A study of the method using search traffic to analyze new technology adoption
Year of publication: |
2014
|
---|---|
Authors: | Jun, Seung-pyo ; Yeom, Jaeho ; Son, Jong-ku |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 81.2014, p. 82-95
|
Subject: | New technology adoption | Search traffic | Google trends | Brand search | ARIMA | Time series decomposition method | Innovationsdiffusion | Innovation diffusion | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Konsumentenverhalten | Consumer behaviour | Innovationsakzeptanz | Innovation adoption | Suchmaschine | Search engine |
-
Demand forecasting with user-generated online information
Schaer, Oliver, (2019)
-
Predicting Chinese consumption series with Baidu
Song, Zhongchen, (2023)
-
Forecasting the importance of product attributes using online customer reviews and Google Trends
Yakubu, Hanan, (2021)
- More ...
-
Jun, Seung-Pyo, (2013)
-
Jun, Seung-pyo, (2013)
-
Jun, Seung-pyo, (2014)
- More ...