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Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans
Du Plessis, M. J. 2025. Developing an Economic Complexity-based Digital Decision Support Tool for South African Industrial Policy Masterplans. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/ecc81372-22f8-4e94-9b27-5b97306af4bf
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867614115838558208 |
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| access_status_str | Open Access |
| author | Du Plessis, Michael Jacobus |
| author2 | Bam, Wouter |
| author_browse | Bam, Wouter Du Plessis, Michael Jacobus |
| author_facet | Bam, Wouter Du Plessis, Michael Jacobus |
| author_sort | Du Plessis, Michael Jacobus |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Du Plessis, M. J. 2025. Developing an Economic Complexity-based Digital Decision Support Tool for South African Industrial Policy Masterplans. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/ecc81372-22f8-4e94-9b27-5b97306af4bf |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/132166 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:46:55.034Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/132166 Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans Du Plessis, Michael Jacobus Bam, Wouter Hummel, Vera Zincume, Philani Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Industrial policy -- South Africa Decision support systems -- South Africa Furniture industry and trade -- Automation Dashboards (Management information systems) UCTD Du Plessis, M. J. 2025. Developing an Economic Complexity-based Digital Decision Support Tool for South African Industrial Policy Masterplans. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/ecc81372-22f8-4e94-9b27-5b97306af4bf Thesis (MEng)--Stellenbosch University, 2025. ENGLISH ABSTRACT: South Africa’s long-term economic and socio-economic trajectory, as defined and guided by the National Development Plan 2030 (NDP), is off-track. The government recognises the need to ameliorate unemployment, inequality, and poverty, and the resulting Reimagined Industrial Strategy (RIS) exemplifies the pivotal role of economic growth and development, materialised through the Industrial Policy Masterplans. The National Planning Commission and Department of Trade, Industry and Competition (DTIC) also recognised the need for improved monitoring and implementation to match the reimagined strategies. The DTIC urges collaboration and masterplan performance measurement using dashboard-based progress reports to monitor and inform industry decision-making. The study developed an open-source, web-based dashboard for the South African Furniture Initiative to augment masterplan performance measurement, affording industry stakeholders easy access to Furniture Industry Masterplan key performance indicators (KPIs). The study also aimed to incorporate decision support using economic complexity (EC), a field concerned with the dynamics of economies, industries, and the activities they comprise. EC is increasingly used to develop industrial policy strategies and study economic, socio-economic, and environmental indicators. Economic complexity-based decision support indicators were developed for each KPI, producing a prototype digital decision support tool for the South African Furniture Industry Masterplan. Performance measurement and dashboard creation approaches were adapted to encapsulate the masterplan tool methodology used during development. The methodology facilitates application to other masterplans in conjunction with the masterplan policy document, which informs a top-down development approach. Finally, the open-source, masterplan-agnostic nature of the tool and development process enables adaptation by and for other stakeholders, echoing the DTIC’s focus on engagement, monitoring, and problem solving aligned with the masterplan pillars and vision, guiding industries towards the goals of the NDP. AFRIKAANSE OPSOMMING: Suid-Afrika se langtermyn ekonomiese en sosio-ekonomiese trajek, soos gedefinieer en gelei deur die Nasionale Ontwikkelingsplan 2030 (NOP), is van koers af. Die regering erken die behoefte om werkloosheid, ongelykheid en armoede te verbeter, en die gevolglike herontwerpte nywerheidstrategie illustreer die deurslaggewende rol van ekonomiese groei en ontwikkeling, gematerialiseer deur die Nywerheidsbeleid Meesterplanne. Die Nasionale Beplanningskommissie en Departement van Handel, Nywerheid en Mededinging (DHNM) het ook die behoefte aan verbeterde monitering en implementering erken om by die herverbeelde strategie¨e te pas. Die DHNM dring aan op samewerking en meesterplan prestasiemeting deur gebruik te maak van kontroleskerm-gebaseerde vorderingsverslae om industriebesluitneming te monitor en in te lig. Die studie het ’n oopbron, webgebaseerde kontroleskerm vir die Suid-Afrikaanse Meubelinisiatief ontwikkel om meesterplan-prestasiemeting aan te vul, wat belanghebbendes in die bedryf maklike toegang tot Meubelbedryf-meesterplansleutelprestasie-aanwysers bied. Die studie het ook ten doel gehad om besluitondersteuning te inkorporeer deur gebruik te maak van ekonomiese kompleksiteit, ’n veld wat gemoeid is met die dinamika van ekonomie¨e, nywerhede en die aktiwiteite wat hulle behels. Ekonomiese kompleksiteit word toenemend gebruik om nywerheidsbeleidstrategie¨e te ontwikkel en ekonomiese, sosio-ekonomiese en omgewingsaanwysers te bestudeer. Ekonomiese kompleksiteit-gebaseerde besluitondersteuningsaanwysers is vir elke sleutelprestasie-aanwyser ontwikkel, wat ’n prototipe digitale besluitsteuninstrument vir die Suid-Afrikaanse Meubelbedryf Meesterplan produseer. Prestasiemeting en kontroleskermskeppingsbenaderings is aangepas om die meesterplan metodologie wat tydens ontwikkeling gebruik is, in te sluit. Die metodologie vergemaklik toepassing op ander meesterplanne in samewerking met die meesterplanbeleidsdokument, wat ’n bo-na onder ontwikkelingsbenadering inlig. Laastens maak die oopbron, meesterplan-agnostiese aard van die instrument en ontwikkelingsproses aanpassing deur en vir ander belanghebbendes moontlik, wat die DHNM se fokus op betrokkenheid, monitering en probleemoplossing in ooreenstemming met die meesterplan-pilare en visie, wat nywerhede na die doelwitte van die NOP lei. Masters 2025-05-28T10:35:15Z 2025-05-28T10:35:15Z 2025-03 Thesis https://scholar.sun.ac.za/handle/10019.1/132166 en Stellenbosch University xvi, 128 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Industrial policy -- South Africa Decision support systems -- South Africa Furniture industry and trade -- Automation Dashboards (Management information systems) UCTD Du Plessis, Michael Jacobus Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans |
| title | Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans |
| title_full | Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans |
| title_fullStr | Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans |
| title_full_unstemmed | Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans |
| title_short | Developing an economic complexity-based digital decision support tool for South African industrial policy masterplans |
| title_sort | developing an economic complexity based digital decision support tool for south african industrial policy masterplans |
| topic | Industrial policy -- South Africa Decision support systems -- South Africa Furniture industry and trade -- Automation Dashboards (Management information systems) UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/132166 |
| work_keys_str_mv | AT duplessismichaeljacobus developinganeconomiccomplexitybaseddigitaldecisionsupporttoolforsouthafricanindustrialpolicymasterplans |