Abstract

Technology roadmapping has become an important foresight tool for science, technology, and innovation (STI) policy and technology strategy development. There are, however, challenges in translating evidence from foresight into the strategies of STI agencies and the planning of research & technology development (RTD) organizations. While the foresight evaluation literature identifies methodological issues related to evidence granularity, scope, and stakeholder confidence, there is limited guidance on how to ensure roadmapping outputs are strategically relevant, appropriately detailed, and credible. This paper highlights the potential of using structured visual roadmapping frameworks to anticipate potential strategic foresight evidence failures and using the adaptive and iterative nature of roadmapping processes to address them. In this paper, we distinguish between: the roadmapping framework ‘canvas’; the foresight evidence captured on the canvas; the process of generating the evidence; and any final strategic plan developed using that evidence (with goals, milestones, actions, etc). We investigate efforts to use the roadmapping canvas as a research tool and diagnostic to explore emerging technology trajectories and innovation ‘pathways’. We demonstrate that key patterns of evidence distribution on the roadmapping canvas have the potential to reveal where further evidence may need to be gathered, or where further triangulation of stakeholder perspectives may be required. We argue that by adaptively addressing these patterns at key stages within the roadmapping process (and appropriately re-scoping, re-prioritizing, and re-focusing foresight effort and resources), the granularity, coverage, and consensus of the roadmapping evidence can be greatly enhanced. We conclude the paper by summarizing a set of novel principles for adaptive agile roadmapping, reflecting on the implications for foresight more generally, and outlining a future research agenda to test and refine this approach to agile foresight.

Highlights

  • Technology roadmapping has become an important foresight tool for science, technology, and innovation (STI) policy and government R&D strategy

  • We explore the opportunities to take advantage of the distinctive properties of technology roadmapping to navigate the complexity of innovation system- or industrylevel foresight and to enhance the relevance, granularity, and credibility of strategic foresight evidence

  • The graphical technology roadmapping canvas is designed to reveal patterns in evidence related to the complex innovation system dynamics of emerging technologies

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Summary

Foresight and Roadmapping Methodology

Technology roadmapping has become an important foresight tool for science, technology, and innovation (STI) policy and government R&D strategy. We explore the application of the roadmapping frameworks as a research tool, in particular its use in structuring analyses of emerging technology innovation dynamics and sociotechnical change In this context, we explore how certain features of the roadmapping canvas may offer the potential for its application as a diagnostic tool to examine the sufficiency, efficacy, and credibility of foresight evidence. Roadmapping’s effectiveness at systems analyses is further enhanced by its ability to operate at a wide range of system levels (from company division level to firm-level to global industry-level) and address a range of innovation system phenomena (from market trends to emerging scientific R&D domains) [Kappel, 2001; Phaal, Muller, 2009] This scalability and adaptability offers the potential to readily respond to the need for evidence in greater sub-system detail

The Roadmapping Framework
Item Framework Content
The Visual Nature of Roadmapping
The Integrating Nature of Roadmapping
Stage Clarifying roadmap aims
The Scalable Nature of Roadmapping
The Iterative Nature of Roadmapping
Foresight Evidence Patterns and Agile Roadmapping
Synthesis to create domain roadmap
Stakeholders Stakeholders Y Stakeholders Z
Evidence Patterns and Roadmapping Process Adaptation
Convergence of strategy evidence
Strategic evidence requirements of users of the foresight outputs
Time Time
Implications for Theory and Research Methods
Implications for Practice and Future Research
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