• 제목/요약/키워드: Market ecosystem development

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지속적 성장 관점에서 본 한국 스마트폰 산업 생태계 (The Ecosystem of the Smartphone Industry in Korea: Perspectives on Its Sustainable Growth)

  • 박진수;최영석
    • 경영정보학연구
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    • 제15권1호
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    • pp.25-43
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    • 2013
  • 한국의 스마트폰 시장은 그 성장세만큼이나 많은 변화를 거듭하고 있다. 이러한 가운데 2012년 5월부터 시행될 Whitelist Policy는 한국의 스마트폰 산업에 적지 않은 영향을 미칠 것으로 보인다. 본 사례 연구에서는 한국 스마트폰 시장을 산업 생태계 분석의 관점을 통해 바라보고, 스마트폰 시장의 생태계 모형을 제시한다. 이를 바탕으로 새로운 정책의 도입과 시장 변화를 스마트폰 산업 생태계의 각 주체들이 어떻게 대응해야 할 지에 대한 전략을 모색하고자 한다.

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시장 측면에서 본 양자컴퓨팅 산업 (The Quantum Computing Industry from a Market Perspective)

  • 조병선;이선재;정선화
    • 전자통신동향분석
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    • 제39권3호
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    • pp.58-68
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    • 2024
  • Quantum computing can be a game changer in all areas of economy security, and society, and it is expected to bring innovation to the entire industrial ecosystem. The competition in this industry is accelerating with various countries pushing for policies to preempt technology and maintain a technological advantage. The quantum computing market is expected to show commercial gains in 2027 as an inflection point. Initially, it is expected to replace the high-performance computing market. However the continuous growth of quantum computing will depend on the development innovative services such as ChatGPT in AI, and technological breakthroughs. We examine the definition and outlook, evolution and dynamics, and supply chain structure of the quantum computing industry in an attempt to unveil implications for its development.

글로벌 블록체인 경제 생태계 분류와 지능형 주식 포트폴리오 성과 분석 (A Study on Global Blockchain Economy Ecosystem Classification and Intelligent Stock Portfolio Performance Analysis)

  • 김홍곤;류종하;신우식;김희웅
    • 지능정보연구
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    • 제28권3호
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    • pp.209-235
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    • 2022
  • 블록체인 기술은 2010년 이후 인공지능 분야의 발전과 더불어 4차 산업혁명을 선도할 최신의 기술로 각광받고 있고, 기술의 활용 분야에 대한 연구가 활성화되고 있다. 그러나, 자본시장 관점에서 블록체인 경제 생태계를 분류하기 위한 기준과 관련된 연구는 거의 없는 상황이다. 본 연구는 자본시장 관점에서 블록체인 기술을 활용하는 개발자, 사업자, 자본시장 참여자 등 전문가를 대상으로 인터뷰와 사례 연구 방법론으로 블록체인 기술의 응용 분야에 따른 블록체인 경제 생태계를 분류하였다. 자본시장의 주식 투자와 연계해 활용할 수 있는 방안으로 블록체인 경제 생태계 분류 방법을 활용하여 투자 종목 유니버스를 구성하였다. 나아가 본 연구는 퀀트 및 인공지능 전략 기반 정성적, 정량적 분석으로 지능형 주식 포트폴리오를 구축하고 성과를 분석하였다. 이를 통해 블록체인 경제 생태계의 지속적인 성장 전망에 따른 성공적인 투자전략을 제시하였다. 본 연구는 블록체인의 표준화를 기술적 관점이 아닌 자본시장의 관점에서 블록체인 경제 생태계로 분류하고 분석했을 뿐 아니라, 실제 글로벌 우량 상장 주식을 대상으로 포트폴리오를 구축하고 양호한 성과를 달성할 수 있는 전략을 도출한 연구로서 시사점을 갖는다. 또한, 본 연구가 제안하는 블록체인 경제 생태계 기반 지능형 주식 투자 포트폴리오 구축 접근은 블록체인의 기술적인 가치에 초점을 맞춘 연구에 비해서, 투자론과 경제학적인 관점에서 통찰력을 제시해 자본시장 발전에 기여할 수 있다는 실무적 시사점을 갖는다.

Examining the Generative Artificial Intelligence Landscape: Current Status and Policy Strategies

  • Hyoung-Goo Kang;Ahram Moon;Seongmin Jeon
    • Asia pacific journal of information systems
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    • 제34권1호
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    • pp.150-190
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    • 2024
  • This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

클라우드 서비스 파트너 역량 분석 프레임워크 개발 (A Development of Cloud Service Partner Competency Analysis Framework)

  • 박원주;서광규
    • 반도체디스플레이기술학회지
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    • 제21권3호
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    • pp.69-73
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    • 2022
  • The application of cloud computing to many industrial domains is rapidly increasing, and domestic and foreign cloud service providers are actively conducting business. In the domestic cloud market, it is necessary to establish an ecosystem with partner operators that work closely with private cloud service providers. In this paper, to create such an environment, we propose a framework that can evaluate the capabilities of partners required for cloud service providers to establish specific business strategies. The framework proposed in this study establishes criteria for evaluating partners' competencies and applies a decision-making model such as fuzzy AHP for evaluation. Eventually this will help not only to expand the domestic cloud market but also to strengthen the competitiveness of domestic cloud partners through the growth of the domestic cloud market.

자동차 소프트웨어 생태계 관련 주요 이슈 및 발전방안 (Critical Issues in Automotive Software Ecosystems and Development Approach)

  • 김주성
    • 전자통신동향분석
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    • 제38권5호
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    • pp.81-89
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    • 2023
  • Software is becoming increasingly important, accounting for more than 90% of the innovations in the automotive industry nowadays. In fact, the share of software in the automotive market is estimated to be around 40%. Accordingly, the shift from hardware- to software-centric vehicles, represented by software-defined vehicles (SDVs), will drastically reorganize the automotive industry ecosystem. This article presents challenges that the automotive ecosystem needs to solve and measures that each participant in the ecosystem should adopt in line with the transition to SDVs in the automotive industry. It is expected that tier-1 suppliers will face difficulties due to the decoupling of software and hardware, and OEMs will need to strengthen cooperation to share costs and shorten development periods to cope with the huge cost of software development.

A Study on the Development of App Ecosystem based Smart Home

  • Moon, Junsik;Park, Chan Young
    • Architectural research
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    • 제18권1호
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    • pp.13-20
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    • 2016
  • Smart Home has achieved remarkable developments over the past few decades. In the ICT(Information and Communications Technology) field, 'app ecosystem'-a collection of multiple devices such as mobile phones and tablets, software (operating system and development tools), companies (manufacturers, carriers, app-stores, etc.) and the process through which data is transferred/shared by a user from one device to another device or by the device itself-has come into wide use since the advent of the smart phone. Due to the synergy effect of the 'app ecosystem', it has been applied to various fields such as televisions and automobile industries. As a result, both the Smart TV and connected vehicle have developed their own ecosystem. Although much research has been conducted on these two ecosystems, there is a lack of research regarding 'App Ecosystem based Smart Home' (AESH). This research focuses on the building scenarios based on 'Tracking, Analyzing, Imaging, Deciding, and Acting (T.A.I.D.A), a future prediction method process. Rather than taking an approach from the perspective of providing and applying advanced technology for research on building future scenarios, this paper focuses on research from the perspective of architectural planning. As a result, two future scenarios of AESH are suggested.

생태계 기반 어업관리 방안을 위한 사회경제적 평가지표의 개발 및 적용: TLS 기법 적용을 중심으로 (Development and Application of Socioeconomic Assessment Indicators for an Ecosystem-Based Fisheries Management: An Application of Traffic Light System Method)

  • 김우수;김도훈
    • 수산경영론집
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    • 제42권1호
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    • pp.71-83
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    • 2011
  • An ecosystem-based fisheries management (EBFM) approach becomes more important as an alternative management method for a sustainable development of fisheries domestically and internationally. Many methods of applying a practical EBFM to fisheries management have been investigated, and considerable attention has been given to developing effective indicators of the present status of and changes in ecosystems and putting them to practical use. Among ecosystem indicators, developing socioeconomic indicators for EBFM is particularly important. This is because socioeconomic factors have direct effects on ecosystems, and ecosystems have direct effects on socioeconomic factors. Therefore, it is imperative that socioeconomic indicators are developed and evaluated in order to predict changes in ecosystems and to provide advice for effective fisheries management. This study is aimed to develop socioeconomic indicators which can be combined with biological and ecological indicators, in order to conduct the ecosystem-based fisheries assessment. In terms of socioeconomic indicators, five socioeconomic criteria were considered as important attributes of socioeconomic changes. These criteria include economical production, business conditions, income, market, and employment indicators. For evaluation of newly developed socioeconomic indicators, the Traffic Light System (TLS) method was used. In addition, on the basis of the application of developed indicators to the Korean large purse seine fishery, the socioeconomic conditions of the fishery and the usefulness of the indicators were evaluated and management implications were discussed.

