Drone-based delivery services have emerged as a promising innovation for enhancing last-mile logistics through faster deliveries, improved accessibility, and reduced environmental impacts. However, the successful implementation of this technology depends largely on consumer acceptance. Existing studies examining drone delivery adoption remain fragmented, often focusing on a limited set of determinants or relying on a single theoretical perspective. Accordingly, this study reviews and synthesizes the existing literature to identify the key factors influencing consumers’ attitudes toward drone-based delivery services. Drawing on insights from the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, Diffusion of Innovation Theory, Task–Technology Fit Theory, and Privacy Calculus Theory, an integrated conceptual framework is developed. The review identifies perceived usefulness, perceived ease of use, task–technology fit, relative advantage, speed expectancy, hedonic motivation, environmental friendliness expectancy, social influence, privacy risk, and safety risk as the principal determinants of consumer attitudes toward drone delivery services.