Novelty-focussed document mapping to identify new service opportunities
Changyong Lee and
Hakyeon Lee
The Service Industries Journal, 2015, vol. 35, issue 6, 345-361
Abstract:
Successful innovation in services is considered a key factor for organisational sustainability. However, existing customer- and expert-centric approaches are becoming time-consuming and labour-intensive as the number and complexity of services increase. To counter this, an instrument for service opportunity analysis based on quantitative data and systematic processes is proposed in line with the notions of service engineering. At the heart of the suggested approach is text mining to extract the meanings of service documents and the local outlier factor to identify novel services based on quantitative indicators. A case study of mobile services is exemplified. The suggested approach promotes consensus building for promising service opportunities and enhances the efficiency of the fuzzy front-end stages of new service development.
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://hdl.handle.net/10.1080/02642069.2015.1003368 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:servic:v:35:y:2015:i:6:p:345-361
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FSIJ20
DOI: 10.1080/02642069.2015.1003368
Access Statistics for this article
The Service Industries Journal is currently edited by Eileen Bridges, Professor Domingo Ribeiro, Ronald Goldsmith, Barry Howcroft and Youjae Yi
More articles in The Service Industries Journal from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().