Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Briceño Yañez, Stephanie Matilde, Cabezas Navarro, Alexandra, Talledo Flores, Hernán
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/657886
Enlace del recurso:http://hdl.handle.net/10757/657886
Nivel de acceso:acceso embargado
Materia:Millennials
Online purchase intention
Online retail
Web experience
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dc.title.es_PE.fl_str_mv Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
title Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
spellingShingle Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
Briceño Yañez, Stephanie Matilde
Millennials
Online purchase intention
Online retail
Web experience
title_short Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
title_full Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
title_fullStr Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
title_full_unstemmed Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
title_sort Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
author Briceño Yañez, Stephanie Matilde
author_facet Briceño Yañez, Stephanie Matilde
Cabezas Navarro, Alexandra
Talledo Flores, Hernán
author_role author
author2 Cabezas Navarro, Alexandra
Talledo Flores, Hernán
author2_role author
author
dc.contributor.author.fl_str_mv Briceño Yañez, Stephanie Matilde
Cabezas Navarro, Alexandra
Talledo Flores, Hernán
dc.subject.es_PE.fl_str_mv Millennials
Online purchase intention
Online retail
Web experience
topic Millennials
Online purchase intention
Online retail
Web experience
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-11-02T17:00:54Z
dc.date.available.none.fl_str_mv 2021-11-02T17:00:54Z
dc.date.issued.fl_str_mv 2022-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 21903018
dc.identifier.doi.none.fl_str_mv 10.1007/978-981-16-5792-4_43
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/657886
dc.identifier.eissn.none.fl_str_mv 21903026
dc.identifier.journal.es_PE.fl_str_mv Smart Innovation, Systems and Technologies
dc.identifier.eid.none.fl_str_mv 2-s2.0-85116875784
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85116875784
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21903018
10.1007/978-981-16-5792-4_43
21903026
Smart Innovation, Systems and Technologies
2-s2.0-85116875784
SCOPUS_ID:85116875784
0000 0001 2196 144X
url http://hdl.handle.net/10757/657886
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://link.springer.com/chapter/10.1007/978-981-16-5792-4_43
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Smart Innovation, Systems and Technologies
dc.source.volume.none.fl_str_mv 259 SIST
dc.source.beginpage.none.fl_str_mv 435
dc.source.endpage.none.fl_str_mv 445
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/657886/1/license.txt
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repository.name.fl_str_mv Repositorio académico upc
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spelling 49eb6dfd1d91a1028ac5e4b5bbe045205009fb1db3b4401f947d44f9157434fdfcd300750f1fe8e7a33fff59166ad0d2cd01e0Briceño Yañez, Stephanie MatildeCabezas Navarro, AlexandraTalledo Flores, Hernán2021-11-02T17:00:54Z2021-11-02T17:00:54Z2022-01-012190301810.1007/978-981-16-5792-4_43http://hdl.handle.net/10757/65788621903026Smart Innovation, Systems and Technologies2-s2.0-85116875784SCOPUS_ID:851168757840000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.The current context shows an increase in the attraction to online purchases on retail websites. Hence, there is a change in the behavior of millennial users and the factors that seek their purchase intention. Therefore, the objective of this study is to analyze the effect of WE factors (usability, interactivity, trust and aesthetics) on the OPI of users on retail websites, specifically in the clothing category, in Lima Metropolitan. The study’s findings would aid retailers in designing more effective websites. From 486 questionnaires distributed to millennials in Lima Metropolitan, 400 effective responses were obtained. Likewise, non-probability sampling was used with a convenience sampling technique. The collected data was processed using SPSS. Cronbach’s Alpha was used to check the reliability of the scales. An exploratory factor analysis was performed for data reduction that allowed exploring the variables under study. Finally, a multiple linear regression was performed to determine the relationship structure between the variables. The results show that usability, interactivity, trust and aesthetics are the WE factors that positively and significantly affect online purchase intention in millennial users in Lima Metropolitan. 4 hypotheses were proposed which were fully accepted. This research shares relevant information about the effects of WE factors on OPI. It expands the knowledge regarding the importance of effective website design by integrating the most relevant factors such as usability, interactivity, trust and aesthetics to improve the WE.application/htmlengSpringer Science and Business Media Deutschland GmbHhttps://link.springer.com/chapter/10.1007/978-981-16-5792-4_43info:eu-repo/semantics/embargoedAccessMillennialsOnline purchase intentionOnline retailWeb experienceWeb Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysisinfo:eu-repo/semantics/articleSmart Innovation, Systems and Technologies259 SIST435445reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/657886/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/657886oai:repositorioacademico.upc.edu.pe:10757/6578862021-11-02 17:00:55.482Repositorio académico upcupc@openrepository.comTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=
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Web Experience Effects on Online Purchase Intention by Millennials on Retail Websites in Lima Metropolitan: An Application with Regression Analysis
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