جستجوی مقالات مرتبط با کلیدواژه « تحلیل شبکه » در نشریات گروه « مدیریت »

Today, we are witnessing the widespread use of artificial intelligence in various fields of marketing. For example, Prime Air Amzon.com uses drones to automate transportation. Domino's Pizza is experimenting with self-driving cars and delivery robots to deliver pizzas to customers' doorsteps. Lexus uses IBM Watson to script its "Intuition Drive" TV commercials. Based on emotional analysis, affective detects the emotions of consumers while watching advertisements. Replica is a chatbot based on machine learning that provides emotional comfort to customers by imitating their communication styles. It has even been claimed that artificial intelligence will fundamentally change the future of marketing. However, academic marketing research to date has not provided sufficient guidance on how best to leverage the benefits of AI for marketing impact. Artificial intelligence systems and programs have become widespread in different industries and different sectors of companies and organizations and have led to close competition between them and have also provided various opportunities for marketing strategy and process. However, research on the application of artificial intelligence in marketing planning has been scattered, and there is a need for a comprehensive research on the past research trend and the future trend of this issue. The current study aims to identify the antecedents and consequences of the application of artificial intelligence in the develop a marketing plan.

This study was conducted with a mixed approach, in the quantitative section by using bibliometric network analysis of existing research background published between 2010 and 2022 and in the qualitative section by using the meta synthesis strategy. A comprehensive review of 115 articles indexed in the Scopus database helped to identify the performance of scientific actors such as the most appropriate authors and the most appropriate sources. In addition, co-authorship and co-occurrence analysis using VOSviewer software suggested a conceptual and rational network. By applying the meta synthesis method to investigate the dimensions of the marketing plan based on artificial intelligence, 59 articles out of 115 indexed articles were analyzed.

According to the results, only one paper was published in 1985 in the field of "Artificial Intelligence and Marketing". Until 2010, when this issue has been gradually noticed by researchers, and the trend of publishing articles from 2010 to 2022 had an upward trend. In 2021, 50 articles have been published, and in 2022, 21 articles have been published until today. Most of the articles related to artificial intelligence and marketing have been published in the Australian Journal of Marketing. To understand the most effective source, 5 of the most suitable sources were compared in terms of H index and SJR index. Journal of Business Research in terms of H index and Journal of Marketing Science Academy in terms of SJR index have the most points and are the most suitable sources. "Liu Wai" won the highest rank among all researchers with 3 articles published in the field of artificial intelligence and marketing. "Liu Wei" has an H-index of 8 and 16 published articles, while "Huang" has an H-index of 75 and 328 published articles, which has more citation records than the rest of the authors. Among the analyzed articles, the highest percentage of studies related to the product/consumer factor (38%) and the lowest The percentage of studies conducted is related to the price/cost factor (14%). Based on the results of the meta synthesis study, it is possible to use mechanical artificial intelligence for standardization, intellectual artificial intelligence for personalization, and emotional artificial intelligence for relationalization. Based on the results, the antecedents of the use of artificial intelligence in developing a marketing plan include technological, organizational, environmental, behavioral and individual factors and the consequences include customer experience, customer journey management, profitability, competitive advantage, customer satisfaction, customer loyalty, customer relationship management and customer engagement.4. Discussion and coclusion: The research findings of the review of all scientific sources conducted from 2010 to 2022 show that so far no comprehensive research has been done for the integration of the Rabazi program stage. Therefore, the most important finding of this research is the review, analysis and classification of the planning phase of artificial intelligence based on metacombination. In this research, 59 articles that directly examined the issue of marketing planning based on artificial intelligence were selected for analysis. The selected studies were coded and finally, 152 distinct primary codes were identified. In the next step, the codes were categorized in the form of 35 concepts or sub-categories, and finally, based on the results of the analysis, concepts in 4 main categories as dimensions of the evaluation program based on artificial intelligence, 5 main categories as antecedents of the evaluation program based on The basis of artificial intelligence and 7 main categories were identified as suffixes of the marketing program based on artificial intelligence, and their quality test was also confirmed. Finally, based on the analysis, a model for the use of artificial intelligence in developing a marketing plan is proposed, which consists of the three dimensions of artificial intelligence, mechanical, intellectual, and emotional, and their benefits include standardization, personalization, and relationship building. It uses marketing mix dimensions.

