About: A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective

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About: A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Existing opinion mining studies have focused on and explored only two types of reviews, that is, regular and comparative. There is a visible gap in determining the useful review types from customers and designers perspective. Based on Technology Acceptance Model (TAM) and statistical measures we examine users' perception about different review types and its effects in terms of behavioral intention towards using online review system. By using sample of users (N = 400) and designers (N = 106), current research work studies three review types, A (regular), B (comparative), and C (suggestive), which are related to perceived usefulness, perceived ease of use, and behavioral intention. The study reveals that positive perception of the use of suggestive reviews improves users' decision making in business intelligence. The results also depict that type C (suggestive reviews) could be considered a new useful review type in addition to other types, A and B. 2014 Atika Qazi et al. Existing opinion mining studies have focused on and explored only two types of reviews, that is, regular and comparative. There is a visible gap in determining the useful review types from customers and designers perspective. Based on Technology Acceptance Model (TAM) and statistical measures we examine users' perception about different review types and its effects in terms of behavioral intention towards using online review system. By using sample of users (N = 400) and designers (N = 106), current research work studies three review types, A (regular), B (comparative), and C (suggestive), which are related to perceived usefulness, perceived ease of use, and behavioral intention. The study reveals that positive perception of the use of suggestive reviews improves users' decision making in business intelligence. The results also depict that type C (suggestive reviews) could be considered a new useful review type in addition to other types, A and B. 2014 Atika Qazi et al. (en)
Title	A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective (en)
skos:prefLabel	A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective (en)
skos:notation	RIV/61989100:27240/14:86092826!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	1054
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/14:86092826
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	statistical model; pilot study; Internet; public opinion; perception; online system; medical research; intelligence; information technology; human; decision making; computer model; commercial phenomena; behavioral intention; behavior; rticle (en)
http://linked.open.../riv/klicoveSlovo	medical research public opinion computer model pilot study Internet behavior decision making human information technology perception statistical model behavioral intention commercial phenomena online system rticle intelligence
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[FD49B11E9F37]
http://linked.open...i/riv/nazevZdroje	The Scientific World Journal
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	2014
http://linked.open...iv/tvurceVysledku	Abraham Padath, Ajith Khan, S.U.R. Qazi, A. Raj., R. G. Tahir, M. Waheed, M.
http://linked.open...ain/vavai/riv/wos	000332562300001
issn	1537-744X
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1155/2014/872929
http://localhost/t...ganizacniJednotka	27240

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