Development of data-driven technology roadmap considering dependency: An ARM-based technology roadmapping

Youngjung Geum, HyeonJeong Lee, Youngjo Lee and Yongtae Park

Technological Forecasting and Social Change, 2015, vol. 91, issue C, 264-279

Abstract: 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 well-known 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.

Keywords: Technology roadmap; TRM; Dependency; Association rule mining; ARM (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:91:y:2015:i:c:p:264-279

DOI: 10.1016/j.techfore.2014.03.003

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