Show simple item record

dc.contributor.advisorWakefield, Robin L.
dc.creatorNash, Kyle, 1980-
dc.date.accessioned2021-10-08T13:44:39Z
dc.date.available2021-10-08T13:44:39Z
dc.date.created2021-08
dc.date.issued2021-08-05
dc.date.submittedAugust 2021
dc.identifier.urihttps://hdl.handle.net/2104/11592
dc.description.abstractThis 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectE-participation. Latent growth curve modeling. Stigmergy theory.
dc.titleA dynamic approach to examine the growth trajectory of e-participation factors.
dc.typeThesis
dc.rights.accessrightsNo access – contact librarywebmaster@baylor.edu
dc.type.materialtext
thesis.degree.namePh.D.
thesis.degree.departmentBaylor University. Dept. of Information Systems.
thesis.degree.grantorBaylor University
thesis.degree.levelDoctoral
dc.date.updated2021-10-08T13:44:40Z
local.embargo.lift2023-08-01
local.embargo.terms2023-08-01
dc.creator.orcid0000-0003-2637-445X


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record