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Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view
Mini Dissertation (MBA)--University of Pretoria, 2020.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2021
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| _version_ | 1867613642192584704 |
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| access_status_str | Open Access |
| author2 | Balkissoon, Rishal |
| author_browse | Balkissoon, Rishal |
| author_facet | Balkissoon, Rishal |
| collection | Thesis |
| dc_rights_str_mv | © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Mini Dissertation (MBA)--University of Pretoria, 2020. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/79594 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:23.523Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| 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:2263/79594 Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view Balkissoon, Rishal ichelp@gibs.co.za Kullenda, Kuben UCTD Mini Dissertation (MBA)--University of Pretoria, 2020. Maintenance management is seen as a “necessary evil”, rather than a profit contributing resource that could intensify competitive advantage for the organisation. With the world facing the fourth industrial revolution, a radical increase in the reshaping of companies and competition within asset intensive industries is being observed. Organisations in these industries are being forced to rethink traditional ways of working and gearing the workforce with higher and more diversified competency profiles. This suggests that the traditional way of executing maintenance management, being predominantly reactive with the lack of data driven decision making, is certainly inadequate for a sustainable competitive advantage. An improved way of managing maintenance should be through developing and applying dynamic capabilities within the maintenance domain of the organisation. This research draws on theories of dynamic capabilities (DC), decision making performance (DMP), business process performance (BPP) and firm performance (Fper), in the context of data driven decision making in organisations heavily reliant on good maintenance management practices. The aim of this study was to explore and understand the relationships between these constructs, for insight into further improvement and development of a competitive advantage. The findings presented a statistically significant relationship between DC and Fper, DC and BPP, DC and DMP, but most importantly, a multiple full indirect mediation role was observed, which provides insights for both business and for further studies in academia. pt2021 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2021-04-22T10:33:13Z 2021-04-22T10:33:13Z 2021/04/14 2020 Mini Dissertation Kullenda, K 2020, Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view, MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/79594> http://hdl.handle.net/2263/79594 en © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view |
| title | Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view |
| title_full | Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view |
| title_fullStr | Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view |
| title_full_unstemmed | Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view |
| title_short | Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view |
| title_sort | enabling firm performance through data driven decision making in maintenance management a dynamic capabilities view |
| topic | UCTD |
| url | http://hdl.handle.net/2263/79594 |