Social media sharing disposition (SMSD) as a driver of consumer information-sharing behavior

Abstract

Purpose Despite the continued focus on online sharing through social media, little consumer research has looked at this behavior as an independent construct or tried to determine how it relates to other consumer behaviors. Consequently, this study aims to explore the concept of social media sharing disposition (SMSD), proposes a measure of the construct, and, in five studies, assesses its reliability and validity and its relationship to other online and offline consumer behaviors. Design/methodology/approach Five studies using surveys were carried out to assess the SMSD construct. The studies gathered data to assess the properties and validities of SMSD, as well as its ability to assess offline and online sharing behavior. Findings The results indicate that SMSD is a useful construct that helps to explain people’s social media and offline sharing behavior, although its focus is primarily on social media sharing. It also displays convergent, discriminant and predictive validity. These results indicate that SMSD can be used to predict the likelihood of consumers sharing online information. They also confirm that SMSD works effectively in different cultural contexts. SMSD can also be used to assess consumer offline sharing behavior. Research limitations/implications There was neither an investigation of actual differences in behaviors among consumers in the number of posts or online reviews they undertook, based on SMSD, nor a study of whether individuals are more likely to incorporate brand information into their posts. Future research could explore these behaviors to determine whether they can be explained by SMSD. There was also no focus on a rationale for engaging in social media sharing; that is, there are no proposed antecedents of SMSD. Additional studies could assess antecedents of this construct. Practical implications Marketers interested in engaging consumers as participants in the dissemination of online (electronic) information can segment and target consumers on the basis of SMSD. Therefore, it can be used to determine who should be targeted with information to disperse to other consumers. It is likely that there is a relationship between SMSD and social media influencer (SMI) activity, so it could also be used to identify SMIs among consumer bases. It can also be adapted and applied to understanding offline sharing behavior. Originality/value The paper reports on SMSD and establishes that it is an additional construct that can help explain consumer information sharing. The construct relates to a social media context, where it may be increasingly difficult to identify consumers who engage in differential sharing of digital information.