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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yamada, Takashi Terano, Takao Moon, Geun Chol Yoshikawa, Atsushi Kikuta, Go |
| Abstract | This paper analyzes four bestselling books in series to find leading indicators of domestic book sales from conventional Blog information. Although Blog information is different from actual purchases, it will influence customer behaviors. They consider it would be useful for decision making of businesses and organizations. Main contributions of the paper are three fold: 1) confirms relationships between on-line information of the number of Blog reference and off-line information of book sales data; 2) observes different sales patterns by analyzing series books and identify factors and classify books into category; and 3) attempts to predict sales pattern based on sales data of three books. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450314275 |
| DOI | 10.1145/2389376.2389378 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-08-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Real retail sales Leading indicators Word of mouth Blogs Web marketing Demand forecasts Internet sales |
| Content Type | Text |
| Resource Type | Article |
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