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Introduction to special issue: ACM SIGMETRICS 2016

Author

Listed:
  • Thomas Bonald

    (Telecom Paris-Tech)

  • Ayalvadi Ganesh

    (University of Bristol)

Abstract

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Suggested Citation

  • 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.
  • Handle: RePEc:spr:queues:v:88:y:2018:i:3:d:10.1007_s11134-018-9572-3
    DOI: 10.1007/s11134-018-9572-3
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    Cited by:

    1. Zhe (James) Zhang & Shivendu Shivendu & Peng Wang, 2021. "Is Investment in Data Analytics Always Profitable? The Case of Third‐Party‐Online‐Promotion Marketplace," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2321-2337, July.
    2. Xiangyu Chang & Yinghui Huang & Mei Li & Xin Bo & Subodha Kumar, 2021. "Efficient Detection of Environmental Violators: A Big Data Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1246-1270, May.
    3. 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).
    4. Tomer Geva & Maytal Saar‐Tsechansky, 2021. "Who Is a Better Decision Maker? Data‐Driven Expert Ranking Under Unobserved Quality," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 127-144, January.
    5. Sushil Gupta & Medha Tekriwal & Carlos M. Parra, 2022. "Permeation of the term “analytics” in production and operations management research," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3651-3667, October.

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