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- 저자 : 우정욱(Jungwouk WOO) (검색결과 3 건)
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Big Data Creation Process and Measures for Utilization: Focusing on the Transportation Sector
우정욱(Jungwouk WOO) 제주대학교 관광과경영경제연구소 2021 産經論集 Vol.41 No.3
Transportation big data is not limited to the transportation sector, but is a useful resource that will bring innovation to all aspects of our lives in the future, and various R&D for its utilization is currently in progress. However, the current level of utilization of transportation big data is very limited under the existing legal system. In this study, we will investigate the meaning and problems of the use of big data in the transportation sector, and investigate the improvement tasks to expand the use of big data. Research Design, Data and Methodology: The paper used a qualitative research methodology through the literature review. In this study, first, the definition and creation process of big data were studied. Second, the significance and problems of applying big data in the transportation sector were studied. Finally, the current status of research in the transportation sector using big data was investigated, and the tasks to be improved in the process from collecting transportation big data to analysis were reviewed. Results: Big data means creating new value by fusing data collected from different purposes. In the case of using big data, the transportation sector can establish more accurate and detailed transportation policies in basic data investigation, identification of phenomena, and prediction. In order to expand the use of big data, it is important to consider who owns it, what it was collected for, what the format of the collected data is, and what should be done to use it. Conclusion: Big data is a derivative thing, but it is becoming important enough to determine the success or failure of a country depending on how it is used. However, problems such as data errors or invasion of privacy that may occur when using big data are expected. This is not just a problem in the transportation sector. When using big data, there are many problems to be solved, such as data ownership, Big Brother problems, and the implementation of smart mobility. If the advent of the big data era is taken for granted, the task from now on is how to solve these problems and share their values.
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김영민(Youngmin Kim),우정욱(Jungwouk Woo) 한국항만경제학회 2013 韓國港灣經濟學會誌 Vol.29 No.4
물류분야에서 RFID 기술의 응용이 확산되면서 RFID 도입 요인과 물류성과와의 관계를 분석할 필요가 있다. 기존 여러 분야의 선행연구를 통하여 RFID 도입이나 채택에 영향을 미치는 요인을 도출하고, 물류기업을 대상으로 이러한 요인이 물류성과에 미치는 영향을 실증적으로 분석하고, 그에 대한 시사점을 제시하고자 하였다, 관련 선행연구에서 물류기업이 RFID를 도입하는데 있어 CEO 지원, 기술 우위성, 거래 파트너, 상호 양립성 및 상대적 이익과 같은 요인이 물류성과에 영향을 미치는 것으로 나타났다. SCM, 물류 및 유통, 제조분야를 대상으로 한 선행연구를 기초로 연구모형 및 가설을 설정하고, 물류기업 종사자를 대상으로 RFID 도입 요인이 물류성과에 어떠한 영향을 미치는지 설문조사를 실시하였으며, 탐색적 요인분석, 신뢰성 분석, 확인적 요인분석 및 구조방정식모형 분석을 통해 가설을 검증하였다. 연구 결과,CEO 지원과 거래 파트너의 RFID 도입 요인은 물류성과에 유의한 정(+)의 영향을 미쳤으며, 상호 양립성과 상대적 이익은 유의한 영향을 미치지 못하였다. 기술 우위성은 물류성과에 통계적으로 유의한 영향을 미치지 못하는 것으로 나타났으나 p=0.052라는 것을 고려할 때, 물류성과에 유의한 영향을 미칠 수 있을 것으로 사료되며, 유의수준 0.1에서는 유의한 영향을 미치는 것으로 나타났다. With the application enlargement of RFID technology in the field of logistics, it is needed to analyze the relation adoption factors of RFID with logistics performance. That is, this study aims at analyzing how RFID adoption would give an effect to logistics performance in logistics company, stating its implications. More specifically, this study tests empirical relation of CEO"s support, technical competence, trading partner, compatibility, relative advantage and logistics performance of applying RFID in logistics company. Based on previous studies which are related to RFID in the field of SCM, logistics, distribution and manufacturing, this study established research model and hypothesis, and surveyed employees of logistics company. To analyze the data, exploratory factor analysis, reliability analysis, confirmatory factor analysis and structural equation model were applied. The results are follows. Applying RFID in logistics, CEO"s support and trading partner gives significantly positive effect to logistics performance. But compatibility and relative advantage do not give meaningful effect to logistics performance. Additionally, though technical competence does not have statistical significance to logistics performance, it is necessary to consider it can have meaningful influence on logistics performance substantially.
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