Author List: Rishika, Rishika; Kumar, Ashish; Janakiraman, Ramkumar; Bezawada, Ram;
Information Systems Research, 2013, Volume 24, Issue 1, Page 108-127.
In this study we examine the effect of customers' participation in a firm's social media efforts on the intensity of the relationship between the firm and its customers as captured by customers' visit frequency. We further hypothesize and test for the moderating roles of social media activity and customer characteristics on the link between social media participation and the intensity of customer-firm relationship. Importantly, we also quantify the impact of social media participation on customer profitability. We assemble a novel data set that combines customers' social media participation data with individual customer level transaction data. To account for endogeneity that could arise because of customer self-selection, we utilize the propensity score matching technique in combination with difference in differences analysis. Our results suggest that customer participation in a firm's social media efforts leads to an increase in the frequency of customer visits. We find that this participation effect is greater when there are high levels of activity in the social media site and for customers who exhibit a strong patronage with the firm, buy premium products, and exhibit lower levels of buying focus and deal sensitivity. We find that the above set of results holds for customer profitability as well. We discuss theoretical implications of our results and offer prescriptions for managers on how to engage customers via social media. Our study emphasizes the need for managers to integrate knowledge from customers' transactional relationship with their social media participation to better serve customers and create sustainable business value.
Keywords: customer profitability; customer-firm relationship; difference-in-differences; propensity score matching; quasi-experiment; shopping visit frequency; social media marketing; social media participation
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#262 0.202 impact data effect set propensity potential unique increase matching use selection score results self-selection heterogeneity evidence measure associated estimate leads
#288 0.198 customer customers crm relationship study loyalty marketing management profitability service offer retention it-enabled web-based interactions operations sales strategy channels set
#131 0.197 media social content user-generated ugc blogs study online traditional popularity suggest different discourse news making anonymity marketing videos choices page
#269 0.080 participation activities different roles projects examined outcomes level benefits conditions key importance isd suggest situations contextual furthermore benefit levels focus
#161 0.076 role relationship positively light important understanding related moderating frequency intensity play stronger shed contribution past considered maintenance effort effect specifically
#173 0.065 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#254 0.055 level levels higher patterns activity results structures lower evolution significant analysis degree data discussed implications stable cluster exist relationships identify