Please use this identifier to cite or link to this item: https://doi.org/10.1287/isre.1120.0469
Title: Social media brand community and consumer behavior: Quantifying the relative impact of user- and marketer-generated content
Authors: Goh, K.-Y. 
Heng, C.-S. 
Lin, Z.
Keywords: Brand community
Communication mode
Conometric modeling
Consumer behavior
Marketer-generated content
Social media
Text mining
User-generated content
Issue Date: Mar-2013
Citation: Goh, K.-Y., Heng, C.-S., Lin, Z. (2013-03). Social media brand community and consumer behavior: Quantifying the relative impact of user- and marketer-generated content. Information Systems Research 24 (1) : 88-107. ScholarBank@NUS Repository. https://doi.org/10.1287/isre.1120.0469
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 self-selection biases and relevant factors such as pricing, promotion, social network attributes, consumer demographics, and unobserved heterogeneity. Our findings show that engagement in social media brand communities leads to a positive increase in purchase expenditures. Additional examinations of UGC and MGC impacts show evidence of social media contents affecting consumer purchase behavior through embedded information and persuasion. We also uncover the different roles played by UGC and MGC, which vary by the type of directed or undirected communication modes by consumers and the marketer. Specifically, the elasticities of demand with respect to UGC information richness are 0.006 (directed communication) and 3.140 (undirected communication), whereas those for MGC information richness are insignificant. Moreover, the UGC valence elasticity of demand is 0.180 (undirected communication), whereas that for MGC valence is 0.004 (directed communication). Overall, UGC exhibits a stronger impact than MGC on consumer purchase behavior. Our findings provide various implications for academic research and practice. © 2013 INFORMS.
Source Title: Information Systems Research
URI: http://scholarbank.nus.edu.sg/handle/10635/77920
ISSN: 10477047
DOI: 10.1287/isre.1120.0469
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