Repeat Purchase Forecasting for Online Travel Shopping

• Main Authors: Yeh, Ming-Hui, 葉明蕙
• Other Authors: Tang, Ying-Chan
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/34659554779070346507

碩士 === 國立交通大學 === 管理學院經營管理學程 === 104 === With the development of information and communication technology widely used in mobile devices, consumers are gradually using a convenient, real-time and non-territorial Internet and mobile devices. Consumers through social media quickly collect a lot of information, so that transaction costs were lower than in the past and brand loyalty has declined. In this digitized trend, the companies must need to develop the new digital businesses, services and trading platform. The customer relationship has become the important aspect of business management.. In the study, we use a transaction database containing information on the frequency and timing of transactions for online travel shopping customers in order to forecast about future purchasing and through Microsoft Excel to build forecasting model. The forecasting results could develop marketing plans to grasp customer needs. Since most online customers are the non-contractual type, the probability theories study the possibility of online customer repeat purchase, these theories are different from the general regression model to predict future customer transactions.