Modelling Regional Innovation Systems in Low and Middle-Income Countries

Özge Dilaver*, Alain Nkusi, Joshua Omoju, Roseline Wanjiru

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Innovation is an important means of economic growth. It is, thus, much needed in low and middle income countries. Although this need was recognised early on, innovation literature is largely based on empirical studies in high-income countries. Theorising based on evidence on high-income countries can provide some insights about factors relevant to low and middle income countries if we assume countries follow similar growth trajectories. Yet, both innovation and growth are much more complex. Innovation occurs through complex interactions between various actors and it is often embedded in social contexts that vary across regions. It is, then, adopted and adapted to local needs and contexts. Agent-based social simulation offers an important potential to capture these complex dynamics. In this chapter, we put together two much-needed reviews: existing literature on innovation systems in low and middle income countries, and existing agent-based models of innovation systems. By juxtaposing our findings in these two reviews, we explore how agent-based models can address some of the major limitations of the information systems approach.

Original languageEnglish
Title of host publicationAdvances in Social Simulation
Subtitle of host publicationProceedings of the 17th Social Simulation Conference, European Social Simulation Association
EditorsFlaminio Squazzoni
Place of PublicationCham, Switzerland
PublisherSpringer
Pages383-396
Number of pages14
Edition1st
ISBN (Electronic)9783031349201
ISBN (Print)9783031349195, 9783031349225
DOIs
Publication statusPublished - 2 Oct 2023
Event17th annual conference of European Social Simulation Association, ESSA 2022 - Milan, Italy
Duration: 12 Sept 202216 Sept 2022

Publication series

NameSpringer Proceedings in Complexity ((SPCOM))
PublisherSpringer
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Conference

Conference17th annual conference of European Social Simulation Association, ESSA 2022
Country/TerritoryItaly
CityMilan
Period12/09/2216/09/22

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