The possibility of using search traffic information to explore consumer product attitudes and forecast consumer preference

Technological Forecasting and Social Change

Volumn 86, Issue , 2014, Pages 237-253

  Jun, Seung Pyo ^a   Park, Do Hyung ^b   Yeom, Jaeho ^c  

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

^b Kookmin University   (South Korea)

^c Korea University   (South Korea)

Author keywords

Attribute in selection; Big data; Consumer attitude; Consumer search index; Demand forecasting; Google Insights; Search traffic

Indexed keywords

BIG DATA; CONSUMER PRODUCTS; FORECASTING; RESEARCH; SURVEYS;

ATTRIBUTE IN SELECTION; CONSUMER ATTITUDES; CONSUMER SEARCH INDEX; DEMAND FORECASTING; GOOGLE INSIGHTS; SEARCH TRAFFICS;

SEARCH ENGINES;

DEMAND ANALYSIS; ECONOMETRICS; FORECASTING METHOD; INFORMATION SYSTEM; PREFERENCE BEHAVIOR; PUBLIC ATTITUDE; RESEARCH; TRAFFIC CONGESTION; WORLD WIDE WEB;

EID: 84901949821     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2013.10.021     Document Type: Article

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