Digitalization affects many organizational strategies of a company, including the development of market opportunities, and is known as an element that strengthens the internationalization of small and medium-sized enterprises. However, the use of digital technologies requires investment and changes in the internal procedures of a company through the mobilization of new resources based on digitalization and the use of special capabilities for their management. Research on the impact of digitalization on the export maturity of SMEs is scattered and there is a need for a comprehensive research on the past research trend and the future trend of this topic. This study is a bibliometric analysis using Vosviewer software, with the aim of reviewing published scientific products and drawing a scientific map in the field of digitization and export maturity of small and medium companies, which investigated this field using 240 articles indexed between 1984 and 2022. To conduct this study, co-authorship analysis, co-citation analysis and co-occurrence analysis were used for network analysis. In the end, according to the analyzes carried out, five main topic clusters were identified, which include organizational resources based on digitalization, organizational capabilities based on digitalization, dimensions of export maturity, export and internationalization, and sustainable development; According to the trend of the articles, we can expect the field of sustainable development to attract more attention in the coming years.

These days users show more sensitivity towards the policies related to social media. This public concern has also become a research sensitivity and in recent years, the amount of research published in this regard has increased. Awareness of users' sensitivities towards social media policies (using Google Trend data analysis) on the one hand and its relationship with the orientation that researchers have had regarding the study of this field (Scopus database data analysis) is the aim of this research.
Research The present research was conducted using network analysis and cluster analysis techniques. The desired period for extracting data from the Scopus database was from 2004 to 2021 and for the Google database from 2017 to 2021. The search was done based on the keyword of social media by combining the keywords of regulation, policy and governance in these two databases.
The network created from the analysis of articles related to the searched keywords shows that social media is the center of communication in this network and the form of network communication has changed over the years. The results show that there is a close relationship between social media policy studies and user search results in Google, in terms of time. Since the years when public concern about the performance of social media has been formed, we have witnessed the growth of research related to the policy areas of social media, so concepts such as privacy and data protection of social media users in recent years with It has been discussed many times in researches. The systematic analysis revealed that policy development has received less attention in the literature, while previous studies focused on the development of social media itself. The networks developed for investigating the keywords of the Social Media Policy (SMP) dataset show that privacy, public policy, online networking, and decision-making are the main concerns in the literature. At the same time, the search within Google shows that the public interest in searching relevant keywords has increased over the years but has had a slight decrease in recent years.
Discussion & The analysis shows that the SMP literature is direct to the application of machine learning, policy responses to new challenges, Covid-19, and health care in recent years. These directions tend to be extended as emerging themes in the literature. Machine learning (ML) is used for different purposes in the field of social media. For example, recent studies have developed ML algorithms for detecting bots on different platforms, and intentions to use social media. Some other studies focused on all these emerging themes at the same time. Some of them analyze and monitor the pandemic changes due to Covid-19 applying ML on social media data. ML is increasingly being applied to datasets originated by social media for health purposes such as anxiety, depression, abuse and ... analysis. This article has two levels of innovation. First, the subject of this research, social media policymaking, has been a very important topic in recent years, and this research has tried to conduct a systematic review of it and map this scientific field to help develop future research. Second, this research, like the previous works, did not focus only on presenting a scientific map of a field using the data of scientific databases but also considered the comparison of trends in Scopus and Google search databases. Examining a scientific field about which there are many challenges in the general society is not possible only by examining the previous research of that field. Social media policy-making has been a challenging issue in these years, as it is involved with the public interests of a wide range of citizens and has wide-ranging effects on users' activities, which has confronted policymakers with new issues. Therefore, identifying the issues that are considered by general users of social media and comparing what has been at the center of attention for researchers can be a guide for policymakers in this field. This innovation in the way of dealing with social media policy, which has not been done so far, can be a good example for implementation in other fields of science.

