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Research On The Influencing Factors Affecting The User' Continuance Intention When Using Smart Courier Cabinets

Posted on:2021-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:H X ChangFull Text:PDF
GTID:2439330614459893Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of e-commerce,online shopping has become an indispensable part of people's daily life.While e-commerce and online shopping have brought convenience to people's lives,they have also exacerbated the surge in express delivery.Especially in recent years,the express delivery business has achieved a leap in growth.At this stage,there are more than 140 million parcels per day on average.Delivery by courier is required,and the pressure on terminal delivery is huge.Traditional home delivery method often has low first-time delivery success rates,high delivery costs,and a large impact on the environment.As a device that provides 24 h self-service receipt and shipping services,intelligent express cabinet is accepted by more and more express enterprises and end customers with its advantages of high flexibility,low failure rate and high security.However,judging from the current development of domestic intelligent express cabinets,there are few outlets in express cabinets,uncertain profit models,and low utilization rates.How to increase the continuous use intention of couriers has become an urgent issue in the development of intelligent express cabinets.Under this background,this dissertation takes couriers and consumers as the research objects,and conducts an empirical study on the factors that influence the users' willingness to use the intelligent express cabinet.Through combing the relevant literature at home and abroad,this dissertation takes the technology acceptance model as the starting point,combined with the actual situation of the courier using the smart courier,introduces three factors of perceived cost,price awareness and user satisfaction,and constructs the theoretical model of courier' willingness to use intelligent express cabinets continuously.Besides,this dissertation takes customer perceived value as the starting point,combined with the actual situation of consumers using intelligent express cabinets,introduces two elements of price awareness and user satisfaction,and constructs consumers 'willingness to use smart express cabinets.Based on the theoretical model constructed,this dissertation designs a questionnaire with reference to the mature scales of relevant domestic and foreign literatures and the characteristics of the intelligent express cabinet.After electronically processing the collected data,SPSS 24.0 and Smart PLS 3.0 software are used to verify the theoretical model and research hypothesis.The experimental results show that,from the perspective of couriers,the technology acceptance model still has good applicability and interpretation in the field of intelligent express cabinets;perceived cost can have an impact on continued willingness to use through price cognition;users with education and monthly income Features have a significant impact on the express courier's willingness to use continuously;user satisfaction is a key factor that affects the express courier's willingness to use continuously.From the perspective of consumers,the perceived benefit elements in customer perceived value,service quality and user experience can have an impact on continued willingness to use by affecting user satisfaction;perceived cost can have an impact on continued willingness to use through price perception;user satisfaction is the key factor affecting the intention of continuous use of consumers.Finally,combined with the results of empirical testing and the actual situation of couriers and consumers using smart courier cabinets,it provides some reference opinions and suggestions for promoting the sustainable development of smart courier cabinets and how to improve the users' willingness to use continuously.
Keywords/Search Tags:Continuance intention, Intelligent express cabinets, Technology acceptance model, Customer Perceived Value
PDF Full Text Request
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