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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Loureiro, S. M. C. & Amorim, M. (2017). Customers’ online interaction experiences with fashion brands: e-information and e-buying. In Dragan Perakovic (Ed.), E-business - state of the art of ICT based challenges and solutions. (pp. 81-97). Rijeka: InTech.
Exportar Referência (IEEE)
S. M. Loureiro and M. P. Amorim,  "Customers’ online interaction experiences with fashion brands: e-information and e-buying", in E-business - state of the art of ICT based challenges and solutions, Dragan Perakovic, Ed., Rijeka, InTech, 2017, pp. 81-97
Exportar BibTeX
@incollection{loureiro2017_1711614591709,
	author = "Loureiro, S. M. C. and Amorim, M.",
	title = "Customers’ online interaction experiences with fashion brands: e-information and e-buying",
	chapter = "",
	booktitle = "E-business - state of the art of ICT based challenges and solutions",
	year = "2017",
	volume = "",
	series = "",
	edition = "",
	pages = "81-81",
	publisher = "InTech",
	address = "Rijeka",
	url = "https://www.intechopen.com/books/e-business-state-of-the-art-of-ict-based-challenges-and-solutions/customers-online-interaction-experiences-with-fashion-brands-e-information-and-e-buying"
}
Exportar RIS
TY  - CHAP
TI  - Customers’ online interaction experiences with fashion brands: e-information and e-buying
T2  - E-business - state of the art of ICT based challenges and solutions
AU  - Loureiro, S. M. C.
AU  - Amorim, M.
PY  - 2017
SP  - 81-97
DO  - 10.5772/66619
CY  - Rijeka
UR  - https://www.intechopen.com/books/e-business-state-of-the-art-of-ict-based-challenges-and-solutions/customers-online-interaction-experiences-with-fashion-brands-e-information-and-e-buying
AB  - Online platforms (such as websites, blogs, social networks, crowdsourcing) enable consumers
to interact with companies and brands in new ways. This chapter is the first
attempt to go further and analyse how perceived fashion website quality, social influence
and recommendation, credibility, and experience influence fashion consumer behaviour,
considering performance expectancy as the core element of online trust, satisfaction and
word-of-mouth. The proposed model is tested in the context of the fashion industry. Data
comprises a sample of generation Y users of fashion websites to get information and buy
clothes. In order to collect data, convenience mall-intercept sampling (Lisbon city centre
area) served to draw a broad cross-section of consumers. Researchers used tablets to
be used by consumers to answer the online survey. The final sample consisted of 312
participants. The instruments employed were adapted from previous studies and pilottested
with a group of master’s students to verify the clarity of meaning and comprehension.
Findings reveal the stronger influence of perceived quality and experience on the
performance expectancy. Performance expectancy, in turn, exercises a positive effect on
satisfaction and word-of-mouth.
ER  -