HR Metrics Literature Review Overview
To complete a comprehensive and current search of relevant articles, books, and other sources related to the subject of human resources/human capital metrics and predictive analytics.
As one of the three cornerstone concepts of this course, the directional shift in human resource management to the increased reliance on quantitative measures of performance versus intuitive decisions based on aspiration, human capital metrics (also known as predictive analytics) is a subject for increased interest going forward. This Literature Review asks students to review the literature in this area, both traditional and current. Materials may include classics that date into the early years of the 21st century, but should also include sources dated in the last 5–10 years. The page length of the Literature Review should be between 4–6 pages (double-spaced, normal font size, and margins) and meet APA style.
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.
|Documentation and Formatting||25||14%||Properly referenced according to APA Guidelines|
|Organization and Cohesiveness||20||11%||Written in a cohesive manner that flows from stated assumptions|
|Editing||20||11%||Spell checked for meaning as well as accuracy|
|Content||120||65%||Paper traces roots of movement from the use of administrative data to financially relevant and predictive measures that allow HR strategic decision making that impacts bottom line results and adds to human capital point of view that supports Line/HR partnering. Paper should address both historical and current perspectives on Metrics|
|Total||185||100%||A quality paper will meet or exceed all of the above requirements.|
We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.Read more
The Product ordered is guaranteed to be original. Orders are checked by the most advanced anti-plagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.Read more
The Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.Read more
The Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.Read more
By placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.Read more