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With the rapid development of e-commerce websites, large numbers of group buying model based on the Internet were coming forth. The market is increasing competitive. In 2010, group buying model which can started with a few million and made a lot of money quickly were extended to China. Then quickly set off unprecedented dimensions “business battle royal” in the history of Chinese Internet. In the <group-buying market statistic report in January-February.2014>, it had forecast that the scale of group-buying market will exceed 70 billion in 2014. And by the end of November.2014, a total turnover has realized 658.7 billion throughout the country. According to the average monthly growth rate 5.8% in the previous 11 months, we can calculate that it can realize turnover of 82.2 billion in December.2014. From the first half of this just a few months’ time, the group buying is still one of the most talked about domestic Internet vocabulary and involved in cross-border, high finance, and advertising. The news of group buying websites around media is filled with pages almost every day. The industry of group buying model excitement level called “unprecedented.” However, behind these setting, some of the opposite trend began to increasingly coming out. In happy group, the group buying as the representative of the first on-line buy site began to shrink the size of the implementation of massive layoffs or even shut down the local sub-station. Buy site domestic and foreign are slowly showing two distinct states. A latest data from Electronic Commerce Research Center in China shows that there are 5376 group-buying websites closed and the failure rate was 86% from the beginning of group-buying to the present. Less than twenty percent of group enterprise are alive, the demand of group purchase are exploded rather than decreased. The cause of this situation is numerous, so it has important practical significance to evaluate the quality of the group-buying websites with scientific and effective method.
In recent years, the study on e-commerce sites’ evaluation has been an important topic in the field of e-commerce. There are many research results of evaluation research of e-commerce sites at home and abroad. Such as the evaluation which based on customer satisfaction, the evaluation which from the perspective of building their own websites evaluation. Utilizing different evaluation methods, Analytic Hierarchy Process, factor analysis, cluster analysis and so on. The evaluation research of group-buying websites at home is still at an early stage. Peng Liang evaluated group buying websites from the view of the customer trust (Peng Liang, 2011, p. 85-88). Liao Xiaoli (2012) built the ideal model of group shopping websites information architecture against the existing problems of group shopping websites and explains it (Liao Xiaoli, 2012, pp. 138-143). Zhou Beijing and Hou Lun establish an effective evaluation system of group-buying websites on the basis of the reviewing of the evaluation for E-commerce website, experts interview and customers investigation, and the measurement of the evaluation index was quantified researched by use of the analytic hierarchy process (Hou Lun, 2012, pp. 50-66). Xi Li applied link analysis and the measure of web impact factors, used search engines Altavista to evaluate the main group-buying websites in China. In conclusion, the evaluation study of group buying websites is still need to deepen. We should establish a scientific appraisal system and use scientific methods further (Xi Li, 2012, pp. 46-48).
This paper selected seven popular group-buying websites, there are Mei tuan, Dian ping, Baidu Nuomi, La shou, Nest, Man zuo, 58 group. It used DEA combined with AHP to compare and evaluate the quality of group buying websites. On one hand, for quantifiable evaluation index, we used DEA to calculate the relative efficiency which can be regard as index of Analytic Hierarchy Process. On the other hand, for non-quantitative evaluation index, we used a questionnaire to investigate the customers of group buying websites and then obtain the evaluation results of one indicator. Then use AHP to determine the relative weight of the index, build the group-buying websites quality evaluation model based on DEA-AHP. Finally, the comprehensive evaluation result is obtained.