• 디지털융복합연구
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• 제12권2호
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• pp.163-171
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• 2014

클라우드 컴퓨팅(클라우드)은 물류정보시스템이 갖는 취약점(표준화할 수 없는 복잡 다양한 방식, 지리적 산재 및 매끄럽지 못한 연계성 등)의 보완 및 물류의 혁신적 활동을 지원할 수 있는 안성맞춤의 기술로 여겨진다. 이러한 의미에서 본 연구는 물류산업에 특화된 클라우드 활용 방안을 연구하고자 하였다. 이를 위해 물류분야의 클라우드 관련 최신 동향 분석, 물류산업에서 필요로 하는 클라우드와 플랫폼, 도입 방안에 대한 분석을 진행하였다. 본 연구는 후속연구에서 물류분야에 특화된 클라우드의 개발 방향을 설정하고, 보다 구체화된 클라우드를 개발하는 데 시사점을 제공한다.

• 무역학회지
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• 제47권6호
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• pp.335-353
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• 2022

There are two aspects of digital trade: the digitalisation of goods/services being traded and the digitalisation of the transactional act. Digital data (i.e. machine-readable industrial data and transactional data) is the major driving force for both aspects of digital trade. Digital data is a non-rivalrous input, whether for production or marketing activities, and is thus able to be used by many firms or government agencies without limiting the use of others. Digital platforms provide online infrastructure for the interactions between groups, for instance, consumers and producers. The externality effect refers to the situation in which prosperity in one group on a given platform will improve the returns of other groups on the same platform. In the era of the data-driven economy, strategic trade policy can involve data-related policies. The major objective of these policies is to improve the competitiveness of domestic firms. For instance, firms may be subsidised if they use cloud services provided by specific platforms. This strand of strategic trade policies might be useful for increasing the competitiveness of small-and medium-sized enterprises (SMEs) via the digitalisation of production/marketing processes. Alternatively, strategic trade policy may also exploit the externality effect via platform economy-related policies. Further, some countries may form data coalitions to facilitate cross-border data flow. This paper uses cases in Asian countries to illustrate which role these strategic trade policies can play in the digital economy.