Students should demonstrate an exhaustive search of materials that are included in the popular media as well as academic community.
The course literature review on topics related to human resource metrics and predictive analytics to identify relevant academic journals and other sources appropriate to those topics is due this week.
Papers will be graded on both comprehensiveness and currency. Students should demonstrate an exhaustive search of materials that are included in the popular media as well as academic community. Reliance on general search media are acceptable to begin the process, but ultimately, used materials (included in the formal bibliography) must come from academic journals, texts, and other materials found in the DeVry Online Library as well as other academic libraries. Web pages, blogs, and social media sites are not acceptable as formally (cited) references. Below is a preliminary list of authors who have contributed to this field over the last several years. The list is not exhaustive, but serves as a starting point for your review.
- Jac Fitz-Enz
- John Boudreau
- Peter Ramsted
- Mark Huselid
- Brian Becker
- David Ulrich
- Wayne Brockbank
- Jessie Harriot
- Jeff Quinn
- Ken Scarlett
- Jeffrey Burke
- Wayne Cascio
Additionally, most of the best known academic and popular journals will provide acceptable content. Primary among (again, not exhaustive) them are some of the following journals and publications.
- People & Strategy (formally human resource planning)
- Harvard Business Review
- Human Resource Management
- Academy of Management Journals (various titles included)
- Journal of Labor Economics
- Human Resource Management Review
- Personnel Psychology
- International Journal of Human Resource Management
- Journal of Management
- Sloan Management Review
- California Management Review
- Administrative Sciences Quarterly
Students will also find the work of Kaplan and Norton on the Balanced Scorecard to be a great starting point, as well as Becker and Huselid’s treatment of the above as specifically related to HR and workforce measures.