Photo of Wladislaw Rivkin
20142020

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Personal profile

Biography

Dr Wladislaw Rivkin is a Senior Lecturer in the Work and Organisational Psychology Department at Aston Business School. His research focuses on the interplay of stressors, leadership and other resources in predicting employees’ health well-being and performance in organisations, which has been published in high impact academic journals. Wladislaw works as a practitioner with businesses and organisations in these areas, which involves training and coaching programs for employees and leaders.

Research Interests

  • Self-control related stressors
  • Employee health and well-being
  • Resources protecting employees from the adverse effects of stressors
  • Leadership and employee health
  • Multi level analysis
  • Diary studies

Qualifications

  • PhD, Psychology, Technical University Dortmund, Dortmund, Germany 
  • M. Sc., Psychology, University of Konstanz, Konstanz, Germany 
  • B. Sc., Work and Organisational Psychology, Ruhr University Bochum, Bochum, Germany 

Employment

  • Senior Lecturer, Aston Business School, Birmingham, UK (August 2017 - Present) 
  • Post Doc, Leibniz-Research Center for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany (June 2016 – June 2017) 
  • Research Associate, Leibniz-Research Center for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany (October 2012 – May 2016) 
  • Intern, DB Netz AG, Frankfurt, Germany (September 2011 – March 2012) 
  • Intern, Vneshtorgbank, Kiev, Ukraine, (August 2010 – April 2011) 

Membership of Professional Bodies

  • Member, Academy of Management. 
  • Member, European Association of Work and Organisational Psychology. 
  • Member, German Society of Psychology 

Contact Details

Phone:  +44 (0) 0121 204 3449
Email: w.rivkin@aston.ac.uk
Room:  SW8017

Keywords

  • HD28 Management. Industrial Management
  • Human Resource Management
  • Organisational Psychology
  • Leadership
  • Health Psychology
  • HA Statistics
  • Multi level analysis
  • Structure equation modelling

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