فهرست مطالب jahanyar bamdadsoufi

Today, one of the most important challenges of non-governmental organizations is financing. Due to the lack of government funding, these organizations use public assistance to continue their activities and realize their charitable goals and visions. With the increasing use of online donation platforms in the world, non-governmental organizations in Iran have not yet been able to use this opportunity to solve their financial challenges. This is an important issue that needs to be investigated and researched. The purpose of this article is to provide a model to explain the factors affecting the willingness to donate online in line with the collective financing of non-governmental organizations, which has been carried out using a Meta-synthesis method. In this regard, using the experiences of financial managers and charity experts and previous research, the collected information was coded using the content analysis method. The components were categorized with 55 descriptive open codes, 36 basic themes and 12 organizing themes, then the reliability and validity of the model was checked and then it was presented in the form of the final model. The results showed that these components are directly and indirectly effective in online donation in line with collective financing of non-governmental organizations. These components clearly state that providing transparent and timely financial information and effective activities of non-governmental organizations, emotional and social support for people, ease of use, privacy protection, trust and the principle of the plan and project is the right way. which can make the financing of non-governmental organizations successful.

The aim of this research is to provide a model to identify the potential of business clusters and factors and indicators affecting their formation in the less developed regions of Iran. The type of applied research is mixed, mainly using the Delphi method and interpretation, inductive, and survey in terms of data collection. The sampling method was non-random, judgmental, purposeful and criterion-oriented qualitative stage and the snowball sampling technique was used. 18 people ended at the end of the fourth round and reached consensus and appropriate agreement. In the quantitative stage, random sampling and a number of 134 experts were used. Average tests of a population were used with Spss software, and structural equation models and confirmatory factor analysis were used with Smart Pls software. The findings show that ten factors and forty Seven key indicators include: location factor and geographic location, policy factor, economic factor, cultural and social factor, human capital and technology factor, education factor, opportunities and threats factor, product or service factor, expandability factor, foresight factor and factor The market and 47 indicators, as explained in the text of the article, are the main elements of the potential for the formation and formation of business clusters in the less developed provinces of Iran, the meaningful relationship between the extracted factors and indicators with the subject of the research was proven. Suggestions: Accelerate the implementation of orders The resistance economy is the establishment of the national observatory of clusters, supporting the development of clusters based on indigenous knowledge.

Today, in the competitive business scenario, numerous paradigms, initiatives, andoperational practices have emerged in response to competitive pressures of the automotiveindustry that demand improved product quality, inflated responsiveness, and shorter leadtimes, however at lower prices. For this purpose, this analysis has been conducted with theaim of investigating the impact of TQM to boost and upgrade the extent of product qualityand innovation performance in Saipa Automobile Company.

From the applied purpose and collecting descriptive data perspective and thekind of it is explanatory. The statistical population of the research consists of 140 high, middleand operational managers (supervisors) and experts who are knowledgeable about the subjectunder investigation of Saipa Automobile Company. The minimum sample required to use thestructural equation modeling method based on partial least squares (SEM-PLS), using the firstrule of Barclay et al. (1995), was estimated to be 70 samples. Therefore, in order to make amore accurate estimate, the questionnaire was distributed among 120 senior, middle andoperational managers and the number of 100 completed questionnaires, received, wasanalyzed.

To be successful in the field of quality, having the soft and hard aspects of TQM atthe same time is very crucial.

Soft TQM has a positive effect on hard TQM. It was also found that soft TQM failedto influence the innovation performance of Saipa Automobile Company. Finally, the resultsindicate that hard TQM has a positive effect on the innovation performance of SaipaAutomobile Company. In addition, the results of the ''T'' test indicate that using soft and hardTQM as well as innovative function of Saipa Automotive Company has considerably beenmore impressive.

Objectiv (s):

 Considering the high growth of the candy and chocolate industry and its role in public’s health, innovations need to focus on health, safety and food hygiene. Therefore, the current research was conducted with the aim of presenting a cognitive model of innovation components in confectionery and chocolate products.

A study was conducted by combining two approaches of soft systems methodology and fuzzy cognitive mapping in seven stages. These included providing an enriched image, analysis of CATWOE and root definitions, identifying the components affecting innovations and presenting a conceptual model using cognitive mapping. Finally we compared the conceptual model with the real world.

