Staffing Analytics Overview

2023/2024

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Management

Course type:

Compulsory course

When:

2 year, 1 module

Course Syllabus

Abstract

The course is a part of the people analytics’ track. The main point of this discipline is to understand the basics of the staffing process including creating HR metrics that are necessary for decision-making approaches. It also provides a strong framework to put into practice HRM statistical tools and methods. The course includes online learning over the Coursera platform in which three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. In class students will practice in using metrics and analytics to improve efficiency at hiring, placing and retaining the great people

Learning Objectives

• Identify what to do for being efficient with HR metrics and analytics
• Use analytics to improve efficiency at hiring, placing and retaining the best people
• Manage techniques to hire, place and retain the right employees
• Recognize the relationship between HRM and organizational performance, business strategy as well as organizational behavior
• Analyze the relationship between HR practices and their outcomes for the individual and the organization

Expected Learning Outcomes

• Demonstrate the ability to catch new knowledge and skills in the fields beyond his/her majoring
• Apply received knowledge and understanding of data and tools to real business situations
• Create and defend a customized consulting project based on data and analytics given
• Create and defend a customized suggestions based on data and analytics given
• Demonstrate the ability to collect, process, and analyze data necessary for solving tasks
• Demonstrate the ability to make managerial decisions and evaluate their consequences
• Study and apply people science methods adjusting to working environment

Course Contents

• Introduction to Staffing analytics
• Organizational Context
• Turnover (attrition)
• Dashboards and visual communication in HR
• Employee experience
• Project management in HR

Assessment Elements

• Individual assignment (interactive HR dashboard)
  No grades will be given if the file is not uploaded to SmartLMS. If the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• HR-processes decomposition & metrics
  If the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Engagement Survey results and action plan creation
  If the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Social graph analysis and recommendations
  If the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Project management styles
  If the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Exam
  The exam consists of 40 test questions and covers all topics including the Blended course details. Total time: 60 min. No negative marks for wrong answers.

Interim Assessment

• 2023/2024 1st module
  0.1 * Engagement Survey results and action plan creation + 0.3 * Exam + 0.1 * HR-processes decomposition & metrics + 0.3 * Individual assignment (interactive HR dashboard) + 0.1 * Project management styles + 0.1 * Social graph analysis and recommendations

Bibliography

Recommended Core Bibliography

• Fermin Diez, Mark Bussin, & Venessa Lee. (2019). Fundamentals of HR Analytics : A Manual on Becoming HR Analytical. Bingley: Emerald Publishing Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2204225
• Fitz-enz, J., & Mattox, J. (2014). Predictive Analytics for Human Resources. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=812792
• Isson, J. P., & Harriott, J. (2016). People Analytics in the Era of Big Data : Changing the Way You Attract, Acquire, Develop, and Retain Talent (Vol. 1). Hoboken: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1226538

Recommended Additional Bibliography

• Discovering statistics using SPSS for Windows : advanced techniques for the beginner, Field, A., 2003
• Pease, G. (2015). Optimize Your Greatest Asset —— Your People : How to Apply Analytics to Big Data to Improve Your Human Capital Investments. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1046506

Authors

• BUDKO VIKTORIYA ALEKSANDROVNA
• KEZHUN Liudmila ANATOLEVNA
• VOINOV MAKSIM NIKOLAEVICH