| Nowadays,we have entered the era of the Internet of Everything。In recent years,the smart home industry has entered a stage of rapid development,but the current industry development is still faced with many development problems such as low recognition and acceptance,which seriously restricts the healthy development of the smart home industry.Aiming at the current situation and pain points of the smart home industry,this research combines the theory of customer perceived value and user acceptance,and is based on a mature model,namely the UTAUT(Unified Theory of Acceptance and Use of Technology)model.On the basis of the four core variables of ease of use,social influence and perceived convenience,add perceived price,perceived risk(data privacy),scalability(ecological and standard protocols,i.e.compatibility)and brand image(quality and installation)four influencing variables,plus two control variables of age and gender,supplemented and improved the UTAUT model,and constructed the research model of this paper.The purpose is to explore the key factors that affect consumers’ willingness and behavior to use smart home,as well as the differences in the willingness of users with different attributes,so as to promote the sustainable development of the smart home industry on the basis of understanding consumer behavior and needs,and then help enterprises to better formulate user-centered product development and market development strategies.In this study,352 sample data were obtained by distributing questionnaires.First,descriptive statistical analysis was carried out on the basic information of consumers,such as gender,age,education level,etc.,and then the data were analyzed by exploratory and confirmatory factor analysis methods with the help of SPSS software.The reliability test and validity test were carried out,and finally the structural equation model was solved by AMOS software.The study found that factors such as willingness to use,perceived convenience,scalability,perceived ease of use,brand image,perceived usefulness,and social influence have a positive and significant effect on the user acceptance behavior of smart homes,and the effect of the influence decreases in turn.In addition,scalability is conducive to improving users’ perceived usefulness and perceived convenience of smart homes;while perceived price and perceived risk have a significant negative impact on users’ willingness to use smart homes;Receptive behavior varies significantly by gender and age.On the basis of the above empirical analysis,the main factors affecting users’ acceptance of smart products are analyzed and discussed,and the key factors restricting the development of the emerging industry of smart home are identified and verified,providing a scientific basis for product development and precision marketing in the industry. |
