https://scholars.lib.ntu.edu.tw/handle/123456789/612191
標題: | When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management? | 作者: | Choi T.-M. Guo S. Luo S. TSAN MING CHOI |
關鍵字: | Blockchain technology; Case studies; Methods; Operations management; Social media analytics | 公開日期: | 2020 | 出版社: | Elsevier Ltd | 卷: | 135 | 來源出版物: | Transportation Research Part E: Logistics and Transportation Review | 摘要: | 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 ?lockchain 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. ? 2020 Elsevier Ltd |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078294085&doi=10.1016%2fj.tre.2020.101860&partnerID=40&md5=c8cf1c68b59107240d21f5d059e24f8a https://scholars.lib.ntu.edu.tw/handle/123456789/612191 |
DOI: | 10.1016/j.tre.2020.101860 | SDG/關鍵字: | accuracy assessment; data management; operations technology; record; social media; supply chain management |
顯示於: | 工商管理學系 |
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