Forecasting Customers’ Purchasing Decision in E-commerce by Cognitive Map
碩士 === 國立成功大學 === 工業與資訊管理學系 === 102 === With the booming increase in E-commerce market sales in the world, lower searching costs and convenience have resulted in a huge internet population. The companies who own the transaction platforms and internet shops are devoting themselves to the development...
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| Format: | Others |
| Language: | zh-TW |
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2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/57451008058820632204 |
| Summary: | 碩士 === 國立成功大學 === 工業與資訊管理學系 === 102 === With the booming increase in E-commerce market sales in the world, lower searching costs and convenience have resulted in a huge internet population. The companies who own the transaction platforms and internet shops are devoting themselves to the development of recommended systems and websites that correspond to their customers’ needs in order to raise sales. A cognitive map (CM) is a good tool to capture human cognition for the purpose of predicting reflective behavior and to integrate scattered information. Therefore, we use a CM to map factors from previous studies related to consumer purchases and relationships. Moreover, we put a CM into a decision support system called POOL 2 to enhance the structure. The system can figure out cognitive integrity and identify implications among the factors and relationships. The results indicate that the cognitive map and POOL2 are available to compute scattered information. In this study, we found only one factors raised after computing. This means there is some effect between factors not found before. It can therefore give shop owners and platform managers some new suggestions.
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