Enhancing Horizon Scanning by utilizing pre-developed scenarios: analysis of current practice and specification of a process improvement to aid the identification of important 'weak signals'
Article
Rowe, E., Wright, G. and Derbyshire, J. 2017. Enhancing Horizon Scanning by utilizing pre-developed scenarios: analysis of current practice and specification of a process improvement to aid the identification of important 'weak signals'. Technological Forecasting and Social Change. 125, pp. 224-235. https://doi.org/10.1016/j.techfore.2017.08.001
Type | Article |
---|---|
Title | Enhancing Horizon Scanning by utilizing pre-developed scenarios: analysis of current practice and specification of a process improvement to aid the identification of important 'weak signals' |
Authors | Rowe, E., Wright, G. and Derbyshire, J. |
Abstract | This paper documents the Intuitive Logics scenario planning process and its relationship with horizon scanning activity in order to evaluate the separate and joint usefulness of these methods for anticipating the future. The specific objectives of this paper are to: (i) identify and differentiate scenario planning and horizon scanning methodologies (ii) discuss & evaluate their analytic underpinnings, and (iii) critically appraise their separate and combined value and effectiveness in relation to enhancing organizational preparedness for the future. Our analysis culminates with specifications to (iv) enhance the identification of ’weak signals’ in Horizon Scanning by utilizing a systematically broadened range of both negatively-valenced and positively-valenced scenario storylines. |
Research Group | Centre for Enterprise, Environment and Development Research (CEEDR) |
Publisher | Elsevier |
Journal | Technological Forecasting and Social Change |
ISSN | 0040-1625 |
Publication dates | |
Online | 23 Aug 2017 |
01 Dec 2017 | |
Publication process dates | |
Deposited | 08 Aug 2017 |
Accepted | 01 Jul 2017 |
Output status | Published |
Publisher's version | License |
Accepted author manuscript | License |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.techfore.2017.08.001 |
Language | English |
https://repository.mdx.ac.uk/item/871y5
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