Harnessing the social web to enhance insights into people’s opinions in business, government and public administration

Information Systems Frontiers

Volumn 19, Issue 2, 2017, Pages 231-251

  Baur, Aaron W ^a  

^a ESMT European School of Management and Technology   (Germany)

Author keywords

Business intelligence; Design science research; Open data; Open government; Participation; Public sector; Refugees; Social media analytics; Text mining; User generated content (UGC)

Indexed keywords

AUTOMOTIVE INDUSTRY; COMMERCE; COMPETITIVE INTELLIGENCE; COMPUTATIONAL LINGUISTICS; DATA MINING; DESIGN; ECONOMIC AND SOCIAL EFFECTS; SOCIAL NETWORKING (ONLINE);

DESIGN-SCIENCE RESEARCHES; OPEN DATUM; OPEN GOVERNMENT; PARTICIPATION; PUBLIC SECTOR; REFUGEES; SOCIAL MEDIA ANALYTICS; TEXT MINING; USER GENERATED CONTENT (UGC);

PUBLIC ADMINISTRATION;

EID: 84979692073     PISSN: 13873326     EISSN: 15729419     Source Type: Journal    
DOI: 10.1007/s10796-016-9681-7     Document Type: Article

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