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Research On The Users Of Smart Home System Under Cloud Service Mode

Posted on:2019-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:Q YangFull Text:PDF
GTID:2429330566486695Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Recently,people advocate a more intelligent life style,smart home is no longer exclusive to the high-income class,it deeply affect people's life more and more.Compared to smart items,smart home system includes multiple smart devices,it can integrate smart home subsystems,allocate resources according to the user needs,and provide users with intelligent services covering all aspects of life.Users can order the corresponding smart home subsystem according to their own needs and control it through various devices.The system has the ability to store huge amounts of data,and after in-depth analysis,it can predict user behavior more accurately and make the service more intelligent.Compared with the foreign smart home industry,China's smart home field is still in the preliminary stage of development,the general public's acceptance of smart home(especially the smart home system)needs to be further improved.Reviewing the existing literature by domestic and foreign scholars,there is very little literature on the user's acceptance behavior of the cloud service smart home system.This paper studies the user's acceptance behavior to the cloud service smart home system,from the user acceptance behavior,perceived risk,self-efficacy and other theories,this paper studies the influence factors and the extent of the user's use of the smart home system.Based on the results of the empirical analysis,the paper puts forward the countermeasures and suggestions.On the basis of the UTAUT model,the author added three variables of service,perceived risk and self-efficacy,referring to the domestic and foreign mature scale design questionnaire.After the pre investigation,the questionnaire was revised,and 308 valid questionnaires were finally recovered.In this paper,SPSS software was used to analyze the reliability and validity of the recovered data,and the research model was analyzed and corrected by Amos software,the conclusion is: performance expectations ? services ? social impact ? effort expectations ?self-efficacy and perceived risk have a diminishing effect on the user's willingness to use,perceived risk has a negative effect on the use intention,the influence of the remaining variables is positive,the use of intention and promotion factors have a significant impact on the user's use behavior.There is no significant influence between the new variable self-efficacy and performance expectation?effort expectation.This paper also discusses the regulation effect of gender,age and different subsystems on user behavior,male and young groups have a higher level of reception for smart home systems,when users make choices,their focus on smart home systems is different based on their own needs.The sixth chapter,according to research conclusions,this paper puts forward countermeasures and suggestions about the development of the smart home market,hoping to improve the quality of products and services of the enterprise and attract more potential users use has positive significance.At last,the author puts forward the deficiency and prospect of this research,hoping to provide some reference for scholars to carry out research on intelligent home users.
Keywords/Search Tags:the cloud service, smart home system, technical acceptance model, user acceptance behavior
PDF Full Text Request
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