The purpose of this article is to model variables and scenarios affecting emergency evacuation during crises such as war and earthquake. The statistical population includes 160 specialists, academic staff and graduate students. The research method is descriptive-analytical. Random sampling method and Cochran's formula was used. Analysis has been done based on Wizard, Any Logic and Anp software. 8 scenarios with a maximum of two incompatible factors are considered for modeling in Any Logic. The more critical scenario obtained from the simulation was selected and the solutions were checked in the Anp software. Previous researches have not explained the simulated scenarios with the scientific method. We have used decision-making techniques and combined them with simulation to select solutions and scenarios. The evacuation time in the fifth scenario is longer than the other scenarios and we considered this scenario more critical. The results of Anp show that the criteria of adding doors and removing obstacles with weights of 0.287 and 0.262 have been ranked the highest. According to the normalized weight in the sub-criteria, in the criterion of time, the escape time in the corridors and stairs (with a weight of 0.65), in the cost, executive dimension (with a weight of 0.608), in the ability to execute, the ability to direct the operation. (with a weight of 0.8), in environmental effects, impact on the public (with a weight of 0.705) and in guarantee of traffic, the status of traffic management (with a weight of 0.756) have been ranked highest.

Cause-related marketing is an attractive way for companies to gain a competitive advantage, where it evokes a sense of altruism and benevolence in customers. Companies and organizations use this method to achieve their business goals and respond to corporate social responsibility. However, research in cause-related marketing has been sparse, and there is a need for a comprehensive study of past research and current trends. This study is a bibliometric analysis using Vosviewer and Gephi software, which was selected to review this area using 454 articles conducted in Q1 and Q2 journals between 1987 and 2022; it has explored the field of cause-related marketing studies. First, the number of articles, citations, bibliographic coupling, co-word analysis, and Prestige analysis were examined for this study. Then, co-authorship analysis, co-citation analysis, and dynamic co-citation analysis were used for network analysis. Finally, according to the analysis, four main thematic areas were identified, which include planning and how benevolent marketing performs well, attitudes and views on cause-related marketing, the role of a cause-related marketing brand, and promotion interaction with cause-related marketing; The two areas of attitudes and views on cause-related marketing and promotion interaction with cause-related marketing according to the trend of their articles can be expected to attract more attention in the coming years.

Just as other aspects of life’s rituals, costumes and languages, cuisine is believed to be a key cultural element in tourism. Nevertheless, the importance of food tourism attractions in planning tourist destinations has been less studied. This article examines the role of food tourism capacities on the spatial centrality of tourism destinations. To this end, the network analysis approach and Gravity model were applied to the case of Mazandaran province. The spatial interactions of food tourism destinations were determined by the number and variety of tourism attractions and infrastructure and distance of cities as a limiting factor for spatial interactions. Then the degree centrality, betweenness centrality and eigenvector centrality were calculated using the UCINET software and converted to GIS maps. The results show that food tourism can change the landscape of regional tourism development capacities. The county of Babol has less tourism infrastructure, in comparison with some other counties of Mazandaran Province. However, it has the highest level of food tourism centrality and was the most suitable region for the food tourism development. Also, the most suitable centers for the establishment of food tourism quality monitoring centers and tourism information and guidance centers are the Babol and Amol Counties in the west and the Chalus County in the East part of the Mazandaran province.

Customer experience management has been regarded as a hot topic for managers and marketing researchers recently. The growing interest in the customer experience area is a result of the increasing complexity of channels, interactions, choices, and customers’ journeys. Thus, companies attempt to meet these challenges by increasing their comprehensive efforts. Organizations typically depict and manage the customers’ experience through customer journeys (including a large number of contact points representing direct and indirect customer interactions with the organization). Given the importance of this area of ​​research, particularly in marketing studies, it is essential to identify the sub-areas and research process. This study aims to review previous studies in customer experience management, identify primary articles, and identify sub-areas and the research process.

