Factors affecting customer satisfaction with logistics service quality in Nam Tu Liem District

In the face of intensifying competition from international logistics providers, customer satisfaction has emerged as a crucial determinant of success for domestic logistics firms in Vietnam, particularly in Nam Tu Liem District. This study investigates the key factors influencing customer satisfaction with logistics service quality in the district. Using a quantitative approach, data were collected from 137 logistics service users through structured questionnaires. The SERVQUAL model was adapted and validated using Cronbach's Alpha, Exploratory Factor Analysis (EFA), correlation analysis, and multiple linear regression. The findings reveal five significant factors—service capacity, price, information quality, trust, and tangibles—that positively affect customer satisfaction. These results offer a reliable measurement framework for logistics service evaluation and provide practical implications for enhancing customer satisfaction in Vietnam's growing logistics industry.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17441965
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Factors affecting customer satisfaction with logistics service quality in Nam Tu Liem District

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Factors affecting customer satisfaction with logistics service quality in Nam Tu Liem District

article en

Abstract

In the face of intensifying competition from international logistics providers, customer satisfaction has emerged as a crucial determinant of success for domestic logistics firms in Vietnam, particularly in Nam Tu Liem District. This study investigates the key factors influencing customer satisfaction with logistics service quality in the district. Using a quantitative approach, data were collected from 137 logistics service users through structured questionnaires. The SERVQUAL model was adapted and validated using Cronbach's Alpha, Exploratory Factor Analysis (EFA), correlation analysis, and multiple linear regression. The findings reveal five significant factors—service capacity, price, information quality, trust, and tangibles—that positively affect customer satisfaction. These results offer a reliable measurement framework for logistics service evaluation and provide practical implications for enhancing customer satisfaction in Vietnam's growing logistics industry.

Zenodo (CERN European Organization for Nuclear Research)
Hanoi University of Industry (VN)
Industry, innovation and infrastructure
Openalex Percentile: Top 51%
Artificial Intelligence in Healthcare and Education
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