Networks dynamics and information sharing: An agent-based simulation approach for the sharing economy

Stefano Za, M. Gisela Bardossy, Eusebio Scornavacca

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The widespread availability of digital ecosystems and networking tools have supported the emergence of the sharing economy, and in particular, social support networks that enable collaborative consumption. This paper proposes an agent-based simulation to shed light on how information sharing dynamics can affect the decision-making process and outcomes of asset sharing online communities. The model considers the online community as a complex system of cognitive and tangible networks, and provides a platform to evaluate architectural choices in the design process of digital platforms. It is grounded on a cognitive model of dependence networks and provides a means for modeling the dynamics of collaborative consumption in digital social support networks. The results of four simulation runs are analyzed and discussed, providing insights regarding the potentiality of this approach and the effect of behavioral rules on agents' outcomes and decision-making patterns.

Original languageEnglish (US)
Title of host publicationProceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages600-609
Number of pages10
ISBN (Electronic)9780998133126
StatePublished - 2019
Externally publishedYes
Event52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 - Maui, United States
Duration: Jan 8 2019Jan 11 2019

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2019-January
ISSN (Print)1530-1605

Conference

Conference52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Country/TerritoryUnited States
CityMaui
Period1/8/191/11/19

ASJC Scopus subject areas

  • Engineering(all)

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