Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorLuceri, Beatrice-
dc.contributor.authorMaestripieri, Silvia-
dc.description.abstractE-commerce has significantly reshaped consumers’ shopping processes and habits. The need to understand the key drivers of online shopping adoption has received a noticeable attention and fueled a rich strand of studies. The purpose of this research is to summarize this growing volume of evidence through the first comprehensive meta-analysis on the antecedent factors of e-commerce acceptance, to derive actionable insights for managers and researchers. The study draws upon the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), which have been broadly validated in e-commerce literature, and integrates them with relevant constructs that support the integration of cross-disciplinary studies in the online shopping environment. Three dependent variables (attitude toward online shopping, purchase intention, purchase behavior) and eighteen antecedent factors classified into four categories (perceived channel characteristics, website characteristics, social influence, consumer characteristics) are included in the proposed framework. 1,710 effect sizes across 183 studies on a total sample size of 671,689 shoppers are synthetized. The study explicitly clarified several key contributions to the understanding of the dynamics of adoption of online shopping. Results suggest that all subsets of predictors are strongly related to attitude and purchase intention while a reduced number of antecedent factors displays a significant impact on purchase behavior. Meta-analytic structural equation modeling is used to test the theoretical framework that adds to the understanding of the dominant drivers of adoption. Furthermore, moderator analysis is carried out. Implications for online shopping research and practice, and an agenda for future research are finally
dc.publisherUniversita' di Parma. Dipartimento di Scienze economiche e aziendaliit
dc.relation.ispartofseriesDottorato di ricerca in Economia e management dell'innovazione e della sostenibilitàit
dc.rights© Silvia Maestripieri, 2019it
dc.subjectelectronic shoppingit
dc.subjectonline shoppingit
dc.subjectconsumer behaviorit
dc.titleFactors influencing consumers’ adoption of electronic shopping: findings from a meta-analysisit
dc.title.alternativeI fattori che influenzano l'acquisto online: una meta-analisiit
dc.typeDoctoral thesisit
Appears in Collections:Economia, Tesi di dottorato

Files in This Item:
File Description SizeFormat 
Dissertation_Silvia Maestripieri.pdfTesi di Dottorato3.11 MBAdobe PDFView/Open
Relazione sulle attività svolte_Silvia Maestripieri.pdf
  Until 2100-01-01
Relazione sulle attività svolte140.88 kBAdobe PDFView/Open Request a copy
Dichiarazione Tesi Dottorato_Silvia Maestripieri.pdf
  Until 2100-01-01
Dichiarazione per la consegna687.16 kBAdobe PDFView/Open Request a copy

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