This empirical research uses documentary approach for data collection, and data analysis is conducted based on the bibliometric method. Bibliometric analysis refers to a quantitative research method investigating the research literature from the science development perspective. The required data were collected from 124 articles published in the Scopus database, provided that Bibliographic coupling analysis and co-occurrence analysis of keywords were performed. Hence, primary and sub-domain articles were identified. Then, the research process in this field was determined by creating a cover map and the average life of words.

Based on the findings of this study, research on customer experience management can be divided into the following nine clusters: cluster 1: branding, brand loyalty, brands and B2B customer experience indicating research efforts dedicated to the relationship between brand concept and customer experience management; cluster 2: customer relationship management (CRM), customer engagement, interactional marketing, social CRM, and social media; cluster 3, including a large number of studies related to customer satisfaction and loyalty: service quality, satisfaction, trust, and loyalty; cluster 4: customer experience and service design, feelings and cultural differences, and service ecosystem ; cluster 5, including a significant amount of research related to customer experience management in the field of retail; cluster 6: customer experience management, customer journey, marketing strategy, Omni-channel, services, and contact points; cluster 7, including research on the integration of customer experience management and information technology: artificial intelligence and macro data; cluster 8: retail branding, self-service, and social environment; and cluster 9, including studies on e-commerce and the core of customer experience management: macro data, customer journey, service quality, social customer relationship management, and online sales.

This study uses a cover map to address different topics such as the application of macro data in customer experience management, customer journey and contact points, online sales, service quality, customer engagement, B2B customer experience, and social customer relationship management. It also addresses various topics such as service marketing, online customer experience, macro data, customer journey, artificial intelligence, customers’ perceived value, online sales, service quality, social customer relationship management, cultural differences, and Omni-channels by analyzing the average life of words. Therefore, the results obtained from both methods emphasize topics like customer journey, the implementation of macro-data in customer experience management, online sales, service quality, and social customer relationship management.

Reducing the vulnerability of cities to natural disasters such as earthquakes is considered as one of the main goals of urban and urban planning. Hence, the first step is to identify the safe areas of the city for the construction of a shelter against earthquakes. This research aims to identify and zonate safe areas of the Kerman city during earthquakes and to manage the crisis using spatial information systems. Because the safety of urban areas depends on several criteria, the model of the research is a multi-criteria model and according to the spatial nature of the criteria, implementation of the model was done in the GIS environment. Safety criteria of urban areas were determined by the Delphi method and preparing questionnaires from urban planners, constructors, architects and studying past works. These criteria areutility matrix (ground resistance) criteria, criteria of adaptation matrix (1- neighborhood to compatible uses: parks and green space, and distance from health centers & urgent cares 2- Non-adherence to incompatible uses: major explosive industries such as gas-petrol stations and military centers) and the matrix of capacity (population density). Each of these criteria was ranked according to the inverse hierarchical analysis method and then modeled in the GIS environment. Finally, by using analytical functions maps of safe shelters in Kerman were prepared. Our results indicate that the mostsuitable places for the construction of shelters are in regions 2 & 3 in the Kerman city, which should be prioritized in the city plans. Finally, after the definition of the land reference database for urban routes, the geometric network of the distances of the area was designed to react more quickly to shelters to provide services to injured people after the crisis. By designing the geometric network of passages and defining the limits for each path, such as the length of the route and the presence of the traffic lights, it is possible to determine the best route to the closest shelter by using network analysis at the time it is needed.

