SOCIAL TAG MAPS

Mapping Products on Social Tagging Networks: Insights for Demand Forecast and Positioning

Coordinatore	ERASMUS UNIVERSITEIT ROTTERDAM    more  Organization address address: BURGEMEESTER OUDLAAN 50 city: ROTTERDAM postcode: 3062 PA contact info Titolo: Mr. Nome: Reino Cognome: De Boer Email: send email Telefono: 31104081346 Fax: 31104089145
Nazionalità Coordinatore	Netherlands [NL]
Totale costo	175˙974 €
EC contributo	175˙974 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-IIF
Funding Scheme	MC-IIF
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-09-01   -   2015-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	ERASMUS UNIVERSITEIT ROTTERDAM  Organization address address: BURGEMEESTER OUDLAAN 50 city: ROTTERDAM postcode: 3062 PA contact info Titolo: Mr. Nome: Reino Cognome: De Boer Email: send email Telefono: 31104081346 Fax: 31104089145	NL (ROTTERDAM)	coordinator	175˙974.60

Mappa

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 Obiettivo del progetto (Objective)

'Social tagging is a new way to share and categorize content, allowing users to express their thoughts, perceptions, and feelings with respect to concepts such as products or brands with their own keywords, “tags.” With this system, products can be connected through user-generated keywords, and the rich associative information in social tagging networks provides marketers with opportunities to infer customers’ mental schema toward a product. This research investigates whether the semantic position of products on social tagging networks can predict sales dynamics. This research shows that product positioning maps utilizing products-to-tags networks have distinct informational value in predicting sales dynamics. More specifically, this research suggests that (1) books in long tail can increase sales by being strongly linked to socially popular keywords and well-known keywords with high degree centrality and (2) top sellers can be better sellers by creating dense content clusters rather than connecting them to well-known keywords with high degree centrality. Our findings suggest that marketing managers understand better a user community’s perception of products and potentially influence product sales by taking into account the positioning of their products within social tagging networks.'