Abstract
Building consumer trust through effective communication of product quality is essential for brand success. This research examines how different product levels influence trust formation, utilizing the hierarchy-of-effect model (HEM) as a framework. A mixed-methods approach was employed, incorporating qualitative insights from focus groups and expert interviews to conceptualize relevant scales. Subsequently, quantitative data from 265 Bangladeshi consumers was collected and analyzed using a PLS-based structural model. The study reveals that trust develops incrementally, from awareness to purchase, with varying levels of importance attributed to different product levels across these stages. The findings validate the HEM framework and demonstrate its applicability in understanding trust development at the product level. These insights hold significant implications for marketing professionals, informing strategic decisions related to product design, advertising, and overall product development
Original language | English |
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Title of host publication | AI for Sustainable Marketing :Bridging Innovation and Responsibility |
Editors | Denni Arli, Linda Robinson |
Publisher | ANZMAC |
Pages | 1-4 |
Number of pages | 4 |
Publication status | Published - 25 Nov 2024 |
Event | ANZMAC 2024: AI for Sustainable Marketing: Bridging Innovation and Responsibility - https://www.anzmac2024.com/, Hobart, Australia Duration: 2 Dec 2024 → 4 Dec 2024 |
Conference
Conference | ANZMAC 2024 |
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Country/Territory | Australia |
City | Hobart |
Period | 2/12/24 → 4/12/24 |