Scenario-driven roadmapping for technology foresight


This paper presents a novel method for using scenarios for technology foresight. Technology foresight is a well-established discipline, practised with popular foresight methods such as roadmapping and scenario planning. Applying each foresight method reveals limitations in practice, some of which can be addressed by combining methods. Following calls for combining foresight methods, and past attempts to integrate scenario planning and technology roadmapping, we propose a novel method for their combination. The resulting method — ‘scenario-driven roadmapping’ differs in: i) using scenario planning first to identify plausible images of the general environment and then using the scenarios for technology roadmapping; and ii) taking advantage of ‘flex points’ – critical developments which would signal transitions along particular pathways – to create a ‘radar’ to support effective monitoring of the environment over time. This new combined method takes advantage of the strengths of both methods, while addressing their limitations. A case study vignette centred on the work of a special interest group for Radio Frequency IDentification (RFID) technology adoption in the English National Health Service is presented to illustrate and reflect upon the use in practice of the ‘scenario-driven roadmapping’ method. Participants were able to develop a detailed technology roadmap with clear ‘flex points’ helping to connect present circumstances with pathways towards future scenarios. We report on how participants engaged with the scenario-driven method and outcomes achieved were recorded.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Business and Social Sciences > Aston Business School > Marketing & Strategy
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Sustainable environment research group
College of Engineering & Physical Sciences > Aston Logistics and Systems Institute
Additional Information: © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( Funding: EPSRC and the English National Health Service
Uncontrolled Keywords: Business and International Management,Applied Psychology,Management of Technology and Innovation
Publication ISSN: 1873-5509
Last Modified: 15 Apr 2024 07:21
Date Deposited: 22 Jun 2017 08:30
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 5851?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2017-11-01
Published Online Date: 2017-07-04
Accepted Date: 2017-05-02
Submitted Date: 2016-02-29
Authors: Hussain, M.
Tapinos, E.
Knight, L. (ORCID Profile 0000-0002-4890-9980)



Version: Published Version

License: Creative Commons Attribution

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