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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Rea Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>Rea Press</journal-title><issn pub-type="ppub">3009-4496</issn><issn pub-type="epub">3009-4496</issn><publisher>
      	<publisher-name>Rea Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/masi.v3i1.91</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Strategic pricing models, Market dynamics, Buyer psychology, Introductory pricing, Perceptual pricing tactics, Premium price positioning</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>The Psychology of Pricing: How Marketing Strategy Influence on Consumer Buying Behavior</article-title><subtitle>The Psychology of Pricing: How Marketing Strategy Influence on Consumer Buying Behavior</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Zohora</surname>
		<given-names>Fatimatuz </given-names>
	</name>
	<aff>Department of Accounting, National University of Bangladesh, Gazipur, Dhaka Division, Bangladesh.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Uddin</surname>
		<given-names>Ramiz </given-names>
	</name>
	<aff>Department of Accounting and Management Information Systems, California State University, Chico, California, USA.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname> Ur Rashid</surname>
		<given-names>Mohammed Harun</given-names>
	</name>
	<aff>Department of Management Information Systems, University of Bridgeport, Bridgeport, Connecticut, USA.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Mahmudul Hasan</surname>
		<given-names>Md </given-names>
	</name>
	<aff>Ms in Technology Management, School of Engineering, University of Bridgeport, USA.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>03</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>03</month>
        <year>2025</year>
      </pub-date>
      <volume>3</volume>
      <issue>1</issue>
      <permissions>
        <copyright-statement>© 2025 Rea Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>The Psychology of Pricing: How Marketing Strategy Influence on Consumer Buying Behavior</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			This study explores the impact of contemporary pricing strategy constructs on consumer behavior in digital contexts. A quantitative research method was employed, using a structured questionnaire adapted from academic sources. Data were collected from 165 respondents through random sampling. The study focused on six key constructs: Introductory Price Strategies, Trending News Consumption, Content-sharing Platforms, Value-based Pricing Perception, Short-form Blogging Usage, and Buyer Decision Patterns. Results from a fixed-effects multiple regression analysis reveal that all six constructs have a statistically significant, positive influence on consumer behavior at the 1% significance level. The adjusted R² values across models range from 0.644 to 0.872, indicating strong explanatory power. Among them, Buyer Decision Patterns displayed the highest adjusted R² (0.872), showing its critical role in predicting consumer responses. Additionally, all beta coefficients were greater than 0.001, supporting the strength of these relationships. The F-values confirmed the joint significance of the variables, while Durbin-Watson statistics (ranging from 1.02 to 2.11) indicated mild autocorrelation. These findings underscore the strategic importance of pricing approaches as tools for consumer influence, beyond mere economic functions. The study offers valuable implications for marketers aiming to optimize pricing communication, personalization, and engagement in increasingly digital consumer environments. 
		</p>
		</abstract>
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