The findings of the study showed that sweet and chocolate companies have not been able to make a significant contribution to innovations of the products as well as the process in the entire value chain and creating added value of health, and they are suffering from severe deficiencies. The most important problems identified were: the lack of skill in discovering opportunities and creating new methods for exploitation in the center of the innovation process, the inability of the Food and Drug and Standard Organizations to motivate the production of beneficial and health-oriented products, and the control and supervision of healthy raw materials and its formulation to create a competitive advantage, the lack of high correlation between the companies performance in the market and development of products with greater interaction with customers in terms of design, customization, quality and food safety and hygiene. Therefore, the use of health-oriented and organic raw materials, paying attention to proper diet, production of extra-profitable products, use of health-oriented packaging, new technologies for the production of health-oriented products, nutrition and health experts in the development of new products, and government support for the producers of health-oriented products are the main components of innovation success in the food industry.

The study finding suggest that stakeholders in the value chain of sweets and chocolates companies should grow and develop their activities in health innovations ecosystems.

Today, quality of services is one of the main factors for the survival and growth of any type of organization, including educational organizations. Service providers and service recipients both play key roles in determining the quality of services.

The purpose of this study was to compare the quality model of smart educational services from the viewpoint of recipients and service providers based on the HEdPERF model.

The present research is from the perspective of exploratory-applied orientation and from the perspective of descriptive-survey goal. The statistical population of smart schools in region 2 of Tehran, which has 4 smart schools, has a total of 240 students and 83 teachers and teaching staff. The number of samples obtained for service recipients (students) is 148 and 64 people as a statistical sample of service providers (teachers and teaching staff). A questionnaire was used to collect research data. To compare the quality of smart educational services between these two groups, t-test with two independent samples was used.

For all 6 components of quality of education services including educational aspect, educational performance, program, non-educational aspect, access and reputation between service recipients and service providers, there is a significant difference of 99% confidence level. In other words, in all six mentioned aspects, the service providers evaluated the current situation better than the service receivers.

From the perspective of service recipients, the average quality of services provided is lower than that of service providers. That is, there is a gap between the views of service providers and recipients Such a result was somewhat predictable, because most of the service providers evaluate the quality of their services more favorably than the service receivers, and the service receivers usually have more critical opinions about the various dimensions of the services provided.

Accepetance of the fact that the working context of civil projects is challenging can enhance the resiliency capacity and will increase the project management concentration for improving and developing the software and hardware capabilities to facilitate project success achievement. This article is documented based on a research results in macro-hydropower plants projects management context to represent a new project management approach named as “Resilient Project Management”. Thematic analysis is the chosen research methodology in this study. Different qualitative and quantitative techniques are used in the study. Systematic literature reviewe, opened interviews and closed questionaries are the tools to gather datas inorder to demonostrate the framework. Results showed that there are six main demensions and related requirements to implements resilient project management approach in project management context. Management and leadership style, Organizational structure and human Resources, Working processes and resources, Performance index management and control, Maintenance management and readiness efforts and Chrises control and management are the dimensions of resilient project management approach.

Main question: taking into account the dependency of I.R.Iran to export of crowd oil and other petrochemical products, Iranian economics is highly sensitive toward foreign exchange market and it's turbulances.
The aim of this research is to identify elements that affect foreign exchange market and it's turbulence, and so, helps the policymakers in their decision making at national level.
Research

after a thorough literature review and conducting interviews with experts, we used thematic analysis to identify main effective elements in turbulence of foreign exchange market. Then we proceeded to use cross impacts between identified elements, by help of MICMAC software solution.

Complexity, which is a key feature of many organizations' environments, has forced them to use external knowledge in addition to collaborating with each other and combining it with internal sources of knowledge. In this regard, it is necessary to provide an industrial agglomeration model to promote technological innovation in Iranian industries. By selecting grounded theory research method, this research explains and develops a conceptual model in the field of industrial agglomeration model to promote technological innovation in Iranian industries. The research method is mixed and in the qualitative part, interviews were conducted with 14 related experts. All the information extracted from the interviews was revealed in the form of concepts and categories and the connections between them. Finally, based on the concepts and categories developed, the research model was developed. In the quantitative method of the model, using the fuzzy Delphi method and distributing the questionnaire in three stages, the opinions of experts in the field, the importance of industrial density indicators and technological innovation and expert consensus, and prioritization of research indicators were examined. Considering the results obtained by experts and their agreed consensus in the development of industrial estates and the formation of industrial density to promote technological innovation in Iran's industrial estates, the components of government support for small and medium industries, government tax protection policies (for example, granting Tax exemption) and the natural benefits of the region are jointly ranked first and the rest of the components are ranked in the following.

