assign information that is used in planning, control, and decision making to maintain optimal cost ranges. Findings show that supplier commitment, supplier trust, internal cost management, absorption capacity and internal systems integration influence inter-organizational cost management. Internal cost management and the integration of internal systems affect the absorption capacity. Internal cost management and the integration of internal systems with the intermediary role of absorption capacity affect the management of inter-organizational costs.

Livestock industry as one of the sub-sectors of agriculture in the world has a significant growth and its entrepreneurship in job creation, value creation, human nutrition, human and community health and in general its irreplaceable role in the economy has always attracted the attention of governments. In our country, despite the protections defined in the laws, this industry is still in a tight spot due to the lack of infrastructure, lack of coherent and sustainable management, superficiality of basic and macro issues and lack of prioritization in planning, and has faced activists with some ambiguity about the future. While with the current investments, capacities and potentials and existing facilities, it is possible to lead the curve to more growth and excellence by reforming the infrastructure, facilities and credit support from the government and culture building. Therefore, proper planning in this area requires strategic and forward-looking decisions. For this purpose, Future Study approach was used to formulate future scenarios for the livestock industry in Khorasan Razavi province and the critical uncertainty method, which is one of the common techniques for extracting key factors, was used. In the next step, DEMATEL method was used to determine the interactions of key indicators. The scenarios of the present study were developed based on two macro-policies of government and climate which are scenario 1, scenario 2, scenario 3 and scenario 4. Finally, Using the Moora method, the most probable scenario, which is scenario 4, was determined, in which both the amount of precipitation is reduced and the government's macro-policies do not move towards optimism and productivity.

The main purpose of this study was to investigate the relationship between transformational leadership, project participation, project abandonment and employee perceptions of employer safety commitments. This study is applied in terms of purpose. Also, the present research is in the nature of descriptive correlational research in terms of nature and method. The statistical population in this study is managers and staff active in oil and gas projects. Accordingly, random sampling was used in this study. The sample size of this study is 384 according to Morgan table. The data collection tools used in this study included Ding et al (2017) and Mullen et al (2017) questionnaires. The items in these questionnaires were designed based on a five-point Likert scale. Confirmatory factor analysis was used to analyze the findings of the present study. The findings of the study showed that from the viewpoint of the respondents, transformational leadership had a significant impact on project participation; desire to quit the project and employee perception of employer safety commitment. In fact, this research shows that changes in project participation levels, project abandonment, and employee perceptions of employer safety commitment can be explained and interpreted by transformational leadership and leadership styles, and organization managers should pay more attention to use and Implement transformational leadership style.

Nowadays, none of the industries are willing to have accidents in their workplaces and use different tools in this regard. One of these tools, which is capable of identifying risks and inappropriate situations, is risk analysis. Due to the importance of job risk prediction and reduction of occupational injury in this study, job risk prediction using different neural network algorithms has been investigated. The purpose of this research is in the field of applied research and in the way of conducting it is in the field of causal and survey research. Accordingly, the test database consists of 119 incidents in past year. Next, due to the high accuracy of the neural network algorithms on the database, it can be concluded that the database has sufficient reliability, in that the Dynamic ANN algorithm has the highest accuracy (76%) in predicting occupational injury. Also, based on the results, the most important criteria affecting the risk of day-time occupational injury, the type of accident and the hazardous situation involved in the accident. This research could have practical application to Azarab, as the company can put all the vulnerabilities together and predict the risk of each of these situations by implementing a neural network algorithm and accordingly offer Take risk control instructions.

Today, many brands when investing enormously make great efforts to build a stronger relationship with their customers in the online community. Often, these communities start with social media where customers ask about their experiences and questions about the brand. The purpose of this study is to investigate the impact of improving brand relationship performance through customer engagement and value creation on social media. The purpose of this study is practical and in terms of data collection method is a field research. The research method for the research design is also post-event. The statistical population of this study was 384 customers of the online shop of Citizen of Bihaghi Branch. Structural equation modeling method was used to analyze the data. The results showed that a higher level of customer engagement leads to greater performance value. A higher level of customer engagement also results in a greater emotional value. However, a higher level of customer engagement is positively related to the perception (perception) of greater communication value. Higher levels of customer engagement are also positively related to perceiving greater compatibility value. But performance value did not have a positive effect on brand relationship performance. Also, emotional value did not have a positive effect on brand relationship performance. Then the relational value will have a positive impact on the performance of the brand relationship. Adaptation value will also have a positive impact on brand relationship performance.

