『AI & Marketing Research with Dr. Eva Wolf』のカバーアート

AI & Marketing Research with Dr. Eva Wolf

AI & Marketing Research with Dr. Eva Wolf

著者： Eva
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Not another AI news podcast. This is a research radar — a twice-weekly briefing that surfaces peer-reviewed studies on AI and marketing, tells you what the evidence actually says, and helps you decide what's worth a deeper read.

© 2026 AI & Marketing Research with Dr. Eva Wolf マーケティング マーケティング・セールス 経済学
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  • AI Marketing & Cashless Payments: Consumer Trust Research

    AI Marketing & Cashless Payments: Consumer Trust Research
    2026/05/28
    If your AI personalization is doing its job but your checkout is broken, are you actually converting anyone? That's the question at the centre of this week's radar brief — and it's one that gets surprisingly little research attention. In this Research Radar Brief, Dr. Eva Wolf reviews 1 recent AI marketing research paper covering AI-driven personalization, cashless payment systems, consumer trust, and purchase decision-making in household durable goods. Seventy-five papers were screened this week. One cleared the relevance bar — and it lands on the watchlist, not the deep-dive queue. What you'll learn: - Why the combination of AI personalization and payment UX may matter more than either element alone - How trust and perceived ease of use appear to act as the bridge between digital marketing tactics and actual purchase decisions - What this research does and does not prove — and why the full-text access gap limits conclusions - Which methodological details are missing and why that matters before acting on this finding - Why this research angle is worth watching if you work in e-commerce, retail tech, or high-consideration product categories Papers covered: 1. Integrating AI-Driven Marketing and Cashless Payment Systems: An Empirical Study of Consumer Decision-Making in Household Durable Purchases Source type: Peer-reviewed conference proceeding (IEEE ICKECS 2026) Access: Abstract only — full text was inaccessible at time of recording DOI: https://doi.org/10.1109/ickecs70176.2026.11527601 Triage verdict: Watchlist Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-cashless-payments-consumer-trust-decision-making-2026-05-28 This is a first-pass research briefing, not a final academic review. Summaries are based on available abstracts and metadata. Findings are associations, not proven causal claims. Read the original papers before making any decisions. -- This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions. AI & Marketing Research Radar is produced by BigPlans Media. Subscribe wherever you listen to podcasts.
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    9 分
  • AI Marketing Ethics, Data Privacy & Industry 5.0: Research Brief

    AI Marketing Ethics, Data Privacy & Industry 5.0: Research Brief
    2026/05/27
    If you can't explain to your customer what data you're collecting — or why — are you actually ready to be running AI marketing at all? That's the uncomfortable question sitting at the centre of this week's radar. Two 2026 book chapters surfaced from a screen of 75 papers, both pointing at the parts of AI marketing most teams don't want to look at: privacy exposure, algorithmic bias, and the real complexity of integrating AI into existing workflows. In this Research Radar Brief, Dr. Eva Wolf reviews 2 recent AI marketing research papers covering ethical challenges in AI-driven targeting, data privacy and GDPR compliance, algorithmic bias in ad systems, and Industry 5.0 human-machine collaboration in marketing management. What you'll learn: - Why most AI marketing campaigns may be collecting personal data without adequate consumer transparency - How training data gaps can cause AI targeting systems to treat customer segments unfairly - What GDPR enforcement inconsistencies mean for marketers operating across borders - Why 'privacy by design' is the practical standard regulators and researchers are pointing toward - How Industry 5.0 reframes AI as a human-machine partner — not just an automation layer - What AR, VR, and IoT adoption in marketing looks like in emerging markets - Why workflow integration complexity is a real barrier when adding AI tools to existing marketing stacks Papers covered: 1. Ethical Challenges and Data Privacy Concerns in AI-Driven Marketing Gaur, Pareek & Yadav (2026) Source type: Academic book chapter Peer review: Likely peer-reviewed Access: Abstract only DOI: https://doi.org/10.1201/9781003671381-4 2. AI-Based Marketing Management Strategies and Industry 5.0 Parashar, Parashar & Parashar (2026) Source type: Academic book chapter Peer review: Likely peer-reviewed Access: Abstract only Venue: Bentham Science Publishers eBooks DOI: https://doi.org/10.2174/9789815324037126010015 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-ethics-data-privacy-industry-5-2026-05-27 Disclaimer: This is a first-pass research briefing, not a final academic review. Summaries are based on available abstracts and metadata only. Neither paper reached the deep-dive threshold this episode — both are watchlist items pending full-text access. Read the original papers before making any decisions. -- This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions. AI & Marketing Research Radar is produced by BigPlans Media. Subscribe wherever you listen to podcasts.
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    16 分
  • AI Marketing Research: Data Gaps, Trust Risks & Personalization

    AI Marketing Research: Data Gaps, Trust Risks & Personalization
    2026/05/26
    You have the data. The CRM is full. The analytics dashboards are humming. So why aren't your marketing results improving? That's the tension running through this episode. Three recent papers all circle the same uncomfortable question: when does AI actually help, and when does it quietly fail you? In this Research Radar Brief, Dr. Eva Wolf reviews 3 recent AI marketing research papers covering AI adoption as a performance mediator, consumer psychology risks from AI-generated creative, and the ethics and governance of AI personalization. What you'll learn: - Why having more data doesn't automatically improve marketing performance — and what the missing link is - What an Egyptian B2B study of 148 managers found about AI adoption and marketing outcomes - Why AI-generated ads can trigger an uncanny valley response that quietly erodes brand trust - What "model collapse" means for AI marketing tools trained on synthetic data - How AI personalization has evolved from simple rules to real-time neural networks - What a responsible AI marketing framework looks like before you scale a personalization campaign - Key limitations to watch: sample size, cross-sectional design, literature review sourcing, and journal tier Papers covered: 1. The Mediation Role Played by AI Adoption in the Relationship Between Information Processing Requirements and Marketing Performance Source: Peer-reviewed journal article (likely peer-reviewed) Access: Abstract only Venue: Management & Sustainability: An Arab Review, 2026 Link: https://doi.org/10.1108/msar-09-2025-0354 2. The Convergence of Artificial Intelligence, Consumer Psychology, and Marketing Strategy in the Digital Age Source: Peer-reviewed journal article (likely peer-reviewed) Access: Abstract only Venue: International Journal of Scientific Research in Engineering and Management, 2026 Link: https://doi.org/10.55041/ijsrem.ncdtaim032 3. The Use of Artificial Intelligence for Personalized Advertising and Marketing Source: Peer-reviewed journal article (likely peer-reviewed) Access: Abstract only Venue: International Journal of Advanced Research in Science, Communication and Technology, 2026 Link: https://doi.org/10.48175/ijarsct-32854 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-research-data-gaps-trust-risks-personalization-2026-05-26 Disclaimer: This is a first-pass research briefing, not a final academic review. Summaries are based on available abstracts and metadata. Read the original papers before making business or strategic decisions. Findings should not be treated as established conclusions without further verification. -- This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions. AI & Marketing Research Radar is produced by BigPlans Media. Subscribe wherever you listen to podcasts.
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    18 分
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