posted by user: vincentdutot || 874 views || tracked by 1 users: [display]

SMI 2015 : Social Media and Business Intelligence: Defining and Understanding Social Media Intelligence


When N/A
Where N/A
Submission Deadline Feb 15, 2015
Notification Due Apr 15, 2015
Final Version Due May 15, 2015
Categories    definition and components   nurturing and engagement   business intelligence and crm   strategy

Call For Papers

The Social Media phenomenon has been identified as one of the hot issues of our time and there have been numerous attempts to exploit its potential in the business world. Researchers and scientists are also increasingly turning their focus on this area (Dutot, 2013; Castelló and Ros, 2012; Proulx et al., 2012). However, we argue that there is still a great deal of misunderstanding as to how Social Media can be used effectively by business organizations. There are many claims that social media are essential to business, but understanding the hard science behind how this relatively new technology can create solid Return On Investment (ROI) or generate efficient Customer Relationship Management (CRM) can be confusing.

For many, Social Media and Business Intelligence are now inseparable (Nagle and Pope, 2013). Indeed, even the most basic user of any social network asks themselves such questions as “How many followers do I have?” or “What’s trending today?” and it is up to Business Intelligence to tease out these answers in a comprehensive and scientific way so that the information can be organized and stored in a way that provides business value and improve decision-making (Power and Philips-Wren, 2012). This allows for companies to gain competitive edge, cut costs and release products with a higher degree of success. Combining social media and business intelligence for small and medium enterprises is even more crucial. It allows them to reach a greater audience, more effective targeting and substantial cost savings. As the same time, advertising and marketing can be created more efficiently, and changes within the organization are made (Weman, 2011; Divol et al., 2012).

This special issue looks for articles that improve the literature on both social media and business intelligence in order to help us understand how the data from social media can be used by firms in order to improve their organizational decision systems and overall performance.

Related Resources

UP 2017   Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies
CSCESM 2017   The Fourth International Conference on Computer Science, Computer Engineering and Social Media
ECSM 2017   4th European Conference on Social Media ECSM 2017
WLEC 2017   8th Annual Women's Leadership and Empowerment Conference
Speclial Issue of JoCS on Intelligent CT 2016   Elsevier-Journal of Computational Science- Special Issue On Intelligent Computational Techniques (Intelligent CT)
Sideways 2017   Social Media World Sensors 2017
CyberSA 2017   International Conference On Cyber Situational Awareness, Data Analytics And Assessment
BigData-FAB 2016   Special Issue on “Big Data and Machine Learning in Finance, Accounting and Business” in Electronic Commerce Research (Springer)
IICSSHawaii 2017   The IAFOR International Conference on Social Sciences – Hawaii 2017