BAUEROVÁ, Radka. TECHNOLOGY ACCEPTANCE MODEL IN ONLINE SHOPPING: A LITERATURE REVIEW. In Decision making for Small and Medium Sized Enterprises. Karviná: SU OPF Karviná, 2017, p. 10-18. ISBN 978-80-7510-243-0.
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Basic information
Original name TECHNOLOGY ACCEPTANCE MODEL IN ONLINE SHOPPING: A LITERATURE REVIEW
Authors BAUEROVÁ, Radka (203 Czech Republic, guarantor, belonging to the institution).
Edition Karviná, Decision making for Small and Medium Sized Enterprises, p. 10-18, 9 pp. 2017.
Publisher SU OPF Karviná
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50202 Applied Economics, Econometrics
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/47813059:19520/17:00010908
Organization unit School of Business Administration in Karvina
ISBN 978-80-7510-243-0
Keywords in English E-consumer behaviour; e-shopping; literature review; Technology acceptance model
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 7/2/2020 10:57.
Abstract
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.
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