TY - GEN
T1 - Exploring the nanotechnology landscape for competitive advantage using SAO-mining
AU - Boekel, Roel C.
AU - Cunningham, Scott W.
AU - Wang, Xuefeng
N1 - Publisher Copyright:
© 2017 PICMET.
PY - 2017/11/29
Y1 - 2017/11/29
N2 - 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-actionobject (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 SAOparsing 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.
AB - 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-actionobject (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 SAOparsing 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.
UR - http://www.scopus.com/inward/record.url?scp=85043467852&partnerID=8YFLogxK
U2 - 10.23919/PICMET.2017.8125267
DO - 10.23919/PICMET.2017.8125267
M3 - Conference contribution
AN - SCOPUS:85043467852
T3 - PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings
SP - 1
EP - 11
BT - PICMET 2017 - Portland International Conference on Management of Engineering and Technology
A2 - Anderson, Timothy R.
A2 - Niwa, Kiyoshi
A2 - Kocaoglu, Dundar F.
A2 - Daim, Tugrul U.
A2 - Kozanoglu, Dilek Cetindamar
A2 - Perman, Gary
A2 - Steenhuis, Harm-Jan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017
Y2 - 9 July 2017 through 13 July 2017
ER -
