| 摘要: |
| 运用粗糙集算法，对所搜集的不确定甚至不完整的有关团购网站的信息进行推理，结论是：相对平均原价和团购种类，团购活动期数、购买人次、平均折扣率和热门城市数量对团购网站销售额的影响更重要；团购活动期数和购买人次越多，销售额越高；但平均折扣率和热门城市数量的多少对团购网站销售额的影响不大。可见，相对于价格，诚信在团购网站发展中起到更重要的决定作用；团购网站应通过团购导航网吸引更多的顾客，并实施差异化发展策略，进而以优质服务提高顾客的忠诚度。 |
| 关键词: 粗糙集 团购 团购网站 销售额 团购活动 平均折扣率 热门城市 差异化发展 顾客忠诚度 |
| DOI： |
| 分类号: |
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| Analysis of the Impact Factors of Group-buying Website Sales Based on Rough Set |
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ZHANG Xin
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| Abstract: |
| Rough set computing method is used to deduce the uncertain and incomplete information collected from group-buying websites, the conclusion is that the more important impact on group-buying website sale is relative average original price, group-buying commodity types, group-buying activity times and buying person-time, average discount rate and hot-city number, that the more group-buying activity times and buying person-time have, the higher the sale is, however, average discount rate and the number of hot-city have small influence on group-buying website sale. As a result, compared with price, credit plays a more important role in group-buying website development. More customers should be attracted through group-buying guide websites and development strategy with different commodity guide should be implemented so that excellent service can be used to promote the loyalty of customers by group-buying website. |
| Key words: rough set group-buying group-buying website sale amount group-buying activity average discount rate hot-city development strategy with different commodity guide customer loyalty degree |
