A study of the method using search traffic to analyze new technology adoption

Technological Forecasting and Social Change

Volumn 81, Issue 1, 2014, Pages 82-95

  Jun, Seung Pyo ^a   Yeom, Jaeho ^b   Son, Jong Ku ^a  

^a Korea Institute of Science and Technology Information (KISTI)   (South Korea)

^b Korea University   (South Korea)

Author keywords

ARIMA; Brand search; Google trends; New technology adoption; Search traffic; Time series decomposition method

Indexed keywords

ARIMA; BRAND SEARCH; GOOGLE TRENDS; SEARCH TRAFFICS; TECHNOLOGY ADOPTION; TIME SERIES DECOMPOSITION;

RESEARCH; SALES; TECHNOLOGY;

FORECASTING;

DECOMPOSITION ANALYSIS; GROSS DOMESTIC PRODUCT; INTERNET; TECHNOLOGY ADOPTION; TIME SERIES ANALYSIS; TRAFFIC MANAGEMENT;

EID: 84888017656     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2013.02.007     Document Type: Article

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