Based on a review of 27 research papers related to social media analytics (SMA), we develop an integrated, unifying definition of Business SMA, providing a nuanced starting point for future Business SMA research. Our definition goes beyond being entirely customer-focused, encompasses both the external and internal organizational environs, and goes beyond intelligence gathering to also accommodate activities such as sense making, insight generation, problem/opportunity detection and solution/exploitation, and decision making. Further, we identify several benefits of Business SMA, and elaborate on some of them, while presenting recent empirical evidence in support of our observations. The paper also describes several challenges facing Busines...
Social media is one of the most disruptive technologies in executing a firm’s digital business trans...
Industrial and academic communities in the field of operations and supply chain management (OSCM) ha...
Organizations are increasingly required to make use of the considerable amount of data that is left ...
A sub-area of business analytics increasingly growing in prominence is social media analytics (SMA),...
Many companies have realized the immense potential of Social Media (SM) insights and have started to...
A sub-area of business analytics increasingly growing in prominence is social media analytics (SMA),...
The surge of interest in big social data has led to growing demand for social media analytics (SMA)....
A sub-area of business analytics increasingly growing in prominence is social media analytics (SMA) ...
Social media analytics (SMA) uses advanced techniques to analyze patterns in social media data to en...
The popularity of social media has continued to rise during the last decade, which has led to the de...
Purpose: In the midst of practitioners’ increasing use of social media analytics (SMA) in guiding pu...
Social Media Analytic (SMA) is an emerging trend driven by practitioners to access and ana-lyze the ...
This article is intended to serve as a primer of social media analytics. The paper explores differen...
Social media such as Facebook and Twitter have become important sources for understanding the stakeh...
This research article published by Veritas Publications LTD, 2021This paper presents the report of a...
Social media is one of the most disruptive technologies in executing a firm’s digital business trans...
Industrial and academic communities in the field of operations and supply chain management (OSCM) ha...
Organizations are increasingly required to make use of the considerable amount of data that is left ...
A sub-area of business analytics increasingly growing in prominence is social media analytics (SMA),...
Many companies have realized the immense potential of Social Media (SM) insights and have started to...
A sub-area of business analytics increasingly growing in prominence is social media analytics (SMA),...
The surge of interest in big social data has led to growing demand for social media analytics (SMA)....
A sub-area of business analytics increasingly growing in prominence is social media analytics (SMA) ...
Social media analytics (SMA) uses advanced techniques to analyze patterns in social media data to en...
The popularity of social media has continued to rise during the last decade, which has led to the de...
Purpose: In the midst of practitioners’ increasing use of social media analytics (SMA) in guiding pu...
Social Media Analytic (SMA) is an emerging trend driven by practitioners to access and ana-lyze the ...
This article is intended to serve as a primer of social media analytics. The paper explores differen...
Social media such as Facebook and Twitter have become important sources for understanding the stakeh...
This research article published by Veritas Publications LTD, 2021This paper presents the report of a...
Social media is one of the most disruptive technologies in executing a firm’s digital business trans...
Industrial and academic communities in the field of operations and supply chain management (OSCM) ha...
Organizations are increasingly required to make use of the considerable amount of data that is left ...