ICT생태계에서의 스마트폰 플랫폼 주도권 경쟁: 앱세서리 시장을 중심으로 본 삼성전자와 SK텔레콤 전략분석 (The Leadership Competition of Smart Platforms in the ICT Ecosystem: Comparative Analysis of Samsung Electronics and SK Telecom in the Appcessory Market)

  • 조혜진;박찬희
    • 벤처창업연구
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    • 제10권6호
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    • pp.187-202
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    • 2015
  • 스마트폰과 태블릿PC로 대표되는 스마트 디바이스의 끊임없는 발전은 ICT생태계의 변화를 이끌어 왔다. 이러한 스마트 디바이스의 발전과 더불어 소비자들의 니즈도 더욱 다양해지고 그 기대치도 높아지고 있는 추세다. 따라서 변화하는 소비자들의 니즈를 충족시키기 위하여 최근 ICT생태계에 속한 기업들은 기존의 스마트 디바이스와 연동하여 사용하는 앱세서리 제품에 주목하고 있다. 이에 본 연구는 최근 앱세서리 사업에 뛰어든 삼성전자와 SK텔레콤의 사례에 주목하였다. 두 기업의 사례를 통해 앱세서리 시장 현황과 앱세서리 사업이 가지는 가능성과 의미, 기업들의 앱세서리 사업 진출 배경 그리고 주도권 경쟁상황을 파악하고자 생태계이론, 플랫폼 이론 등을 바탕으로 사례연구를 시도하였다. 삼성전자와 SK텔레콤의 사례를 분석한 결과, 두 기업 모두 기존의 사업과 다른 사업으로의 진출을 통해 새로운 성장 동력을 획득하게 된 것을 확인할 수 있었다. 또한 앱세서리 사업은 기존의 사업과의 연계성이 매우 높은 사업 분야였기 때문에 각 기업이 기존에 보유한 역량을 기반으로 이점을 가져갈 수 있었으며, 이는 기존의 사업에도 긍정적인 영향을 미친 것으로 나타났다. 뿐만 아니라, 두 기업 모두 내부의 부족한 부분을 파악하여 외부적 협력을 통해 경쟁력을 이끌어내는 전략을 사용했다는 공통적 특징이 있었다. 반면 두 기업의 기존의 사업분야가 다르기 때문에 앱세서리 사업으로의 진출 배경과, 사업 전략, 기대 효과 등에서 서로 차이가 있음을 확인할 수 있었다. 이와 같이 최근 스마트 플랫폼 내에서 주목받고 있는 앱세서리 시장에 참여한 각 기업의 전략에 공통점과 차이점이 있음을 확인할 수 있었으며, 주도권 선점을 위해 치열한 경쟁을 펼치고 있는 것으로 나타났다.

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메타버스 비즈니스 모델 및 생태계 분석 (Analysis of Metaverse Business Model and Ecosystem)

  • 석왕헌
    • 전자통신동향분석
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    • 제36권4호
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    • pp.81-91
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    • 2021
  • Recently, discussions on Metaverse, which represents the transcendent world, have been dominant for some time. Cases related to the Metaverse are introduced through various media and are continuously attracting attention as the next generation of the Internet. This study reviews the business model and the ecosystem overview, focusing on service cases related to the Metaverse. The widely used business models include content production and sales, media brokerage fee, and marketing fee. The Metaverse ecosystem is formed around games, with major players in game production, authoring tool & support SW, intelligent cloud service, and game platform expected to lead the market. Results show that a strategy to secure the leadership of the Metaverse, such as the business model expansion conditions, a strategy to foster a game-oriented Metaverse ecosystem, and technology development for the realization of the ultra-realistic Metaverse, is necessary.