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The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management
Dissertation (MPhil)--University of Pretoria, 2023
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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University of Pretoria
2024
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| _version_ | 1867613491110608896 |
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| access_status_str | Open Access |
| author | Mathebula, Harriet |
| author2 | Pearson, Hayley |
| author_browse | Mathebula, Harriet Pearson, Hayley |
| author_facet | Pearson, Hayley Mathebula, Harriet |
| author_sort | Mathebula, Harriet |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. |
| description | Dissertation (MPhil)--University of Pretoria, 2023 |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/96140 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:59.347Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/96140 The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management Mathebula, Harriet Pearson, Hayley Data-driven decision-making (DDDM) HR analytics maturity Enablers HR capability Qualitative research Dissertation (MPhil)--University of Pretoria, 2023 The growing interest in big data and data-driven decision-making (DDDM) by business has led to a bit of pressure on HR professionals to start engaging with it and make data-driven decisions that add value to their organisations. This would also help HR practitioners to play the strategic business partnering role that they have always aimed to execute. The literature reviewed revealed that although there has been an increase in interest and the adoption of HR analytics in organisations, the maturity or growth level has remained stagnant at level 1 (descriptive analytics) of the HR analytics maturity model. In addition, there is a research gap in guiding practitioners on the implementation of HR analytics and DDDM. The aim of this study was to explore and gain insights on how HR practitioners were using HR analytics to make data-driven decisions in their organisations. This will enable those HR practitioners lagging behind, and those that are stuck at level 1 of the maturity model to understand what they need to do to successfully adopt and utilise HR analytics to enable DDDM in their organisations. The study was conducted through exploratory qualitative research design. Data was gathered through conducting virtual semi-structured interviews with fifteen HR practitioners from different South African organisations and industries. The findings highlighted those factors, such as good quality data, HR capability, and technological analytical tools or systems needed to be in place for HR practitioners to effectively use HR analytics to enable DDDM. It also gave an indication of the type data-driven decisions HR practitioners made, as well as the barriers to effective implementation of HR analytics and DDDM. pagibs2024 2024-05-22T07:07:38Z 2024-05-22T07:07:38Z 2024-04-17 2024-04-17 Mini Dissertation * A2024 http://hdl.handle.net/2263/96140 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Data-driven decision-making (DDDM) HR analytics maturity Enablers HR capability Qualitative research Mathebula, Harriet The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management |
| title | The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management |
| title_full | The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management |
| title_fullStr | The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management |
| title_full_unstemmed | The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management |
| title_short | The application of HR analytics to enable data-driven decision-making (DDDM) in Human Resource Management |
| title_sort | application of hr analytics to enable data driven decision making dddm in human resource management |
| topic | Data-driven decision-making (DDDM) HR analytics maturity Enablers HR capability Qualitative research |
| url | http://hdl.handle.net/2263/96140 |
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