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

Author:

Vrhovac Vijoleta1ORCID,Dakić Dušanka1,Milisavljević Stevan1,Ćelić Đorđe1ORCID,Stefanović Darko1,Janković Marina1ORCID

Affiliation:

1. Department of Industrial Engineering and Engineering Management, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia

Abstract

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.

Funder

Ministry of Science, Technological Development, and Innovation

Faculty of Technical Sciences, University of Novi Sad

Publisher

MDPI AG

Reference160 articles.

1. E-Commerce as a Tool for the Development of Small Business;Demiroglu;SHS Web Conf.,2021

2. E-Commerce: Advantages and Limitations;Taher;Int. J. Acad. Res. Account. Financ. Manag. Sci.,2021

3. Technology Acceptance Factors of E-Commerce among Young People: An Integration of the Technology Acceptance Model and Theory of Planned Behavior;Gallegos;Heliyon,2023

4. Literature Review of Emerging Trends and Future Directions of E-Commerce in Global Business Landscape Literature Review of Emerging Trends and Future Directions of e-Commerce in Global Business Landscape;Sergi;World Rev. Entrep. Manag. Sustain. Dev.,2019

5. Understanding the Consumer Satisfaction of the “Last-Mile” Delivery of E-Business Services;Liu;IFIP Adv. Inf. Commun. Technol.,2019

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