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Regular version of the site
Master 2022/2023

People Analytics: Prediction of Performance & Prescription of Policy

Area of studies: Management
When: 2 year, 1, 2 module
Mode of studies: offline
Open to: students of one campus
Instructors: Louisa Selivanovskikh
Master’s programme: Management and Analytics for Business
Language: English
ECTS credits: 3
Contact hours: 24

Course Syllabus

Abstract

This practice-oriented course focuses on effective People Analytics as a source of business value creation in the context of Big data. The core objective is to explore how to efficiently integrate data analytical approaches to each stage of the strategic human resource management process, from the acquisition to the retention of qualified workers. Throughout the course, examples for each People Analytics Success stage will be provided to help illustrate the key concepts to effective HRM.
Learning Objectives

Learning Objectives

  • Develop high-impact People Analytics in order to generate business value from the Big Data and little data available to the organization.
  • Identify types of people analytics used in a company.
  • Obtain valuable people analytics to improve the efficiency of workforce planning, hiring, placing and retaining the best employees.
  • Choose relevant data science methods for specific problems in human resource (HR) management.
  • Analyze outcomes of HR practices and identify their effects on both the staff members’ attitudes toward the company and the organizational performance.
  • Explain how data-driven decision-making affects organizational performance and HR practices.
Expected Learning Outcomes

Expected Learning Outcomes

  • Able to develop his/her intellectual and cultural level, build a trajectory of career development
  • Able to identify the data required for the solution of research tasks in management; to gather data from both the field research and desk research as well as from the social and economic sources
  • Able to prepare and manage the consultancy project.
Course Contents

Course Contents

  • Workforce Planning Analytics
  • Analytics for onboarding
  • Employee Engagement Analytics
  • Retention Analytics
  • Employee Wellness, Health, and Safety Analytics.
  • Qualitative comparative analysis
Assessment Elements

Assessment Elements

  • non-blocking Class activities
  • non-blocking Online test
  • non-blocking Presentation: Individual-based project “Examining the role of strategic HRM practices using fsQCA"
  • blocking Report: Individual-based project “Examining the role of talent management practices using fsQCA"
Interim Assessment

Interim Assessment

  • 2022/2023 2nd module
    0.3 * Online test + 0.2 * Presentation: Individual-based project “Examining the role of strategic HRM practices using fsQCA" + 0.2 * Report: Individual-based project “Examining the role of talent management practices using fsQCA" + 0.15 * Class activities
Bibliography

Bibliography

Recommended Core Bibliography

  • 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

  • Edwards, M. R., & Edwards, K. (2019). Predictive HR Analytics : Mastering the HR Metric (Vol. 2nd Edition). New York: Kogan Page. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2037089
  • 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