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Modelling wedding marketing strategies: An fsQCA Analysis

Anestis Fotiadis

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  <identifier identifierType="DOI">10.5281/zenodo.1247540</identifier>
      <creatorName>Anestis Fotiadis</creatorName>
      <affiliation>Zayed University</affiliation>
    <title>Modelling wedding marketing strategies: An fsQCA Analysis</title>
    <subject>Marketing Strategies</subject>
    <date dateType="Issued">2018-05-15</date>
  <resourceType resourceTypeGeneral="JournalArticle"/>
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    <relatedIdentifier relatedIdentifierType="ISSN" relationType="IsPartOf">2529-1947</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1247539</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;&lt;em&gt;Aim of the study is to develop a model delineating customer perceptions on wedding marketing strategies in Kaohsiung, Taiwan.&lt;strong&gt; &lt;/strong&gt;Main objective of this paper is to analyse a category of special events: the wedding market sector in Kaohsiung, Taiwan by examining how they attract consumers regarding their marketing strategies using the method of fuzzy-set Qualitative Comparative Analysis (fsQCA).&amp;nbsp; Based on a survey to married, in relationship and singles local citizens of Taiwan the relationships between impressions, importance, push factors with decision making was explored. To test the hypotheses of the proposed model a primary research study was conducted employing a mall intercept technique via distribution of a self-administered questionnaire within a cross sectional on-site field research context. A fsQCA modelling approach technique was employed in order to measure, estimate and confirm the different casual paths constructs, as well as to test the significance of the paths between different segments of the wedding industry. Our findings reveal that the presence of importance, push factors and decision making determines the level of consumer perception performance. However, impressions do not show significant impact on consumer perceptions.&lt;/em&gt;&lt;/p&gt;</description>
    <description descriptionType="Other">SUBMITTED: SEP 2017; REVISION SUBMITTED: JAN 2018; ACCEPTED: APR 2018; REFEREED ANONYMOUSLY; PUBLISHED ONLINE: 15 MAY 2018</description>
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