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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Faculty Publications</text>
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    <name>Article</name>
    <description>Faculty Publications -Articles</description>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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              <text>Mathur, Smriti; Tewari, Alok; Shrivastava, Avinash K.; Verma, Vimal Chandra; Vishnoi, Sushant Kumar; Sharma, Preeti</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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            <elementText elementTextId="217399">
              <text>Predicting Consumers' Usage Intention Towards User-Generated Content: A Hybrid SEM-ANN Approach</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <text>01-01-2025</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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            <elementText elementTextId="217401">
              <text>Journal of Information and Knowledge Management;Volume;24;Issue;1;Article No.;2450106;</text>
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        <element elementId="43">
          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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            <elementText elementTextId="217402">
              <text>&lt;a href="https://doi.org/10.1142/S0219649224501065" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S0219649224501065&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/85213248484?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/85213248484?origin=resultslist&lt;/a&gt;</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Mathur S., School of Business and Management, Christ University, Delhi NCR Campus, U.P., Ghaziabad, India; Tewari A., School of Management, Babu Banarasi das University, U.P., Lucknow, India; Shrivastava A.K., International Management Institute Kolkata, West Bengal, Kolkata, India; Verma V.C., BBA Department, Siddharth University, U.P., Siddharth Nagar, India; Vishnoi S.K., Department of Marketing, Institute of Management Studies, U.P., Ghaziabad, India; Sharma P., School of Business Studies, Sharda University, U.P., Greater Noida, India</text>
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              <text>With the change in the communication pattern, end-users are engaging in creating content and referring to the content created by other users while making purchase decisions. This research aims at modelling factors affecting consumers' usage intention (UI) towards user-generated content (UGC) using Need for Cognition (NfC) as a moderator of the proposed relationships. The factors affecting consumers' UI involve perceived usefulness (PU), source credibility (SC), information quality (IQ) and NfC. Further, a novel attempt has been made by using the neural network approach to assess the predictive accuracy of the model. A structured questionnaire was used to collect data from 298 consumers through a survey. Data were analysed using two-stage structural equation modelling (SEM) and artificial neural network (ANN). All the independent variables viz., PU, SC, IQ and NfC significantly affect attitude towards UGC, which in turn affects UI. Results of multi-group analysis and a series of chi-square difference tests reveal that a NfC significantly moderates the relationship between PU and attitude, as well as that between SC and attitude. The root mean square error values from the neural network analysis suggest that the models show good predictive accuracy. This study provides a novel assessment of the usage of a hybrid SEM-ANN approach for understanding of UGC by incorporating NfC as a moderator in shaping consumers' attitudes and intentions to use UGC.   2025 World Scientific Publishing Co.</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>attitude; information quality; moderation; need for cognition; neural network; perceived usefulness; source credibility; usage intention; User-generated content</text>
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          <name>Publisher</name>
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              <text>World Scientific</text>
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          <description>A related resource</description>
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              <text>ISSN: 2196492;</text>
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          <name>Language</name>
          <description>A language of the resource</description>
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              <text>English</text>
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          <description>The nature or genre of the resource</description>
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              <text>Article</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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            <elementText elementTextId="217410">
              <text>Restricted Access; Hardcopy may be available in the library</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>online</text>
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