Designing and implementing a quality management system in organizations can improve the performance of organizations if it is based on specific organizational conditions. Studies of quality management systems show conflicting results of the success and failure of these systems and their impact on improving the performance of organizations. The purpose of this study is to investigate the effect of quality management systems on organizational performance. The present study is descriptive-analytical in terms of data collection and is applied regarding the purpose. The statistical population of the study includes managers and employees of Pars Khazar Home Appliances Manufacturing Company and the data collection tool was questionnaire. The validity of the questionnaire was approved using divergent validity and convergent validity tests in PLS3 Smart software and Cronbach's alpha test was used to determine the reliability of the questionnaire. The Cronbach's alpha value for one of the variables was higher than 0.70 indicating the reliability of the questionnaire. The research findings show that quality management systems have a significant effect on organizational performance (P-Value = <0.05). Based on this, these effects can be increased by using different methods presented in the suggestions section.

In recent years, global concerns about environmental and social issues have made consumers, government organizations, companies and universities more active, and their focus has increasingly been on the design of the supply chain network as the most important part of the supply chain. The main objective of this paper is to present a supply chain modeling model for Hamadan Glass Manufacturing Company considering the dimensions of sustainability.

In this paper, a Fuzzy Multi-objective Mixed Integral Programming is presented to design a closed loop supply chain under uncertainty conditions in order to minimize environmental impacts and maximize social impacts and economic benefits. In this model, both the constraints and the parameters of the problem are fuzzy, which is determined by the Jimenez method, and the algorithms of NSGA-II and MOPSO have been used to solve the model.

The proposed model was solved with two multi-objective genetic algorithms and multi-objective particle swarm optimization, and the necessary comparisons were made between the results. Finally, Pareto's solutions were determined. According to the results, the two algorithms differ in the time criterion that the NSGA-II is superior to MOPSO. Also, there are two different algorithms in the MID standard that MOPSO excels over NSGA-II and does not have any significant superiority over the remaining criteria.

Based on the results of the research, simultaneous consideration of economic, environmental and social dimensions and uncertainty in some parameters such as demand and returns lead to improved supply chain performance in terms of profitability and customer satisfaction.

Nowadays rivalries in the global marketplace have made companies to better design and manage supply chain. Supply chain management emphasizes on integrating its members due to the fact that decisions related to it should not be made independently in order to optimize and enhance efficiency. The primary purpose of this research is to develop a stock model, which is exposed to any interruption or danger, to formulate a strategy for replaceable products to decrease danger of fall of the supply chain. The present research is applied type in terms of purpose and survey kind in terms of data collection. The research population consists of active foodstuff producers in Qazvin province among which Mahram company has been chosen as a sample to do research on. This research is based on the fact that, in case of any poor facilities, some products might be available for customers. Also, it is presumed that some products might be replaceable with some others in case of any trouble to meet the customers' need. This problem was planned by an algorithm which is a nonlinear integral number to which a compound algorithm based on TS and VNS has been applied. Comparing compound algorithm with genetic algorithm showed that the recommended method was so effective. The digital results show the profound effect of product replacement strategy in decreasing the total expense of supply chain.

Resilience is one of the most important factors against different types of disruption to maintain organizations survival and their supply chain. In the meantime, firms with high resilience, remain stable in supply chain disruption situation. Therefore, this study is proposed to investigate the factors affecting firms resilience to maintain their optimal status in the disruption situations.
This study in terms of objective, is an applied one, and is a descriptive-analytic research in terms of type and nature of research, and it is a sectional survey in terms of method. The required statistical data were collected by the use of simple random sampling method and distributing questionnaires among 180 managers of Alborz industrial town`s. In order to analyze the data we used the Structural Equation Modeling Smart Pls and SPSS software.
Outcomes indicated that in low disruption situation, involved factors in supply chain disruption orientation, knowledge management, human resources strategy and dynamic competitiveness are affected by the firms resilience. However, in these circumstances, the resources reconfiguration and organizational innovations have no mediating role. Also, in high disruption situation, resources reconfiguration, knowledge management and dynamic competitiveness have a significant and direct effect on firms resilience. On the other hand, resources reconfiguration has a significant mediating effect on the relationship between the supply chain disruption orientation and firms resilience. But, organizational innovation has no mediator effect on the relationship between knowledge management and firms resilience.
The conceptual model of study is new and based on investigated which we did in several studies.

