2017
			
	    
	
	
    TECHNOLOGY ACCEPTANCE MODEL IN ONLINE SHOPPING: A LITERATURE REVIEW
BAUEROVÁ, RadkaBasic 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
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"
		References:
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: 7/2/2020 10:57, RNDr. Daniel Jakubík
				
		Abstract
In the original language
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.