A retroductive systems-based methodology for socio-technical transitions research
George Papachristos and
Emmanuel Adamides
Technological Forecasting and Social Change, 2016, vol. 108, issue C, 1-14
Abstract:
Socio-technical system transitions research describes and categorizes transitions and explains and identifies their driving causes. In the literature, transition research frameworks have received some critique on whether they can facilitate the search for transition causes. As a response, and in order to cater for the complexity and contextuality of multi system transitions, this paper proposes a retroductive systems-based methodology. The methodology relies on qualitative case study development and quantitative simulation modelling. Retroduction along with modelling and simulation can contribute to the shift from researching single system/technology transitions to multi system/technology transitions. Thus the paper offers a step towards coping methodologically with sustainability transitions that often concern multi system interactions. We demonstrate the use of the methodology by adopting the Multi-Level Perspective on transitions to explain the emergence of the functional foods as a niche in the food/nutrition socio-technical system.
Keywords: Socio-technical systems; Transitions; Research methodology; Retroduction; Critical realism; System dynamics (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162516300294
Full text for ScienceDirect subscribers only
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:eee:tefoso:v:108:y:2016:i:c:p:1-14
DOI: 10.1016/j.techfore.2016.04.007
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().