Abstract
The paper demonstrates the impact of using text mining techniques to automate analysis and classification of large amounts of customer compliments and complaints (C&C). The research is using an empirical approach to generate a better understanding of how co-creation processes can be designed based on customer feedback experiences. In order to improve the service propositions, the integration of customer comments as operant resources of the organisation is discussed. A cocreation feedback model is proposed, considering positive and negative comments across three main categories, resources, activities and attributes (positive/negative comments). Finally, the co-creation feedback model enables the mapping of the organisation’s service processes from the customer perspective.
| Original language | English |
|---|---|
| Title of host publication | Advances in the Human Side of Service Engineering |
| Editors | James C. Spohrer, Louis E. Freund |
| Publisher | CRC Press and Balkema |
| Pages | 452-462 |
| Number of pages | 11 |
| ISBN (Electronic) | 9781439870273 |
| ISBN (Print) | 9781439870266 |
| DOIs | |
| Publication status | Published - 1 Jan 2012 |
Keywords
- Co-creation
- Compliments and Complaints
- SD-Logic
- Text Mining