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.
| Original language | English |
|---|---|
| Pages (from-to) | 345-361 |
| Number of pages | 17 |
| Journal | Service Industries Journal |
| Volume | 35 |
| Issue number | 6 |
| DOIs | |
| State | Published - 26 Apr 2015 |
Keywords
- novelty indicator
- service engineering
- service innovation
- service opportunity