Over the past few decades, great advances have been made in many industries, including the food industry, from which the development of useful products can be noted. Given the undeniable necessity of innovation in the food industry and its role in the economy, it has been attempted to present a qualitative model of the factors influencing innovation in the development of high-value food products with the aim of export boom using fuzzy cognitive mapping methodology. For this purpose, after expressing the subject, theoretical bases and background analysis, using an interpretive paradigm and a qualitative research design, an initial conceptual framework of the research with content analysis approach has been prepared and the innovation model has been presented. Then, cognitive mapping technique tools are used to examine different policies on the model and analyze it. The findings from the innovation mapping showed that the product system, the production of useful products, the interaction and partnership with customers to create value are key components to the success of the sweet and chocolate industry. In addition, the formulation of innovation promotion policies should take a composite approach to the components, and investing in the factors individually cannot achieve much improvement.

The cooperation of any industrial production network with foreign partners, more than competitiveness, depends on their operational capabilities. This article sought to answer two questions choosing a qualitative-exploratory approach; what are the operational capabilities to join the global production network, and, what is the structure of operational capabilities? Data collection sources include autoparts industry experts who were selected in a judgmental and purposeful manner; 3 firms were chosen based on their presence in the global supply network. Data analysis was performed using thematic analysis. The case studies have been analyzed from the establishment to the present situation to identify operational capabilities related to the requirements of global automakers. The results are presented narratively so that the case studies lead to new theorems. Based on the results, operations continuity skills are labeled as operational routines, and growth and development skills are labeled as search routines. Routines are divided into categories of capabilities which lead to the deepening of routines through the learning process. Improvement capabilities include continuous improvement, management commitment to quality, and process management. Also, Growth and development-related innovation capabilities include multifunctional product design, equipment and process development, and the search for new technologies.

The aim of this research is to prepare a comprehensive pattern for sustainable development namely, sea transport which is one of the important parts of the transportation industry. The mention focused on improving communications and coordination among maritime organizations in this area. The research written based on a descriptive correlative research method. In the data gathering; we have used a Field – Librarian Method. First, the Delphi method has been used to examine the framework for sustainable development and its effective components in the mention industry. Required information has been gathered by survey tools such as observations, interviews and questionnaires. Also structural equation technique, path analysis and LISREL software are used to analyze the gathered information. The conclusion of this research is representing a suitable model for explaining the relationships among stakeholder demands, supply chain performance and sustainable development so that we can declare the demands and requests initiated of stakeholders has direct and indirect meaningful relationships with sustainable development. In the long term; relevant organizations will be able to respond effectively to the needs and requests of key stakeholders and also will implement professional human resources which to be one of the most influential elements in the conceptual model.

The main purpose of this paper is to propose a multi-objective model for assigning service/product to clustered customers. The main practical objectives of this model from the perspective of the bank are reduced cost and risk and increased customer satisfaction. Design/methodology/approach: In this paper, five indicators of recency, frequency, monetary, loan and deferred have been identified and customers have been clustered, accordingly using K-means approach. Then, a three-objective mathematical model has been designed to assign optimal service/product as response to customer. Finally the model has been solved by simulation based optimization.

In the case study, all information about five characteristics of customers was extracted from the database, 31953 customers were placed in seven clusters and the validity of these clusters was measured. A three-objective mathematical model was designed based on the characteristics of 13 types of bank products/services. Then, the simulation modeling solutions were improved using the simulated annealing algorithm. In this study, Weka and R-Studio, Arena and Longo were used for data mining, simulation and optimization, respectively.

The limitations of this study include inability of simulation instruments for drawing, solving all probable states (more scenarios) and solving the model for those states. It is recommended to develop the mathematical model with respect to customer, so that after problem solving, the bank would be able to make decision on providing services and products to its customers. Simultaneously, the objective functions would be fitted within their most reasonable states and ultimately, using a model, the parameters related to each product can be set for the new customer referring to the bank.

