جستجوی مقالات مرتبط با کلیدواژه « Industrial Cluster » در نشریات گروه « مدیریت »

The purpose of this study is to provide a model for the development of industrial clusters (studied in the plastics industry). The research method is qualitative and content analysis. The participants of the research are managers, professors and business owners of plastic units up to 12 people after theoretical saturation and purposefully criterion (professors with minimum rank of assistant professor and at least 5 years of experience, Managers of active companies consisted of at least 5 years of experience and at least a master's degree. Data were collected through semi-structured interviews and data analysis was done through thematic techniques. To evaluate the validity of the research, the method of triangulation of data sources (using different data sources to draw results) was used. Holst reliability coefficient was also used to evaluate the reliability. The results show that the development indicators of Iran's plastic industrial cluster include "supply of raw materials (creation and identification of recycling units; center for supply, supply and distribution of raw materials; formation of raw material supply network)", "supply of machinery (design and mold "Building; benefiting from new technologies; supporting the production of domestic technologies)", "Development of sales and exports (marketing; product quality; branding)", "Government institutions (legal support; cooperation; financial support) ) "," Business service providers (after-sales service; manpower training; responsibility) "and" company management (having technical and specialized knowledge; time management; planning; communication skills; Influence and influence). Using the in the plastics industry can lead to the development and export of products of this industry in the region.

Despite the considerable number of small and medium size enterprises, their impact on the economic area is not remarkable due to the existing limitations in the area of financial resource, human resource, market accessibility and market information. Since most of the active enterprises in industrial clusters are small and medium enterprises, and considering that the characteristics of the industrial cluster affect the function of active enterprises within the cluster and these features facilitate marketing and export activities, One of the most significant ways to overcome these limitations is to organizing and strengthening of the powers of the small firms through the establishment of network and common collaboration between enterprises in the export area as well as the design of a model for the establishment of export consortia. In this research, the goal is providing a model for the creation of export consortia in the context of industrial clusters, information resources from semi-structured interviews with cluster development agent, managers of industrial units that involved in industrial clusters and the study of institutional documents, were collected. It identifies the dimensions, components and features that influence the establishment of a successful export consortium according to the grounded theory by doing open, axial, and selective coding. In addition, 205 concepts were categorized in the form of a model into 26 sub-categories and 6 main categories including causal conditions, main phenomena, executive strategies, underlying factors, confounding factors and consequences. By receiving expert opinions on industrial clusters and export consortiums with a successful or unsuccessful experience through statistical analysis of the questionnaire and using the Analytic Hierarchy Process (AHP) and through identifying the weight of each category and concept, their relative importance in the success of export consortia was discussed. The proposed model incorporates all the factors that contribute to the establishment of successful export consortia and can be used as a comprehensive model.

It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing solutions to improve, progress and development of clusters has always been a concern for researchers and specialists.The aim of this study is to provide a mechanism for pricing process of the product in this industrial-economic phenomenon; So that the structure of the proposed model is defined based on mechanisms and activities of the components of industrial clusters. The proposed pricing process is presented based on the concept of Stackelberg game theory and tariff pricing strategy, and in order to solve the model in production level of cluster, a meta-heuristic genetic algorithm is used. Finally, the performance and efficiency of the proposed model is studied in the form of a numerical example, and using the parameter tuning Taguchi method the optimal value of the model variables are presented. Based on the obtained results, the optimal wholesale price of cluster’s products are determined and each manufacturer select the appropriate tariff based on its optimal demand.

According to the literature, the process of development and improvement of the cluster is dependent on complete cognitive studies prior to the implementation of the cluster, which leads to the identification and resolution of problems and facilitates constraints that prevent the achievement of productivity in the cluster. This study carried out a field study using a phenomenographic approach to identify problems and cluster constraints of carpet industry in Sistan and Baluchestan province. The study cluster includes many number of private and public companies involved in this field, known as beneficiaries, and more than 6,000 workforce and weavers. Phenomenographic analysis shows that, in terms of beneficiaries, structural and behavioral social problems, cluster activities limit the achievements of the achievement. In addition, the constraints of the province in the successful implementation of the cluster have caused difficulties at higher levels. Finally, the study ends with the presentation of the outcome space and applied concepts and studies.

A Cluster Development Agent (CDA) according to his specific roles and tasks in different stages of cluster development process – which includes 5 different stages based on UNIDO cluster development model, namely: cluster selection, CDA selection, diagnostic study, vision building and action planning, implementation and finally monitoring and evaluation – requires a different set of competencies in each stage. This study examines competencies which are of the most important and also critical prerequisites for the success of the cluster development project. Accordingly, investigating the trustworthiness of the CDA from the perspective of cluster stakeholders, as well as his ability to create and enhance the level of trust between cluster members, is the main subject of this research. In fact, the main goal of this research is identifying competencies that increase the trustworthiness of the CDA and develop the level of trust within the cluster. In this qualitative study with a narrative approach, using profound and semi-structured interviews with 16 cluster developers and six cluster stakeholders, the competencies were identified and determined. These competencies include the ability to: sensitizing stakeholders, create partnerships, persuasion, and finally creating added value.

