Crowdsourcing integration on the last mile delivery platform considering floating population data

Kim, Jaesung; Kweon, Sang Jin; Hwang, Seong Wook; Lee, Seokgi

doi:10.1016/j.eswa.2024.123312

Cited by 2 publications

(1 citation statement)

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“…Most of the work published on the last-mile delivery processes is focused on exploring logistics systems [44][45][46], information technology application [47][48][49] and cost efficiency [50,51].…”

Section: Introductionmentioning

confidence: 99%

The Factors Influencing User Satisfaction in Last-Mile Delivery: The Structural Equation Modeling Approach

Vrhovac,

Dakić,

Milisavljević

et al. 2024

Mathematics

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The primary goal of this research is to identify which factors most significantly influence customer satisfaction in the last-mile delivery (LMD) process. The sample comprised 907 participants (63.4% female) with a mean age of 34.90. All participants completed three questionnaires regarding LMD, customer satisfaction, and trust in courier service. Furthermore, participants answered questions related to significant aspects of the delivery process: speed, price, and courier call before delivery. To determine which factors most significantly influence customer satisfaction in LMD, structural equation modeling (SEM) was applied. The tested SEM model showed a good fit. The results indicated that within the LMD dimension, visual appeal was a significant predictor in a negative direction, and all other LMD dimensions (except parcel tracking) were positive and significant predictors of customer satisfaction. Trust in courier service, delivery price, speed, and courier call before delivery were statistically significant predictors of customer satisfaction in last-mile delivery, all in a positive direction.

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