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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) 
Nikolaeva, R. & Sriram, S. (2006). The moderating role of consumer and product characteristics on the value of customized on-line recommendations. International Journal of Electronic Business. 11 (2), 101-123
Exportar Referência (IEEE) 
R. N. Nikolaeva and S. Sriram,  "The moderating role of consumer and product characteristics on the value of customized on-line recommendations", in Int. Journal of Electronic Business, vol. 11, no. 2, pp. 101-123, 2006
Exportar BibTeX 
@article{nikolaeva2006_1727532896412,
	author = "Nikolaeva, R. and Sriram, S.",
	title = "The moderating role of consumer and product characteristics on the value of customized on-line recommendations",
	journal = "International Journal of Electronic Business",
	year = "2006",
	volume = "11",
	number = "2",
	doi = "10.2753/JEC1086-4415110205",
	pages = "101-123",
	url = "http://www.tandfonline.com/doi/abs/10.2753/JEC1086-4415110205"
}
Exportar RIS 
TY  - JOUR
TI  - The moderating role of consumer and product characteristics on the value of customized on-line recommendations
T2  - International Journal of Electronic Business
VL  - 11
IS  - 2
AU  - Nikolaeva, R.
AU  - Sriram, S.
PY  - 2006
SP  - 101-123
SN  - 1470-6067
DO  - 10.2753/JEC1086-4415110205
UR  - http://www.tandfonline.com/doi/abs/10.2753/JEC1086-4415110205
AB  - This study examines the behavioral aspect of improving the recommendation agent-consumer relationship, utilizing a model of internal information search for unplanned purchases prompted by a recommendation from a collaborative filtering agent. The model describes how consumers update their beliefs about a product upon receiving a recommendation and identifies the factors affecting the increase in the product's expected utility after the recommendation. A Monte Carlo simulation derives propositions regarding how these factors influence the effectiveness of recommendations. Broadly, the marginal value of recommendation depends on the preference structure of the recipient, the attributes of the product on which the recommendation is based, and the characteristics of the population of consumers. The major managerial implication is that retailers should include more information in recommendations when the products are less common or when there is a large variability of user tastes.
ER  -