The main purpose of this study is to documenting tacit knowledge derived from employee experience. A Critical Incident Techniqu  was used to achieve this purpose. First, 51 employees of the Resource Planning and Development department of Ferdowsi University Of Mashhad  participated in the research in order to find key actor, using the social network analysis. At this stage, social network analysis questionnaire was used to collect data. Based on the findings of the study at this stage, relationship arrangement graph of actors was depicted and actors positions was obtained based on centralization indices in network. Then, based on the results of data analysis, key actors in organizational knowledge network of Ferdowsi University of Mashhad were identified. At the next stage, Narrative interviews were used to to find effective and ineffective behaviors in dealing with critical incident.

The business ecosystem represents the collaborative and co-existence role of an organization in a larger network, whose recognition requires understanding the relationships among the members of the ecosystem. The aim of this study is to investigate the ecosystem of mobile communication in Iran using social network analysis technique. After a survey of mobile communications experts in Iran the boundaries of the mobile ecosystem is defined. Then, using snowball method, key actors of Iran's mobile communications ecosystem have been identified. After conducting interviews with the managers of the organizations, the data on the relationships among these actors were collected and using social network analysis (SNA) technique the network of actors was drawn up. Presentation of visual model of mobile ecosystem of Iran is one of the results of this research. The findings show that two mobile network operators in Iran have the highest centrality in the network and are considered as mobile ecosystem leaders in Iran. Analysis of the betweenness indicator shows that Communications Regulatory Authority after two network operators mentioned above has a more prominent role of betweenness in the network. Besides, among the main parts of the ecosystem, controlling and monitoring institutions have the strongest connections across the entire network and hence they are considered as the most powerful part.

Today, optimal access of tourists to tourism elements is one of the important issues in urban tourism planning. Meanwhile, tourist destinations are of great importance as the source and destination of day-trips in cities. For this reason, the proper location of hotels and other tourist residences can be a source of comfort for tourists in terms of transportation and also increase its unique role in tourism and hotel development. The present study investigates the location and geographical location of hotels, the accessibility status of tourism attractions of Isfahan city with tourist resorts. The required information is collected through library, documentary, and referral to related organizations and agencies. Data were then used for data entry into the GIS software, and the Network Analyst tool was used to analyze the data. The New Location Allocation tool was used to show the best tourist destinations as compared to tourist attractions. It was determined that the Mehr Hotel has the best access to historic attractions, the Pearl Hotel has the best access to the attraction The Kusar Resort & Spa has the best access to historical and recreational attractions. The results showed that most recreational centers in Isfahan did not have optimal distance with tourist accommodation. Also, it was revealed that the spatial distribution of tourism residences in Isfahan is not influenced by tourism attractions.

Tourism planning requires understanding the interaction between supply and demand and their mutual effect on each other; hence, tourism destination planning is one of the most important factors for development planning. In the tourism system, only demand and demand increase is not important. But in supply, destination management needs to coordinate and co-operate with the tourism elements. Meanwhile, network analysis is one of the most up-to-date and most efficient analyses that, through the use of small hotspots, boosts their power over the top centers. Due to the weakness of gravity and the dispersion of many tourism destinations, organizing in a network will help to achieve these goals; hence, network analysis and its applications for regional tourism development are essential. Until now, the actual position of Kashan town, despite the cultural and tourist potential and attractions, has not yet been determined, and the dispersion of attractions and proximity to metropolises such as Tehran and Isfahan have caused most tourists to have a one-day trip to this city. In this study, in order to increase the competitiveness of these attractions in the framework of network theory, descriptive-analytic research method was used and data were collected using field survey method. The statistical population consisted of 1,164,124 tourists from Kashan over the past year. According to the Cochran sampling model, the data was collected from the sample of 483 people. The data were analyzed using SPSS, GIS, UCINET, and NODEXL software, and its density, degree, contrast, transmissibility, and E-I were computed, and gravitational graphs were illustrated. Results indicate that the attraction connections are weak and low, which is why most tourists visit the main attractions of the region. As a result, the deposition of tourists’ spending in the region is low and inadequate for the region development; hence, in managing regional development and tourism, efforts should be made to reduce this gap by strengthening the link between the region’s attractions, and provide a background for optimal use of the region’s attractions by establishing a full interconnected network.

