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Journal ArticleDOI

On Brands and Word-of-Mouth

TLDR
In this article, the authors present a theoretical framework whose fundamentals are consumers and what stimulates them to engage in word-of-mouth (WOM) campaigns, arguing that consumers spread the word on brands as a result of three drivers: functional, social, and emotional.
Abstract
Brands and word-of-mouth (WOM) are cornerstones of marketing, yet, their relationship was largely ignored. In order to explore this relationship we present a theoretical framework whose fundamentals are consumers and what stimulates them to engage in WOM. It argues that consumers spread the word on brands as a result of three drivers: functional, social, and emotional. Through these motives and needs we identify a set of brand characteristics (e.g. level of differentiation) that play a role in stimulating WOM.To examine our theoretical framework empirically, we constructed a unique data set on the online and offline WOM and the characteristics of the 697 most talked-about national US brands. Using MCMC estimation we find that (i) brand characteristics play an important role in generating WOM, and (ii) that the impact of the characteristics differs between offline conversations and online brand mentions. We also find that while the social and functional drivers are the most important for online WOM, the emotional driver is the most important for offline WOM. These results portray an interesting picture of WOM and have meaningful managerial implications (e.g. investment in WOM).

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Understanding Generation Y and their use of social media: a review and research agenda

TL;DR: In this paper, the authors review what we know and don't know about Generation Y's use of social media and assess the implications for individuals, firms and society, and develop managerial implications and a research agenda.
Journal ArticleDOI

Word of mouth and interpersonal communication: A review and directions for future research

TL;DR: The authors argue that word of mouth is goal driven and serves five key functions (i.e., impression management, emotion regulation, information acquisition, social bonding, and persuasion) and suggest these motivations are predominantly self-serving and drive what people talk about even without their awareness.
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A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry

TL;DR: In this paper, the authors track the changes in scholarly researchers' perspectives on three major digital, social media, and mobile (DSMM) marketing themes from 2000 to 2015, and identify key themes emerging in five-year time frames during this period.
Journal ArticleDOI

Network Effects and Personal Influences: The Diffusion of an Online Social Network:

TL;DR: In this paper, the adoption decision of individuals is modeled as a binary choice affected by three factors: (1) the local network structure formed by already adopted neighbors, (2) the average characteristics of adopted neighbors (influencers), and (3) the characteristics of the potential adopters.
Journal ArticleDOI

New Product Design: Concept, Measurement, and Consequences

TL;DR: In this article, the authors define product design and its dimensions and investigate the impact of these design dimensions on purchase intention, word of mouth, and willingness to pay, finding that the design dimensions positively influence willingness to buy and also have a positive effect on product intention and word-of-mouth.
References
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The Diffusion of Innovations

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Journal ArticleDOI

Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation

TL;DR: The development of an instrument designed to measure the various perceptions that an individual may have of adopting an information technology IT innovation, comprising eight scales which provides a useful tool for the study of the initial adoption and diffusion of innovations.
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Measuring the Involvement Construct

TL;DR: The Personal In-volvement Inventory was developed over four data sets of 268 undergraduate psychology students, two data set of 49 MBA students, and two data sets with 57 clerical and administrative staff members as mentioned in this paper.
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