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http://dx.doi.org/10.13088/jiis.2018.24.3.067

A Study on Intelligent Value Chain Network System based on Firms' Information  

Sung, Tae-Eung (Department of Computer and Telecommunications Engineering, College of Science and Technology, Yonsei University)
Kim, Kang-Hoe (SMEs Support Center, Korea Institute of Science and Technology Information)
Moon, Young-Su (SMEs Support Center, Korea Institute of Science and Technology Information)
Lee, Ho-Shin (SMEs Support Center, Korea Institute of Science and Technology Information)
Publication Information
Journal of Intelligence and Information Systems / v.24, no.3, 2018 , pp. 67-88 More about this Journal
Abstract
Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.
Keywords
Value Chain Network System(VCNS); Intelligent SMEs Information Support System; Inter-company Transaction Information; Product Deals Relationship Information; Similar(Competitive) Company Retrieval; Value Net Analysis; Value Chain Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Ahn, C.-H. "Case Studies on management innovation from the perspective of value chain of Korean manufacturing cooperation", Master's Thesis, Hannam University (2008), 5-16.
2 Chesbrough, H.W. "Open Innovation: The New Imperative for Creating and Profiting from Technology", Harvard Business School Press (2003).
3 Coh, B.-Y, J.-Y. Yoo, J. Seo and S.-M. Leem, "A study on quantitative industry analysis methods", Proceedings of Korean Operations Research and Management Science Society (Fall 2010), 255-261.
4 Cho, W.-H. "Analysis on Inudstrial Structure of Hospitals that Have Over 500 Beds", Journal of Health Policy and Management, Vol.8, No.2(1998), 25-57.
5 Coh, B.-Y., J. Y. Yoo, J. Seo and S.-M. Leem, "A study on quantitative industry analysis methods", Proceedings of Korean Operations Research and Management Science Society, Vol.2010, No.10(2010), 255-261.
6 Coh, B.-Y., I.-S. Song, S.-H. Kim, W.-D. Yeo, H.-W. Chun and J.-M. Lee, "Intelligent Technology Opportunity Discovery System for finding new business items and establishing R&D portfolio", Proceedings of Korean Technology Innovation Society (Spring 2015), 301-313.
7 Grundy, T., "Rethinking and reinventing Michael Porter's five forecs model", Strategic Change, Vol.15, No.5, (2006), 213-229.   DOI
8 Jang, J.-I. and S.-C. Hwang, "Building an Analytical Framework for Value Chain Approach to the Agro-Food Industry", Korean Journal of Food Distribution Research, Vol.27, No.1(2010), 63-88.
9 Jang, Y.-J. "Analysis on industrial structure of medium and small hospitals that have under 300 bed", Master's Theis, Yonsei University (Feb. 2001).
10 Korea Federation of SMEs, "SMEs status indicators in Korea", Annual Report (Dec. 2017), 2-3.
11 Lim, D.-H. and H.-S. Lee, "Methods for Information Analysis of Value Chains using Firms' Data", Proceedings of Korea Technology Innovation Conference (Fall 2015), 525-530.
12 Lee, W.-S., K.-H. Kim and B.-Y. Coh, "Research on the Function and Economic Effect of Technology Opportunity Development System", Journal of Korean Technology Innovation Society, Vol.14(2011), 1096-1127.
13 Lee, H.-S., K.-H. Kim, Y.-S. Moon and D.-H. Lim, "A Study on Value Chain Analysis Model Based on Enterprise Transaction Information", Proceedings of Korean Contents Conference (Spring 2018), 455-456.
14 Porter, M. E. Competitive Advantage : Creating and Sustaining Superior Performance, New York : The Free Press (1985).
15 Sung, T.-E., S.-P. Jun, S.-G. Kim, and H.-W. Park, "A Study on Web-based Technology Valuation System", Journal of Intelligent Information System, Vol.23, No.1(2017), 23-46.   DOI
16 http://ip.com/solutions/innovationq/, 2016.
17 Yoon, B. "On the development of a technology intelligence tool for identifying technology opportunity", Expert Systems with Applications, Vol.35(2008), 124-135.   DOI
18 Yoon, S.J. and M.Y. Kim, "A Study on the Intelligence Information System's Research Identity Using the Keywords Profiling and Co-word Analysis", Journal of Intelligent Information System, Vol.22, No.4(2016), 139-155.
19 http://www.boer.org/services.shtml/,"Technology Valuation Service by Tiger Scientific Inc.", 2016.
20 http://www.oceantomo.com/,"OceanTomo Ratings System Data Access and Report Pricing", 2016.
21 http://www.starvalue.or.kr/ 2018.