The project has been carried out aiming assaying of thematic structure of risk management with keywords analysis of available documents in ISC by using methods of co-word analysis and social network analysis. the statistical community is consist of all available essays of Iran science profile revolving thematic risk management (made of 504 records in five thematic areas) in (1392-1380). Records shows that “humanity science” and “engineering” area, orderly, have most related documents. Concepts such as: risk, risk assaying, insurance, security chain mark, and credit risk are most used subjects of the risk management area. The side subjects are: energy insurance, animal products, pipelines, gas and electric industry. Regarding to importance of other subjects like: financial risk, and commercial risk, etc. - for promoting and improving effectiveness of organizations - institutions and governments in probes are less concerned. There is need for interdisciplinary studying regarding the nature of interdisciplinary of risk management area by using other methods of scientometrics such as Citation analysis and co-authorship.

Due to the various traffic problems in the cities and the momentary changes in the traffic situation, there are always specific traffic problems for the police cars that are critical for the time of arrival of the crime. Therefore, the purpose of this research is to design intelligent systems for optimal control and management of police cars. In this research, firstly, the factors influencing the motor behavior of the police cars were identified, then, in order to reach the desired system, these factors were analyzed in the GIS environment through the network analysis capability. Research findings show that the Intelligent Police Vehicle Management System is quite efficient in areas such as referring the nearest police car to the accident site, referring the most trusted police car to the accident site with regard to traffic, referring several police cars to the accident site with regard to traffic, imposing travel restrictions in the referral of police cars, the simultaneous referral of police cars to the location of several incidents, and the identification of the areas covered by each police car. Considering the system's efficiency in the aforementioned areas, the establishment of a wide database within the country is one of the requirements for the establishment of this system. Also, due to the complexity of the urban road network and the momentary changes that occur in the streets, it is necessary to provide passage information in an integrated database.

According to successful urban old centers renovation dependence to economic infrastructure and unresponsive of public investments to implementation of mentioned subject it is necessary to centers potential for private sector encouraging in textures renovation. If the old textures have value considering with tourism and recreational we can provide suitable and attractive places in citizens psychological and mental requirements and also it is possible to old texture development.
One of the cities in Iran which suffer from old textures problems is Khoy city. So it is necessary to measure main affairs in renovation with an emphasis on urban tourism. In this research we have tried to investigate and analyze strengths and weakness, opportunities and threats points behind tourism in Khoy city old texture. Then we present optimal solutions to improve it in order to itself revocation.
This research is applied in aim or purpose viewpoint and it is descriptive-analytical in implementing method. Required data are collected in documentary and field methods. Statistical populations of research are experts and related office responsibilities according to case study range. Sampling method is random case. to determine the strategy priority, we have been used SWOT analyzing accompany with ANP model. Also we have been used Delphi method to reaching the four factors of SWOT. So SWOT technique and strategies were priorited and valued by using of ANP model in super decision software.
At first we gathered strengths, weakness, opportunities and threats in environment factors and according to themselves results by SWOT analyzing, we presented 10 strategies for tourism development capabilities in order to revocation of old texture in Khoy city. Final priority of strategies by using of ANP model in super decision software showed that ST1 strategy in increasing specialty budget for development tourism attractions, Wo2 strategy in increasing of coordination for related organizations in tourism and ST2 strategy in creating transparent and efficient management to implementation of tourism development are three strategies with priority. In network analyzing; strengths, weakness, opportunities and threats for revocation of Khoy city old texture with concept of sustainable or substantial tourism; strengths have been in the first place

