Exploring the nanotechnology landscape for competitive advantage using SAO-mining

Roel C. Boekel, Scott W. Cunningham, Xuefeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Historically, nanotechnology faces the same challenges of every new, emerging and science-based industry. The transfer of viable knowledge from science to market needs to be better bridged. To enhance this transfer, a methodology is designed which integrates engineering design and subject-action-object (SAO) text mining. The methodology is used to find, select and evaluate appropriate nanotechnologies for solving industrial problems using scientific abstracts. A case study is conducted whereby engineering design methods are used to structure a technical innovation problem in the manufacturing industry. 1.2 million abstracts from nanotechnology related articles are retrieved from the Web of Science and indexed using SAO-parsing of the title and abstract. The performance of this novel methodology is measured using precision and recall, an approach common to the field of information retrieval. The methodology is further evaluated on the basis of structured interviews conducted with two engineering managers. The results demonstrate that the SAO methodology is a valuable assist to innovation and design within the firm. Significant challenges which are addressed in this article- for example knowledge loss due to SAO-parsing, and also the phenomena of information stickiness.
Original languageEnglish
Title of host publicationPortland International Conference on Management of Engineering and Technology
Subtitle of host publicationPICMET
PublisherIEEE
Number of pages11
DOIs
Publication statusPublished - 2017
Event2017 Portland International Conference on Management of Engineering and Technology (PICMET) - Portland, United States
Duration: 9 Jul 201713 Jul 2017

Conference

Conference2017 Portland International Conference on Management of Engineering and Technology (PICMET)
Abbreviated titlePICMET2017
CountryUnited States
CityPortland
Period9/07/1713/07/17

Keywords

  • nanotechnology
  • competitive advantage
  • technological innovation
  • companies
  • industries
  • natural language processing
  • data mining

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