CMG351 Syllabus - Human Resource Analytics - 2021 Regulation - Open Elective | Anna University
CMG351 Syllabus - Human Resource Analytics - 2021 Regulation - Open Elective | Anna University
CMG351 |
HUMAN RESOURCE ANALYTICS |
L T P C |
---|
3003
OBJECTIVE:
• To develop the ability of the learners to define and implement HR metrics that are aligned with the overall business strategy.
• To know the different types of HR metrics and understand their respective impact and application.
• To understand the impact and use of HR metrics and their connection with HR analytics.
• To understand common workforce issues and resolving them using people analytics.
• To know the different types of HR metrics and understand their respective impact and application.
• To understand the impact and use of HR metrics and their connection with HR analytics.
• To understand common workforce issues and resolving them using people analytics.
UNIT I |
INTRODUCTION TO HR ANALYTICS |
9 |
---|
People Analytics - stages of maturity - Human Capital in the Value Chain : impact on business – HR metrics and KPIs.
UNIT II |
HR ANLYTICS I: RECRUITMENT |
9 |
---|
Recruitment Metrics : Fill-up ratio - Time to hire - Cost per hire - Early turnover - Employee referral hires - Agency hires - Lateral hires - Fulfillment ratio- Quality of hire.
UNIT III |
HR ANALYTICS - TRAINING AND DEVELOPMENT |
9 |
---|
Training & Development Metrics : Percentage of employees trained- Internally and externally trained -Training hours and cost per employee - ROI.
UNIT IV |
HR ANALYTICS EMPLOYEE ENGAGEMENT AND CAREER PROGRESSION |
9 |
---|
Employee Engagement Metrics :Talent Retention index - Voluntary and involuntary turnover- grades, performance, and service tenure - Internal hired index Career Progression Metrics: Promotion index - Rotation index - Career path index.
UNIT V |
HR ANALYTICS IV: WORKFORCE DIVERSITY AND DEVELOPMENT |
9 |
---|
Workforce Diversity and Development Metrics : Employees per manager – Workforce age profiling - Workforce service profiling - Churnover index - Workforce diversity index - Gender mix
TOTAL: 45 PERIODS
OUTCOME:
• The learners will be conversant about HR metrics and ready to apply at work settings.
• The learners will be able to resolve HR issues using people analytics.
• The learners will be able to resolve HR issues using people analytics.
REFERENCES:
1. JacFitzenz , The New HR Analytics, AMACOM , 2010.
2. Edwards M. R., & Edwards K, Predictive HR Analytics: Mastering the HR Metric.London: Kogan Page.2016.
3. Human Resources kit for Dummies – 3 rd edition – Max Messmer, 2003
4. Dipak Kumar Bhattacharyya, HR Analytics ,Understanding Theories and Applications, SAGE Publications India ,2017.
5. Sesil, J. C. , Applying advanced analytics to HR management decisions: Methods fo selection, developing incentives, and improving collaboration. Upper Saddle River,New Jersey: Pearson Education,2014.
6. Pease, G., & Beresford, B, Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments. Wiley ,2014.
7. Phillips, J., & Phillips, P.P, Making Human Capital Analytics Work: Measuring the ROI of Human Capital Processes and OUTCOME. McGraw-Hill,2014.
8. HR Scorecard and Metrices, HBR, 2001.
2. Edwards M. R., & Edwards K, Predictive HR Analytics: Mastering the HR Metric.London: Kogan Page.2016.
3. Human Resources kit for Dummies – 3 rd edition – Max Messmer, 2003
4. Dipak Kumar Bhattacharyya, HR Analytics ,Understanding Theories and Applications, SAGE Publications India ,2017.
5. Sesil, J. C. , Applying advanced analytics to HR management decisions: Methods fo selection, developing incentives, and improving collaboration. Upper Saddle River,New Jersey: Pearson Education,2014.
6. Pease, G., & Beresford, B, Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments. Wiley ,2014.
7. Phillips, J., & Phillips, P.P, Making Human Capital Analytics Work: Measuring the ROI of Human Capital Processes and OUTCOME. McGraw-Hill,2014.
8. HR Scorecard and Metrices, HBR, 2001.
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