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Research On Performance Improvement Mechanism Of "Internet +" Mobile Phone Recycling Mode

Posted on:2021-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:X M WangFull Text:PDF
GTID:2518306464980219Subject:Management Science and Engineering
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With the continuous progress of technology and the continuous improvement of people's needs,mobile phones have become the daily necessities and Fast-MovingConsumer-Goods.its replacement rate is accelerating,and the number of obsolete mobile phones is increasing rapidly.Due to the features of small volume,strong privacy and high salvage,recycling obsolete mobile phones in regular and efficient way has become a difficult problem in this era.Following the trend of this era,“internet+” enables the mobile phone recycling industry to form a new mode named “Internet+” mobile phone recycling mode,which has become a new hope and a new way to solve the recycling problem.Unfortunately,the operation performance of this mode has been poor since the implementation.Therefore,it has become the focus of social concern to crack the recycling dilemma and promote performance of the recycling mode.For solving the above problems,we start from the operation mechanism of recycling mode,and then explores the influencing factors of recycling mode.Afterwards,the evolutionary game model concerned the main stakeholder is established to explain the poor performance's reasons of the recycling mode.On this basis,we design the performance improvement mechanism and then the m ABM simulation technology is utilized to verify the effectiveness of mechanism design.The research contents involved in this thesis are as follows:1.By describing research background,we introduce the research's questions and explain research significance.And then,previous theoretical researches with respect to “Internet +” recycling mode is concluded to point out the limitations in practical application.On this basis,the relevant literatures about this research are sorted out,mainly including research hotspots of recycling mode,influencing factors and mechanism design,evolutionary game theory and multi Agent-Based-Modeling simulation.2.From the perspective of the functional structure and profit model of this recycling mode,we make a deep comparison of the similarities and differences of typical “Internet+” mobile phone recycling modes,such as MR,C2 C and C2 B by using competitive analysis method.Then we clarify the operation mechanism of the recycling mode,point out the existing problems of the mode and puts forward suggestions on performance improvement,which lays a foundation for analyzing the influencing factors and constructing the game model of the “internet+” recycling mode.3.In this thesis,the web crawler technology is used to obtain public opinion comments on the “internet+” recycling platform and knowledge community.Then we establish the LDA topic model by inputting comments data to get low dimensional topic theme and identify the influencing factors of recycling mode.After that,based on PESTEL analysis framework,the influencing factor system of “Internet+” recycling mode is be proposed,considering the stakeholder and their relationship.4.In this thesis,we aim at designing the performance improvement mechanism of thre “internet+” recycling mode.On the basis of analyzing how the influencing factors impact the revenue between consumers and recyclers,an evolutionary game model is established to research strategy selection between consumers and recyclers.By analyzing its evolutionary stability strategy and stability conditions,the economic reason is revealed.Furtherly,according to the economic reasons,the mechanism of performance improvement is proposed to coordinate the contradiction.For the mechanism of performance improvement,Netlogo software is used to construct m ABM simulation model of the “internet+” recycling mode.Then the effectiveness and applicability of the mechanism were verified by changing the simulation parameters.
Keywords/Search Tags:Recycling mode, Influencing factors, Strategy mechanism design, LDA model, Evolutionary game, mABM simulation
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