Products/services were assigned according to customer needs in a way that cost and risk were reduced and the utility of assignment was increased through the proposed model and simulating the behavior of each cluster of customers.

Paradigm shift in the banking industry is changing from e-banking to digital banking. In digital banking, assigning/customizing products/services, regarding the needs of customers, is very difficult .The banking industry is not well equipped to respond to the digital banking expectations of most consumers. One of the most important challenges of banks is recognizing customers, clustering and assigning a service/product to each of the different clusters. The main policy in the banking industry is to increase customer satisfaction and reduce cost and risk in sales service. Therefore, each customer should have a dedicated service/product.

In this paper, authors attempted to use one of the clustering approaches in multi-objective programming. In addition, they proposed an approach for assigning product/service to customer by simulating and analyzing the behavior of each customer cluster.

Today, many requests are presented to business companies by various stakeholders of the maritime supply chain such as shareholders, banks, commodity owners and regulatory agencies to review their duties and responsibilities by considering some important aspects such as Environmental, economic, social and governance issues. In fact, the concept of sustainable strategic development also refers to promoting the effective collaborations and interactions between these elements in the maritime supply chain. The main purpose of the research is to provide a comprehensive framework for sustainable strategic development in the field of maritime industry in the country which has been carried out by taking into account some key components such as stakeholder demands and supply chain performance. The method of collecting data in this study is a field-library one. After identifying various measures of the three main components of this research, namely, requests received from the stakeholders, sustainable strategic development and enhancement of the performance in shipping industry, ultimately, the results obtained by using the Delphi technique were moderated. Then, based on the five-option Likert Scale, a questionnaire is developed and distributed among the statistical samples. Meanwhile, structural equation modeling and path analysis techniques are used for data analysis. At the end, an appropriate model has been presented for explaining the relationship between the three main components of the conceptual model in this industry, so that the demands received from the beneficiaries directly have a significant relationship with the concept of enhancement in the performance of the maritime supply chain. Also, the mentioned requests indirectly and through the role of sustainable strategic development has a significant relationship with the enhancement of the performance of the maritime supply chain

One of the challenges that currently exists in the field of events management in the country is events policy making. The gap is gaining local culture development and economic benefits simultaneously. The purpose of this study is to explain and classify the experiences of visitors of Iranian food festivals. Taking these experiences into event planners and managers makes it more convenient to attract enthusiasts. The purpose of this study is to explain and classify the experiences of visitors in Iranian food festivals. In this regard, by focusing on the reasons of people participation in food festivals, main roots of desired experiences are discovered. After books and articles reviews, using a qualitative analysis of focus groups, a new classification was developed to explain the experiences of these participants. The qualitative exploratory study was conducted in this research.

