When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?

Tsan Ming Choi, Shu Guo, Suyuan Luo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)

Abstract

Social media analytics is very critical in modern supply chain operations management (SCOM). However, in terms of methods, conducting social media analytics (SMA) for SCOM faces many challenges. Problems such as data accuracy (e.g., fake data), user privacy, data security, etc. are all present. Recently, with the emergence of blockchain technology (BCT), many new social media apps and platforms are developed. Motivated by the fact that (i) SMA is important for SCOM, (ii) the traditional social media (TSM) has insufficiency, and (iii) the “blockchain technology supported social media” (BSM) platforms have emerged, we explore whether and how the BSM would enhance social media analytics for SCOM. To be specific, by reviewing papers published in leading SCOM journals, we identify the applications and limitations of SMA for SCOM. Then, we conduct real case studies to examine the shortcomings of the TSM platforms and reveal features of their BSM counterparts. We investigate how the blockchain technology would potentially improve the use of SMA for SCOM. Finally, a future research agenda is proposed.

Original languageEnglish
Article number101860
JournalTransportation Research Part E: Logistics and Transportation Review
Volume135
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Blockchain technology
  • Case studies
  • Methods
  • Operations management
  • Social media analytics

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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