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Class Business Information Systems and HRAnalytics

  • Presentation

    Presentation

    The curricular unit focuses on the description and critical analysis of Information Systems and HR Analytics, with a particular focus on their importance for human resources management. Focus is placed on strategic human resources management practices in various contexts, and on how technology and information can contribute to the improvement of processes, relationships and results.
  • Code

    Code

    ULHT6626-23321
  • Syllabus

    Syllabus

    1. Fundamentals of HR Analytics: What is HR Analytics / People Analytics; Evolution of data use in HR; HR Metrics vs. HR Analytics; Descriptive, Diagnostic, Predictive, and Prescriptive Analytics; Strategic value of HR Analytics for HR. 2. HR Metrics, KPIs, and HR Problems: Main HR metrics; Turnover, retention, absenteeism, recruitment, engagement, performance, etc.; From metric to KPI and the managerial issue; How to transform an HR problem into an issue that can be analyzed through data. 3. HR Analytics, strategy, and decision-making: Evidence-based HR; Use of data in decision-making; Limitations of evidence and interpretation of results; Relationship between analytics, HR strategy, and organizational results; Ethical issues associated with the use of employee data. 4. HR Analytics application cases: Presentation of some HR problems/cases. Challenge-Based Learning - Developing an IS proposal focused on Human Resources Management
  • Objectives

    Objectives

    This course aims to provide students with fundamental knowledge about HR Analytics, enabling them to understand the role of data and indicators in Human Resources Management and in supporting decision-making. It also seeks to develop skills for the analysis and interpretation of HR data, the construction of metrics, KPIs, and dashboards, as well as competencies to link operational information with strategic decisions. Students should also be able to critically analyze evidence, considering its limitations and the ethical issues associated with the use of employee data.
  • Teaching methodologies

    Teaching methodologies

    Expository methodology alternating with practical work in the scope of information presentation and data analysis. Active methodology - Challenge-Based Learning (CBL) - promoting active learning and the development of critical skills for problem-solving.   Assessment: Test - 50% CBL - 50%  
  • References

    References

    Pimenta de Brito, A., & Palma-Moreira, A. (2026). Human resource analytics and data-driven decision-making: Case of the commercial airline sector in Portugal. Springer. Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the digital firm. Pearson. Rainer Jr, R. K., & Cegielski, C. (2016). Introdução a sistemas de informação: apoiando e transformando negócios na era da mobilidade. Elsevier Brasil. López, Y. (2014). Sistemas de Informação para a gestão. Escolar Editora.  
  • Assessment

    Assessment

    Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.

    Exemplo:

    Descrição

    Data limite

    Ponderação

    Teste de avaliação

    a definir

    40%

    CBL

    a definir

    60%

    (...)

     

     

     

    ..

     

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