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What a pandemic reveals about learning in health care organizations

Published online by Cambridge University Press:  24 May 2021

Christopher G. Myers Open the ORCID record for Christopher G. Myers [Opens in a new window] ,
Michael A. Rosen  and
Christina T. Yuan
Christopher G. Myers*
Affiliation:
Carey Business School, Johns Hopkins University, Baltimore, MD, USA
Michael A. Rosen
Affiliation:
School of Medicine, Johns Hopkins University, Baltimore, MD, USA
Christina T. Yuan
Affiliation:
School of Medicine, Johns Hopkins University, Baltimore, MD, USA
*
*Corresponding author. Email: [email protected].
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 14 , Special Issue 1-2: Special Pandemic Issue , June 2021 , pp. 126 - 129
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology.

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References

Biancani, S., McFarland, D. A., & Dahlander, L. (2014). The semiformal organization. Organization Science, 25(5), 1306–1324. https://doi.org/10.1287/orsc.2013.0882 CrossRefGoogle Scholar
Dahlin, K. B., Chuang, Y.-T., & Roulet, T. J. (2018). Opportunity, motivation, and ability to learn from failures and errors: Review, synthesis, and ways to move forward. Academy of Management Annals, 12(1), 252–277. https://doi.org/10.5465/annals.2016.0049 CrossRefGoogle Scholar
Myers, C. G. (2020). Vicarious learning in the time of coronavirus. Behavioral Science & Policy. https://behavioralpolicy.org/articles/vicarious-learning-in-the-time-of-coronavirus/ Google Scholar
Nembhard, I. M., & Tucker, A. L. (2011). Deliberate learning to improve performance in dynamic service settings: Evidence from hospital intensive care units. Organization Science, 22(4), 907–922. https://doi.org/10.1287/orsc.1100.0570 CrossRefGoogle Scholar
Noe, R. A., Clarke, A. D. M., & Klein, H. J. (2014). Learning in the twenty-first-century workplace. Annual Review of Organizational Psychology and Organizational Behavior, 1(1), 245–275. https://doi.org/10.1146/annurev-orgpsych-031413-091321 CrossRefGoogle Scholar
Rudolph, C. W., Allan, B., Clark, M., Hertel, G., Hirschi, A., Kunze, F., Shockley, K., Shoss, M., Sonnentag, S., & Zacher, H. (2021). Pandemics: Implications for research and practice in industrial and organizational psychology. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(1), 1–35.Google Scholar
Staw, B. M., Sandelands, L. E., & Dutton, J. E. (1981). Threat rigidity effects in organizational behavior: A multilevel analysis. Administrative Science Quarterly, 26(4), 501–524. https://doi.org/10.2307/2392337 CrossRefGoogle Scholar
Tsai, T. C., Jha, A. K., Gawande, A. A., Huckman, R. S., Bloom, N., & Sadun, R. (2015). Hospital board and management practices are strongly related to hospital performance on clinical quality metrics. Health Affairs, 34(8), 1304–1311. https://doi.org/10.1377/hlthaff.2014.1282 CrossRefGoogle ScholarPubMed
Weaver, S. J., Dy, S. M., & Rosen, M. A. (2014). Team-training in healthcare: A narrative synthesis of the literature. BMJ Quality & Safety, 23(5), 359–372. https://qualitysafety.bmj.com/content/23/5/359.short CrossRefGoogle ScholarPubMed
Weick, K. E., & Sutcliffe, K. M. (2007). Managing the unexpected: Resilient performance in an age of uncertainty (2nd ed.). Jossey-Bass.Google Scholar
Yuan, C. T., Bradley, E. H., & Nembhard, I. M. (2015). A mixed methods study of how clinician ‘super users’ influence others during the implementation of electronic health records. BMC Medical Informatics and Decision Making, 15, 1–10. https://doi.org/10.1186/s12911-015-0154-6 CrossRefGoogle ScholarPubMed