
<ns0:uwmetadata xmlns:ns0="http://phaidra.univie.ac.at/XML/metadata/V1.0" xmlns:ns1="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0" xmlns:ns10="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0" xmlns:ns11="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0/entity" xmlns:ns12="http://phaidra.univie.ac.at/XML/metadata/digitalbook/V1.0" xmlns:ns13="http://phaidra.univie.ac.at/XML/metadata/etheses/V1.0" xmlns:ns2="http://phaidra.univie.ac.at/XML/metadata/extended/V1.0" xmlns:ns3="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/entity" xmlns:ns4="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/requirement" xmlns:ns5="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/educational" xmlns:ns6="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/annotation" xmlns:ns7="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/classification" xmlns:ns8="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/organization" xmlns:ns9="http://phaidra.univie.ac.at/XML/metadata/histkult/V1.0">
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    <ns1:identifier>o:29435</ns1:identifier>
    <ns1:title language="en">What drives customer satisfaction and word of mouth in mobile commerce services? A UTAUT2-based analytical approach</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Abstract
Purpose – The purpose of this paper, which is based on the UTAUT2 model, is to develop and evaluate a
predictive model of customer satisfaction related to mobile commerce (m-commerce) and the willingness to
recommend this service to others.
Design/methodology/approach – The study was conducted based on a sample of 402 respondents.
Confirmative factor analysis was used to evaluate the validity of the model, while structural equation
modeling (SEM) was used to test the hypotheses. Finally, artificial neural networks were used to rank the
influence of the significant predictors obtained by SEM.
Findings – Trust was found to be the most significant driver of customer satisfaction, followed by
performance expectancy and perceived value. In addition, affective commitment and satisfaction were
identified as the strongest predictors of word of mouth (WOM).
Originality/value – The originality/value of the paper lies in the establishment of the connection between
the independent variables of the UTAUT 2 model – trust, satisfaction, affective and continence commitment
and WOM. Additionally, it is one of a small number of studies investigating customer commitments and their
influence on WOM in m-commerce.</ns1:description>
    <ns1:keyword language="en">Keywords Word of mouth, M-commerce, Satisfaction, UTAUT2</ns1:keyword>
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      <ns2:resource>1552099</ns2:resource>
      <ns2:identifier>10.1108/JEIM-05-2019-0136</ns2:identifier>
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      <ns2:identifier>1741-0398</ns2:identifier>
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        <ns3:firstname>Veljko</ns3:firstname>
        <ns3:lastname>Marinković</ns3:lastname>
        <ns3:institution>Univerzitet u Beogradu Ekonomski fakultet</ns3:institution>
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        <ns3:firstname>Aleksandar</ns3:firstname>
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        <ns3:institution>Univerzitet u Beogradu Ekonomski fakultet</ns3:institution>
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        <ns3:firstname>Francisco</ns3:firstname>
        <ns3:lastname>Liebana Cabanillas</ns3:lastname>
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  <ns12:digitalbook>
    <ns12:name_magazine language="en">Journal of Enterprise Information Management</ns12:name_magazine>
    <ns12:volume>33</ns12:volume>
    <ns12:booklet>1</ns12:booklet>
    <ns12:from_page>71</ns12:from_page>
    <ns12:to_page>94</ns12:to_page>
    <ns12:releaseyear>2020</ns12:releaseyear>
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