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From T-Mazes to Labyrinths: Learning from Model-Based Feedback

Citations

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Cited by:

  1. Giovanni Dosi & Luigi Marengo & Evita Paraskevopoulou & Marco Valente, 2017. "A model of cognitive and operational memory of organizations in changing worlds," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 41(3), pages 775-806.
  2. Giovanni. Gavetti & Daniel A. Levinthal, 2004. "50th Anniversay Article: The Strategy Field from the Perspective of Management Science: Divergent Strands and Possible Integration," Management Science, INFORMS, vol. 50(10), pages 1309-1318, October.
  3. Jerker Denrell, 2004. "Comment: The Performance of Performance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 8(4), pages 345-349, October.
  4. Fernando Anjos & Ray Reagans, 2020. "Networks in the balance: an agent-based model of optimal exploitation," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-26, December.
  5. Phanish Puranam & Murali Swamy, 2016. "How Initial Representations Shape Coupled Learning Processes," Organization Science, INFORMS, vol. 27(2), pages 323-335, April.
  6. Hazhir Rahmandad, 2008. "Effect of Delays on Complexity of Organizational Learning," Management Science, INFORMS, vol. 54(7), pages 1297-1312, July.
  7. Linda Argote & Ella Miron-Spektor, 2011. "Organizational Learning: From Experience to Knowledge," Organization Science, INFORMS, vol. 22(5), pages 1123-1137, October.
  8. Anindya Ghosh & Xavier Martin & Johannes M. Pennings & Filippo Carlo Wezel, 2014. "Ambition Is Nothing Without Focus: Compensating for Negative Transfer of Experience in R&D," Organization Science, INFORMS, vol. 25(2), pages 572-590, April.
  9. Jeoung Yul Lee & Alfredo Jiménez & Timothy M. Devinney, 2020. "Learning in SME Internationalization: A New Perspective on Learning From Success versus Failure," Management International Review, Springer, vol. 60(4), pages 485-513, August.
  10. Helmut M. Dietl & Markus Lang & Eric Lucas & Dirk Martignoni, 2012. "Learning Through Inaccurate Replication," Working Papers 312, University of Zurich, Department of Business Administration (IBW).
  11. Huayong Du & Ying Teng & Zhenzhong Ma & Xuguang Guo, 2022. "Value Creation in Platform Enterprises: A Fuzzy-Set Qualitative Comparative Analysis," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
  12. Phanish Puranam, 2021. "Human–AI collaborative decision-making as an organization design problem," Journal of Organization Design, Springer;Organizational Design Community, vol. 10(2), pages 75-80, June.
  13. June-Young Kim & Ji-Yub (Jay) Kim & Anne S. Miner, 2009. "Organizational Learning from Extreme Performance Experience: The Impact of Success and Recovery Experience," Organization Science, INFORMS, vol. 20(6), pages 958-978, December.
  14. Michael G. Jacobides & Sidney G. Winter, 2012. "Capabilities: Structure, Agency, and Evolution," Organization Science, INFORMS, vol. 23(5), pages 1365-1381, October.
  15. Camblanne, Lionel, 2013. "Family vision and cognition: An illustration through forest owners’ harvesting decisions," Journal of Family Business Strategy, Elsevier, vol. 4(4), pages 245-259.
  16. Oliver Baumann & Nicolaj Siggelkow, 2013. "Dealing with Complexity: Integrated vs. Chunky Search Processes," Organization Science, INFORMS, vol. 24(1), pages 116-132, February.
  17. Christina Fang & Daniel Levinthal, 2009. "Near-Term Liability of Exploitation: Exploration and Exploitation in Multistage Problems," Organization Science, INFORMS, vol. 20(3), pages 538-551, June.
  18. Hart E. Posen & John S. Chen, 2013. "An Advantage of Newness: Vicarious Learning Despite Limited Absorptive Capacity," Organization Science, INFORMS, vol. 24(6), pages 1701-1716, December.
  19. Kent D. Miller & Shu-Jou Lin, 2010. "Different Truths in Different Worlds," Organization Science, INFORMS, vol. 21(1), pages 97-114, February.
  20. Shenshen Gu & Yue Yang, 2020. "A Deep Learning Algorithm for the Max-Cut Problem Based on Pointer Network Structure with Supervised Learning and Reinforcement Learning Strategies," Mathematics, MDPI, vol. 8(2), pages 1-20, February.
  21. David Maslach & Oana Branzei & Claus Rerup & Mark J. Zbaracki, 2018. "Noise as Signal in Learning from Rare Events," Organization Science, INFORMS, vol. 29(2), pages 225-246, April.
  22. Christina Fang & Jeho Lee & Melissa A. Schilling, 2010. "Balancing Exploration and Exploitation Through Structural Design: The Isolation of Subgroups and Organizational Learning," Organization Science, INFORMS, vol. 21(3), pages 625-642, June.
  23. Christina Fang, 2012. "Organizational Learning as Credit Assignment: A Model and Two Experiments," Organization Science, INFORMS, vol. 23(6), pages 1717-1732, December.
  24. Kim, Nami & Kim, Eonsoo & Lee, Jongseon, 2021. "Innovating by eliminating: Technological resource divestiture and firms’ innovation performance," Journal of Business Research, Elsevier, vol. 123(C), pages 176-187.
  25. Anindya Ghosh & Lori Rosenkopf, 2015. "PERSPECTIVE—Shrouded in Structure: Challenges and Opportunities for a Friction-Based View of Network Research," Organization Science, INFORMS, vol. 26(2), pages 622-631, April.
  26. Sheen S. Levine & Michael J. Prietula & Ann Majchrzak, 2022. "Advice in Crisis: Principles of Organizational and Entrepreneurial Resilience," Journal of Organization Design, Springer;Organizational Design Community, vol. 11(4), pages 145-168, December.
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