Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research
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Big Data and social media have not been thoroughly examined in the field of supply chain management.
“Recently, Chae (2015) noted that Big Data and social media have not been thoroughly examined in the field of SCM.”
From Big Data and supply chain management: A review and bibliometric analysis (2018) · cites this paper as Chae (2015)
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- Authors
- Chae, B. (.
- Affiliations
- Kansas State University (US)
- Corresponding author
- Chae, Bongsug (Kevin)
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 165
- Pages
- 247-259
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W1986428794
- Cited by
- 481
- References
- 82
- Citations by year
- 2026: 14 · 2025: 39 · 2024: 32 · 2023: 53 · 2022: 51 · 2021: 61 · 2020: 54 · 2019: 45 · 2018: 54 · 2017: 48 · 2016: 25 · 2015: 5
- FWCI
- 89.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Strategy and Management › Supply Chain Resilience and Risk Management
- Keywords
- Twitter, supply chain management, social media analytics, descriptive analytics, content analytics, network analysis, sentiment analysis, text mining, stakeholder engagement, supply chain risk management, information sharing, professional networking, big data
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