期刊
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
卷 91, 期 -, 页码 264-279出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2014.03.003
关键词
Technology roadmap; TRM; Dependency; Association rule mining; ARM
资金
- National Research Foundation of Korea (NRF) - Korean government (MSIP) [2011-0030814]
The active incorporation of business data has become a vital process in the recent business environment. Despite the potential utility of massive database, technology roadmap, a wellknown strategic planning method, still remains a subjective and qualitative method conducted by some experts. Even if some studies have tried, previous research lacks a dependency measure that can be used between layers, which is a critical part of technology roadmaps. This paper therefore suggests an association rule mining (ARM)-based technology roadmap to identify the relationship between different layers. The use of ARM fits the purpose, in terms of capturing the dependency information. Two types. of roadmap are developed: a keyword portfolio map and a keyword relational map. In the keyword portfolio map, four types of keyword pairs are identified according to their support and confidence. In the keyword relational map, a 2-dimensional map is developed using support as an intra-layer affinity relationship and confidence as an inter-layer dependency relationship. (C) 2014 Elsevier Inc.All rights reserved.
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