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Impact of AI-Powered Personalization on Customer Engagement: Exploring the Moderating Role of Customer Demographics

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dc.contributor.author Muhammad Shayan Ibrahim, 01-322222-018
dc.date.accessioned 2024-09-25T07:09:34Z
dc.date.available 2024-09-25T07:09:34Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/18005
dc.description Supervised by Dr. Amjad Masood en_US
dc.description.abstract This thesis examines AI-powered personalization's impact on customer engagement dimensions—absorption, dedication, and vigor. It explores trust's mediating role and the moderating effects of demographics (age and gender). Using a sample of 192 respondents and regression techniques for the analysis, the study finds significant positive relationships between AI personalization and customer engagement, with trust mediating these effects. Age and gender also moderate these relationships. The findings align with previous research, highlighting AI personalization's importance and the need to consider trust and demographics. The study suggests businesses leverage AI personalization, build customer trust, and account for demographic differences to optimize and maximize engagement of customers. en_US
dc.language.iso en en_US
dc.publisher Business Studies en_US
dc.relation.ispartofseries MBA (Mkt);T-11492
dc.subject AI-Powered en_US
dc.subject Personalization en_US
dc.subject Customer Engagement en_US
dc.title Impact of AI-Powered Personalization on Customer Engagement: Exploring the Moderating Role of Customer Demographics en_US
dc.type Thesis en_US


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