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Open AccessArticle

Analyzing Service Quality Evaluation Indexes of Rural Last Mile Delivery Using FCE and ISM Approach

1
College of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China
2
Institute of Logistics Science and Engineering, Shanghai Maritime University, 1550 Haigang Ave, Shanghai 201306, China
3
School of Transportation, Southeast University, Si Pai Lou 2#, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Information 2020, 11(6), 327; https://doi.org/10.3390/info11060327
Received: 14 May 2020 / Revised: 11 June 2020 / Accepted: 16 June 2020 / Published: 18 June 2020
(This article belongs to the Special Issue Green Marketing)
The advent of e-commerce has led to a rapid acceleration of rural logistics development in China. To enhance green and sustainable development of rural logistics, it is necessary to improve the service quality of the rural last mile delivery and analyze service quality evaluation indexes. An integrated methodology combing fuzzy comprehensive evaluation (FCE) and the interpretative structural model (ISM) is presented in the current paper to reveal the relationship between the service quality evaluation indexes of the rural last mile delivery. A total of 18 logistics service quality evaluation indexes in five dimensions are selected. The FCE is used to measure the service quality of rural delivery in an empirical research area, and the weight of each evaluation index is assigned by regression analysis. The ISM is adopted to judge the hierarchical structure of indexes, and a five-layer hierarchy is obtained. The results show that it is necessary to first focus on improving the evaluation indexes of accuracy of goods arrival and timely customer service response. In the case of Shunfeng Express, the company needs to additionally improve the timeliness and rationality of damaged or lost processing goods. Some countermeasures and suggestions are put forward. The proposed integrated method helps to reveal the key service quality evaluation indexes and the areas needing improvement. The use of regression analysis within the FCE method allows the estimation of weights in a relatively objective way. This research provides theoretical support for improving the service quality and customers’ satisfaction of the rural last mile delivery, and enhancing the green and sustainable development of rural logistics. View Full-Text
Keywords: rural last mile delivery; green and sustainable development; service quality; customers’ satisfaction; evaluation indexes; fuzzy comprehensive evaluation; interpretative structural model rural last mile delivery; green and sustainable development; service quality; customers’ satisfaction; evaluation indexes; fuzzy comprehensive evaluation; interpretative structural model
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Jiang, X.; Wang, H.; Guo, X. Analyzing Service Quality Evaluation Indexes of Rural Last Mile Delivery Using FCE and ISM Approach. Information 2020, 11, 327.

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