THE USE OF SOCIAL MEDIA IN THE SUPPLY CHAIN: SURVEY AND EXTENSIONS
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SUMMARY: This paper investigates the capabilities of social media, such as Facebook, Twitter, Delicious, Digg and others, for their current and potential impact on the supply chain. In particular, this paper examines the use of social media to capture the impact on supply‐chain events and develop a context for those events. This paper also analyses the use of social media in the supply chain to build relationships among supply‐chain participants. Further, this paper investigates the of use of user‐supplied tags as a basis of evaluating and extending an ontology for supply chains. In addition, using knowledge discovery from social media, a number of concepts related to the supply chain are examined, including supply‐chain reputation and influence within the supply chain. Prediction markets are analysed for their potential use in supply chains. Finally, this paper investigates the integration of traditional knowledge management along with knowledge generated from social media. Copyright © 2011 John Wiley & Sons, Ltd.
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Consumer reviews and social media posts often reflect happiness, frustration, disappointment, delight and other feelings.
“Consumer reviews and social media posts often reflect happiness, frustration, disappointment, delight and other feelings (O'Leary, 2011).”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as O'Leary, 2011
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- Authors
- O'leary, D. E.
- Affiliations
- Marshall School of Business University of Southern California Los Angeles CA 90089-0441 USA
- Venue
- Intelligent Systems in Accounting, Finance and Management
- Publisher
- Wiley
- Published
- 2011-04
- Volume
- 18
- Issue
- 2-3
- Pages
- 121-144
- ISSN
- 1055-615X (ISSN-L)
- 1550-1949
- 2160-0074
- OpenAlex
- W3122786987
- Cited by
- 118
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 7 · 2023: 6 · 2022: 13 · 2021: 17 · 2020: 13 · 2019: 8 · 2018: 12 · 2017: 10 · 2016: 9 · 2015: 8 · 2014: 6 · 2013: 4 · 2012: 2
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Social Sciences › Business, Management and Accounting › Strategy and Management › Supply Chain Resilience and Risk Management
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- social media, supply chain management, Facebook, Twitter, Delicious, Digg, ontology extension, prediction markets, knowledge discovery, knowledge management
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