Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jakhodia, Yash; Gupta, Tanishqa; Singh, Twinkle Title A name given to the resource Impact of artificial intelligence on consumer online purchase intention Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Multi-Industry Digitalization and Technological Governance in the AI Era;pp.297-316 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1681-9.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1681-9.ch014</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002362209?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002362209?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jakhodia Y., Christ University, Delhi NCR, India; Gupta T., Christ University, Delhi NCR, India; Singh T., Christ University, Delhi NCR, India Description An account of the resource Artificial intelligence (AI) is rapidly weaving itself into the fabric of online shopping as the digital landscape evolves, having a significant impact on consumer online purchase intention (COPI). This influence manifests itself in a variety of ways, ranging from personalized product recommendations curated by AI algorithms to seamless user experiences (UX) crafted through AI-driven optimization. Recommendation engines anticipate our desires by analyzing previous purchases and browsing behavior, relieving decision fatigue, and potentially nudging us towards that coveted purchase. Chatbots and virtual assistants, tireless digital companions, provide 24-hour support, increasing convenience and accessibility and thus increasing COPI. This AI-infused journey, however, is not without its challenges. Concerns about data privacy, algorithmic bias, and the ambiguity of AI decision-making can erode consumer trust, potentially impeding COPI. Ethical concerns about data manipulation, discrimination, and unfair data practices raise red flags, calling for transparency and responsible AI implementation. The key to unlocking a sustainable future for e-commerce is striking the right balance between harnessing the power of AI and mitigating its potential pitfalls. E-commerce companies must prioritize trust by being transparent, ensuring responsible AI practices, and confronting ethical concerns head on. Only then will they be able to harness AI's transformative power to foster a thriving online shopping environment in which COPI thrives alongside consumer trust and well-being. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731683-3; 979-833731681-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online