A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092826" target="_blank" >RIV/61989100:27240/14:86092826 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1155/2014/872929" target="_blank" >http://dx.doi.org/10.1155/2014/872929</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1155/2014/872929" target="_blank" >10.1155/2014/872929</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
The Scientific World Journal
ISSN
1537-744X
e-ISSN
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Svazek periodika
2014
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
8
Strana od-do
1-8
Kód UT WoS článku
000332562300001
EID výsledku v databázi Scopus
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