• Title/Summary/Keyword: 가치사슬외부 네트워크

Search Result 7, Processing Time 0.019 seconds

The Effect of Technology Startups' Value Chain Internal and External Network Activities on Competitive Advantage Through Dynamic Capabilities (기술창업기업의 가치사슬내부 및 외부 네트워크 활동이 동적역량을 매개로 경쟁우위에 미치는 영향)

  • Hong, Inki;Kim, Hyung-Jun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.17 no.5
    • /
    • pp.17-30
    • /
    • 2022
  • It has been verified in several studies that dynamic capabilities has a very important effect on the competitive advantage of technology startups. And the network has an important influence on this dynamic capability. This is even more important for start-ups that lack the resources and knowledge. Networks that directly and significantly affect dynamic capabilities have been studied mainly the value chain internal. However, network activities of start-ups are conducted not only with the value chain internal networks but also with the value chain external networks. Therefore, it is necessary to study the effect of the value chain internal and external network activity of start-ups on the dynamic capabilities, but prior studies are lacked. In this study, We make a model that encompass the value chain internal and external network for technology startups, and a study was conducted to demonstrate the effect on dynamic capabilities and competitive advantage. As a result of the study, value chain internal network activity directly and significantly affected dynamic capabilities, and value chain external network activity did not directly significantly affect dynamic capacity. And dynamic capabilities had a significant effect on competitive advantage. As confirmed through additional research, value chain external network activity affects value chain internal network activity, and through this, dynamic capabilities are strengthened, and positively affect competitive advantage.. The intensity of value chain external network activity was not significant to dynamic capabilities and the diversity of value chain external network activity had a significant effect on the competitive advantage by double mediating the value chain internal network activity and dynamic capability. Through this study, it is confirmed that the value chain internal networks is important in order for startups to strengthen their dynamic capabilities and increase their competitive advantage, and that both strong and diversified the value chain internal networks positively affects competitive advantage by enhancing dynamic capabilities.

The Value chain and the Networks of Apparel Industry in Guro-Gasan, Seoul (서울 구로.가산동 의류패션산업의 가치사슬과 네트워크)

  • Lee, Sang Wook;Kim, Kyung-Min
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.17 no.3
    • /
    • pp.465-481
    • /
    • 2014
  • This study is about an apparel industry in Guro-Gasan where is growing up to the one of the apparel industry cluster beyond an agglomeration in Seoul. The purpose of this study is twofold: (1) to define industrial functions and roles of Guro-Gasan in a value chain of the apparel industry; and (2) to understand whether an industrial cluster is built on the local networks. This study reviewed formation and transitions of its local industries and industrial size, characteristics, spatial distribution and spatial properties using GIS analysis and field surveys. Through in-depth interviews, it analyzed the production system and spatial dispersion of the value chain to understand its functions and roles.

  • PDF

Tracing the Evolution of the Global Production Network Discourse: An Alternative to the Firm- and Industry-Centered Governance Analysis (글로벌 생산네트워크 담론의 진화: 기업 및 산업 중심 거버넌스 분석을 넘어서)

  • Lee, Jae-Youl
    • Journal of the Korean Geographical Society
    • /
    • v.51 no.5
    • /
    • pp.667-690
    • /
    • 2016
  • This paper reviews the evolution process of global production network(GPN) discourse, from its origin to the recent theorization, namely GPN 2.0. In so doing, the discursive formation of global production networks is introduced in comparison with a competing discourse global commodity/value chains, with particular attention to conceptual and analytical lacunae in the latter. This article also outlines how the global production network perspective has become a useful discursive and practical tool that allows the examination of the nexus of global economy, transnational corporations, and regional development. Subsequently, a theoretical dearth in the approach is discussed in reference to key critiques, and in this context Yeung and Coe's recent theorization GPN 2.0, which is centered on casual mechanisms and network configurations is reviewed. This paper suggests that the theory adequately addresses the problem of casuality lacking in its precedented conceptual framework, and that it helps exploring the formation and evolution processes of varied production networks(including intrafirm coordination, interfirm control, strategic partnership, and extrafirm bargaining) in connection with competitive dynamics and risky environments. As a result of the theorization, the difference between GPN and the chain approaches has become more apparent, and the idea of extrafirm bargaining is particularly important in the differentiation. Extrafirm bargaining is seen to be a comprehensive networking form inclusive of such GPN 1.0 analytical concepts as value, embeddeness, and power, and research attentive to, and engaging with, the extrafirm networks is expected to help transcending the chain governance approaches' analytical excess of interfirm linkages and industry-centeredness.

