Evidence-Based Management (94-814)

Contemporary managers are heavily swayed in their thinking and decisions by habit, fads, convention and unrealistic levels of confidence (March, 2010; Pfeffer & Sutton, 2006). Managers practicing EBMgt learn how to rethink their approaches to data and knowledge in order to make more effective decisions. EBMgt means making decisions based on best obtainable evidence, that is, scientific findings and unbiased organizational facts. These decisions rely on decision processes that reduce bias and judgment errors and give due consideration to ethical concerns. This mini course promotes your understanding and use of EBMgt principles. It also guides you in developing the skills and knowledge needed to identify, access, and use quality evidence from science and practice in making better decisions.

The instructor is committed to pursuing an evidence-based approach to the course itself. Scientific evidence strongly supports the effectiveness of active student participation in learning activities (Ambrose et al., 2010; Armstrong, 2010; Tough, 1971). Your success in this course will entail actively using evidence-based processes and practices.

Course Topics

  • What It Means to be an Evidence-Based Manager
  • Decision Awareness: Types of Managerial Decisions and Evidence-Based Processes
  • Finding, Interpreting, and Using Scientific Evidence as Managers (Critically Appraised Topics or CATs)
  • Improving and Using Organizational Data: Creating Valid Information and Useful Knowledge from Raw Data
  • Making it Easier to Use Evidence as a Manager: Logic Models, Decision Aids and Communities of Practice
  • Planning Your On-Going Development as an EBMgr

Learning Objectives

  • Gain awareness of what EBMgt is, its four basic facets, and how they apply across a variety of organizational decisions.
  • Develop the skills to identify, access, and use quality evidence particularly from scientific research in making better business and organizational decisions.
  • Learn to use decision aids and logic models to improve use of information and the quality of resulting decisions.
  • Lay the foundation for continued practice of evidence-based management after graduation, and as new technology and scientific findings develop.
  • Units