Based on international standards and directives of international organizations which lead the industrial clusters, successful implementation of such clusters involves some preliminary measures. An example of these is the challenges related to the cluster needed to identify the supporting and limiting factors pertaining to it. A study of the existing resources showed that the developing countries have already started the implementation of cluster strategy; however, unlike their noticeable endeavors in this regard, they haven’t yet acquired satisfactory results.  Applying phenomenographical approach, an empirical study was conducted to identify obstacles and constraints facing the carpet industry cluster in Sistan and Baluchestan province of Iran. This cluster contained 23 private and public firms involved in the carpet industry and more than 6000 weavers and other relevant human resources. Phenomenographical analysis shows that from the viewpoint of stakeholders, structural problems together with the special conditions of this province, which are referred to as contextual factors, have created a limiting environment for successful performance of the cluster.

Industrial clusters bring member firms the opportunities and advantages to save resources and increase competitiveness through cooperation and joint activities. One of these opportunities is knowledge sharing, using shared resources. If cluster firms want to create knowledge directly or acquire it out of the cluster, it is necessary to spend much money and time. The aim is to maximize knowledge transfer between firms of a cluster regarding budget and time limitations, using existing knowledge flow networks. The issue is formulated with a new model of mixed integer programming and solved by the CPLEX solver for Semnan plaster production industrial clusters. The results of sensitivity analysis show that knowledge transfer is much more influenced by budget than by time constraints. The results help cluster managers to have a better understanding, regarding the available resources and business conditions, to maximize the results obtained from the knowledge transfer.

The purpose of this study is to investigate the effects of cluster on organizational compliance and organizational learning. The purpose of research is applied, in terms of nature and method, descriptive-survey of correlation type. Statistical population composed of employees in industrial cluster units of Kurdabad (660 staff) and the cluster units of science and technology of Hamedan province (280 staff), respectively, from the industrial cluster of 248 employees and from the science and technology cluster of 162 employees were selected as samples by relative class method. The data collection tool was a standard questionnaire. The reliability of the questionnaire was verified through Cronbach's alpha and validity through confirmatory factor analysis. In order to analyze the path analysis model, T-test and Levine test, we used the Sobel test to analyze the median variable. The analysis results indicated that the cluster directly and indirectly through organizational learning affects on organizational compliance. Organizational learning has a direct and significant effect on organizational compliance. But in comparing cluster science and technology cluster with industrial cluster in terms of organizational compliance and organizational learning, the cluster of science and technology is better off.

Creating industrial clusters is one way to increase the productivity and performance of organizations; however, clusters run by human resource professionals will bring about better results. The purpose of this study is to investigate the role of human resource professionals’ mediation between industrial clusters relations and corporate performance. The statistical population was the staff of more than 1,000 cluster units of pottery and ceramic pottery in the city of Bahar in Hamadan province with 800 personnel, from among of whom 260 subjects were selected according to Krejci and Morgan’s table using relative classification sampling method. In terms of purpose, the research was applied and in terms of nature and methodology, it was a descriptive-correlational survey. The data collection tool was a standardized questionnaire consisting of 36 questions. The reliability of the questionnaire was verified through Cronbach’s alpha and its validity was computed through confirmatory factor analysis. The results of path analysis model show that industrial clusters relations can have a significant and positive effect on the performance of the companies both directly and indirectly. To examine the mediating role of HR professionals, Sobel test was used, which confirmed the related hypothesis. The results also show that human resource professionals indirectly affect the performance of companies.

In today's competitive world, maintaining competitive power of industries is the requirement of remaining in the competition. In the case of small industries, it also needs to think about strategies of making the industries more competitive in order to survive and have successful activity in competition. In many countries, one of the methods that have gained successful experience in increasing competitive power of SMEs is clustering these firms in a frame of “industrial clusters”. Considering the importance of industrial clusters’ role in regional economic development programs, providing the solutions of improving the performance of the clusters was always a concern for researchers and specialists of this field.
In this study, the process of product pricing as one of the most important factors which affects the profitability of industrial clusters is discussed by game theory approach. The proposed model focuses on the structural differences between supply chains and industrial clusters where the concept of Stackelberg game and bilevel programming model is used to determine the price of cluster’s products. In order to test the validity of the proposed model, the stone cluster data of Tehran are collected and using MATLAB software they are implemented in propose pricing game. Then, the results of the Stackelberg game between leader and cluster’s Stakeholders is been analysed.