 Fuzzy DEA methods have been introduced to deal with the fuzziness of variables. Although, some of these variables are affected by uncertainty and also information granularity, the membership function of fuzzy set is certain and this contrasts with the fuzzy concept as a whole. Type-2 fuzzy sets are introduced because of this and their membership functions have the nature of fuzzy type-1. The calculations of type-2 fuzzy sets are very complicated. However, interval type-2 fuzzy sets which have the characteristics of type-2 fuzzy sets and do not add any complexity to the calculation process can be applied to deal with such a problem. That is why in this paper, it is explored that how an extension of interval type-2 fuzzy dynamic network DEA approach helps to measure airports’ sustainability. Sustainable airports play an irrefutable role in making transportation systems sustainable. Such an integrative approach in DEA models is unprecedented. So, this extension of DEA is valuable from both technical and conceptual aspects. Airports are an essential component of aviation (Knudsen, 2004). The importance of airports becomes clearer when it comes to the fact that aviation traffic is more than before and, therefore, sustainability becomes difficult. While, various studies have suggested that the sustainability of airports is essential to improve the performance of these systems, improve the living conditions of the public and increase the airport's credit (Brian, 2005; ICAO, 2012; SAGA, 2015). Paying attention to the concept of sustainability in managing airports has various benefits, such as increased competitiveness by purifying activities, reducing operating costs, and reducing costs for life cycle of materials and equipment, better use of assets, utilization newer and better technologies, reducing asset development costs, getting more support from the community, improving working conditions and, as a result, improving employee productivity, reducing environmental risks, health, safety and promotion (SAGA, 2015; Bretzke, 2013; TRB, 2012; ACARE, 2011; Too, Earl, 2010). For the reasons mentioned, it can be said that it is necessary to pay attention to the sustainability of the passenger airports of the country. Certainly, before adopting any approach, the current situation must be assessed correctly. Various methods have been used to evaluate performance, but Data Envelopment Analysis (DEA) is one of the most widely used methods (Azizi et al. , 2004). Data envelopment analysis is a functional and nonparametric method that allows consideration of various components as input and output or intermediate activities (Bray et al. , 2015). However, no research has been found to determine the performance of airports in accordance with the principles of sustainability in Iran.  Type-2 fuzzy Dynamic Data Envelopment Analysis (DEA) is used to assess the performance of Iran’s passenger airports based on sustainability development. By use of Dynamic Network Data Envelopment Analysis, one can see how the different parts of a decision unit can be linked. It also shows how the past performance of a decision-making unit can affect its current performance. In this type of data envelopment analysis, the function of the decision-making unit is transmitted through time-based intermediaries to the next period. Thus via using dynamic data envelopment analysis method, it is possible to consider the activities of different parts of a decision unit and also the efficiency with respect to time periods. However, the point is that in the real world, due to the increasing socioeconomic complexity and the inherent ambiguity of human thinking, there is no possibility of precise determination of many of the components. For this reason, type-2 fuzzy theory is employed that its membership function is the fuzzy of the first type. Since the complexity of calculations while using type-2 fuzzy set is high, interval type-2 fuzzy is applied. The 20 most popular passenger airports in Iran are selected to evaluate their performance in accordance with the principles of sustainability principles and via the help of the developed DEA model.  Results of investigation show that Larestan Airport is the most efficient one among all and the last rank is allocated to the Isfahan airport considering fixed return to scale while in variable return to scale, Shiraz airport gets the last rank. The efficiency intervals of airports such as Larestan, Gorgan, Rasht and Yazd have little difference in two modes of return to scale. For this reason, we can say that there is no significant function inefficiency about these airports. But this difference is more evident in the efficiency of airports such as Mashhad. Airports, whose performance is generally low or are inefficient, are able to provide a groundbreaking improvement with appropriate benchmarking. Since airports operate in different conditions, difference in climatic conditions and the in workforce etc. should be considered while benchmarking.

Knowing customer behavior patterns, clustering and providing proper services to the customers is one of the most important issues for the banks.In this research, 5 criteria of each customer, including Recency, Frequency, Monetary, Loan and Deferred, were extracted from a bank database during a fiscal year, and then customers were clustered using K-Means algorithm. Then, a multi-objective model of bank service allocation was designed for each of the clusters. The purpose of the designed model was to increase customer satisfaction, reduce costs, and reduce the risk of allocating services. Given the fact that the problem does not have an optimal solution, and each client feature has a probability distribution function, simulation was used to solve the models. To determine the optimal solution, Simulated Annealing algorithm was used to create neighboring solutions and consequently a simulation model was implemented. The results showed a significant improvement in the current situation. In this research, we used Weka and R-Studio software for data mining and Arena for simulation and optimization

Knowing customer behavior patterns, clustering and assigning them is one of the most important purpose for banks. In this research, the five criteria of each customer, including Recency, Frequency, Monetary, Loan and Deferred, were extracted from the bank database during one year, and then clustered using the customer's K-Means algorithm. Then, the multi-objective model of bank service allocation was designed for each of the clusters. The purpose of the designed model was to increase customer satisfaction, reduce costs, and reduce the risk of allocating services. Given the fact that the problem does not have an optimal solution, and each client feature has a probability distribution function, simulation was used to solve it. In order to determine the neighbor optimal solution of the Simulated Anneling algorithm, neighboring solutions were used and a simulation model was implemented. The results showed a significant improvement over the current situation. In this research, we used Weka and R-Studio software for data mining and Arena for simulation for optimization. The results of this research were used to develop Business Intelligence software for customers in one of the private banks of Iran.

