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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Shackle's approach towards priority setting and decision-making in Science, Technology, and Innovation

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Author(s):
Metcalfe, Stan [1] ; Salles-Filho, Sergio [2] ; Duarte, Leonardo T. [3] ; Bin, Adriana [3] ; Azevedo, Anibal T. [3] ; Feitosa, Paulo H. A. [4]
Total Authors: 6
Affiliation:
[1] Univ Manchester, Oxford Rd, Manchester M13 9PL, Lancs - England
[2] Univ Estadual Campinas, Inst Geosci, Dept Sci & Technol Policy, R Carlos Gomes 250, BR-13083855 Campinas, SP - Brazil
[3] Univ Estadual Campinas, Sch Appl Sci, R Pedro Zaccaria 1300, BR-13484350 Limeira, SP - Brazil
[4] Univ Sao Paulo, Sch Commun & Arts, Dept Publ Relat Advertising & Tourism, Av Prof Lucio Martins Rodrigues 443, BR-05508020 Sao Paulo, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: FUTURES; v. 134, DEC 2021.
Web of Science Citations: 0
Abstract

This article explores the possibilities of reprising the potential surprise approach of Shackle's framework as an approach for prospective, priority setting and decision-making process in Science, Technology, and Innovation (ST\&I). These domains have been the focus of extensive studies that have promoted several analytical contributions, although it has often been challenging to grapple with the inherent condition of fundamental uncertainty. This article contributes to the literature in two main ways. First, it demonstrates that Shackle's potential surprise and ascendency function approach can constitute a coherent theoretical and empirical foundation for ST\&I prioritisation and decision-making. Second, it presents an application in a real context to demonstrate its feasibility as an applied tool. Operational conditions and an organisational routine with necessary steps are also suggested to contribute to the development of the proposed approach. Finally, we argue that further studies in the subject require methodological advances, combinations of methods, and incorporation of computational solutions to tackle operational constraints. (AU)

FAPESP's process: 13/05185-9 - Evaluation of science, technology and innovation: policy and organizational implications
Grantee:Adriana Bin
Support Opportunities: Scholarships abroad - Research
FAPESP's process: 13/07218-1 - Frontiers of planning on science, technology and innovation
Grantee:Sergio Luiz Monteiro Salles Filho
Support Opportunities: Scholarships abroad - Research