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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Last-Mile Delivery Optimization and Consumer Perception: A Marketing and Logistics Integration Perspective

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2025, v.23 no.6, pp.13-22
https://doi.org/10.15722/jds.23.06.202506.13
Altug OCAK (Vocational School, Istanbul Beykent University)

Abstract

Purpose: This research seeks to investigate the impact of last-mile delivery efficiency (LDE) on consumer perceptions of service quality (PSQ) and specifically the dual role of consumer time sensitivity (CTS) as a mediator and moderator of this impact. As the strategic significance and complexity of last-mile delivery in e-commerce have grown, this research combines marketing and logistics viewpoints. Research design, data and methodology: There was a quantitative online survey of 310 Turkish e-commerce consumers through a purposive sampling technique. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to examine the structural relationships among constructs. The measurement items were adapted from existing scales and were examined for reliability and validity. Results: The findings reveal that LDE positively affects CTS and PSQ. Furthermore, the effect of LDE on PSQ is mediated by CTS. CTS negatively moderates the effect, indicating that time-sensitive customers can be ever more demanding, diluting the positive impact of delivery efficiency. Conclusions: The results offer managerial and theoretical contributions. Theoretically, the research develops Service-Dominant Logic and Expectancy-Disconfirmation Theory applications within logistics settings. Managerially, it emphasizes the need to manage time-based consumer expectations by real-time delivery communication and personalized options.

keywords
Last-Mile Delivery, Service Quality, Consumer Time Sensitivity, Logistics Marketing, Distribution Science
Received
2025-05-17
Revised
2025-05-28
Accepted
2025-06-05
Published
2025-06-30

The Journal of Distribution Science