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

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  • Choi, Tsan-Ming
  • Guo, Shu
  • Luo, Suyuan

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.

Suggested Citation

  • Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    • Handle: RePEc:eee:transe:v:135:y:2020:i:c:s1366554519315339
    DOI: 10.1016/j.tre.2020.101860
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    as
    1. ., 2019. "Social policy in the Abrahamic religions," Chapters, in: Religion and Finance, chapter 4, pages 75-100, Edward Elgar Publishing.
    2. Kalyan Singhal & Qi Feng & Ram Ganeshan & Nada R. Sanders & J. George Shanthikumar, 2018. "Introduction to the Special Issue on Perspectives on Big Data," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1639-1641, September.
    3. Vahideh Sadat Abedi & Oded Berman & Dmitry Krass, 2014. "Supporting New Product or Service Introductions: Location, Marketing, and Word of Mouth," Operations Research, INFORMS, vol. 62(5), pages 994-1013, October.
    4. Ma, Jie & Tse, Ying Kei & Wang, Xiaojun & Zhang, Minhao, 2019. "Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 192-205.
    5. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    6. Tsan‐Ming Choi & James H. Lambert, 2017. "Advances in Risk Analysis with Big Data," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1435-1442, August.
    7. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    8. Sun, Luoyi & Teunter, Ruud H. & Babai, M. Zied & Hua, Guowei, 2019. "Optimal pricing for ride-sourcing platforms," European Journal of Operational Research, Elsevier, vol. 278(3), pages 783-795.
    9. Ruomeng Cui & Santiago Gallino & Antonio Moreno & Dennis J. Zhang, 2018. "The Operational Value of Social Media Information," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1749-1769, October.
    10. Subodha Kumar & Vijay Mookerjee & Abhinav Shubham, 2018. "Research in Operations Management and Information Systems Interface," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 1893-1905, November.
    11. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao, 2016. "Multi-Methodological Research in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 379-389, March.
    12. Baozhuang Niu & Zongbao Zou, 2017. "Better Demand Signal, Better Decisions? Evaluation of Big Data in a Licensed Remanufacturing Supply Chain with Environmental Risk Considerations," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1550-1565, August.
    13. Samayita Guha & Subodha Kumar, 2018. "Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1724-1735, September.
    14. Nishikant Mishra & Akshit Singh, 2018. "Use of twitter data for waste minimisation in beef supply chain," Annals of Operations Research, Springer, vol. 270(1), pages 337-359, November.
    15. Hou, Ruiqi & de Koster, René & Yu, Yugang, 2018. "Service investment for online retailers with social media—Does it pay off?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 606-628.
    16. Resul Cesur & Pinar Mine Gunes & Erdal Tekin & Aydogan Ulker, 2023. "Socialized Healthcare and Women’s Fertility Decisions," Journal of Human Resources, University of Wisconsin Press, vol. 58(3), pages 1028-1055.
    17. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    18. Lu (Lucy) Yan & Xiangbin Yan & Yong Tan & Sherry X. Sun, 2019. "Shared Minds: How Patients Use Collaborative Information Sharing via Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 28(1), pages 9-26, January.
    19. Kostas Bimpikis & Asuman Ozdaglar & Ercan Yildiz, 2016. "Competitive Targeted Advertising Over Networks," Operations Research, INFORMS, vol. 64(3), pages 705-720, June.
    20. -, 2019. "Institucionalidad social en América Latina y el Caribe," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 42061 edited by Cepal.
    21. Wang, Yingjia & Lin, Jiaxin & Choi, Tsan-Ming, 2020. "Gray market and counterfeiting in supply chains: A review of the operations literature and implications to luxury industries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    22. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
    23. Wang, Yingli & Singgih, Meita & Wang, Jingyao & Rit, Mihaela, 2019. "Making sense of blockchain technology: How will it transform supply chains?," International Journal of Production Economics, Elsevier, vol. 211(C), pages 221-236.
    24. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.
    25. Guo, Shu & Choi, Tsan-Ming & Shen, Bin, 2020. "Green product development under competition: A study of the fashion apparel industry," European Journal of Operational Research, Elsevier, vol. 280(2), pages 523-538.
    26. James Alm & William D. Schulze & Carrie von Bose & Jubo Yan, 2019. "Appeals to Social Norms and Taxpayer Compliance," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 638-666, October.
    27. Fry, John & Binner, Jane M., 2016. "Elementary modelling and behavioural analysis for emergency evacuations using social media," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1014-1023.