Industrial clusters are one of the new approaches in industrial development of developing countries which has recently attracted the attention of many researchers and policy makers. Clustering has positive economic effects on the region and also increase the competitiveness of the small and medium enterprises (SMEs).But success level of all clusters is not the same because their performances are different. The subject of clusters performance has various aspects and contains a wide range of result areas. This is due to cross-organizational nature and complexity of the internal functions and external effects of cluster as a comprehensive model of industrial cluster performance dimensions have not been presented so far.Precise definition of performance dimensions can reduce (part view) which is based on point of view to clusters and also study of cluster development proceedings with comprehensive approach can be applicable. This study aims to identify the performance dimensions of industrial clusters by classifying the performance measures of industrial clusters and present a model for comprehensive evaluation of industrial clusters performance. For data analysis the method used in this study is cluster analysis which integrated the Classifications of 31 experts used heuristic method and based on that, four performance dimensions of industrial clusters including financial, competitive, economic and environmental along with components and measures of each were extracted.

Due to important role of marketing networks in the process of maturation of industrial clusters, this study aims to design a model of marketing network formation in Iran’s industrial clusters context. Applying a grounded theory approach, we interviewed with the clusters promotion agents and managers involved in the networks, and collected organizational documents, as required by the study. Using open, axial and selective coding technique, a model of marketing network has been formed. Results show that the shared motivation of partners to solve common problems or exploit marketing opportunities is the main cause of the formation of marketing network. Marketing networks include a wide range of formal and informal networks that are formed during five stages; the inception, formation of initial core, tension, organizing and action. The cultural, historical and institutional context of cluster, personality of managers/ owners, characteristics of network promoter agent and firm's structural characteristics affect networking activities. The major advantages of networking are reducing marketing costs and stimulating competitiveness among the network members. The findings also suggest that strengthening networking capabilities, may help the managers to promote their own businesses.

Approaches to economic and industrial developments changed enormously in late twentieth century. And cluster-based industrial development attracted the attention of planners and policy makers from developing and industrialized countries as a new strategy. The purpose of this study was to identify and prioritize the factors affecting the creation of Saravan Dates industrial cluster. This is an applied quantitative study and was conducted by a descriptive survey in Saravan region. Judgment sampling was used and the statistical population was 56 experts of Saravan dates industrial clusters. To identify the factors that created the cluster، library studies and a structured interview (Delphi method) were used with the assistance group of experts and to mitigate the factors، we used the software spss19. And because certain factors were interdependent with each other، the technique of network analysis was used to examine the relative importance of these factors and then they were prioritized using Super Decisions software. The results showed that geographic focus and communication between the entities were the most and the least influential factors on the creation of dates industrial cluster in this region.

The aim of the present study is to identify and prioritize the growth strategies used by 74 active SMEs in "Gaze Boldaji" industrial cluster. In the first phase of the research, we used unstructured interviews with 10 managers of cluster and businesses in order to identify the strategies. In the second phase, we designed questionnaires based on the interviews to prioritize the strategies and were distributed among 58 of business executives. We used the available sampling to choose cluster managers, stratified random sampling to choose business managers and random sampling to distribute the questionnaires.For the analysis of the texts of interviews, the content method was used and for the analysis of the data derived from the questionnaires a single sample t-test and Friedman methods were used. The results showed that the strategy of "increasing sales", "development of public relations and information about products", "selling products in new areas" and "improvement of existing products," were the most frequently used strategies and the "focused strategy" was introduced as the first priority among the growth strategies in this cluster.

Small and medium enterprises due to their inherent limitations and obstacles can be produced from a high to attend are not world class. This created challenges and cause problems for the firms to participate in global competition. The purpose of this research get in the role of industrial clusters empower small and medium manufacturing enterprises [Gold making] to achieve advantage continuous fields such as quality, cost and flexibility [in producing world class] is. Cluster impacts on firms within it are two categories of structural factors [external benefits] and developmental factors, divided. structural factors; According to research results between cluster factors [structural factors and development] and production of world class relationship is positive and significant and it means that factor with increasing impact on enterprises producing clusters of gold making, access to world-class production.

Industrial clustering is of a great importance in almost every country throughout the world nowadays. In Iran, accordingly, there has been an increase in the tendency towards industrial clustering in the scientific and decision-making centers as well as the country’s development programs. The unavoidable competitive necessity is the most important issue in clustering and cluster-related policies. In fact, competitiveness is the thermometer of assessing and measuring the success of clustering. The study is devoted to review of literature under “competitiveness”. Next, industrial clusters and competitiveness assessment models in clusters is brought under deeper consideration. Later, Chabahar Fishery’s industrial cluster in the GEM model framework along with its factors used for identifying influential factors in the competitiveness of industrial clusters reviewed is introduced. GEM model is reviewed and applied to identify the important factors on competitiveness in Chabahar Fishery’s industrial cluster. Due to the large number of factors involved, factor prioritization questionnaire s were provided and passed out among experts of the Chabahar Fishery’s Industrial Cluster. Then influential factors were identified and since some of the factors were interrelated, the relative importance of these influential factors was investigated using ANP technique. Here, the prioritization of these factors was done by Super Decision software and in the end based on the acquired results, there have been proposed some strategies for the purpose of increasing competitiveness in Chabahar Fishery’s industrial cluster.