<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-21T08:14:21Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/5649" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/5649</identifier><datestamp>2021-11-02T12:04:58Z</datestamp><setSpec>com_10259_4731</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_4732</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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<subfield code="a">Rodríguez Torrico, Paula</subfield>
<subfield code="e">author</subfield>
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<subfield code="a">San Martín Gutiérrez, Sonia</subfield>
<subfield code="e">author</subfield>
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<datafield tag="720" ind1=" " ind2=" ">
<subfield code="a">San José Cabezudo, Rebeca</subfield>
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<subfield code="c">2020-10</subfield>
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<subfield code="a">Purpose – Nowadays some consumers consider themselves as “omnichannels” – they combine both physical&#xd;
and digital channels expecting a seamless shopping experience – since they view their shopping process from a&#xd;
multiple-channel viewpoint. Giving that situation, the aim of this paper is to test the role of consumers’&#xd;
omnichannel tendency (omni-tendency) in the information processing in the digital channel.&#xd;
Design/methodology/approach – Based on the Elaboration Likelihood Model (ELM), emotions as well as&#xd;
utilitarian and hedonic experiences are proposed to understand consumer attitude towards the digital store.&#xd;
Through a survey, data were collected from 284 digital shoppers. PLS path modelling and PLS-MGA were used&#xd;
to test the research hypotheses.&#xd;
Findings – The results confirm that emotions positively affect the evaluation of the experiences, which in turn&#xd;
improves the attitude towards the digital store. Focusing on the differences among consumers, the findings&#xd;
show that for consumers with low omni-tendency the emotions are key to improve the evaluation of their&#xd;
experiences. Moreover, regarding the attitude, consumers with more omni-tendency follow the central route to&#xd;
process the information; and consumers with less omni-tendency follow the peripheral route.&#xd;
Originality/value – This paper contributes to the literature in three ways. First, this research includes the&#xd;
study of omni-tendency, as a consumer trait, in the information processing developed in the digital channel,&#xd;
ignored in the literature. Second, this work contributes to information processing theories in digital context&#xd;
confirming, specifically the applicability of ELM into the omnichannel context. This offers support to the&#xd;
application of traditional theories to explain new phenomena. Third, and in line with the previous contribution,&#xd;
this work goes a step further in understanding ELM theory by including other constructs –the omni-tendency&#xd;
and emotions– to explain the information processing in the digital context.</subfield>
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<subfield code="a">1468-4527</subfield>
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<subfield code="a">http://hdl.handle.net/10259/5649</subfield>
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<subfield code="a">10.1108/OIR-08-2019-0272</subfield>
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<subfield code="a">Omnichannel tendency</subfield>
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<subfield code="a">Emotions</subfield>
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<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Experiences</subfield>
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<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Digital channel</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Information processing</subfield>
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<subfield code="a">The role of omnichannel tendency in digital information processing</subfield>
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