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Journal ArticleDOI

On Brands and Word of Mouth

TLDR
In this article, the authors present a theoretical framework arguing that consumers spread word of mouth on brands as a result of social, emotional, and functional drivers, and identify a set of 13 brand characteristics that stimulate word-of-mouth.
Abstract
Brands and word of mouth (WOM) are cornerstones of the marketing field, and yet their relationship has received relatively little attention. This study aims to enhance understanding of brand characteristics as antecedents of WOM by executing a comprehensive empirical analysis. For this purpose, the authors constructed a unique data set on online and offline WOM and characteristics for more than 600 of the most talked-about U.S. brands. To guide this empirical analysis, they present a theoretical framework arguing that consumers spread WOM on brands as a result of social, emotional, and functional drivers. Using these drivers, the authors identify a set of 13 brand characteristics that stimulate WOM, including three (level of differentiation, excitement, and complexity) that have not been studied to date as WOM antecedents. The authors find that whereas the social and functional drivers are the most important for online WOM, the emotional driver is the most important for offline WOM. These results provide ...

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Citations
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What Makes Online Content Viral

TL;DR: This paper examined how emotion shapes virality and found that content that evokes high-arousal positive (awe) or negative (anger or anxiety) emotions is more viral.
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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.
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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.
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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.
References
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The Diffusion of Innovations

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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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