The Authors provide a segmentation of the Italian market of full electric vehicles based on the attractiveness exerted on individuals by specific product characteristics. The k-means clustering algorithm, based on data collected by questionnaire from 8,423 individuals, has been applied to classify respondents. Four market segments have been found. Results of the study offer useful information both for industry players, in order to improve their marketing strategies, and for policy makers to design effective programs to endorse a more conscious mobility behavior in the society. They also provide a further insight to the limited managerial literature specifically devoted to pure electric vehicles and contribute to the scarce body of knowledge about Italians’ attitudes toward ecological products due to the slight research activity undertaken on this theme at the country level. -
Gli Autori propongono una segmentazione della domanda italiana di auto elettriche basata sull’attrattività che alcune caratteristiche specifiche del prodotto esercitano sugli individui. Con la cluster analysis sono stati classificati 8.423 intervistati in quattro segmenti di mercato . I risultati dello studio offrono informazioni utili sia per gli operatori del settore, per il miglioramento delle loro strategie di marketing, sia per i policy maker per l’elaborazione di programmi tesi a favorire comportamenti collettivi più responsabili. Forniscono altresì un contributo alla scarsa letteratura manageriale sul mercato dei veicoli elettrici puri e alla limitata conoscenza degli atteggiamenti degli italiani circa i prodotti ecologici. -
Nosi, C., Pratesi, C.A. (2012). La domanda di auto elettriche tra entusiasmi tecnologici e resistenze psicologiche: una ipotesi di segmentazione. MERCATI E COMPETITIVITÀ, 2, 31-44 [10.3280/MC2012-002005].
La domanda di auto elettriche tra entusiasmi tecnologici e resistenze psicologiche: una ipotesi di segmentazione
NOSI, COSTANZA;PRATESI, Carlo Alberto
2012-01-01
Abstract
The Authors provide a segmentation of the Italian market of full electric vehicles based on the attractiveness exerted on individuals by specific product characteristics. The k-means clustering algorithm, based on data collected by questionnaire from 8,423 individuals, has been applied to classify respondents. Four market segments have been found. Results of the study offer useful information both for industry players, in order to improve their marketing strategies, and for policy makers to design effective programs to endorse a more conscious mobility behavior in the society. They also provide a further insight to the limited managerial literature specifically devoted to pure electric vehicles and contribute to the scarce body of knowledge about Italians’ attitudes toward ecological products due to the slight research activity undertaken on this theme at the country level. -I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.