4.6 Article

Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap

期刊

SUSTAINABILITY
卷 14, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/su14095430

关键词

retail logistics; technology roadmap; patent analysis; time series; clustering; latent dirichlet allocation

资金

  1. Jungseok Logistics Foundation
  2. National Research Foundation of Korea (NRF) - Korea government (MSIT) [NRF-2020R1F1A1076812]
  3. Brain Korea 21 FOUR

向作者/读者索取更多资源

The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics industry. A technology strategy is essential for digitization, and identifying opportunities and threats of technology development through technology trend exploration is important for technology strategy. This study aims to identify opportunities and areas for technology development through patent data in establishing technology strategies. The proposed framework utilizing the Word2Vec algorithm and LDA clustering is expected to predict technological change and derive promising technologies for establishing technology roadmaps in logistics companies.
The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics industry. For players in the logistics industry, digitization has become an unavoidable situation to achieve survival and sustainable competitiveness. A technology strategy is essential for digitization, and identifying opportunities and threats of technology development through technology trend exploration is important for technology strategy. In addition, to enable the implementation of the technology strategy, it is necessary to detect the change in technology and search for the technology that is expected to have a practical development effect. The purpose of this study is to identify opportunities and areas for technology development through patent data in establishing technology strategies. Previous research mainly relied on the expert interview method, and there was also a patent analysis study based on topic modeling, but only to grasp technology trends. This paper aims to propose a new framework for the extension to the stage for establishing a technology roadmap. By using the Word2Vec algorithm, we will investigate the patent search formula that reflects the trend, the prediction of changes in logistics technology through LDA (Latent Dirichlet Allocation) clustering of patent data, and the derivation of vacant technology by experimental methods. The proposed framework is expected to be utilized for predicting technological change and deriving promising technologies for establishing technology roadmaps in logistics companies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据