جستجوی مقالات مرتبط با کلیدواژه "شبکه همکاری" در نشریات گروه "مدیریت"

Organizational cooperation emerges as a tool that allows members of the cooperation network to make decisions based on shared information and two-way exchanges that coordinate and synchronize activities with the aim of attracting It causes the satisfaction of the market and the increase of the common profit. Cooperation networks are formed by organizations that have a prior desire to cooperate with each other in order to achieve their common interests by using information technology and through joint decision-making and effective participation. The purpose of this research is to investigate the networks (CNs) and the cooperation process that allows them to increase interaction in the environment. These new tools are based on enterprise architecture (EA). On the other hand, organizations that cooperate with other organizations in order to gain competitive advantage and deal with environmental complexities, each has its own unique organizational architecture. Investigating the effect of this organizational architecture on the cooperation network architecture of organizations is the target of this research. In this regard, by reviewing the theoretical literature and using the Interpretive Structural Modeling (ISM) method, a framework has been developed to examine the impact of the organization's information technology architecture on the architecture of inter-organizational cooperation. The results of this research show 5 dimensions of organization architecture and 6 dimensions of inter-organizational cooperation architecture and how they are leveled and related in the form of a final model. The insight that this framework provides to organizations can help in better designing the architecture of the organization to enjoy an effective cooperation and the benefits of it. Enterprise architecture is a continuous process after initiation. Establishing such a process involves interacting with different dimensions of the organization. Therefore, the cultural, human, technical, structural, event, etc. dimensions throughout the organization are fundamental issues in the successful implementation of organizational architecture. Considering that the implementation of organizational architecture is costly and expensive, its poor implementation provides many problems for the organization.

In the subject of common information technology, we strengthen and precisely specify the legal dimensions, standards, control guidelines, time frames and the form of situations. MICMAC analysis showed that the components of the content model (conceptual description) of the organization's architecture, the logical model (systemic description) of the organization's architecture and business strategies of cooperation have the greatest influence on other components and are key components in They are considered to be the formation of the cooperation process. Other investigated components have high power of penetration and dependence and are located in the connected area and these components have two-way communication with each other. According to the results of the research, the following suggestions were made: The research results show that technology plays a very important role in the development of inter-organizational cooperation, so it is suggested that organizations design inter-organizational information systems. Among the factors of level 1, knowledge cooperation is the factor influencing inter-organizational cooperation. Therefore, in organizational architecture, the mechanisms of knowledge production, acquisition and application should be predicted. Designing and establishing specific processes for inter-organizational cooperation is a necessity that must be considered by organizations in the design of organizational architecture.

This study set out to investigate the trend of studies conducted on tourist experience using bibliometric analysis. To this end, the study analyzed 2683 articles published in the Web of Science database from 1980 to 2020 using the VOS Viewer software to visualize and analyze the results. In this regard, two analysis levels were considered. At the first level, the publication trend and the impact factor of authors, journals, and articles were examined. At the second level, the structure of the co-occurrence network of keywords and the co-authorship network of authors, institutions, and countries were analyzed. The findings of the study indicated a significantly growing trend of studies (most of which were published in 2019) conducted on tourism experience in recent years, which is expected to continue to grow in the future. On the other hand, hospitality and leisure, management, and environmental studies were found as the highly researched areas, with most articles being published on tourism experience. Moreover, social media, trust, user opinions, and competitiveness are among the emerging research areas in the relevant literature. In this regard, health tourism, culinary tourism, social experience, shared value creation, authenticity, cultural experience, destination experience, backpackers, information technology, cultural differences, cultural heritage, students’ experiences, sustainable management, and transportation are among the main topics addressed in the literature. On the other hand, the analysis of the authors' co-authorship network revealed that thirty-five research groups are currently working in this field worldwide, with the Hong Kong Polytechnic University exerting the highest influence on the international collaboration network.

This paper aims to propose a systematic view of how Circular Supply Chain Management (CSCM) captures and evolves the state-of-the-art advances in this field. Multiple analyzes have been performed with two tools of VOSviewer and open-source R-package ‘bibliometrix”. Also, a network and bibliometric analysis of the Co-Occurrence, Co-Authorship, and Co-Citation has been made on CSCM using bibliometric and scientometrics methods on the literature available on the Web of Science and Scopus databases.

Design/methodology/approach:

 Bibliometric, network structure, and descriptive analysis have been used to investigate publications on the subject of circular supply chain management. For this purpose, a systematic review has been performed using the Prisma review protocol. After defining the research objectives and questions, the relevant keywords for the sources and database and search codes have been used for an online search. Then, the initial search has been conducted. The next step involved screening the study results. 116 published articles have been selected from Scopus for analysis. The potential papers were then downloaded in CSV format for bibliometric analysis and synthesis. The final data for this research has been selected from 2010 to 2021. All the data was exported in CSV format to the Bibliometrix and Vosviewer software for data analysis. Also, Co-Authorship, word Co-Occurrence, and Co-Citation analysis have been generated using VOSviewer.

