碩士 / 國立交通大學 / 運輸與物流管理學系 / 105 / Cruise line industry has been developed rapidly, especially passengers in asia, which grows 8-9% annually, might lead cruise line industry to become one of budding industry of asia. It’s important to forecaste passengers per sailings to cruise line managers. Although forecasting has been studing widly, most of researchers rely on historical data for forecasting. This study use Google Trend data, which is based on Google volume query data, for forecasting, and examine the forecasting model of cruise line booking data. There are two part of this study. First, to understand the ability of Google Trend data for forecasting. Second, examine the forecasting power in Taiwan. The result has suggested that Google Trend data can predict the booking data effectively.
| Identifer | oai:union.ndltd.org:TW/105NCTU5423010 |
| Date | January 2016 |
| Creators | Wang,Wu-Chi, 王武吉 |
| Contributors | 黃明居 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 36 |
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