BAUEROVÁ, Radka. TECHNOLOGY ACCEPTANCE MODEL IN ONLINE SHOPPING: A LITERATURE REVIEW. In Decision making for Small and Medium Sized Enterprises. Karviná: SU OPF Karviná. s. 10-18. ISBN 978-80-7510-243-0. 2017.
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Základní údaje
Originální název TECHNOLOGY ACCEPTANCE MODEL IN ONLINE SHOPPING: A LITERATURE REVIEW
Autoři BAUEROVÁ, Radka (203 Česká republika, garant, domácí).
Vydání Karviná, Decision making for Small and Medium Sized Enterprises, od s. 10-18, 9 s. 2017.
Nakladatel SU OPF Karviná
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 50202 Applied Economics, Econometrics
Utajení není předmětem státního či obchodního tajemství
Forma vydání tištěná verze "print"
WWW URL
Kód RIV RIV/47813059:19520/17:00010908
Organizační jednotka Obchodně podnikatelská fakulta v Karviné
ISBN 978-80-7510-243-0
Klíčová slova anglicky E-consumer behaviour; e-shopping; literature review; Technology acceptance model
Změnil Změnil: RNDr. Daniel Jakubík, učo 139797. Změněno: 7. 2. 2020 10:57.
Anotace
In recent years´ large number of consumers in the Czech Republic frequently shop on the Internet, if we focus on Fast Moving Consumer Goods (FMCG), there are an increase of online purchases. For research on what drives consumers to shop online, the Technology acceptance models can be utilised. Technology acceptance model (TAM) was introduced by Davis in 1986 as a theory for describing an individual´s acceptance of information systems. In these days, the TAM is considered the most influential and commonly employed theory in that area. This study aims to provide a coherent view of literature about Technology acceptance model in online shopping. Therefore, it summarises development of TAM to increase the understanding of consumer attitudes towards online shopping and their intention to buy on the Internet. This article will contribute significantly to possible modifications of TAM for FMCG area. The search strategy for the review model is primarily directed towards finding published papers from the contents of EBSCO, ScienceDirect and Google Scholar database.
VytisknoutZobrazeno: 28. 3. 2024 22:24