Academic Journal of Business & Management, 2026, 8(2); doi: 10.25236/AJBM.2026.080216.
Heliang Wei, Kewang Li, Yaqing Sheng
Rutgers-Newark Institute at NENU, Northeast Normal University, Changchun, 130117, China
This paper delves into the region-specific challenges of express-delivery services in Jilin’s universities. Drawing on SERVQUAL and LSQ frameworks, it constructs a comprehensive evaluation system for campus courier services. Questionnaires were administered at 7 universities in Jilin Province, yielding 149 valid responses. Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation Method (FCEM) were employed for data analysis. The results reveal significant deficiencies across several key indicators, most notably in parcel integrity and the timeliness of returns/exchanges. Moreover, a strong positive correlation (r=0.73) was found between service pressure and room for improvement during winter. In response, an innovative “Service- Technology-Synergy” three-dimensional optimization strategy is proposed to enhance overall service quality. This strategy integrates service improvements, technological applications, and inter-departmental collaboration. The findings offer practical guidance and theoretical value not only for Jilin’s universities but also for logistics upgrades across the wider Northeast China industrial base.
University express delivery, Service quality, Campus express delivery service quality evaluation system, Fuzzy comprehensive evaluation
Heliang Wei, Kewang Li, Yaqing Sheng. Research on Quality Evaluation of Campus Express Service in Jilin Province Based on SERVQUAL Model. Academic Journal of Business & Management (2026), Vol. 8, Issue 2: 120-128. https://doi.org/10.25236/AJBM.2026.080216.
[1] Cai L, Liu Y, Lai P L, et al. Assessing logistics service quality in omni-channel retailing through integrated SERVQUAL and Kano model[J]. Systems, 2024, 12(11): 466.
[2] Hui G, Al Mamun A, Reza M N H, et al. An empirical study on logistic service quality, customer satisfaction, and cross-border repurchase intention[J]. Heliyon, 2025, 11(1).
[3] Jing Rui Rong, Wei Peng, Zhao Yumeng, et al. Research on service quality management of express terminal outlets-A case study of a certain outlet of T Express in Xicheng District of Beijing [J]. Logistics Technology, 2023,46(02):50-54.
[4] Feng Bianying, Xin Yaojiao. Investigation and analysis of the quality of express logistics service in Datong [J]. Journal of Yuncheng University, 2019,37(06):22-27.
[5] Luo Yin, Wu Wenyan. Research on the quality evaluation of express delivery service on university campuses-Taking the College of Arts and Sciences of Hubei Normal University as an example [J]. China Logistics and Procurement, 2025,(10):49-50.
[6] Li Jiachen, Li Xiyang, Chen Ping, et al. Spatial Layout Optimization Analysis of Campus Express Delivery Based on Spatial Syntax: A Case Study of Longzihu Campus of North China University of Water Resources and Hydropower [J]. Green Science and Technology, 2024,26(15):50-56.
[7] Peng Mingxuan, Wu Xinghua. Research on the Influencing Factors and Promotion Strategies of the Satisfaction Degree of Campus Express Service in Colleges and Universities, Taking huaihua university as an Example [J]. Modern Business, 2023,(12):12-15.
[8] Sun Qianqian, Miao Chenglin. Research on Logistics Efficiency in Northeast China Based on Three-stage SBM Model [J]. journal of suihua university, 2022,42(11):43-47.
[9] Liu H, Zhao J, Zhou L, et al. Intelligent performance evaluation of e-commerce express services using machine learning: A case study with quantitative analysis[J]. Expert Systems with Applications, 2024, 240: 122511.