EconPapers    
Economics at your fingertips  
 

Constructing vision-driven indicators to enhance the interaction between science and society

Asako Okamura () and Keisuke Nishijo ()
Additional contact information
Asako Okamura: National Graduate Institute for Policy Studies (GRIPS)
Keisuke Nishijo: National Graduate Institute for Policy Studies (GRIPS)

Scientometrics, 2020, vol. 125, issue 2, No 42, 1575-1589

Abstract: Abstract In this fast-paced modern world, science, technology, and innovation (STI) are key drivers that impact all areas of life at individual and organisational levels, deepening the relationship between science and society. The degree of acceptance and absorption capacity of STI varies across people and organisations within countries as well as at a cross-cultural level. As the values of people and society, in addition to the latter’s structure, are changing, it has been increasingly challenging to identify the aims of policies and the indicators to monitor those policies. When considering the future direction of STI policy, it is important to understand the interrelationships between individuals, society and STI from a policy perspective. In our project, to explore the desirous relationship between science and society, we propose the behavioural changes necessary for actors, such as citizens, policymakers, researchers, the media, and industry. We adopt an experimental ‘participatory’ approach to develop the indicator plan by conducting multiple workshops. This paper introduces our project’s experiment of designing such indicators through ‘vision-driven’ approaches.

Keywords: Social visions; Participatory indicator development; STI indicators (search for similar items in EconPapers)
JEL-codes: O39 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-020-03598-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03598-z

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-020-03598-z

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03598-z