{"id":56725,"date":"2025-11-18T17:20:10","date_gmt":"2025-11-19T01:20:10","guid":{"rendered":"https:\/\/svch.io\/?p=56725"},"modified":"2025-11-18T17:20:14","modified_gmt":"2025-11-19T01:20:14","slug":"132-studies-reveal-that-brands-ai-and-consumer-behavior","status":"publish","type":"post","link":"https:\/\/svch.io\/es\/132-studies-reveal-that-brands-ai-and-consumer-behavior\/","title":{"rendered":"132 Studies Reveal That Brands, AI and Consumer Behavior&#8230;"},"content":{"rendered":"\n<p id=\"ember65\">Published in <strong>Electronic Commerce Research (Springer, 2025)<\/strong> brings together <strong>132 academic studies<\/strong> to answer one big question:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong>How does AI influence consumer behavior toward brands?<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember67\">The paper is authored by <a href=\"https:\/\/www.linkedin.com\/in\/ana-raquel-ribeiro-354926147\/\">Ana Raquel Ribeiro<\/a> and <a href=\"https:\/\/www.linkedin.com\/in\/alfonso-jos%C3%A9-lopez-rivero-1b07a342\/\">Alfonso Jos\u00e9 Lopez Rivero<\/a> <a href=\"https:\/\/www.linkedin.com\/school\/universidad-pontificia-de-salamanca\/\">Universidad Pontificia de Salamanca<\/a> in Spain, and represents one of the most comprehensive academic reviews to date.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember70\">What the Study Did (Methodology in Simple Terms)<\/h3>\n\n\n\n<p id=\"ember71\">The researchers followed the <strong>PRISMA<\/strong> method, a gold-standard process for systematic reviews. They searched the <strong>Web of Science<\/strong> database for studies involving <em>Artificial Intelligence<\/em> and <em>Consumer Behavior<\/em>, initially identifying <strong>1082 papers<\/strong>. After filtering by relevance, language, and area (Business, Economics, Communication), they narrowed the list down to <strong>373 papers<\/strong>, and then used <strong>VOSviewer<\/strong>\u2014a bibliometric analysis tool\u2014to cluster and analyze citation patterns.<\/p>\n\n\n\n<p id=\"ember72\">The final dataset contained <strong>132 core articles<\/strong>, covering themes like:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>consumer experience with AI<\/li>\n\n\n\n<li>trust, anthropomorphism, and humanization<\/li>\n\n\n\n<li>online behavioral challenges<\/li>\n\n\n\n<li>AI functionality and adoption barriers<\/li>\n\n\n\n<li>autonomous decision-making and purchasing<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember74\">What the Academic Landscape Shows (The Big Picture)<\/h3>\n\n\n\n<p id=\"ember75\">The review highlights a clear trend:<\/p>\n\n\n\n<p id=\"ember76\"><strong>AI + consumer behavior is exploding as a research topic.<\/strong><\/p>\n\n\n\n<p id=\"ember77\">Publications have surged, especially between <strong>2021 and 2025<\/strong>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most active countries are <strong>the United States and China<\/strong>, followed by the UK, India, Australia, and France.<\/li>\n\n\n\n<li>The fields contributing the most research are <strong>business economics<\/strong>, <strong>communication<\/strong>, and <strong>computer science<\/strong>.<\/li>\n<\/ul>\n\n\n\n<p id=\"ember79\">This confirms what many marketers feel: consumer behavior is entering a new era, one mediated by smart systems, recommendations, personalization engines, and AI-driven interactions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember80\">Five Major Insights From the Review<\/h3>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember81\">1. AI Is Changing the Consumer Experience Itself<\/h3>\n\n\n\n<p id=\"ember82\">Consumers interact not only with brands but with <em>algorithms acting on behalf of brands.<\/em> Chatbots, recommendation engines, voice assistants, and predictive systems influence satisfaction, convenience, and perceived value.<\/p>\n\n\n\n<p id=\"ember83\">AI becomes part of the brand\u2019s identity\u2014sometimes even more memorable than the brand.