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System Dynamics Understanding in Projects: Information Sharing, Psychological Safety, and Performance Effects

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  • Elliot Bendoly

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  • Elliot Bendoly, 2014. "System Dynamics Understanding in Projects: Information Sharing, Psychological Safety, and Performance Effects," Production and Operations Management, Production and Operations Management Society, vol. 23(8), pages 1352-1369, August.
    • Handle: RePEc:bla:popmgt:v:23:y:2014:i:8:p:1352-1369
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    File URL: http://hdl.handle.net/10.1111/poms.12024
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    Cited by:

    1. Schippers, M.C., 2017. "IKIGAI: Reflection on Life Goals Optimizes Performance and Happiness," ERIM Inaugural Address Series Research in Management EIA-2017-070-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    2. Klessova, Svetlana & Engell, Sebastian & Thomas, Catherine, 2022. "Assessment of the advancement of market-upstream innovations and of the performance of research and innovation projects," Technovation, Elsevier, vol. 116(C).
    3. Busby, J.S., 2019. "The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting," European Journal of Operational Research, Elsevier, vol. 276(1), pages 300-313.
    4. Arunachalam Narayanan & Brent B. Moritz, 2015. "Decision Making and Cognition in Multi-Echelon Supply Chains: An Experimental Study," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1216-1234, August.
    5. Svetlana Klessova & Sebastian Engell & Catherine Thomas, 2022. "Assessment of the advancement of market-upstream innovations and of the performance of research and innovation projects," Post-Print hal-03636260, HAL.
    6. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
    7. Kull, Thomas J. & Yan, Tingting & Liu, Zhongzhi & Wacker, John G., 2014. "The moderation of lean manufacturing effectiveness by dimensions of national culture: Testing practice-culture congruence hypotheses," International Journal of Production Economics, Elsevier, vol. 153(C), pages 1-12.
    8. Kennedy, Deanna M. & Sommer, S. Amy & Nguyen, Phuong Anh, 2017. "Optimizing multi-team system behaviors: Insights from modeling team communication," European Journal of Operational Research, Elsevier, vol. 258(1), pages 264-278.
    9. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.
    10. Ji, Hao & Sui, Ya-ting & Suo, Ling-ling, 2017. "Understanding innovation mechanism through the lens of communities of practice (COP)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 205-212.
    11. Mehrdokht Pournader & Andrew Kach & Seyed Hossein Razavi Hajiagha & Ali Emrouznejad, 2017. "Investigating the impact of behavioral factors on supply network efficiency: insights from banking’s corporate bond networks," Annals of Operations Research, Springer, vol. 254(1), pages 277-302, July.

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