Description
This research examines the impact of social media capability on innovation performance through knowledge ambidexterity, and the potential moderator role of business analytics talent on this equation. We test our proposed theory by performing a partial least squares path modeling on a secondary dataset on a sample composed of 100 small U.S. firms. The results of the empirical analysis suggest that social media capability enables firms to effectively balance exploration and exploitation of knowledge (i.e., knowledge ambidexterity), which in turn facilitates innovation performance. Business analytics talent plays a moderator role on these relationships.
Recommended Citation
Castillo, Ana; Benitez, Jose; Llorens-Montes, Francisco Javier; and Braojos, Jessica, "Introducing Analytics Talent in the Equation on Business Value of Social Media Capability: An Empirical Investigation" (2017). AMCIS 2017 Proceedings. 5.
https://aisel.aisnet.org/amcis2017/StrategicIT/Presentations/5
Introducing Analytics Talent in the Equation on Business Value of Social Media Capability: An Empirical Investigation
This research examines the impact of social media capability on innovation performance through knowledge ambidexterity, and the potential moderator role of business analytics talent on this equation. We test our proposed theory by performing a partial least squares path modeling on a secondary dataset on a sample composed of 100 small U.S. firms. The results of the empirical analysis suggest that social media capability enables firms to effectively balance exploration and exploitation of knowledge (i.e., knowledge ambidexterity), which in turn facilitates innovation performance. Business analytics talent plays a moderator role on these relationships.