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Lee, Changyong
Technology and Innovation Management Lab
Research Interests
  • applied data mining and machine learning, technology and innovation management, service engineering

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Keeping abreast of technology-driven business model evolution: A dynamic patent analysis approach

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Title
Keeping abreast of technology-driven business model evolution: A dynamic patent analysis approach
Author
Lee, ChangyongPark, H.Park, Y.
Keywords
business method patents;  dynamic patent analysis;  formal concept analysis (FCA);  morphological analysis (MA);  technology-driven business model evolution;  text mining
Issue Date
2013-05
Publisher
ROUTLEDGE JOURNALS
Citation
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, v.25, no., pp.487 - 505
Abstract
All firms that depend on technology for their competitive positions recognise that keeping abreast of technology-driven business model evolution is of vital importance. However, previous studies cannot offer a concrete way of profiling trends owing to the lack of quantitative data and systematic processes. We propose a dynamic patent analysis that can identify complex relationships among business method patents and visualise trends in technology-driven business model evolution. At the heart of the suggested approach is morphological analysis (MA) for structuring different types of business models at a technological attribute level and modified formal concept analysis (FCA) for investigating technological changes in business models over time. A case study of business method patents concerning electronic shopping is presented to show the feasibility of the proposed approach. We believe our method can promote consensus-building on up-to-date trends in technology-driven business model evolution, serving as a starting point for a more general model.
URI
https://scholarworks.unist.ac.kr/handle/201301/8363
DOI
10.1080/09537325.2013.785513
ISSN
0953-7325
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SME_Journal Papers
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