The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
How are foresight methods selected?
Abstract
Purpose: This paper addresses a challenging topic, which in both academic and professional literatures has been widely discussed but mainly from one single angle – that is, how to select foresight methods. From that point of view researchers and consultants promote (even if unintentionally) the use of particular methods. Here the question of selection is raised from a different perspective: how are foresight methods selected? Design/methodology/approach: The guiding “theory” is that a better understanding of the fundamental attributes of foresight methods and their linkages to the core phases of a foresight process, together with the identification of possible patterns in the selection of methods, will provide useful insights as to how the selection of methods is carried out. Findings: So far the selection of foresight methods has been dominated by the intuition, insight, impulsiveness and – sometimes – inexperience or irresponsibility of practitioners and organisers. This paper reveals that the selection of foresight methods (even if not always coherent or systematic) is a multi‐factor process, and needs to be considered as such. Practical implications: The results can be utilised by lecturers and students to describe and understand better the use of foresight methods, and by organisers of foresight (including practitioners) to better inform decisions during the design of (hopefully) more coherent methodological frameworks. Originality/value: The paper combines practical concepts and frameworks (such as the Foresight Process and the Foresight Diamond) with innovative analyses to represent and visualise better the combination of methods in 886 case studies, for example introducing the Methods Combination Matrix (MCM) to examine the dynamics of a mix of methods.
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Citations
Cites
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The current state of scenario development: an overview of techniques
Bishop, P., Hines, A., & Collins, T. (2007) · Foresight · doi:10.1108/14636680710727516 · Cited by 813
A generic foresight process framework
Voros, J. (2003) · Foresight · doi:10.1108/14636680310698379 · Cited by 555
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From forecasting to foresight processes—new participative foresight activities in Germany
Cuhls, K. (2003) · Journal of Forecasting · doi:10.1002/for.848 · Cited by 377
Creating Futures: Scenario Planning as a Strategic Management Tool
Godet, M. (2001) · Cited by 322
Scenario workshops and consensus conferences: towards more democratic decision-making
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Self-citationThe Handbook of Technology Foresight - Concepts and Practice
Georghiou, L., Harper, J. C., Keenan, M., et al. (2008) · Research Explorer (The University of Manchester) · Cited by 212
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Corporate foresight: An emerging field with a rich tradition
Rohrbeck, R., Battistella, C., & Huizingh, E. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.11.002 · Cited by 357
Sharing versus collaborative economy: how to align ICT developments and the SDGs in tourism?
Gössling, S., & Michael Hall, C. (2019) · Journal of Sustainable Tourism · doi:10.1080/09669582.2018.1560455 · Cited by 308
Boosting the EU forest-based bioeconomy: market, climate, and employment impacts
Jonsson, R., Rinaldi, F., Pilli, R., Fiorese, G., Hurmekoski, E., Cazzaniga, N., Robert, N., & Camia, A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120478 · Cited by 118
Backcasting as a strategic management tool for meeting VUCA challenges
Thorén, K., & Vendel, M. (2019) · Journal of Strategy and Management · doi:10.1108/jsma-10-2017-0072 · Cited by 43
Zackery, A., Shariatpanahi, P., Zolfagharzadeh, M. M., & Pourezzat, A. A. (2016) · Futures · doi:10.1016/j.futures.2015.11.002 · Cited by 29
Metadata
- Authors
- Popper, R.
- Venue
- Foresight
- Publisher
- Emerald
- Published
- 2008-10-15
- Volume
- 10
- Issue
- 6
- Pages
- 62-89
- ISSN
- 1463-6689 (ISSN-L)
- OpenAlex
- W2019250616
- Cited by
- 454
- References
- 17
- FWCI
- 21.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.