기술 기반의 서비스 기회 분석 방법: 특허-상표 연계 데이터와 링크 예측 활용

Abstract

As the importance of technology in services increases, studies that identify technology-driven service opportunities have been conducted. Although patent-based studies have been conducted, they have limitations in obtaining service information due to the dependence on technical data only. Therefore, this study suggests a method to identify technology-driven new service opportunities using patent-trademark linking data and link prediction. First, a technology element network is constructed based on the co-occurrences of patent classification codes for all patents. Second, a set of existing technology elements used for a target service area are identified using the patent-trademark linking database. Third, the method identifies technology elements, which can be newly introduced for the target service, via link prediction. Finally, technology-driven service opportunities are discovered by evaluating the new technology elements with novelty and influence indexes. A case study on educational services is carried out to show the applicability of the proposed method. This method could be used to identify new service opportunities based on technological advances and support establishing policies for service industries.