• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.103-130
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• 2018

It is generally understood that clusters are the promoters of innovation and therefore, the attention of researchers has been increasingly to discern the factors driving innovation among the firms in a cluster, especially in a high-tech cluster. In this study, we identify the variables capturing the nature of a firm that possibly impact the absorptive capacity of a firm and subsequently ascertain their impact on the degree of interactions between a firm, and other firms and associated institutions within and outside a cluster, respectively. Furthermore, we probe the influence of these interactions as a whole on firm-level innovation. The study was carried out in the context of Bengaluru, which houses the densely interconnected network of innovation-intensive high-tech manufacturing firms forming a high-tech manufacturing cluster. Data were drawn from 101 high-tech manufacturing firms belonging to electronics, machine tools, electrical and pharmaceutical industries. Based on the cluster analysis and subsequent graphical analysis on each of the three profiled clusters, it was found that size and origin of a firm have significant impact on the degree of firm's interactions. In turn, higher dynamism of firms in terms of degree of interactions led to higher innovation performance.

• Journal of the Korean association of regional geographers
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• v.18 no.3
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• pp.298-309
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• 2012

This paper studies the characteristics of the network of the Zhongguancun Cluster, the most representative innovative cluster of the high-tech industry in China at present. For this study, Zhongguancun Cluster was the first high-tech cluster created in China in 1988, the current Zhongguancun Cluster plays a leading role in the development of the high-tech industry in China. In addition, the Zhongguancun Cluster has attracted global attention and helped elevate China as a key region in terms of research development in relation to the high-tech industry. With regard to the spatial characteristics of the network belonging to the companies in Zhongguancun Cluster, purchase and producer services and information and R&D network have a strong tendency to be local, while on the other hand the product sales network has a strong tendency to be non-local. It is because the political support supplied by the government, institutional base that provides high-tech companies, producer services and information regarding producer services is relatively well prepared and managed in Zhongguancun Cluster. The spatial characteristics of the R&D network have a very strong local character is due to the location of the Zhongguancun Cluster where companies, universities and research centers with outstanding research development capacity as well as various support organizations for technology innovation within the cluster are included. On the other hand, because the high-tech products produced in this area are sold all across China as well as in foreign countries, the product sales network has a strong non-local character. Strengthening the local network in terms of the main agents of the cluster is the most important aspect in order to develop a certain industrial cluster into an innovative cluster. In this respect, if the Zhongguancun Cluster is seen from the perspective of a network, it has a basic network foundation. However, to strengthen international competitiveness, not only the local network but also the international network should be strengthened.

• Korean System Dynamics Review
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• v.7 no.2
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• pp.133-148
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• 2006

This study suggests a Causal Loop Diagram(CLD) of causality mechanism which are integrating matters of localization, networking, embeddedness & institutional thickness and collective learning. These five factors(localization, networking, embeddedness & institutional thickness, collective learning, innovative synergy) have been studied and proofed Also this study suggest a model of industry cluster based on holistic and global system thinking rather than local and linear thinking.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.550-569
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• 2012

This paper studies the R&D network of the Zhongguancun Cluster, the most representative innovative cluster of the high-tech industry in China at present. For this study, Zhongguancun Cluster was the first high-tech cluster to have been created in China, the current Zhongguancun Cluster has played a leading role in the development of the high-tech industry in China. In addition, the Zhongguancun Cluster has at helped elevate China as a key region in terms of research development in relation to the high-tech industry. In particular, companies evaluate the research development network culture of Zhongguancun cluster positively and this increases their tendency to approach the research development network with an open mind. The main contents in research development network are as follows; (1) joint or consigned research development and technology transfer in the case of research development network between companies, (2) joint or consigned research development, human resource support and employment, technical advice and consultant and technology transfer in the case of industrial-educational relationships (3) joint or consigned research development, technical advice and consultant and technology transfer in the case of industrial-research relationships, (4) financial support and participation in joint research development project held by government in the case of industrial and governmental relationships (5) financing for research development, utilization of research human resources, purchase of research development and use of research development equipment for mediators. The main difficulties in creating a research development network are 'lack of mutual trust', 'financial problems of companies' and 'lack of information'. Especially, the main key obstacles for the most important research development network between industry and government in the case of the Zhongguancun Cluster are 'complicated and strict procedures. Therefore, more accurate and detailed understanding of the conditions and the following institutional measures from government are required for research development among companies.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.225-235
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• 2006

Not a few nations have tried to copy the success of Silicon Valley since 1980's. Research of information communication industry cluster has emerged in Korea since 1990. In this background this paper thoroughly reviewed scholarly literature related to industry cluster with an attempt to extract dominant factors for cluster formation, and designed a survey instrument to measure the status-quo of cluster formation of software industry in Chungbuk Province Korea, as an example. Based on the results from statistical analysis a strategic scheme was proposed to propel software industry cluster formation in the region.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.1
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• pp.1-27
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• 2004