  • PDF

Business model innovation strategy for sustainable value creation in corporation (기업의 지속적인 가치창출을 위한 비즈니스 모델 혁신 전략에 대한 연구)

  • Shin, JoongKyung;Kim, A-Rang;Ha, Kyu-Soo
    • Journal of Digital Convergence
    • /
    • v.11 no.4
    • /
    • pp.153-164
    • /
    • 2013
  • Business model innovation creates differentiated value to customers by transforming various elements of doing business. Rather than focusing singularly on either the external or internal environment, the business model innovation aims to identify the optimal combination of internal resources, competence, and the external factors, such as customer's needs and new opportunity. However, due to lack of clear definition of business model innovation, and inability to generate company's core business model, business model innovation has been difficult for companies to lead next growth. This paper reviews existing definitions of business model innovation and explore existing types of business model innovation and timing of business model innovation through two case studies. Concept of business model innovation which we identify, is composed of value proposition, value creation through value chains and networks, and profit model innovation. Finally, we demonstrates that already successful businesses can also create new values through business model innovation and adaptive advantage, even in a rapidly changing market environment.

A Hint of Crisis Resilience of Industrial Agglomeration: The Production Networks and Spatial Characteristics of Dongdaemun Fashion Industry (산업집적지의 위기와 회복 가능성: 동대문 패션산업 생산네트워크와 공간적 특성)

  • Chung, SunWha
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.23 no.1
    • /
    • pp.18-34
    • /
    • 2020
  • This study aims to investigate Dongdaemun fashion industry once thrived in Seoul, now in a rapid decline. For this purpose, three research themes are put forward. That is, to fix the boundary of Dongdaemun fashion industry, to analyze the characteristics of its value chain, production network and industrial agglomeration, and to search for the cause of its decline and to suggest political solutions against it. The following is the findings of this study. Firstly, Dongdaemun fashion industry has spreaded out over the last six decades and now its boundary can be marked within a radius of 10 kilometers of Dongdaemun Market in northeastern Seoul. Secondly, Dongdaemun fashion industry has a buyer-driven chain and star production network, and therefore can be assumed that it is spatially segmented industrial agglomeration. Lastly, its rapid decline is directly from the shrink of market demand on Dondaemun fashion, and inherently in the topological structure of its star production network. Thus the feasible political solutions can be found in that direction. Consequently, these results have academic implications for clearing up some previous studies' misunderstandings and getting over one of the long-criticized research biases that pervades in industrial agglomeration theory, primarily focusing on the successful regions.

Researching Internal and External Stakeholder Orientation of Sustainable Supply Chain Management (조직 내·외부이해관계자의 사회적 책임 지향성이 지속가능한 공급사슬 관리에 미치는 영향)

  • Kim, Gyeong Mook
    • Korean small business review
    • /
    • v.42 no.4
    • /
    • pp.173-212
    • /
    • 2020
  • Interest in sustainable management based on the stakeholder perspective is expanding not only within an organization but also across the supply chain. For large companies that have established networks, sustainability management of the supply chain is now a factor that not only determines the social performance of the company as a whole, but also determines its long-term competitive position. Despite these changes in the business world, especially the proliferation of the sustainable supply chain management (SSCM) system, systematic research on SSCM has been lacking. In particular, there was a lack of empirical analysis on which factors promoted the establishment of the SSCM system for large companies and what's the effects of SSCM. In this regard, this study analyzes i) the impact of the social responsibility pressure of customers as external stakeholders and the CSR orientation of purchasing managers as internal stakeholders on supply chain transparency and partnership cooperation respectively, and ii) whether supply chain transparency and partnership cooperation can enhance corporate reputation. The samples used in this study were 69 large companies representing Korea. The results showed that the social responsibility pressure of customers and the purchasing manager's CSR orientation were positively related to the transparency of the supply chain. However, for partnership cooperation, only the purchasing manager's CSR orientation was found to have a positive and significant effect. Meanwhile, both supply chain transparency and partnership cooperation were positively related to the corporate reputation. At the end of the study, discussions on the implications of the results and future research directions will be presented.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
    • /
    • v.24 no.3
    • /
    • pp.67-88
    • /
    • 2018
  • 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.