Identifying core technologies based on technological cross-impacts: An association rule mining (ARM) and analytic network process (ANP) approach

Authors:
Chulhyun Kim;Hakyeon Lee;Hyeonju Seol;Changyong Lee
Affiliations:
Induk University, Choansangil 14, Nowon-Gu, Seoul 139-749, South Korea;Seoul National University of Science and Technology, 172 Gongreuing 2-dong, Nowon-gu, Seoul 139-746, South Korea;Korea Air Force Academy, 335-1, Ssangsu-ri, Namil-myeon, Cheongwon-gun, Chungbuk 363-849, South Korea;Seoul National University, San 56-1, Shillim-Dong, Kwanak-Gu, Seoul 151-742, South Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 6
Cited 4

Mining association rules between sets of items in large databases

SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Fast Algorithms for Mining Association Rules in Large Databases

VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Using the patent co-citation approach to establish a new patent classification system

Information Processing and Management: an International Journal
Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm

Information Sciences: an International Journal
An ANP-based technology network for identification of core technologies: A case of telecommunication technologies

Expert Systems with Applications: An International Journal
Identifying strategic management concepts: An analytic network process approach

Computers and Industrial Engineering

Applying an automatic approach for showing up the hidden themes in financial marketing research (1961-2010)

Expert Systems with Applications: An International Journal
Quantitative cross impact analysis with latent semantic indexing

Expert Systems with Applications: An International Journal
Semantic compared cross impact analysis

Expert Systems with Applications: An International Journal
Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D

Scientometrics

Quantified Score

Hi-index	12.06

Visualization

Abstract

This study proposes a new approach to identifying core technologies from a perspective of technological cross-impacts based on patent co-classification information with consideration of the overall interrelationships among technologies. The proposed approach is comprised of two methods: association rule mining (ARM) and the analytic network process (ANP). Firstly association rule mining (ARM) is employed to calculate the technological cross-impact indexes. Since the confidence measure in ARM is defined as a conditional probability between two technologies, it is adopted as an index for evaluating technological cross-impacts. The technological cross-impact matrix is then constructed with all calculated cross-impact indexes. Secondly, the ANP, which is a generalization of the analytic hierarchy process (AHP), is conducted to produce priorities of technologies with consideration of their direct and indirect impacts. The proposed approach can be utilized for technology monitoring for both technology planning of firms and innovation policy making of governments. A case of telecommunication technology is presented to illustrate the proposed approach.