Commentary on “Visualization in Operations Management Research”

Published Online:https://doi.org/10.1287/ijds.2022.0014

References

  • Basole RC, Bendoly E, Chandrasekaran A, Linderman K (2021) Visualization in operations management research. INFORMS J. Data Sci., ePub ahead of print November 17, https://doi.org/10.1287/ijds.2021.0005.Google Scholar
  • Bowman DA, Gabbard JL, Hix D (2002) A survey of usability evaluation in virtual environments: Classification and comparison of methods. Presence 11(4):404–424.Google Scholar
  • Chen X, Lau N, Jin R (2021) PRIME: A personalized recommender system for information visualization methods via extended matrix completion. ACM Trans. Interactive Intelligent Systems 11(1):1–30.Google Scholar
  • Czigler I (2007) Visual mismatch negativity: Violation of nonattended environmental regularities. J. Psychophysiol. 21(3–4):224–230.Google Scholar
  • Kang X, Chen X, Jin R, Wu H, Deng X (2021) Multivariate regression of mixed responses for evaluation of visualization designs. IISE Trans. 53(3):313–325.Google Scholar
  • Shneiderman B (1996) The eyes have it: A task by data type taxonomy for information visualizations. Chesire M, Burnett M, Van Zee P, eds. Proc. 1996 Sympos. Visual Languages (IEEE Computer Society Press, Los Alamitos, CA), 336–343.Google Scholar
  • Spence R (2001) Information Visualization, 1st ed. (ACM, New York).Google Scholar
  • van der Aalst W (2016) Data science in action. Process Mining: Data Science in Action, 2nd ed. (Springer, Berlin), 3–23.Google Scholar
  • Zeng Y, Deng X, Chen X, Jin R (2021) A prediction-oriented optimal design for visualisation recommender systems. Statist. Theory Related Fields 5(2):134–148.Google Scholar
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