In this paper we attempt to explore the institutional and clutural milieu of high-tech venture business cluster in Daegu City and provide policy implications for creating sustainable high-tech venture businesses cluster. Although since 1998 the Korean government has made explicitly a great deal of efforts to help attract and create high-tech new start-ups in non-capital cities such as the support of business incubating centers and the establishment of real service centres, it reveals that such policies are not so successful in creating a sustainable venture ecology. One of the most critical resions is that such policies are centred simply on building physical infrastructure such as incubating space and service centre with less concern with promoting venture business cluster reflecting cultural and institutional specificities in a given region. In this respect we argue that the focus of industrial policies to support promoting high-tech venture business clusters in non-capital cities urgently need to move towards to make it for firms to encourage entrepreneurship driving innovation and to create social capital incucing trust and networks amongst firms, universities, public &privite supporting agencies, together with the building up of physical infrastructure the existing policies have done.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.2
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• pp.51-57
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• 2016

The aim of this study is to examine of the cluster approach to ensure high rates of innovation, information and communication enterprises of information technology cluster in order to enhance the competitiveness of regions. Keeping with the previous literature, the present research determined that the novelty of the problem, concerning of the creation IT clusters as drivers of new generation, i.e. a kind of platform of "startup accelerators" through the creation of previously not existing in the country high-tech industries and sectors of the economy. The study employs system approach involves to determine prospective directions of the formation of clusters of IT industry, also applies structured approach to shows relationships between elements of cluster systems (participants of cluster), as well as focusing on some aspects of cluster development such as networking. Based on this analysis we have proposed to create clusters in regions, which can play the role of translator's innovations at the periphery of the country. This research shows that formation of IT clusters is one of the most successful tools to avoid of dependence of Kazakhstan from raw materials.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.7-15
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• 2018

Purpose - The development of Anhui high-tech industry is the key to transforming the mode of economic development and optimizing the industrial structure. Research design, data, and methodology - The data of paper that is the data of Anhui province and the six provinces of central China from 2010 to 2015, which analyzed the present situation of High-tech industry in Anhui Province by means of data comparison and literature analysis, and then explored several possible modes of undertaking. Results - With the analysis of the current situation of the development of high-tech industry in Anhui Province, several possible modes for undertaking the transfer of high-tech industries in Anhui Province were explored: The mode of undertaking of Leading Enterprises + Industrial park, the mode of undertaking of differentiated development + Regional comprehensive exploitation and the mode of undertaking "Dynamic industrial Chain" + industrial cluster. Conclusions - Based on the perspective of industrial upgrading, this paper analyzes the shortcomings of Anhui Province in the traditional mode of undertaking industrial transfer and expounds the inherent requirements of innovation industry undertaking. Finally, on the basis of the above analysis, the author explored three possible modes of acceptance.

• Journal of Korea Technology Innovation Society
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• v.5 no.2
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• pp.167-188
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• 2002

Summary: This paper analyzes Indian software industry in the perspective of innovation cluster. The research shows that the software industry has been following an upstream clustering process, where the major value activity is expanding from low value product/services to high value product/services. The growth of software industry could be successful because there was appropriate initial condition of Bangalore, such as the availability of high qualified human resources, excellent research institutes, small high-tech companies. The role of government was helpful for the late growth of software industry but not a critical factor for the initial development of the S/W cluster. It is suggested that government should consider the initial condition of a concerned location critically to implement a cluster-type innovation policy.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.23-43
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• 2005

Industrial clusters are geographical concentrations of interconnected companies, specialised suppliers, service providers, firms in related industries, and associated institutions (for example, universities, standard agencies, and trade associations) that combine to create new products and/or services in specific lines of business. At present, the concept of industrial cluster becomes very popular worldwide, policy makers at national, regional and local levels and business people in both forerunner and latecomer countries are keen to implement the cluster concept as an economic development model. Though understanding of clusters and related promoting policies varies from one place to another, the underlying benefits of clusters from collective learning and knowledge spillovers between participating actors strongly attract the attention of these people. In Thailand, a latecomer country in terms of technological catching up, the cluster concept has been used as a means to rectify weakness and fragmentation of its innovation systems. The present Thai government aspires to apply the concept to promote both high-tech manufacturing clusters, services clusters and community-based clusters at the grass-root level. This paper analyses three very different clusters in terms of technological sophistication and business objectives, i.e., hard disk drive, software and chili paste. It portrays their significant actors, the extent of interaction among them and the evolution of the clusters. Though are very dissimilar, common characteristics attributed to qualified success are found. Main driving forces of the three clusters are cluster intermediaries. Forms of these organizations are different from a government research and technology organization (RTO), an industrial association, to a self-organised community-based organization. However, they perform similar functions of stimulating information and knowledge sharing, and building trust among participating firms/individuals in the clusters. Literature in the cluster studies argues that government policies need to be cluster specific. In this case, the best way to design and implement cluster-specific policies is through working closely with intermediaries and strengthening their institutional especially in linking member firms/individuals to other actors in clusters such as universities, government R&D institutes, and financial institutions.