Technology Roadmapping for Defence: A Systematic Literature Review and Research Gaps
Linda Malinga (linda.malinga@tuks.co.za),
Petrus Letaba (petrus.letaba@up.ac.za) and
Marthinus W. Pretorius (tinus.pretorius@up.ac.za)
Additional contact information
Linda Malinga: Council for Scientific and Industrial Research (CSIR)
Petrus Letaba: University of Pretoria
Marthinus W. Pretorius: University of Pretoria
A chapter in Human-Centred Technology Management for a Sustainable Future, 2025, pp 209-216 from Springer
Abstract:
Abstract This research explores the existing literature on technology roadmapping (TRM) in the Defence context. A systematic literature review was conducted to identify studies from Scopus, Web of Science, and IEEExplore, and qualitative thematic analysis was used to analyse the relevant studies. Five emerged from the literature: tools development, process and framework customisation, process customisation, framework customisation, and integration. In addition, the study also highlight the need for skill training, collaboration, and inclusive participation in the Defence roadmapping process. The research contributes to the literature reviews on technology roadmapping by identifying studies tailored to the nuances of the Defence context.
Keywords: Technology roadmapping; Defence; Systematic literature review; Research gaps (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-72494-7_21
Ordering information: This item can be ordered from
http://www.springer.com/9783031724947
DOI: 10.1007/978-3-031-72494-7_21
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).