G
Gianfranco Walsh
Researcher at Leibniz University of Hanover
Publications - 20
Citations - 6743
Gianfranco Walsh is an academic researcher from Leibniz University of Hanover. The author has contributed to research in topics: The Internet & Consumer behaviour. The author has an hindex of 9, co-authored 20 publications receiving 6020 citations. Previous affiliations of Gianfranco Walsh include Bauhaus University, Weimar.
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Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?
TL;DR: In this article, a typology for motives of consumer online articulation is proposed, drawing on findings from research on virtual communities and traditional word-of-mouth literature, which is based on the same authors' work.
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Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet
TL;DR: It is illustrated that consumers read on-line articulations mainly to save decision-making time and make better buying decisions, and structural equation modeling shows that their motives for retrieving on-lines articulations strongly influence their behavior.
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What makes mavens tick? exploring the motives of market mavens initiation of information diffusion
TL;DR: This article found that market mavens are motivated to a greater extent by a sense of obligation to share information, a desire to help others, and feelings of pleasure associated with informing others about products.
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German Consumer Decision‐Making Styles
TL;DR: In this article, the authors investigated the generalizability of consumer decision-making styles in different countries and with non-student samples, and found support for six factors: Brand Consciousness, Perfectionism, Recreational/Hedonism, Confused by Overchoice, Impulsiveness, and Novelty-Fashion Consciousness.
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Consumers' decision-making style as a basis for market segmentation
TL;DR: In this article, a seven-dimensional structure of decision-making styles was found using principal components analysis and confirmatory factor analysis, which can be used in conjunction with traditional market segmentation approaches.