    28. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Hing Kai Chan & Xiaojun Wang & Ewelina Lacka & Min Zhang, 2016. "A Mixed-Method Approach to Extracting the Value of Social Media Data," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 568-583, March.
    29. Choi, Tsan-Ming, 2018. "Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 386-397.
    30. Singh, Akshit & Shukla, Nagesh & Mishra, Nishikant, 2018. "Social media data analytics to improve supply chain management in food industries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 398-415.
    31. Fan, Zhi-Ping & Sun, Minghe, 2015. "Behavior-aware user response modeling in social media: Learning from diverse heterogeneous dataAuthor-Name: Chen, Zhen-Yu," European Journal of Operational Research, Elsevier, vol. 241(2), pages 422-434.
    32. Jean-Michel Sahut & Marta Peris-Ortiz & Frédéric Teulon, 2019. "Corporate social responsibility and governance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(4), pages 901-912, December.
    33. Choi, Tsan-Ming & Luo, Suyuan, 2019. "Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 139-152.
    34. Joseph F. Coughlin & Martina Raue & Lisa A. D'Ambrosio & Carley Ward & Chaiwoo Lee, 2019. "Special Series: Social Science of Automated Driving," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 293-294, February.
    35. Ilan Lobel & Evan Sadler & Lav R. Varshney, 2017. "Customer Referral Incentives and Social Media," Management Science, INFORMS, vol. 63(10), pages 3514-3529, October.
    36. ., 2019. "The economic, social and political impact," Chapters, in: The Robot Revolution, chapter 6, pages 87-100, Edward Elgar Publishing.
    37. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    38. Sheu, Jiuh-Biing & Choi, Tsan-Ming, 2019. "Extended consumer responsibility: Syncretic value-oriented pricing strategies for trade-in-for-upgrade programs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 350-367.
    39. Omar Besbes & Yonatan Gur & Assaf Zeevi, 2016. "Optimization in Online Content Recommendation Services: Beyond Click-Through Rates," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 15-33, February.
    40. Cai, Ya-Jun & Chen, Yue & Siqin, Tana & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Pay upfront or pay later? Fixed royal payment in sustainable fashion brand franchising," International Journal of Production Economics, Elsevier, vol. 214(C), pages 95-105.
    41. Sinan Aral & Dylan Walker, 2014. "Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment," Management Science, INFORMS, vol. 60(6), pages 1352-1370, June.
    42. Tang, Christopher S. & Veelenturf, Lucas P., 2019. "The strategic role of logistics in the industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 1-11.
    43. Choi, Tsan-Ming & Liu, Na, 2019. "Optimal advertisement budget allocation and coordination in luxury fashion supply chains with multiple brand-tier products," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 95-107.
    44. Hongyu Chen & Zhiqiang (Eric) Zheng & Yasin Ceran, 2016. "De-Biasing the Reporting Bias in Social Media Analytics," Production and Operations Management, Production and Operations Management Society, vol. 25(5), pages 849-865, May.
    45. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    46. Yan Huang & Param Vir Singh & Anindya Ghose, 2015. "A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media," Management Science, INFORMS, vol. 61(12), pages 2825-2844, December.
    47. Ballings, Michel & Van den Poel, Dirk, 2015. "CRM in social media: Predicting increases in Facebook usage frequency," European Journal of Operational Research, Elsevier, vol. 244(1), pages 248-260.
    48. Helbling, Marc & Jungkunz, Sebastian, 2019. "Social divides in the age of globalization," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1-1.
    49. Thomas Bonald & Ayalvadi Ganesh, 2018. "Introduction to special issue: ACM SIGMETRICS 2016," Queueing Systems: Theory and Applications, Springer, vol. 88(3), pages 205-206, April.
    50. Raymond Yiu Keung Lau & Wenping Zhang & Wei Xu, 2018. "Parallel Aspect‐Oriented Sentiment Analysis for Sales Forecasting with Big Data," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1775-1794, October.
    51. Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2019. "Individual-level social influence identification in social media: A learning-simulation coordinated method," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1005-1015.
    52. Chun‐Hung Chiu & Tsan‐Ming Choi & Xin Dai & Bin Shen & Jin‐Hui Zheng, 2018. "Optimal Advertising Budget Allocation in Luxury Fashion Markets with Social Influences: A Mean‐Variance Analysis," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1611-1629, August.
    53. Helbling, Marc & Jungkunz, Sebastian, 2020. "Social divides in the age of globalization," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(6), pages 1187-1210.
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