Economics at your fingertips  

Mining for Social Media: Usage Patterns of Small Businesses

Balan Shilpa () and Rege Janhavi ()
Additional contact information
Rege Janhavi: California State University-Los Angeles, College of Business and Economics, Los Angeles, USA

Business Systems Research, 2017, vol. 8, issue 1, 43-50

Abstract: Background: Information can now be rapidly exchanged due to social media. Due to its openness, Twitter has generated massive amounts of data. In this paper, we apply data mining and analytics to extract the usage patterns of social media by small businesses. Objectives: The aim of this paper is to describe with an example how data mining can be applied to social media. This paper further examines the impact of social media on small businesses. The Twitter posts related to small businesses are analyzed in detail. Methods/Approach: The patterns of social media usage by small businesses are observed using IBM Watson Analytics. In this paper, we particularly analyze tweets on Twitter for the hashtag #smallbusiness. Results: It is found that the number of females posting topics related to small business on Twitter is greater than the number of males. It is also found that the number of negative posts in Twitter is relatively low. Conclusions: Small firms are beginning to understand the importance of social media to realize their business goals. For future research, further analysis can be performed on the date and time the tweets were posted.

Keywords: social media; analysis; data mining; small business (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link) ... -0004.xml?format=INT (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Business Systems Research is currently edited by Mirjana Pejić Bach

More articles in Business Systems Research from Sciendo
Bibliographic data for series maintained by Peter Golla ().

Page updated 2018-08-30
Handle: RePEc:bit:bsrysr:v:8:y:2017:i:1:p:43-50:n:4