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Ten Most Influential Papers of Management Science's First Fifty Years

Author

Listed:
  • Wallace J. Hopp (Editor-in-Chief)

    (Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208)

Abstract

In this issue, we reproduce 10 of the most important papers published in Management Science from 1954 to 2003. Each paper is followed by a commentary by the author(s) and other scholars that offers insights into the background, creation, or subsequent impact of the paper.

Suggested Citation

  • Wallace J. Hopp (Editor-in-Chief), 2004. "Ten Most Influential Papers of Management Science's First Fifty Years," Management Science, INFORMS, vol. 50(12_supple), pages 1763-1763, December.
    • Handle: RePEc:inm:ormnsc:v:50:y:2004:i:12_supplement:p:1763-1763
    DOI: 10.1287/mnsc.1040.0299
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    Citations

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    Cited by:

    1. Thomas L. Magnanti, 2021. "Optimization: From Its Inception," Management Science, INFORMS, vol. 67(9), pages 5349-5363, September.
    2. Wallace J. Hopp & David Simchi-Levi, 2021. "Management Science : The Legacy of the Past and Challenge of the Future," Management Science, INFORMS, vol. 67(9), pages 5306-5316, September.
    3. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    4. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    5. Fleischhacker, Adam J. & Zhao, Yao, 2011. "Planning for demand failure: A dynamic lot size model for clinical trial supply chains," European Journal of Operational Research, Elsevier, vol. 211(3), pages 496-506, June.
    6. Ramírez-Hassan, Andrés & Montoya-Blandón, Santiago, 2020. "Forecasting from others’ experience: Bayesian estimation of the generalized Bass model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 442-465.
    7. Singhal, Shakshi & Anand, Adarsh & Singh, Ompal, 2020. "Studying dynamic market size-based adoption modeling & product diffusion under stochastic environment," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    8. Rovelli, Paola & Ferasso, Marcos & De Massis, Alfredo & Kraus, Sascha, 2022. "Thirty years of research in family business journals: Status quo and future directions," Journal of Family Business Strategy, Elsevier, vol. 13(3).
    9. Vargas, Vicente, 2009. "An optimal solution for the stochastic version of the Wagner-Whitin dynamic lot-size model," European Journal of Operational Research, Elsevier, vol. 198(2), pages 447-451, October.
    10. Fibich, Gadi & Levin, Tomer, 2020. "Percolation of new products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    11. Aleda Roth & Eve Rosenzweig, 2020. "Advancing Empirical Science in Operations Management Research: A Clarion Call to Action," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 179-190, January.

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