Next Article in Journal
Effects of Wheat-Maize Intercropping on Population Dynamics of Wheat Aphids and Their Natural Enemies
Previous Article in Journal
Development of an Evaluation System for Sustaining Reservoir Functions—A Case Study of Shiwen Reservoir in Taiwan
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(8), 1386; doi:10.3390/su9081386

SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map

1
Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, Gyeongsangbuk-do 37673, Korea
2
Department of Industrial and Management Engineering, Gachon University, Seongnam, Gyeonggi-do 13120, Korea
3
School of Management Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea
*
Authors to whom correspondence should be addressed.
Received: 28 June 2017 / Revised: 16 July 2017 / Accepted: 2 August 2017 / Published: 7 August 2017
View Full-Text   |   Download PDF [2012 KB, uploaded 7 August 2017]   |  

Abstract

The Outcome-Driven Innovation (ODI) method based on the ‘Jobs-to-be-done’ concept is very useful in the identification of unmet customer needs and has been adopted widely in the industry. The Job Map, a tool of the ODI method, is used to understand customers by defining their behavioral process. Complications must be overcome before the Job Map can be applied to the specific problem in question, such as a time-consuming process, dealing with a large amount of data, and experts’ biased work. To solve these problems, this study develops a patent mining-based method based on the subject-action-object (SAO) structure to support the creation of a Job Map by semi-automatizing data collection and analysis. This effort at better utilizing computers in customer analysis for product design will contribute to expanding computerized methods for solving design and engineering problems in practice. View Full-Text
Keywords: customer needs; outcome-driven innovation (ODI); job map; jobs-to-be-done; patent text mining; subject-action-object (SAO) customer needs; outcome-driven innovation (ODI); job map; jobs-to-be-done; patent text mining; subject-action-object (SAO)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lim, J.; Choi, S.; Lim, C.; Kim, K. SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map. Sustainability 2017, 9, 1386.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top