This study analyzed the annual publication trends, the most productive authors, the most cited articles, the most productive affiliations, the most important journals, the most productive countries, and keywords. Collaboration, co-occurrence, co-authors, co-citation, and historiographical analysis were also performed in this study. Findings indicated that "Perona, M" and "Mina, H" with six and five articles were the most productive authors in the development of this field. Also, Geissdoerfer's article was the most cited article with 231 citations, and it can be considered a pioneering work in the field of CSCM development. Farooq's article was also the most cited local article. Govindan et al.'s (2020) article were the most important in co-citation analysis. Great Britain and Italy were the most productive countries with 70 and 66 publications. Cambridge University was the most productive university in England. The "Journal of Cleaner Production" and "Sustainability" were the most visited journal with 24 and 8 articles. The most dominant keywords were "circular economy" and "circular supply chain". The main keywords shared in the most advanced cluster were "circular economy", "circular supply chain", and "supply chain". The main common keywords in cluster 2 included "supply chain management" and "circular supply chain management", and the main common keywords in cluster 3 included "sustainability, and “closed loop supply chain". Also, major cooperated countries included Great Britain, Italy, and China. Strong cooperation between Iran and Denmark, China and Australia, and Britain, and India was also observed. A significant number of articles were written by Iranian researchers, and the number of citations received by foreign researchers was higher. The authorship of the articles included two, one, and three authors, respectively. The results indicated the existence of the development of CSCM with quantitative modeling approaches, proficient algorithms, optimization techniques, and integrated multi-criteria decision-making techniques. Also, CSCM research must identify enablers, drivers, Critical Success Factors (CSF), obstacles and barriers, innovative frameworks, and circular business models.

Research limitations/implications:

 The papers were merely reviewed in the form of scientific and English language journal articles. Other datasets and conference papers, reports, and books can be considered for future study, but they were not included in the structural literature review.

Practical implications: 

CSCM is rapidly developing in supply chain sustainability and can operate as a guide for companies. To apply CSCM, three questions need to be answered:  i) which business/supply chain models should companies choose (closed loop or circular)?; ii) how does it cover supply chain operations to achieve a zero-waste perspective?; and iii) how does the company redesign its supply chain and implement a circular supply chain?

Social implications: 

The application of the results of this study and circular supply chain indicators have positive effects on the sustainability and circular economy.

Originality/value:

 This research is one of the early attempts to analyze the structure of social networks in CSCM using bibliometric and scientometric methods. In previous studies relevant to CSCM, mainly the structured literature review, content analysis, and integrated framework have been used, and few studies have addressed CSCM using bibliometric analysis. In this paper, the R-software was used for the first time as a tool for bibliometric data statistics (open-source R-package tool ‘Bibliometrix’ supplemented by VOS viewer, which is used for clustering and data visualization). Also, the results of the analysis of the two software were compared.

Social media plays an important role in many aspects of tourism, especially in information retrieval, decision making, tourism promotion, and customer interaction. Due to the growing number of published researches in the field of social media and tourism, the purpose of this research is to analyze the publication trend and conduct a bibliometric analysis of the research published in this field. For this purpose, the information of 1054 articles published in the Web of Science from 2009 to 2020 is analyzed. In this research, two levels of analysis are discussed. At the first level, the publication trend and the impact of authors, journals, and articles are examined. At the second level, the structure of co-occurrence network of keywords and co-authorship network of authors, institutions, and countries are analyzed. The results of this study show that the use of social media in various sectors of tourism has increased in recent years.

To address problems in product development, decisions about product architecture and supply chain, and specially supplier network, are usually sequenced. This study aims to propose a model considering the product architecture and the supplier network at the same time in the early stages of product design for two optimization goals: i) to increase the weight of the supplier cooperation network; and to minimize the total cost of transactions and the proposed modules’ cost. The relationship between suppliers and within and between modules has been also considered in the early stages of design. The cost of interactions has been estimated, using clustering to obtain the Design Structure Matrix (DSM). The proposed solution was examined in an artificial network and on the electro-optical camera. This research aims to minimize interaction costs and maximize suppliers’ collaboration networks.

In the first step, a DSM was developed for Product Architecture. Then the mathematical optimization MO_MINLP with a two objective model was developed. The proposed model was solved by GAMS software using Weighted Sum, LP metric, and augmented epsilon constraint methods. Consequently, the results were compared and a sensitivity analysis was performed.

