Title :
Social Media Analytics and Business Value: A Theoretical Framework and Case Study
Author :
Bekmamedova, Nargiza ; Shanks, Graeme
Author_Institution :
Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
Social media analytics (SMA) uses advanced techniques to analyze patterns in social media data to enable informed and insightful decision-making. It provides organizations with new ways to create value and gain competitive advantage. In this paper, we present a theoretical framework that explains how organizations create value with SMA. We use the framework as a lens for a case study involving a large financial institution (Bankco) that used SMA as a critical component of a major and highly successful marketing campaign. Bankco successfully distinguished itself from its competitors with a marketing campaign based on the creative and innovative use of a number of social media channels. SMA provided Bankco with important insights into customer sentiments, engagement and brand awareness. A number of important lessons learned about effective use of SMA are discussed.
Keywords :
consumer behaviour; organisational aspects; social networking (online); Bankco; SMA; brand awareness; business value; customer engagement; customer sentiments; decision-making; large-financial institution; marketing campaign; pattern analysis; social media analytics; social media channels; social media data; theoretical framework; Barium; Decision making; Dynamic scheduling; Information management; Media; Organizations; Social media analytics; case study; dynamic capabilities; motivation; resource-based view;
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
DOI :
10.1109/HICSS.2014.464