Abstract
Health care organizations typically have a hierarchical structure, with physicians dominant and nurses subordinate. The challenge to open and honest communication between doctors and nurses is real, and communication errors contribute significantly to undesirable patient outcomes. Nurse executives (NEs) have a responsibility to help lead transformation of health care organizations to support nurses to speak up and communicate all critical information.
NEs are challenged to improve safety and quality, decrease costs and increase access to care. Combining health care expertise with business ability can support these goals. Rooke and Torbert found correlations between successful business leaders and postconventional action-logics, or world-views. Action-logics can be developed to make leaders increasingly effective.
Sigma Membership
Zeta Delta at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Mixed/Multi Method Research
Keywords:
Developmental Psychology, Leadership Development, Behavorial Influences
Advisor
Susan Nero
Second Advisor
Kay Davis
Third Advisor
Kent Rhodes
Degree
Doctoral-Other
Degree Grantor
Pepperdine University
Degree Year
2015
Recommended Citation
Pierce, Bonnie R., "Action-logics of veterans health administration magnet nurse executives and their practice of supporting nurses to speak up" (2023). Dissertations. 179.
https://www.sigmarepository.org/dissertations/179
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2023-03-02
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3741600; ProQuest document ID: 1752116799. The author still retains copyright.