case study

HR3140 FINAL

CASE STUDY SEMICON INDIA Assignment: The assignment is to write a recommendations to Semicon HR based on your analysis of qualitative and quantitative data. It should not be less than 1000 words and not more than 2000 words (without appendices). Your recommendation should focus on summarizing key points and refer to details in the appendices. Provide context by connecting the facts and data to your insights. Make your recommendation with confidence based on your analysis.

Your analysis should include the following steps:

1. Identification of the central issue and problem statement for this case

2. From the data in the case which of the following hypotheses can be accepted and which can be rejected.

• The attrition rate is high among employees whose pay is below the company’s midpoint or industry average.

• Turnovers are due to involuntary resignations • Attractive overseas opportunities are causing a high attrition rate • Lack of promotion opportunities are causing high attrition. • Unimpressive job profile and thereby dissatisfaction with the job is causing attrition • Turnover rate is high among employees with shorter length of service. • Employee rated as poor performers quit, leading to high attrition • Relocation of employees is causing high turnover • Offerings from the competition are causing high attrition rates.

3. Categorize the causes contributing to attrition

• External: these are related to the overall labour market and economy and not within control of the organization.

• Internal: these are related Semicon and are within the control of Semicon • Employee specific: these are related to the individual, such as gender, personal reasons

for leaving, Length of Service. These are not within the control of Semicon but are helpful to understand the profile of those leaving.

4. Communicate your insights and observations from the data given that test the hypothesis.

• Note that it is important to know what different variables contribute to attrition and which ones do not. Identifying that there is no strong relationship between variables is just as helpful as identifying that there is a relationship.

5. Finally, what recommendations would you make to Semicon HR based on your observations?