Publication:
Prediction of Consumer Repurchase Intention with Food Delivery Apps: The Mediating Role of Prior Online Experience Using PLS-SEM-ANN Approach

Simple item page
dc.citedby0
dc.contributor.authorHerzallah F.en_US
dc.contributor.authorAbosamaha A.J.en_US
dc.contributor.authorAl-Sharafi M.A.en_US
dc.contributor.authorid56644756100en_US
dc.contributor.authorid58784629200en_US
dc.contributor.authorid57196477711en_US
dc.date.accessioned2024-10-14T03:19:54Z
dc.date.available2024-10-14T03:19:54Z
dc.date.issued2023
dc.description.abstractThe snowballing approval of food delivery apps (FDAs) in developing countries, including Palestine, calls for a deep insight into this trait. However, limited research has been conducted in Palestine regarding the acceptance and usage of FDAs. Addressing this research gap, this study examines the mediating role of prior online experience (POE) in the relationship between UTAUT2 constructs �performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivations� and consumer repurchase intention (RI) from FDAs. With collecting a sample of 392 customers, a two-step hybrid approach is employed, utilizing partial least squares structural equation modelling (PLS-SEM) for testing hypotheses and artificial neural networks (ANN) for assessing the significance of the construct. The results confirm all hypotheses, indicating that UTAUT2 constructs positively influence POE. Furthermore, POE significantly affects RI, acting as a mediator between UTAUT2 constructs and RI. The analysis of the ANN demonstrates that effort expectancy and facilitating conditions are the most influential factors on POE, while social influence shows relatively lower importance. This research contributes to raise awareness of FDA adoption and usage patterns in developing countries, providing valuable insights for policymakers, businesses, and consumers. The findings emphasize the crucial role of POE in shaping consumers� RI from FDAs. � The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-031-48397-4_14
dc.identifier.epage299
dc.identifier.scopus2-s2.0-85180857534
dc.identifier.spage273
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85180857534&doi=10.1007%2f978-3-031-48397-4_14&partnerID=40&md5=bcee28b4e3553851aed8c5c1cbc8c29a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34455
dc.identifier.volume1128
dc.pagecount26
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleStudies in Computational Intelligence
dc.subjectFood delivery apps
dc.subjectPalestine
dc.subjectPLS-SEM-ANN approach
dc.subjectPrior online experience
dc.subjectUTAUT2
dc.titlePrediction of Consumer Repurchase Intention with Food Delivery Apps: The Mediating Role of Prior Online Experience Using PLS-SEM-ANN Approachen_US
dc.typeBook chapteren_US
dspace.entity.typePublication
Files
Collections
SCOPUS