Forecasting by analogy using the web search traffic

详细信息    查看全文

• 作者：Seung-Pyo Jun ; ^{spjun@kisti.re.kr} ; ^{spjunn@msn.com} ; ^{spjun@ust.ac.kr}Author Vitae ; Tae-Eung Sung ^{ts322@kisti.re.kr}Author Vitae ; Hyun-Woo Park ^{hpark@kisti.re.kr}Author Vitae
• 关键词：Analogical forecasting ; Web search traffic ; Product life cycle ; Search cycle ; Google trends ; Naver trend
• 刊名：Technological Forecasting and Social Change
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：115
• 期：Complete
• 页码：37-51
• 全文大小：1350 K
• 卷排序：115

文摘

Web search traffic cycle is strongly capable of explaining the product life cycle. The peak of search traffic often precedes the sales peak. Search traffic exhibited similar trends for various products. Search traffic explains the market differences across countries. Search traffic is a good comparative dimension in analogical forecasting.