• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.3
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• pp.47-57
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• 2018

The purpose of this study is to grasp the correlation between network and firm's performance by analyzing the perception and characteristics of network of business founder and investor from the perspective of the network. We selected a TIPS support program which is evaluated to be a best practice as a research target for empirical analysis. The empirical results using social network and statistical analysis, shows that the stronger the investor's network connectivity, the more likely it is that the investor's start - up succeeds in attracting subsequent investment. In addition, both the entrepreneurial team and the management think that the internal human network between the enterprise and the investor plays an important role in inducing investment or exploring the company, and recognizes that the value of the human network will have a significant influence on the enterprise value evaluation or investment decision.

• East Asian Economic Review
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• v.28 no.1
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• pp.3-35
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• 2024

This paper utilizes social network analysis to examine the structural characteristics and trade dynamics of the renewable energy (hydropower, wind energy, and solar energy) trade network within the RCEP region from 2011 to 2020. The findings reveal: (1) The renewable energy trade network within the RCEP exhibits dynamism, heterogeneity, and an uneven development. The solar energy network is the most balanced and stable, while the wind energy network lags and shows marked fluctuations, with the hydropower network falling between these two. This demonstrates the diversity of energy trade within the region. (2) China, Singapore, and Japan are identified as the key exporting and importing countries, with Vietnam showing substantial growth potential. Individual analyses shed light on the stark disparities in trade status among nations, reflecting the diverse roles and future potential of member countries. (3) The QAP regression analysis reveals a significant influence of environmental pressure, particularly carbon dioxide emissions, on the renewable energy trade network. This study contributes to promoting environmental sustainability and energy security in the RCEP region and provides empirical evidence for global renewable energy trade strategies.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.223-230
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• 2020

Companies have made an investment of cost and time to optimize processing of a new business model in a cloud environment, applying collaboration technology utilizing business processes in a social network. The collaborative processing method changed from traditional BPM to the cloud and a mobile cloud environment. We proposed a collaborative system for operating processes in social networks using MOXMDR-DAI+ (eXtended Metadata Registry-Data Access & Integration based multimedia ontology). The system operating cloud-based collaborative processes in application of MOXMDR-DAI+, which was suitable for data interoperation. MOXMDR-DAI+ applied to this system was an agent effectively supporting access and integration between multimedia content metadata schema and instance, which were necessary for data interoperation, of individual local system in the cloud environment, operating collaborative processes in the social network. In operating the social network-based collaborative processes, there occurred heterogeneousness such as schema structure and semantic collision due to queries in the processes and unit conversion between instances. It aimed to solve the occurrence of heterogeneousness in the process of metadata mapping using MOXMDR-DAI+ in the system. The system proposed in this study can visualize business processes. And it makes it easier to operate the collaboration process through mobile support. Real-time status monitoring of the operation process is possible through the dashboard, and it is possible to perform a collaborative process through expert search using a community in a social network environment.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.127-139
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• 2013

With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.77-84
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• 2013

In this paper, we focus the changing role of universities of University-Industry Collaboration (UIC) for enriching the regional business ecosystem network. For this research, we analyze 'Regional Innovation System(RIS)' - a specific UIC program- which provides a marketing service for firms, especially, SMEs with a specific problem by a group of consultants including CEOs, professors, and heads of regional public or private service providers. Then we have analyzed using network analysis how the business network was changed from RIS. Moreover, we will interview the participants in the important position of the network and investigate the reason for bringing a change in the network structure by using this program. This study illustrates that various types of network are formed between university and SMEs. Furthermore, the networks surrounding SMEs are extended to the other people connected to them. This means that the business network of SMEs had been diversified via the facilitation of university. This study throws new highlights on the new role for the university as a network promoter in addition to the partner as a technology-provider in the regional business ecosystem. Moreover, the network analysis between before-and-after can be used for the evaluation of the effectiveness of the various UIC programs.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.129-135
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• 2019

Recently, it is anticipated that 5G network would play the significant role of the neural network for 4th generation industry revolution and create huge value for the new market. However, in spite of proliferating prospect of 5G network industry and leading position in the launch of 5G, network operators have hesitated to give their full support to establishing proper network. Due to the lack of business models promoting 5G industry, network operators feel that they will not realize the return from the exorbitant investment in 5G network establishment. Moreover, the rigorous research efforts to investigate and analyze the various business environments regarding 5G rarely exists. Therefore, the purpose of the research is to holistically propose the research issues related to the technology, service providing method, governmental policy, and business models in commercializing and promoting 5G network.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.4
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• pp.19-41
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• 2007

This research has a goal which is suggesting the way of constructing 'Cluster' which mean scheming the commencement of an enterprise in an early stage. Now it is reorganized into a IT industry structure 'Time-to market growth' is burst as a big issue. in that point, this research analyze the core success factor which is drawing from the existing IT industrial complex, and then it will be used to draw up to the 'Idealistic growth-support Cluster' on the basis of it, we pulled out various issues about the Corporate in the early stage of its growth. Therefore, this research is focused on presenting the ideal network(net) by considering the Network that organizations and business in Cluster or the network including the factors linked organizations and business in Cluster. therefore, this research carried out three big analysis. from the case investigation we pulled out the core growth factor, and then we approached the analysis of net structure for making application to Network Analysis. and then we analyzed that the characteristics of the Network after measuring by on the basis of analyzing core growth factor. and especailly, this research carried out the Core analysis for recognition of Core- support-frame by base Centrality Test on the net which is composed of growth support organizations at each Business. Judging from this, we can help to make full use of resources for the network analysis in Cluster and establish the Network Strategy by Structure comparison between the structure of industry-Cluster and ideal Business-support networks on the basis of the analysis from the Core-success-factor

• Venture DIGEST
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• s.113
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• pp.47-47
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• 2007

• Venture DIGEST
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• s.111
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• pp.46-46
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• 2007

• Knowledge Management Research
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• v.12 no.1
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• pp.77-89
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• 2011

The purpose of this study is to examine the effects of social capital on the economic performance of Korean Business Residents in Japan and global competitiveness of Korea, and to find out social capital is the antecedent factor of these two variables. To serve the purpose of this study, we conducted the extensive survey on 153 Korean Business Residents in Japan in diverse industries. From the result, we identified that the economic performance becomes higher as the level of social capital increase, and the Korean Business Residents which has good performance affect the global competitiveness of Korea.