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember84\">2. Trust and Humanization Matter More Than Technology<\/h3>\n\n\n\n<p id=\"ember85\">The review highlights a growing area of interest: <strong>anthropomorphism<\/strong> and <strong>emotional response<\/strong>.<\/p>\n\n\n\n<p id=\"ember86\">Consumers react differently depending on whether the AI seems:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>competent<\/li>\n\n\n\n<li>friendly<\/li>\n\n\n\n<li>humanlike<\/li>\n\n\n\n<li>transparent<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember88\">3. AI Can Enhance or Damage Consumer Relationships<\/h3>\n\n\n\n<p id=\"ember89\">AI-driven personalization and efficiency can boost engagement and loyalty.<\/p>\n\n\n\n<p id=\"ember90\">But overuse of automation, intrusive data use, or poorly designed AI personalities can generate:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>disappointment<\/li>\n\n\n\n<li>privacy concerns<\/li>\n\n\n\n<li>a feeling of losing control<\/li>\n<\/ul>\n\n\n\n<p id=\"ember92\">When that happens, brand loyalty drops.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember93\">4. Autonomous Purchasing Is Becoming Real<\/h3>\n\n\n\n<p id=\"ember94\">Cluster 5 in the paper highlights a growing phenomenon: <strong>AI systems making purchases on behalf of consumers.<\/strong><\/p>\n\n\n\n<p id=\"ember95\">From subscription replenishment to automated grocery buying, the line between \u201cI chose\u201d and \u201cthe system chose\u201d is blurry.<\/p>\n\n\n\n<p id=\"ember96\">This raises new questions\u2014do consumers stay loyal to the <strong>brand<\/strong>, or to the <strong>AI tool<\/strong> making the choices?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember97\">5. Culture, Motivation, and Context Shape Behavior<\/h3>\n\n\n\n<p id=\"ember98\">The conceptual model in the article shows how psychological state, socio-economic context, and purchase type influence how people respond to AI.<\/p>\n\n\n\n<p id=\"ember99\">There is no universal \u201cAI user.\u201d<\/p>\n\n\n\n<p id=\"ember100\">Context predicts reactions better than technology.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember101\">Figure 2 \u2013 Article Clusters (Bibliographic Map)<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/svch.io\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D4E12AQEe_V4MccMtcA\/article-inline_image-shrink_1000_1488\/B4EZqZUqwEIIAQ-\/0\/1763508924810?e=1765411200&amp;v=beta&amp;t=X9oWe0qiE4N4rdoT838DKyeqPj0HQ9fs7T77fUWnajs\" alt=\"Silicon Valley Certification Hub. Artificial Intelligence Certifications for Non Executives. CAIO. Chief AI Officer\"\/><\/a><\/figure>\n\n\n\n<p id=\"ember105\">This colorful VOSviewer map shows clusters of articles grouped by shared citations.<\/p>\n\n\n\n<p id=\"ember106\">Some of the biggest names appear at the center\u2014researchers like <strong>Kumar<\/strong>, <strong>Wirtz<\/strong>, <strong>Davenport<\/strong>, and <strong>Kim<\/strong>\u2014showing they drive much of the intellectual structure in AI + consumer behavior.<\/p>\n\n\n\n<p id=\"ember107\">Clusters correspond to themes such as consumer experience, trust, online AI interactions, and automated purchasing.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember108\">Figure 3 \u2013 Keyword Network<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/svch.io\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D4E12AQF4VFi0OeONqw\/article-inline_image-shrink_1000_1488\/B4EZqZUxZ2HUAY-\/0\/1763508951901?e=1765411200&amp;v=beta&amp;t=2h8fMhy6mh8XuAXhVrH9Tm3eh9Dx8iubPevrP0TXMy0\" alt=\"Silicon Valley Certification Hub. Artificial Intelligence Certifications for Non Executives. CAIO. Chief AI Officer\"\/><\/a><\/figure>\n\n\n\n<p id=\"ember110\">Terms like <em>artificial intelligence<\/em>, <em>trust<\/em>, <em>anthropomorphism<\/em>, <em>consumer behavior<\/em>, <em>engagement<\/em>, and <em>social media<\/em> form dense interconnected clusters.