The purpose of this study was to investigate the role of the knowledge management system in open innovation and knowledge management capacity in IOT in home appliance manufacturers. The statistical population includes the production experts of Arj, SNOWA and Electrostyle companies. Stratified sampling method was used for sampling and 315 individuals were considered as a sample. The method of this research is applied in terms of purpose and in terms of data collection method is a correlational survey. The data collection tool was a standard questionnaire. Descriptive and inferential statistics (structural equations) were used to describe and analyze the collected data. The results showed that technological innovation and organizational factors influence knowledge management. Knowledge management also affects open innovation, innovation capacity and knowledge management capacity, and knowledge management capacity is influenced by open innovation and innovation capacity, and open innovation affects innovation capacity.

The economic, industrial, social and cultural conditions of Iran are in a way that solving different problems requires new patterns and solutions. Broiler chicken farming is one of the country's most important agricultural sub-sectors, which has a substantial role in agricultural production and employment. Considering that productivity plays an important role in economic activities, it is important to determine the productivity and effective factors on it. Therefore, in this research, firstly, the most important criteria affecting the productivity of the factors of production in the broiler chicken industry were identified using experts' opinions. Then, using the best-worst-fuzzy method, these criteria were weighted. For this purpose, 260 questionnaires were given to the broiler production units of West Azerbaijan province through the available sampling method; and after data collection, the data analysis were done on 209 usable questionnaires. The results showed that a total of 21 indicators affected the productivity of the factors of production in the broiler industry, standing within the four main categories of human resources, costs, capital, and materials. The most important indicator was found to be the live poultry selling price, followed by the indicator of breeding period. Finally, it was suggested that identifying such criteria would lead to more effective ways to improve productivity.

Today, the development of social networks has affected many aspects of life, so studying social networks can help businesses in many cases. On the other hand, research and development is important in companies and especially in the company being studied. This research, considering the importance of the two issues of social networks and R & D, explores the relationship between social networks, technology relations and information security efficiency with the performance of research and development projects at the Development Company of MAPNA. For this purpose, a questionnaire of 19 questions was distributed among 196 employees of the company and the results were analyzed using PPS software. Research results have shown that social networks have a positive impact on R & D performance and information technology relations, as well as the protection of information and technology relationships can also have a positive effect on the performance of research and development.

Sustainable development of business cluster is one of the most effective approaches to developing small and medium industries. In our country, there is not a comprehensive model of sustainable business cluster development. This is despite the fact that many successful experiences in the development of clusters have been achieved that, while fitting with the native conditions and the business environment in our country, has led to sustainable development in various clusters. Therefore, the present research seeks to provide a model for the sustainable development of business clusters by applying the theory of data base and modeling of structural equations. In order to collect the required data, 18 of the development perpetrators were interviewed. The sampling method was theoretical sampling method. Following the coding steps, the final model of the research was obtained. The model derived from the Fundamentals Data Theory Method was tested using structured equation method to model the model in other clusters and ensure its reliability. The scrolling results of the model illustrate the complete validation of the model derived from the data theory method. The results of the research show that in order to develop sustainable business clusters, a systematic and comprehensive view should be taken that the model presented in this study, while having a systematic and comprehensive approach, will be successful in developing the resulting clusters. It is tailored to the business environment and conditions in our country and a native and functional model.

The aim of this research is to study the effective factors on the selection of collaboration strategy among startups and brands. The managers and experts of knowledge-based companies in Qazvin Science and Technology Park, and also, some of the active brands of Qazvin industrial towns are considered as the statistical population of this research. The number of required samples was 80 persons regarding Morgan Table. Researcher-made questionnaire, based on indices mentioned in Kohler article (2016), is compiled to gather the data, and T-Student & Freidman methods are applied to test the hypotheses. Findings show that the degree of conformity between the brand and startup goals, the time of startup establishment, and the variety of innovative ideas are effective on the selection of collaboration strategy. The startup’s need to new channel for products distribution and to enter new markets, and the startup managers’ desire to increase the credibility of their companies, influence the selection of support strategy. Also, the financial power and need of the brand, the financial need of startup, and the importance of the access to company resources and to the startup’s talents are effective on the selection of investment strategy. Besides, the risk bearing of the managers, startup value, and innovation gap affect the selection of absorption strategy.