https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Nazeri_et_al_2025b 2026-05-06T22:01:29Z Revision history for this page on the wiki MediaWiki 1.27.0-wmf.10 https://www.scipedia.com/wd/index.php?title=Nazeri_et_al_2025b&diff=328911&oldid=prev 2025-12-30T23:21:39Z

<p>Chaocho moved page <a href="/public/Draft_cho_796590975" class="mw-redirect" title="Draft cho 796590975">Draft cho 796590975</a> to <a href="/public/Nazeri_et_al_2025b" title="Nazeri et al 2025b">Nazeri et al 2025b</a></p> <table class="diff diff-contentalign-left" data-mw="interface"> <tr style='vertical-align: top;' lang='en'> <td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 23:21, 30 December 2025</td> </tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div> </td></tr></table>

Chaocho https://www.scipedia.com/wd/index.php?title=Nazeri_et_al_2025b&diff=328910&oldid=prev 2025-12-30T23:21:35Z

<p>Created page with &quot; == Abstract == &lt;p&gt;&lt;strong&gt;Purpose- &lt;/strong&gt;This study investigates the structural relationships between data-driven characteristics, marketing innovation, sustainability pr...&quot;</p> <p><b>New page</b></p><div><br /> == Abstract ==<br /> <br /> &lt;p&gt;&lt;strong&gt;Purpose- &lt;/strong&gt;This study investigates the structural relationships between data-driven characteristics, marketing innovation, sustainability practices, and their impact on brand credibility, customer loyalty, and business performance in fisheries startups. The research is grounded in the Resource-Based View (RBV) and Dynamic Capabilities Theory, emphasizing the strategic role of data culture and innovation in startup growth.&lt;/p&gt;<br /> <br /> &lt;p&gt;&lt;strong&gt;Design/Methodology/Approach-&lt;/strong&gt;A structured questionnaire was developed based on validated measurement scales from existing literature, translated using forward&amp;ndash;backward translation, and pre-tested with 40 respondents. Data were collected from 380 startup stakeholders in Iran&amp;#39;s aquaculture sector. The instrument demonstrated high reliability (Cronbach&amp;rsquo;s alpha &amp;ge; 0.81) and convergent validity (AVE &amp;ge; 0.59). Exploratory and Confirmatory Factor Analyses (EFA/CFA) were conducted to validate the measurement model. Structural Equation Modeling (SEM) using SmartPLS was applied to test the hypothesized paths (see Figure 1).&lt;/p&gt;<br /> <br /> &lt;p&gt;&lt;strong&gt;Findings-&lt;/strong&gt;The results reveal that data-driven characteristics significantly influence marketing innovation (&amp;beta; = 0.35, p &amp;lt; 0.001). In turn, marketing innovation enhances brand credibility (&amp;beta; = 0.48, p &amp;lt; 0.001), which positively affects customer loyalty (&amp;beta; = 0.52, p &amp;lt; 0.001). Loyalty and sustainability practices both significantly contribute to business performance (&amp;beta; = 0.43 and 0.39, respectively; p &amp;lt; 0.001). All proposed hypotheses were supported, and model fit indices confirmed the robustness of the structural model.&lt;br&gt;<br /> Practical&lt;/p&gt;<br /> <br /> &lt;p&gt;&lt;strong&gt;Implications- &lt;/strong&gt;This research provides actionable insights for startup managers in emerging industries, particularly in aquaculture, emphasizing the integration of data analytics, innovative marketing, and sustainability to build resilient brand performance.&lt;/p&gt;<br /> <br /> &lt;p&gt;&lt;strong&gt;Originality/Value- &lt;/strong&gt;This is among the first studies to empirically examine the integrated role of data culture, innovation, and sustainability in determining brand and performance outcomes within fisheries startups, combining theory-driven modeling with real-world entrepreneurial data.&lt;/p&gt;<br /> <br /> <br /> <br /> == Document ==<br /> &lt;pdf&gt;Media:Draft_cho_796590975-7775-document.pdf&lt;/pdf&gt;</div>

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