Abstract
Online group-buying is a rapidly emerging e-commerce mechanism in china. The operating strategy of each group-buying website differs from others to a large extent. Some websites operate prosperously and attain a remarkable financial performance while others just survive hardly. For the sake of this, the evaluation of group-buying website is critical for web managers to upgrade their website systems. As is known by us the evaluation of group-buying website is a multiple-criteria decision making (MCDM) issue which cannot be settled easily. Hence a combined entropy weight and TOPSIS method is introduced to evaluate the group-buying websites in this study. Meanwhile, Fuzzy AHP is also adopted by us here to ensure the validity and reliability of the evaluation. Eventually a case study is presented to demonstrate how the above approach facilitates the unraveling of such issues in practice.
| Original language | English |
|---|---|
| Pages (from-to) | 130-139 |
| Number of pages | 10 |
| Journal | Journal of Convergence Information Technology |
| Volume | 7 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Apr 2012 |
| Externally published | Yes |
Keywords
- E-commerce
- Entropy weight
- TOPSIS
- Website evaluation
Fingerprint
Dive into the research topics of 'Group-buying website evaluation based on combination of TOPSIS, entropy weight and FAHP'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver