At the relational crossroads: Narrative Selection, Contamination, Biodiversity in Trans-Local Contexts
Nicolò Bellanca () and
Journal of Economic Behavior & Organization, 2018, vol. 150, issue C, 98-113
Agents act according to their knowledge of the state of the world and the relevant consequences which they may foresee, i.e. the payoffs corresponding to their choice of action. Such a pervasive representation of the world and of the position of the agents in the succession of cause-effect links is more than an aseptic information, but is rather culturally and emotionally dense. These overarching maps have been introduced in the literature as narratives, which include both the comprehension of the mechanisms of reality and the role covered in the latter by the self. Contrary to strategies and actions, narratives cannot be swiftly changed to better fit different situations and to achieve higher payoffs. We thus study what is the resulting narrative dynamics when two social groups with different “favoured” narratives interact in a Trans-Local Context. Indeed, we present the outcomes, framing them into three categories according to their interpretation in terms of narratives diffusion: Selection, Contamination, Biodiversity.
Keywords: Trans-Local Context; Narrative; Social identity; Cultural change; Behavioural economics; Beliefs (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:150:y:2018:i:c:p:98-113
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Haili He ().