Theses/Dissertations - Information Systems & Business Analytics
Permanent URI for this collectionhttps://hdl.handle.net/2104/8490
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Browsing Theses/Dissertations - Information Systems & Business Analytics by Subject "E-participation. Latent growth curve modeling. Stigmergy theory."
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Item A dynamic approach to examine the growth trajectory of e-participation factors.(2021-08-05) Nash, Kyle, 1980-; Wakefield, Robin L.This research explores key factors that drive e-participation growth among 147 nation-states over seven years (2014-2020). While the literature utilizing information and communication technologies (ICT) to advance e-participation research has proliferated in recent years, these studies generally do not clarify how e-participation growth occurs and how it is sustained. The current study develops an e-participation model based on Stigmergy Theory to identify core factors that drive e-participation. Then, Latent Growth Curve Modeling (LGM) is used to examine differences in countries’ growth trajectories over time. This study contributes to understanding the factors that expand and sustain e-participation to reduce developing countries' learning curves.