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Journal ArticleDOI

Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content

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TLDR
This paper integrated qualitative user-marketer interaction content data from a fan page brand community on Facebook and consumer transactions data to assemble a unique data set at the individual consumer level and quantify the impact of community contents from consumers and marketers on consumers' apparel purchase expenditures.
Abstract
Despite the popular use of social media by consumers and marketers, empirical research investigating their economic values still lags. In this study, we integrate qualitative user-marketer interaction content data from a fan page brand community on Facebook and consumer transactions data to assemble a unique data set at the individual consumer level. We then quantify the impact of community contents from consumers (user-generated content, i.e., UGC) and marketers (marketer-generated content, i.e., MGC) on consumers' apparel purchase expenditures. A content analysis method was used to construct measures to capture the informative and persuasive nature of UGC and MGC while distinguishing between directed and undirected communication modes in the brand community. In our empirical analysis, we exploit differences across consumers' fan page joining decision and across timing differences in fan page joining dates for our model estimation and identification strategies. Importantly, we also control for potential ...

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Journal ArticleDOI

Introduction to the Special Issue—Social Media and Business Transformation: A Framework for Research

TL;DR: A broad research agenda for understanding the relationships among social media, business, and society is outlined and it is hoped that the flexible framework outlined will help guide future research and develop a cumulative research tradition in this area.
Journal ArticleDOI

Advances in Social Media Research: Past, Present and Future

TL;DR: The integrated view of the extant literature that the study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field of social media research.
Journal ArticleDOI

Customer engagement with tourism social media brands

TL;DR: In this paper, the authors validate the Customer Engagement with Tourism Brands (CETB) 25-item scale proposed by So, King & Sparks (2014) in a social media context, and offer an alternative three-factor 11-item version of the scale.
Journal ArticleDOI

Consumer behavior in social commerce

TL;DR: A systematic review of social commerce studies to explicate how consumers behave on social networking sites proposes a framework to elicit factors in consumers' decision-making process and believes that this framework can provide a useful basis for future social commerce research.
Journal ArticleDOI

Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook

TL;DR: In this article, the authors describe the effect of social media advertising content on customer engagement using data from Facebook and find that inclusion of widely used content related to brand personality is associated with higher levels of consumer engagement (Likes, comments, shares) with a message.
References
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Book ChapterDOI

Prospect theory: an analysis of decision under risk

TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.
Journal ArticleDOI

Sample Selection Bias as a Specification Error

James J. Heckman
- 01 Jan 1979 - 
TL;DR: In this article, the bias that results from using non-randomly selected samples to estimate behavioral relationships as an ordinary specification error or "omitted variables" bias is discussed, and the asymptotic distribution of the estimator is derived.
Journal ArticleDOI

The central role of the propensity score in observational studies for causal effects

Paul R. Rosenbaum, +1 more
- 01 Apr 1983 - 
TL;DR: The authors discusses the central role of propensity scores and balancing scores in the analysis of observational studies and shows that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates.
Journal ArticleDOI

The Market for “Lemons”: Quality Uncertainty and the Market Mechanism

TL;DR: In this paper, the authors present a struggling attempt to give structure to the statement: "Business in under-developed countries is difficult"; in particular, a structure is given for determining the economic costs of dishonesty.
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