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    <title><![CDATA[Behavior at Work: Insights and Research]]></title>
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    <description><![CDATA[<p>Welcome to <em>Behavior at Work: Insights and Research</em>, the podcast where we explore the fascinating world of workplace behavior and the knowledge of work psychology based on Professor Chia-Huei Wu's research. Whether you're a manager, HR professional, researcher, or simply curious about what drives behavior in the workplace, this podcast is designed to offer fresh insights and evidence-based practices to help you understand and improve workplace interactions.</p><p>Each episode delves into key topics like employee personality, motivation, workplace wellbeing, leadership styles, and more. From exploring how individuals identify with their organizations to understanding the impact of managerial policies on morale, <em>Behavior at Work</em> breaks down complex concepts into practical takeaways for today’s work environments.</p><p>Tune in to stay ahead of emerging trends in organizational behavior, gain tools to enhance your professional relationships, and unlock strategies for creating a productive, healthy, and engaged workforce. Join us on this journey to decode the science of workplace behavior and drive positive change in your own organization.</p>]]></description>
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      <title><![CDATA[What Drives Organizational Identification?]]></title>
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      <description><![CDATA[<p>Welcome to this AI-generated podcast, where we explore the factors driving organizational identification, drawing on existing research summarized in four key categories: organizational characteristics, managerial policies and practices, interpersonal interactions, and personal attributes. </p><p>This discussion is based on the publication by Weisman, H., Wu, C.-H., Yoshikawa, K., &amp; Lee, H.-J. (2023), titled Antecedents of Organizational Identification: A Review and Agenda for Future Research, published in the Journal of Management, 49(6), 2030–2061. <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1177/01492063221140049">https://doi.org/10.1177/01492063221140049</a>."</p>]]></description>
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