Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/22420
DC FieldValueLanguage
dc.contributor.authorBanerjee, Shankhadeep
dc.contributor.authorSeetharaman, Priya
dc.date.accessioned2024-02-20T05:55:54Z-
dc.date.available2024-02-20T05:55:54Z-
dc.date.issued2022
dc.identifier.issn0970-3896
dc.identifier.issn2212-4446
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/22420-
dc.description.abstractIn this paper, we develop a basic regional e-tailing adoption model based on the “diffusion of innovations” (DOI) theory and the “ability-motivation-opportunity” (AMO) framework. We empirically test the model using ordinary least squares and Poisson regression on district-level e-tailing packages data collected from India Post. Further, we use a neural network model to classify districts into high/low e-tailing potential with 78% accuracy. Apart from its theoretical contribution, the adoption model can also be used by e-tailers to support their regional targeting decisions. © 2022
dc.publisherElsevier
dc.subjectAbility-motivation-opportunity
dc.subjectAdoption behaviour
dc.subjectDiffusion of innovation
dc.subjectDistrict
dc.subjectE-commerce
dc.subjectE-tailing
dc.subjectIndia
dc.subjectOnline retail
dc.titleHow attractive is a locale to e-tailers? Introducing a regional e-tailing adoption model for non-metropolitan India
dc.typeJournal Article
dc.identifier.doi10.1016/j.iimb.2022.07.004
dc.pages116-129p.
dc.vol.noVol.34
dc.issue.noIss.2
dc.journal.nameIIMB Management Review
Appears in Collections:2020-2029 C
Show simple item record

Google ScholarTM

Check

Altmetric


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