<\/p>\n\n\n\n<p id=\"ember111\">This means the research community sees these concepts as tightly linked.<\/p>\n\n\n\n<p id=\"ember112\">Notably, words like <em>generative AI<\/em>, <em>privacy<\/em>, and <em>technology adoption<\/em> appear as emerging nodes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember113\">Figure 4 \u2013 Conceptual Model<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/svch.io\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D4E12AQGcFYM60Zq9vg\/article-inline_image-shrink_1500_2232\/B4EZqZU55HIwAU-\/0\/1763508986526?e=1765411200&amp;v=beta&amp;t=Zld96_ZjMEH0Hprl7ENflzNkdYBsKWZSQD7Jop2nw-8\" alt=\"Silicon Valley Certification Hub. Artificial Intelligence Certifications for Non Executives. CAIO. Chief AI Officer\"\/><\/a><\/figure>\n\n\n\n<p id=\"ember115\">This diagram visualizes how the authors interpret all 132 studies:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Core drivers<\/strong> influencing behavior: convenience, efficiency, personalization, security, trust.<\/li>\n\n\n\n<li><strong>Influencing factors:<\/strong> psychological state, socio-economic context, type of purchase, prior experiences.<\/li>\n\n\n\n<li><strong>Risks:<\/strong> privacy fears, loss of control, disappointment.<\/li>\n\n\n\n<li><strong>Outcome:<\/strong> loyalty, engagement, satisfaction, purchase decisions.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember117\">Figure 5 \u2013 Future Research Directions<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/svch.io\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D4E12AQF8bDHfcEiC6Q\/article-inline_image-shrink_1000_1488\/B4EZqZVBUWIoAQ-\/0\/1763509017199?e=1765411200&amp;v=beta&amp;t=M2zOQIIzqq6HNF5rdRXgzUcJmddWjKqIWaV_w-cOMSE\" alt=\"Silicon Valley Certification Hub. Artificial Intelligence Certifications for Non Executives. CAIO. Chief AI Officer\"\/><\/a><\/figure>\n\n\n\n<p id=\"ember120\">This chart maps four major research subtopics:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>The impact of AI on consumer behavior toward brands<\/li>\n\n\n\n<li>Humanization and trust in AI interactions<\/li>\n\n\n\n<li>AI as a market service (experience design)<\/li>\n\n\n\n<li>AI-enabled marketing and loyalty mechanisms<\/li>\n<\/ol>\n\n\n\n<p id=\"ember122\">All of these converge into one big area:<\/p>\n\n\n\n<p id=\"ember123\"><strong>How AI will influence future purchasing intentions.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember124\">Why This Matters for AI in Marketing<\/h3>\n\n\n\n<p id=\"ember125\">This paper reinforces a message I often emphasize at SVCH and in my consulting work:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong>AI reshapes how people behave, feel, and decide.<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember127\">Brands are no longer competing only on product or pricing; they\u2019re competing on <em>algorithmic experience<\/em>.<\/p>\n\n\n\n<p id=\"ember128\">For marketers, this means:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Trust must be designed, not assumed.<\/li>\n\n\n\n<li>Personalization should feel empowering, not manipulative.<\/li>\n\n\n\n<li>AI personality is becoming part of the brand personality.<\/li>\n\n\n\n<li>Data ethics is now a core component of brand equity.<\/li>\n\n\n\n<li>Autonomous purchasing will shift traditional loyalty models.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Published in Electronic Commerce Research (Springer, 2025) brings together 132 academic studies to answer one big question: How does AI influence consumer behavior toward brands? The paper is authored by [&hellip;]<\/p>\n","protected":false},"author":155,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"advanced_seo_description":"The researchers followed the PRISMA method, a gold-standard process for systematic reviews. They searched the Web of Science database for studies involving Artificial Intelligence and Consumer Behavior, initially identifying 1082 papers. 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