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From Search Engines to AI Engines: How Generative Artificial Intelligence Is Transforming Consumer Discovery, Decision-Making, and Digital Marketing Ecosystems

検索エンジンからAIエンジンへ:生成AIが消費者の発見、意思決定、デジタルマーケティングエコシステムをどう変革するか (AI 翻訳)

M. Khan, Syeda Roshaan Jamil Habibi, Muhammad Shehzad Khan, Rabail Tariq Mughal

Inverge Journal of Social Sciences📚 査読済 / ジャーナル2026-05-31#その他
DOI: 10.63544/ijss.v5i3.300
原典: https://invergejournals.com/index.php/ijss/article/download/300/529
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🤖 gxceed AI 要約

日本語

本研究は、生成AIが消費者の発見プロセス、意思決定行動、デジタルマーケティングエコシステムに与える影響を定量的に分析。420名の回答から、AI搭載システムが情報アクセス性、個人化、顧客対話、業務効率を向上させることを確認。一方で、データプライバシーやアルゴリズムバイアスなどの倫理的課題も指摘。

English

This study quantitatively analyzes the impact of generative AI on consumer discovery, decision-making, and digital marketing ecosystems. Based on responses from 420 participants, it confirms that AI-powered systems improve information accessibility, personalization, customer interaction, and operational efficiency, while also identifying ethical concerns such as data privacy and algorithmic bias.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本論文はGX分野に直接関連しないが、日本企業がマーケティングにAIを導入する際の示唆を含む。日本の統合報告書やESG開示ではAI活用は重要テーマではないが、消費者の気候変動に対する意識変容などへの応用可能性はある。

In the global GX context

While not directly related to decarbonization, this paper offers general insights into AI's transformative role in marketing ecosystems. For global GX practitioners, it highlights how AI can shape consumer behavior, which is relevant for designing climate communication strategies, though the paper itself lacks an ESG focus.

👥 読者別の含意

🔬研究者:Useful for understanding AI's general impact on consumer behavior and digital marketing workflows.

🏢実務担当者:Marketing teams can learn about AI-driven personalization, automation, and ethical risks.

📄 Abstract(原文)

The rapid evolution of generative artificial intelligence (AI) significantly transformed consumer discovery, decision-making behaviour, and digital marketing ecosystems across digital platforms. This study examined the influence of AI-powered technologies on online consumer interactions and marketing transformation in contemporary digital environments. The research investigated the role of conversational AI, recommendation systems, predictive analytics, and automated content generation in improving personalized consumer experiences and marketing efficiency. A quantitative research design was adopted, and primary data were collected from 420 respondents consisting of digital consumers and marketing professionals through a structured questionnaire. Statistical analysis revealed high respondent agreement regarding the impact of generative AI on consumer discovery processes (M = 4.24, SD = 0.61), consumer decision-making behaviour (M = 4.18, SD = 0.64), and digital marketing ecosystem transformation (M = 4.36, SD = 0.56). The findings indicated that AI-powered systems improved information accessibility, personalized engagement, customer interaction, and operational efficiency within digital marketing platforms. The study also identified ethical concerns related to data privacy, transparency, misinformation, and algorithmic bias that influenced consumer trust and technology acceptance. The results confirmed that generative artificial intelligence fundamentally reshaped digital consumer behaviour and modern marketing communication systems. 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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。