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A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective

Thesis (PhD)--Stellenbosch University, 2026.

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Main Author: Etuket, Maureen Dimitria
Other Authors: Grobbelaar, Sara
Format: Thesis
Language:English
Published: Stellenbosch : Stellenbosch University 2026
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access_status_str Open Access
author Etuket, Maureen Dimitria
author2 Grobbelaar, Sara
author_browse Etuket, Maureen Dimitria
Grobbelaar, Sara
author_facet Grobbelaar, Sara
Etuket, Maureen Dimitria
author_sort Etuket, Maureen Dimitria
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (PhD)--Stellenbosch University, 2026.
format Thesis
id oai:scholar.sun.ac.za:10019.1/135981
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:47:10.728Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
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source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/135981 A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective Etuket, Maureen Dimitria Grobbelaar, Sara Salie, Faatiema Sivarasu, Sudesh Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Thesis (PhD)--Stellenbosch University, 2026. Etuket, M. D. 2026. A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective. Unpublished doctoral dissertation. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/f6b05d7d-9263-41ce-829d-7c0cdee5e14a Innovation within the South African medical device sector is impeded by systemic barriers that prevent a significant proportion of locally developed technologies from reaching the market. This failure to translate promising innovations into commercial products represents a substantial loss of potential economic and social value. This research addresses the critical need for a structured, evidence-based approach to diagnose and navigate the complex challenges inherent in this specific innovation landscape. The study aims to conduct comprehensive empirical research to understand and analyse the systemic barriers that impede medical device innovation within the South African innovation system. Through rigorous investigation of innovation system functions, stakeholder dynamics, and bottleneck patterns, this research seeks to provide evidence-based insights into why local medical device innovations fail to reach the market or are frustrated along the way and how these challenges can be addressed. The study employs a mixed-methods design under a Design Science Research (DSR) paradigm. A comprehensive literature review establishes theoretical foundations for innovation systems analysis in medical devices. Empirically, the research integrates (i) a structured, multi-stakeholder survey (n = 90) assessing performance across Innovation System functions (F1–F7) for enterprise, academic, and government actors, and (ii) Event History Analysis of three frustrated innovation case studies spanning 1976–2025, followed by cross-case synthesis. This triangulation generated seven recurrent failure archetypes that explain typical stall points and feedback loops. The thesis makes four contributions. Empirically, it provides a comprehensive, multi-stakeholder functional assessment of South Africa’s medical device innovation system triangulated with longitudinal case narratives. Theoretically, it extends innovation systems scholarship with empirically derived failure archetypes and a contextualised, multi-valley perspective for LMIC settings. Methodologically, it operationalises Event History Analysis for systematic function diagnosis. Practically, it translates evidence into actionable recommendations and a Decision Support Framework (DSF) for innovators, policymakers, and intermediaries. Overall, the research advances an evidence-based, practically usable pathway for diagnosing and remedying systemic weaknesses in South Africa’s medical device innovation system, offering tools and insights with transferability to other LMIC contexts. Doctoral 2026-04-17T06:41:58Z 2026-04-17T06:41:58Z 2026-03 Thesis https://scholar.sun.ac.za/handle/10019.1/135981 en Stellenbosch University 351 pages : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Etuket, Maureen Dimitria
A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective
title A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective
title_full A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective
title_fullStr A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective
title_full_unstemmed A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective
title_short A Decision-Support Framework for Guiding Local Medical Device Innovation: An Innovation Systems perspective
title_sort decision support framework for guiding local medical device innovation an innovation systems perspective
url https://scholar.sun.ac.za/handle/10019.1/135981
work_keys_str_mv AT etuketmaureendimitria adecisionsupportframeworkforguidinglocalmedicaldeviceinnovationaninnovationsystemsperspective
AT etuketmaureendimitria decisionsupportframeworkforguidinglocalmedicaldeviceinnovationaninnovationsystemsperspective