Abstract
In recent years, usage of social media websites have been soaring. This trend not only limits to personal but corporate web-sites. The latter platforms contain an enormous amount of data posted by customers or users. Without a surprise, the data in corporate social media web-sites are normally link to the products or services provided by the companies. Therefore, the data can be utilized for the sake of companies’ benefits. For example, operations management research and practice with the objective to make decisions on product and process design. Nevertheless, little has been done in this area. In this connection, this paper presents a case study to showcase how social media data can be exploited. A structured approach is proposed which involves the analysis of social media comments and a statistical cluster analysis to identify the inter-relationships among important factors.
Original language | English |
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Number of pages | 4 |
DOIs | |
Publication status | Published - Dec 2014 |
Event | IEEM 2014 - Sunway Resort Hotel & Spa, Kuala Lumpur, Malaysia Duration: 9 Dec 2014 → 12 Dec 2014 |
Conference
Conference | IEEM 2014 |
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Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 9/12/14 → 12/12/14 |
Keywords
- data mining
- social media
- social networks
- social graph
- text mining
- content analysis
- cluster analysis