Show notes
Join host Rich Douglas as he welcomes Dr. Laura Gallaher to the Human Capital Lab podcast for an insightful discussion on self-acceptance, psychological safety, and effective organizational culture. Dr. Gallaher shares her journey from being an organizational psychologist at NASA working on culture change post-Columbia disaster to becoming a consultant. Learn how self-acceptance can improve self-awareness, help mitigate self-judgment, and drive high performance in organizations. Don't miss this episode for valuable insights on personal growth and leadership development.00:00 Introduction to the Human Capital Lab Podcast00:26 Meet Dr. Laura Gallaher: A Journey into Organizational Psychology02:19 NASA's Cultural Challenges and the Columbia Accident13:41 The Importance of Psychological Safety18:06 Self-Awareness and Self-Acceptance22:16 Personal Stories of Identity and Growth24:21 The Challenge of Accepting Feedback25:01 Self-Acceptance and Identity26:41 The Essence Exercise27:52 Fluidity in Identity28:24 Self-Acceptance Quiz28:57 Paradox Theory30:24 Impact of Self-Criticism on Leadership32:45 The Joey and Jamal Story34:32 Self-Acceptance in Organizations38:40 The Twilight Zone Analogy41:06 Final Thoughts and ResourcesConnect with the Guest, ;LinkedIn: https://www.linkedin.com/in/laura-gallaher-phd/Website: https://www.gallaheredge.com/Book: The Missing Links: Launching a High-Performing Company CultureConnect with Human Capital Lab; Host: Rich Douglas LinkedIn: https://www.linkedin.com/in/rich-douglas-92b71b52/ Human Captial Lab Links Website: https://humancapitallab.org/ Interested in Being a Guest? https://humancapitallab.org/podcast/Mentioned in this episode:New Show - Talent in the Age of AILooking for what’s next?
While the Human Capital Lab is no longer releasing new episodes, we’re continuing this work through Talent in the Age of AI — now with a clear focus on how AI is transforming talent strategy, leadership, and workforce development.
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talentintheageofai.com
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Apple Podcasts
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talentintheageofai.com
