Abstract
Discussion content in firm-specific social media helps managers understand stakeholders' concerns and make informed decisions. Despite such benefits, the over-abundance of information online makes it difficult to identify and focus on the most important stakeholder groups. In this study, we propose a novel stakeholder-based event analysis framework that uses online stylometric analysis to segment the forum participants by stakeholder groups, and partitions their messages into different time periods of major firm events to examine how important stakeholders evolve over time. With this approach, we identified stakeholder groups from a sample of six companies in the petrochemical and banking industries, using more than 500,000 online message postings. To evaluate the proposed system, we conducted market prediction within the identified groups, and compared the prediction performance with traditional approaches that did not account for stakeholder groups or events. Results showed that some stakeholder groups identified by our system had stronger relationships with firms' market performance, compared to the entire set of web forum participants. Incorporating event-induced temporal dynamics further improved the prediction performance.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 30-39 |
| Number of pages | 10 |
| Journal | Decision Support Systems |
| Volume | 67 |
| DOIs | |
| State | Published - 2014 |
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Keywords
- Community identification
- Market prediction
- Social media
- Stakeholder
ASJC Scopus subject areas
- Management Information Systems
- Information Systems
- Developmental and Educational Psychology
- Arts and Humanities (miscellaneous)
- Information Systems and Management
Cite this
Analyzing firm-specific social media and market : A stakeholder-based event analysis framework. / Jiang, Shan; Chen, Hsinchun; Nunamaker, Jay F; Zimbra, David.
In: Decision Support Systems, Vol. 67, 2014, p. 30-39.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Analyzing firm-specific social media and market
T2 - A stakeholder-based event analysis framework
AU - Jiang, Shan
AU - Chen, Hsinchun
AU - Nunamaker, Jay F
AU - Zimbra, David
PY - 2014
Y1 - 2014
N2 - Discussion content in firm-specific social media helps managers understand stakeholders' concerns and make informed decisions. Despite such benefits, the over-abundance of information online makes it difficult to identify and focus on the most important stakeholder groups. In this study, we propose a novel stakeholder-based event analysis framework that uses online stylometric analysis to segment the forum participants by stakeholder groups, and partitions their messages into different time periods of major firm events to examine how important stakeholders evolve over time. With this approach, we identified stakeholder groups from a sample of six companies in the petrochemical and banking industries, using more than 500,000 online message postings. To evaluate the proposed system, we conducted market prediction within the identified groups, and compared the prediction performance with traditional approaches that did not account for stakeholder groups or events. Results showed that some stakeholder groups identified by our system had stronger relationships with firms' market performance, compared to the entire set of web forum participants. Incorporating event-induced temporal dynamics further improved the prediction performance.
AB - Discussion content in firm-specific social media helps managers understand stakeholders' concerns and make informed decisions. Despite such benefits, the over-abundance of information online makes it difficult to identify and focus on the most important stakeholder groups. In this study, we propose a novel stakeholder-based event analysis framework that uses online stylometric analysis to segment the forum participants by stakeholder groups, and partitions their messages into different time periods of major firm events to examine how important stakeholders evolve over time. With this approach, we identified stakeholder groups from a sample of six companies in the petrochemical and banking industries, using more than 500,000 online message postings. To evaluate the proposed system, we conducted market prediction within the identified groups, and compared the prediction performance with traditional approaches that did not account for stakeholder groups or events. Results showed that some stakeholder groups identified by our system had stronger relationships with firms' market performance, compared to the entire set of web forum participants. Incorporating event-induced temporal dynamics further improved the prediction performance.
KW - Community identification
KW - Market prediction
KW - Social media
KW - Stakeholder
UR - http://www.scopus.com/inward/record.url?scp=85027931402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85027931402&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2014.08.001
DO - 10.1016/j.dss.2014.08.001
M3 - Article
AN - SCOPUS:85027931402
VL - 67
SP - 30
EP - 39
JO - Decision Support Systems
JF - Decision Support Systems
SN - 0167-9236
ER -