Narisa Zhao
Institute of Systems Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
Qiang Dong
Institute of Systems Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
ABSTRACT
Base on consumer psychology and experiential theory, a forth diagram model of consumer experiential types is established from two dimensions of consumer sentiment and experiential value. By extracting and analyzing evaluation words, sense of achievement words and emotional words from the consumer online reviews, consumer sentiment computing is conducted as well as the fuzzy inference about the experiential value. Consumer experiential type is further identified combining fuzzy sentiment corpus and inference rules of experiential value. The experimental study about the consumer experience is conducted with the case of 11 models of automobiles on the automotive review site. Reasonable conclusions are reached and marketing advice is come up with. Validity of the method is also verified.
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How to cite this article
Narisa Zhao and Qiang Dong, 2013. Quantitative Research of Consumer Experience Types Based on Online Reviews:
With the Example of Automotive Products. Information Technology Journal, 12: 5865-5868.
DOI: 10.3923/itj.2013.5865.5868
URL: https://scialert.net/abstract/?doi=itj.2013.5865.5868
DOI: 10.3923/itj.2013.5865.5868
URL: https://scialert.net/abstract/?doi=itj.2013.5865.5868
REFERENCES
- Addis, M. and M.B. Holbrook, 2001. On the conceptual link between mass customisation and experiential consumption: An explosion of subjectivity. J. Consumer Behav., 1: 50-66.
CrossRef - Bennett, R., C.E. Hartel and J.R. McColl-Kennedy, 2005. Experience as a moderator of involvement and satisfaction on brand loyalty in a Business-to-business setting 02-314R. Ind. Market. Manage., 34: 97-107.
CrossRef - Wertenbroch, K. and R. Dhar, 2000. Consumer choice between hedonic and utilitarian goods. J. Market. Res., 37: 60-71.
Direct Link - Xu, L.H., H.F. Lin and J. Zhao, 2008. Construction and analysis of emotional corpus. J. Chin. Inform. Process., 22: 116-122.
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