Reference no: EM133673156

Assessment - HR Policy Recommendation Project

ASSESSMENT DESCRIPTION

The HR Policy Recommendation Project is an extension of Assignment 2, and will be undertaken individually. The Project needs to propose possible correlations between each of the business outcome metrics (dependent variables) and other metrics (independent variables) you have chosen in Assignment 2, test these relationships using predictive analytics techniques (regression), and provide recommendations on how the organisation should improve staffing practices to enhance organisational performance (when you run regression with profitability being the dependent variable, you also need to include other business outcome metrics such as productivity as additional independent variables). In writing up the Project, you are advised to refer to what are discussed in the seminar on "Predictive Analytics in Action" and Chapter 6 of the textbook, and apply predictive analytics methods (regression) to justify your policy recommendations.

The Project should be 2,000 words in length (plus or minus 10%), excluding cover page, reference list and appendix (you must include the original regression output in the appendix). If you need to use Charts/Tables/Dashboard already presented in Assignment 2, please put them in the appendix. You need to submit the Project in Microsoft Word format via LMS. An assignment cover sheet must be attached to the assignment.

The Project should include the following:

a. Introduction
b. Describe the key metrics and propose possible causal relationships between them.
c. Analyse relationship between key HR metrics using predictive analytics methods (you must specify the regression models you use, and explain the key regression output. The original regression output must be attached as an appendix).
d. Provide recommendations on HR policy to enhance organisational performance.
e. Conclusion

GUIDELINES for SUCCESS
To do well in this assignment, you need to work independently on the basis of the team-based Assignment 2, apply regression method to analyse possible correlations between the chosen metrics, and make HR policy recommendations based on the regression results and relevant academic sources.

You will be assessed on these key criteria:

Quality of your policy recommendations
o Logic of policy recommendations

Justification for your policy recommendations.
o Evidence from HR data and regression results to support policy recommendations

Application of appropriate predictive analytics methods.
o Basic predictive analytics skills using regression in Excel.

Writing skills and editorial care.
o Clear structure. A minimum of 5 academic references cited correctly using APA style.
o Correct grammar and spelling.