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The Research To Influence Factors Of Second-hand Goods Online Trading Volume

Posted on:2019-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:S H ZhangFull Text:PDF
GTID:2359330542498916Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the rapid development of e-commerce and the popularity of consumerism,people have piled up a lot of unused goods.The rise of Internet + mode,sharing economy and the development of mobile Internet,The professional second-hand goods trading platform which solves the problem of idle goods accumulation arises at the historic moment,influence and penetration of the Idlefish and Transter APP is the largest.Idle items exchange is an important part in the economy,not only can promoting the second-hand goods trading is beneficial to the people life,but also can meet the demands of the development of green economy development of our country,which has important social significance.Although the state strongly advocates the development of sharing economy,the amount of second-hand goods in Idlefish and Transfer apps is not very high.Therefore,this paper studies the influence factors of online second-hand goods turnover.What are the factors that affect second-hand goods transactions? What are the fundamental factors? What are the indirect factors? What are the direct factors? What is the relationship between the influence factors of online second-hand goods turnover? This paper adopts various methods to solve the above problems,and puts forward effective Suggestions to improve the turnover of online second-hand goods.In this paper,five factors influencing the turnover of online second-hand goods are obtained through reading relevant theories and user interviews.The five influencing factors were stratified by the interpretation structure model method,paper gets conclusion of online second-hand goods trading volume fundamental factors,indirect and direct factor.Based on the influence factor hierarchy,this paper constructs the model of influencing factors of online second-hand goods volume and puts forward the path hypothesis.The questionnaire was designed to collect data,and the reliability and validity of the questionnaire were tested with SPSS.Finally,using the AMOS software,the structural equation model(SEM)was used to test the model matching degree,and the parameter estimation was used to verify the rationality of the hypothesis.This paper research conclusion of online second-hand goods trading volume influence factors are second-hand goods,second-hand goods trading platform,customer perceived value and customer perceived risk,consumers purchase intention.Second-hand goods are the fundamental factors that affect the transaction of second-hand goods online.The second-hand goods trading platform Idlefish and Transfer APP are the indirect factors that influence consumers to buy second-hand goods.Consumers' perceived value,perceived risk of consumers,and consumer purchase intention are the direct factors affecting the transaction of second-hand goods.Second-hand goods have positive influence on consumers' perceived value,consumer purchase intention and second-hand goods trading platform.Second-hand goods trading platform has positive influence on consumers' perceived value and consumers' purchase intention.Second-hand goods and second-hand goods trading websites have negative influence on the perceived risks of consumers.The perceived value of consumers is positively correlated with the willingness of consumers to buy second-hand goods.The perceived risk of consumers is negatively correlated with the willingness of consumers to buy second-hand goods.Based on the above conclusions,it can be concluded that the turnover of online second-hand goods is to increase consumers' willingness to purchase second-hand goods.And improving consumer purchase intention may have two ways,one is to ensure the quality of the goods improve the second-hand goods trading platform service,let consumers perceive the value of second-hand goods and second-hand trading platform.Another way is to reduce the risk of consumers trading in second-hand goods.In particular,we should first do the self-government of second-hand goods trading platform,improve the entry threshold of the platform,eliminate the bad sellers and buyers,guarantee the quality of second-hand goods,and crack down on the illegal elements on the platform.Secondly,the government will guide the development of sharing economy,formulate relevant laws and policies,and create a good trading environment for second-hand goods.In the end,improving consumers' awareness of self-protection on Idlefish and Transfer App.
Keywords/Search Tags:Second-hand Goods, Sharing Economy, Interpretative Structural Modeling, Structural Equation Modeling, Influence Factor
PDF Full Text Request
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