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Evaluation Of Cross-City Service Quality Of Rivers Package Logistics Based On Fuzzy Comprehensive Evaluation Method

Posted on:2018-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y ZhongFull Text:PDF
GTID:2359330515493472Subject:Applied Statistics
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In theera of "big data" and the Internet economy intertwined,in the daylazy economy prevailing and the home service increasingly,fierce competition continue to stimulate the promotion of products and services,consumer demand for optional services more and more,they hope toenjoy more personalized service.So cross-city package logistics model with high efficieney,low-cost and making full use of social idle resources began to enter the public view.In September 29,2015,the executive meeting of the State Council decided to express the professional skills of salesman no longer serve as a necessary condition for the administrative examination and approval of the Department,that is,the courier is no longer required professional qualifications.The decision to eliminate the cross city crowdsourcing logistics legal barriers,so that the city's crowdsourcing logistics enterprises can continue to expand,part-time free courier team will continue to grow,crowdsourcing logistics will usher in a period of rapid development.The city is a public logistics crowdsourcing logistics and the continuation of the continuation of the development,at this stage there are many problems in the quality of service across the city crowdsourcing.The Crowdsourcing logistics is developed in the O2 O mode,is a new type of logistics distribution mode,a trend of rapid growth time is not more than one year,the lack of industry standards and service quality management standard.In the era of more and more attention to the customer experience,cross city crowdsourcing logistics in the implementation of inter city delivery process,no matter which link has a problem,will affect the customer experience,and thus affect the customer evaluation.Therefore,the current study of cross-city package logistics model of service quality issues,has become the mainstream of social adaptation.Therefore,the current research on the service quality of inter city crowdsourcing logistics model has become the mainstream of society.This paper includes the following aspects: firstly,considering the characteristics of inter city Crowdsourcing logistics is not controllable and safety,analyzes the difference between the inter city Crowdsourcing logistics and traditional logistics,by drawing on previous research results on the Crowdsourcing logistics service quality,reference experts and consumers' opinions and summarized the influence of theinfluence factors of China's Cross City Crowdsourcing logistics.Secondly,based on the latitude of the SERVQUAL model,the 5 dimensions of the evaluation of the service quality of the public service in the city are put forward,such as security,reliability,assurance,timeliness and responsiveness.Starting from the main services,will cross the city Crowdsourcing logistics service quality system is divided into information quality,logistics service center,the quality of logistics service quality index system of three subsystems,determined by field survey and questionnaire.Then,the fuzzy comprehensive evaluation model and the three sub system model of the service quality of the public service are established.Finally,the fuzzy comprehensive evaluation model is established in T company,through the design of questionnaires,questionnaires,questionnaires,data collection and statistical analysis,the empirical analysis of the sample data.On T,fuzzy comprehensive evaluation,make corresponding improvement measures according to the empirical results,and provide a reference basis for T company to improve the cross city Crowdsourcing logistics service quality,and verify the rationality and operability of the fuzzy comprehensive evaluation model of the construction of the inter city Crowdsourcing logistics service quality.
Keywords/Search Tags:cross city crowdsourcing logistics, service quality evaluation, analytic hierarchy process, fuzzy comprehensive evaluation method
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