%0 Conference Proceedings
%T Business Intelligence from User Generated Content: Online Opinion Formation in Purchasing Decisions in High-Tech Markets
%+ Deloitte Consulting
%+ Delft University of Technology (TU Delft)
%+ SYBO Games
%A Setiya, Karan
%A Ubacht, Jolien
%A Cunningham, Scott
%A Oruç, Sertaç
%Z Part 6: Data Acquisition, Management and Analytics
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th Conference on e-Business, e-Services and e-Society (I3E)
%C Swansea, United Kingdom
%Y Yogesh K. Dwivedi
%Y Matti Mäntymäki
%Y M.N. Ravishankar
%Y Marijn Janssen
%Y Marc Clement
%Y Emma L. Slade
%Y Nripendra P. Rana
%Y Salah Al-Sharhan
%Y Antonis C. Simintiras
%I Springer International Publishing
%3 Social Media: The Good, the Bad, and the Ugly
%V LNCS-9844
%P 505-521
%8 2016-09-13
%D 2016
%R 10.1007/978-3-319-45234-0_45
%K Business intelligence
%K User Generated Content
%K Twitter
%K Sentiment analysis
%K Opinion formation
%K Smartphones
%K High-tech markets
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X User Generated Content (UGC) requires new business intelligence methods to understand the influence of online opinion formation on customer purchasing decisions. We developed a conceptual model for deriving business intelligence from tweets, based on the Classical Model of Consensus Formation and the Theory of Planned Behaviour. We applied the model to the dynamic high-tech smartphone market by means of three case studies on the launch of new smartphones. By using Poisson regression, data- and sentiment-analysis on tweets we show how opinion leadership and real-life events effect the volume of online chatter and sentiments about the launch of new smartphones. Application of the model reveals businesses parameters that can be influenced to enhance competitiveness in dynamic high tech markets. Our conceptual model is suitable to be turned into a predictive model that takes the richness of tweets in online opinion formation into account.
%G English
%Z TC 6
%Z WG 6.11
%2 https://inria.hal.science/hal-01702166/document
%2 https://inria.hal.science/hal-01702166/file/396007_1_En_45_Chapter.pdf
%L hal-01702166
%U https://inria.hal.science/hal-01702166
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-11
%~ IFIP-I3E
%~ IFIP-LNCS-9844