Knowing customer behavior patterns, clustering and assigning them is one of the most important purpose for banks. In this research, the five criteria of each customer, including Recency, Frequency, Monetary, Loan and Deferred, were extracted from the bank database during one year, and then clustered using the customer's K-Means algorithm. Then, the multi-objective model of bank service allocation was designed for each of the clusters. The purpose of the designed model was to increase customer satisfaction, reduce costs, and reduce the risk of allocating services. Given the fact that the problem does not have an optimal solution, and each client feature has a probability distribution function, simulation was used to solve it. In order to determine the neighbor optimal solution of the Simulated Anneling algorithm, neighboring solutions were used and a simulation model was implemented. The results showed a significant improvement over the current situation. In this research, we used Weka and R-Studio software for data mining and Arena for simulation for optimization.

Many scholars focus on the effects of policies that make to response to market failures and systems. To understanding behavior of the firm as a result of government interventions, they have tried to develop the concept of Behavioral Addtionality in Innovation Policy Assessment. This research emphasis on Innovation Capability and its Micro-Foundations as indicators of the firms’ behavior that is less attention by scholars. Therefore, we attempt to evaluate the effects of three regulatory policies (Generic plan, Pricing system and tariff system) on innovative behavior (Innovation capability and Performance) in Iranian pharmaceutical companies. This study is a cross-sectional study using Multi-Case study strategy and cognitive-analytic tool, the effect of regulatory policies on three levels of five policy objectives, Micro-Foundation of Innovation Capability and Innovative Performance. Also, using the sensitivity analysis of the effects of the following 26 scenarios, the three levels of the component have been considered. The results show that although these policies are aimed at policy goals of Market Expansion, Availability Enhancement, and Value Chain Improvement, as well as on the process innovation, they have been able to create patterns in the innovation and management intelligence of firms, but their negative effects on Quality Promotion, R&D Motivation as well as product innovation.

Corporate sustainability is one of the novel and growing concept which emphasizes on multidimensional aspects. Food industry is one of the strategic industries in Iran and its sustainability is significant due to its strong role in employment, food safety and export. Thus, this research deals with explaining factors and concept of sustainability measurement and also the affecting factors on its notion and evaluation. In this research which was conducted in 2015, after the literature review, factors and corporate sustainability indicators were identified. Lean supply chain and green supply chain were identified as two effective factors.
Eighty four indicators are among six main factors for three concepts of corporate sustainability, Lean supply chain and green supply chain. Evaluated by 35 food industry experts, these measurements were reduced to 70 indicators using t test. Indicator's credibility was confirmed by 35 random food industries. Result indicates triple indicators which are reliable and valid for Iran medium-sized food industry.

The aim of this research is to theoretically integrate the lean and green concepts in the context of supply chain management and to present a model to explain the effects of the lean and green concepts on corporate sustainability. The current study conducted a comprehensive review of the existing research to identify operational dimensions for each research concept: including lean supply chain, green supply chain and corporate sustainability. Data were collected from 255 medium-sized Iranian food industry companies. Partial Least Square technique was applied to examine the study model.Results confirmed the core idea of the research: The findings indicated that the green supply chain has significant direct effects on four dimensions of corporate sustainability: The economic dimension, the social dimension, the environmental dimension, and the governance dimension. Furthermore, results affirmed the impacts of lean supply chain on all dimensions of corporate sustainability except governance. Moreover, data supported the influence of lean on green supply chain in Iranian food industry.

Creating value for stakeholders with maximum productivity is a goal obtained by leanenterprise. In this paper designing comprehensive and valid assessment model isobserved for lean enterprise. after reviewing literature and comparing assessmentmodels of lean enterprise to each other, the conceptual research models was designedby considering assessment models of lean enterprise and also APQC framework forclassifying the processes in three dimensions: Enablers, Business Processes andBusiness Results. For this, the three main Iranian automakers Iran khodro, SAIPAand Pars khodro have been assessed by performing a field research through theirmanagers’ viewpoints. Next, the research model and impressing the model dimensionon each other have been considered and validated by structural equation modeling.Therefore, it has been used from conformity factor analysis, path analysis and t-value.Shanon Entropy has been used in order to weight the components and variables of themodel. The results obtained shows that enablers impress on business results throughbusiness processes and there are meaningful relations among them. In addition toimpress triple model dimension on each other, their factors have a meaningfulrelationship with each other. In other words, we can not achieve the lean enterprisemodel without making strong links between its factors and components, and it isnecessary to create integration within its components and factors.