Earthquake can regions and cities a country disabled mobility out of, by disrupting communication network in discipline to and disrupted traffic And the supply of of goods and services to earthquake victims with emergency and safety is a serious obstacles. This situation dangerous because of narrow streets, High concentration of population in old tissues, Tall building incorrect posion decision, constructions Carried out on the path aqueduct and placement of in an area with high seismicity, is That a result of urban sprawl of and increasing congestion in large cities. Resulting in the loss of network performance, the high volume of casualties and financial losses. The purpose of this study was to predict the vulnerability of the communication network is earthquake different intensity. To achieve this, the effective index of 10 metropolitan road network vulnerability to earthquakes in planning models and consolidated since were weighted and fuzzy modeling. Selective layers of in the GIS environment and ultimately the composition of the pre-earthquake vulnerability map was prepared. The model predicts the next step in the design of earthquake scenarios at different intensity 6, 7 and 8 Mrkaly modified was applied overview map of the region before the earthquake vulnerability.The results showed that the damage to the road network in Tehran 3rd District 6 Mercalli scenario suggests 52% of roads in the area are very low and low vulnerability most of the passages with 64% in zone 4 and zone 6, Seyed Khandan neighborhood in southern and northern neighborhoods are Kavvsyh, Scenario 7 Mercalli 53% of roads are in the most vulnerable Most of the streets in the District 1 area on the western side of Vancouver and the District 2 area is in the central part of the neighborhood Hasanabad and Pharmacology. Scenario 8 Mercalli graph vulnerability network in the domain of high vulnerability and complete destruction ascending own again And 80% of regional roads in both domain. Most of these passages, respectively, in regions 6, 1, 2, 5,3 and 4 respectively.

The aim of this research is exploring and analyzing the informational interactions among the actors of Iran’s nanotechnology domain by the quantitative exploring of their relations using Network Analysis approach. Recognition and delineation of the informational networks resulted in identification of powerful and influential actors and the weaknesses and strengths of status and relations among the actors. The results can be used by policy analysts and policy-makers as policy tools. The results in the individual level of actors revealed that Iran’s Nanotechnology Initiative Council with the highest amount of centrality is the most powerful actor of network. In the current conditions which Iran’s nanotechnology has not been entered to commercialization phase sufficiently, established institutions by the government to develop this technology have the highest amount of centrality in network. Also Nano Products Production Companies Group and Policy-Maker Institutions Group are the most powerful groups in the information network, respectively. On the other hand, Policy-maker institutions have the least informational interactions with media, non-governmental associations, and promotional institutions.

The aim of present article is identifying and networking the entrepreneurial university's structure dimensions by an interdisciplinary approach. Entrepreneurial university appearance as a center which focuses on humanity knowledge and its publication, investigation, preparation and university attendance on development of economic and social with more operational system, can be known as one of the most important events in recent years. By attention to necessity of developing these kinds of universities, we have to examine structure basis and I.R.Iran,s universities should be aware of such universities. In this investigation, researchers after library considerations, proceed for recognition of effective structural dimensions on entrepreneurial university using Delphi method in three rounds. Choosing selective experts, accompanied by combining ten completely collegiate experts, three completely technical experts and six collegiate and technical experts. But in second round 15 and in third round, only 12 experts contribute with researchers then they ranked this dimensions by using ANP. After recognizing dimensions by using Delphi method they were ordered by using networking process: independence and integration, professionalism, complexity, centralization and formality. The result of the present article indicates that since Entrepreneurial University's Structure should persuade creativity and synergy; therefore scientific system of our country should notice structural dimensions in universities especially in the aspects of independence, integration and professionalism.

The connectivity of transportation network vertices and prioritization of links are critical issues in the network performance measuring. Prioritization of links is a useful instrument for decanting of drawback and strong point of network. Several studies considered this matter, and usually exploit network reliability concept; but a few studies have attended to network continuity. Developed Minimum Spanning Tree (DMST) by developing the cost associated with each link to loaded network tries to estimate cost of the links more realistic. This paper used DMST concept to prioritized Tehran province intercity arterial road links. Results show that, 13 links of network (out of 76 links) were in all scenarios and considered as the most important network links and it seems that they are network drawback. Results of this paper can be used in road, transportation and logistics management’s fields for strategic decision making in the disaster condition.