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Full Description
This book explores international human resource management (IHRM) practices in the contexts of high uncertainties. It encompasses situations of financial crisis, political and civil uncertainty, environmental collapse and recession.
Research on unstable and unpredictable contexts on business and HRM remain relatively scarce and scattered across disciplines. This volume brings together recent thinking from a range of different perspectives and methodologies. MNEs are often distinguished by the supposedly superior ability to implement highly tactical, more robust talent management practices, including work-based, HRM-led and international systems, in line with the rest of their worldwide operations; however, they often fall short. The chapters in this book explore the how, why, and when. At a theoretical level, this collection brings together developments and extensions of a range of salient theories. They explore common methodological challenges and ways forward for future researchers on HRM in high contextual uncertainty.
The chapters in this book were originally published as a special issue of The International Journal of Human Resource Management.
Contents
Introduction Human resource management in the context of high uncertainties 1. Context-specific understandings of uncertainty: a focus on people management practices in Mongolia 2. Breaking away or holding on to the past? Exploring HRM systems of export-oriented SMEs in a highly uncertain context: insights from a transition economy in the periphery 3. Variations and differences in the application of HR policies and practices by US hotel multinational firm's subsidiaries across coordinated and transitional periphery economies: a case approach 4. Context, governance, associational trust and HRM: diversity and commonalities 5. Human resource capabilities in uncertain environments 6. Idiosyncratic deals in less competitive labor markets: testing career i-deals in the Greek context of high uncertainties Afterword Researching IHRM in an Uncertain World: Methodological Challenges and Solutions.
