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  <titleInfo>
    <title>Vlogger's recommendations and reputation's predictive value toward online shopping intention</title>
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  <titleInfo type="uniform">
    <title>Far Eastern University - Cavite</title>
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  <name type="personal">
    <namePart>Bachelor of Science in Acoountancy</namePart>
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    <namePart type="date">2022</namePart>
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  <name type="personal">
    <namePart>I, 35 pages; 28 cm</namePart>
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  <name type="personal">
    <namePart>TH 381.142 Aw11 2022</namePart>
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    <publisher>College Library</publisher>
    <dateIssued encoding="marc">9999</dateIssued>
    <edition>Online shopping -- Research ; Online shopping (Vlogging) -- Research ; Online shopping (Vloggers)</edition>
    <issuance>monographic</issuance>
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    <extent>The research used a quantitative method to determine that there is a significant relationship between the perceived usefulness of vloggers` recommendations, their reputation, and the online shopping intention of consumers. The independent variables` predictive value was also proven to be consequential toward the online shopping intention of the target population. Determining their predictive value in the modern world may be advantageous, not just to business who engage in product advertisement. throgh collaborations with known vloogers, but also to consumers who view vlogs as a reliable source of information about products they have interest in as well as to academic and profssional researchers who aims to prove the relationship of the said variables in the future.:  1</extent>
    <extent>1 pages</extent>
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  <note type="statement of responsibility">Bea Claire A. Awa-ao, Crizelle Venice M. Esplana, Dasiree L. Peji, Leanette Faye S. Puno.</note>
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  <subject>
    <topic>Unmediated</topic>
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