The model aimed to minimize costs, including the total cost of internal and external transactions. The module proposed cost and maximized the weight of the supplier cooperation network. To evaluate the model, an artificial numerical problem and a real problem on the electrooptical camera were studied. The experimental results confirmed that the proposed model can effectively design supplier networks and assign modules to the best suppliers. The analysis of the results indicated that considering the transactions cost and supplier cooperation network simultaneously in a bi-objective model more effectively optimizes and designs the supplier network. The model’s solution results implied reduced redesign and rework with minimum cost. The results also highlighted: i) Simultaneous consideration of product architecture and supplier network in the form of a team and network of suppliers. ii) Nonlinear bi-objective model: to increase the weight of the supplier cooperation network; and to minimize the total cost of internal and external interactions for the realization of product modules for the main manufacturer and the module proposed cost by the supplier, taking into account the skills and capacity and supporting suppliers. iii) Considering the relationship between suppliers and within and between modules iv) Assisting in the selection of the right supplier in the early stages of design v) Estimation of the cost of interactions, using DSM clustering. Research limitations/implications: In the case study, the most critical limitation in collecting necessary information and developing a computational model was the lack of historical data for product architecture and parameters. Practical implications: Applying the proposed approach reduced the cost of product design and its associated operations. Practitioners can use this approach in selecting the best supplier and modules. The proposed approach reduced rework and redesign and supplier network costs in early product design processes. Social implications: Implementation of the proposed approach decreased social costs by reduced rework and redesign and supplier network costs in early product design processes. Such an achievement was also related to the social network of suppliers.

The proposed mathematical model innovatively integrated product architecture and supplier network using MO_MINLP and used the results to optimize a typical industrial product.

Today, the most important characteristic of organizational environments is rapid change, which has caused complexity and reduced the power of organizations in predicting future events and has challenged them on the path to success. In such a situation, an organization alone cannot cope with the complexity and competition. By drawing a new space, the cooperation network has provided the ground for strengthening innovation and increasing competitiveness and survival in the environment for the organization and reduces the existing costs and risks. But what does a cooperation network look like?

The present study, following the design of an effective cooperation network model in the Institute of Defense Industries, has identified the dimensions, components and influential elements. In this regard, taking advantage of the existing literature in the field of networks, the basic concepts are identified and using the data theorizing method of the foundation and interviews with experts, professors and defense managers related to the subject, open, pivotal and selective coding has been done

based on the coding, the factors and elements of the model are identified, the model extracted from this research,comparing with previous research, has a more comprehensive look on investigating the various sections.

finally, network performance demensions and effective achievement include network structure, network process, network members, nature and topics of cooperation, the conditions of extended cooperation, motivation of network founders and motivation Network Partners has developed a network of cooperation in terms of the range of elements of interest in the defense industry.

A nation’s progress and development depends on the production of knowledge by its educational centers and turning them into presentable products by the industrial units. To reach this point, a coherent connection between the scientific and industrial units in the country seems natural and inevitable. This research aims at scrutinizing the cooperation network between Hormozgan University and Industry. This study has an applied and practical nature and can be classified as a descriptive and survey-based research. The statistical population for the study includes Hormozgan University faculty members and managers of research centers in a number of Hormozgan organizations. In order to analyze this cooperative network, at first, two sets of questionnaires containing items for studying the network connections were designed. After completing the questionnaires, the data for each network was imported into Excel as a matrix and analyzed by using Visone and NetDraw applications and indexes such as the inner core angle, cutpoints and network densities were derived and computed for the networks. All in all, the cooperation and trust networks analysis indicated that the presented networks had a relatively low central density. The high points of isolation in two networks and the lower density of networks of trust compared to the cooperative networks indicate that the two parties have not been able to develop and establish a good level of satisfaction and trust in the intended cooperative paths and, consequently, it can be maintained that there is an almost weak level of communication and trust between Hormozgan University and business environments (i.e., industry) in these networks.

How organizations have interact each other is defiend in the region of organizing and inter-organizational relationship. There are two basic approaches to this issue: competition and collaboration. In the former, organizations are Competitors that compete each other to achieve their own goals. In the latter, the relationship between organizations is defined according to achieve common benefits and therefore, instead of competition, the organizations collaborate with each other.
An operational solution to develop collaborative trust-based relationships is Collaborative inter-organizational networks. In a collaborative network, all of the partners are considered as a unit identity in which the capacities and competeces of every member are used to gain competevie advanteges and maximise performance of the whole network.
Using the strategy of Grounded theory , this research represents the conceptual model of collaborative network in case of Aerospace. Three cheif part of this model are systematic design of stable network, strategic alliance and regulated and committed collaboration