Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5402
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTendai Shelton Muwanien_US
dc.contributor.authorLemias Zivanaien_US
dc.contributor.authorBriget Munyoroen_US
dc.contributor.authorNjodzi Ranganaien_US
dc.contributor.authorNyasha Chipunzaen_US
dc.date.accessioned2023-03-14T11:45:58Z-
dc.date.available2023-03-14T11:45:58Z-
dc.date.issued2022-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/5402-
dc.descriptionAbstracten_US
dc.description.abstractMost societies have been in abject poverty owing to a lack of proper education, gender alienation, and socio-economic and political factors. Localized external economies, particularly economies of scale and scope, as small firms specialize and engage in a division of labor, are among the benefits of clustering. Clusters are important because geographical agglomeration has the potential to help small businesses overcome size constraints, advance technologically, and improve competence in local and global markets. The adoption of technologies has the effect of replacing the old way of doing things with manual and mechanical methods. The study examined the potential of clustering to help marginalized communities to become integrated and improve their quality of life in a digital society and concluded that ICTs can, if adopted and used properly, shift and destroy social boundaries between the elite and the segregated. Future research can look at the adoption of digital technologies in marginalized areas.en_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.subjectSocietiesen_US
dc.subjectDigital Societyen_US
dc.subjectMarginalizationen_US
dc.subjectDigital inclusionen_US
dc.subjectModern Technologiesen_US
dc.subjectDigital Divideen_US
dc.subjectClustersen_US
dc.titleClusters for Transformation in Marginalized Areasen_US
dc.typebook parten_US
dc.relation.publicationDigital Transformation for Promoting Inclusiveness in Marginalized Communitiesen_US
dc.identifier.doi10.4018/978-1-6684-3901-2.ch009-
dc.contributor.affiliationManicaland State University of Applied Sciences, Zimbabween_US
dc.contributor.affiliationMidlands State University, Zimbabween_US
dc.contributor.affiliationMidlands State University, Zimbabween_US
dc.contributor.affiliationManicaland State University of Applied Sciences, Zimbabween_US
dc.contributor.affiliationManicaland State University of Applied Sciences, Zimbabween_US
dc.relation.isbn9781668439012en_US
dc.description.startpage185en_US
dc.description.endpage199en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.languageiso639-1en-
item.openairetypebook part-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Book Chapters
Files in This Item:
File Description SizeFormat 
Clusters for Transformation in Marginalized Areas.pdf8.54 kBAdobe PDFView/Open
Show simple item record

Page view(s)

38
checked on Jul 24, 2024

Download(s)

14
checked on Jul 24, 2024

Google ScholarTM

Check

Altmetric


Items in MSUIR are protected by copyright, with all rights reserved, unless otherwise indicated.