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Empirical Study On The Influencing Factors Of VR Safety Experience Training Adoption In Construction Enterprises Based On UTAUT-TOE Model

Posted on:2020-06-25Degree:MasterType:Thesis
Country:ChinaCandidate:P WangFull Text:PDF
GTID:2381330599454720Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Currently,the safe production situation in China's construction industry is still grim.One of the keys to improving the safe production management in the construction industry is to strengthen the safety education and training for construction workers.Traditional education and training methods have gradually failed to meet the requirements of modern safety education due to lack of real self-experience.Therefore,the safety education and training methods for construction urgently need to be reformed and innovated.The rapid development of Virtual Reality(VR)technology has brought new opportunities and challenges to safety education and training.VR safety experience training impresses users with its advantages of simulating real construction site,rich experience training content,good effect and high safety.Though the advantages of this new training method are very obvious,the application level in China's construction industry is still not widespread.Obviously,it is necessary to study the factors affecting the adoption of VR safety experience training.Therefore,the paper attempts to take the construction enterprise,the leader of safety education and training in the construction industry,as the starting point,using literature research,research interviews,questionnaire surveys and statistical analysis to conduct in-depth research on the impact mechanism of VR safety experience training adoption,thus providing useful guidance for promoting the development and innovation of this training method in the construction industry.Firstly,the paper defines the concept and connotation of VR safety experience training for building construction,analyzes the types and advantages of existing VR safety experience projects in detail,and also makes a comprehensive comment on the research status of VR education and the IT Adoption theory.Secondly,on the basis of the characteristics of VR technology and construction safety education and training,the paper chooses the revised UTAUT-TOE model to apply to the study of the adoption of VR safety experience training,constructs the theoretical model of the adoption of VR safety experience training for construction enterprises,and designs questionnaires to investigate.Then,the paper analyzes 337 valid questionnaires collected and adopts structural equation model to verify the research hypothesis.The research conclusions are as follows:(1)Performance expectation,effort expectation,organizational factors and enterprise innovation will directly affect adoption intention;(2)Innovation of enterprises,characteristics of VR technology and environmental factors will indirectly affect adoption intention;(3)The effect of enterprise innovation on adoption intention is the largest,"enterprise innovation--->adoption intention" is the most critical path."VR technology characteristics--->performance expectations--->adoption intention" is also a path that cannot be ignored.(4)Adoption intention,enterprise innovation and organizational factors will directly affect adoption behavior.Apart from adoption intention,other factors will indirectly affect adoption behavior."organizational factors--->adoption behavior","Adoption intention--->adoption behavior","Enterprise innovation--->organizational factors--->adoption behavior" are three very important influence paths;(5)Judging from the positive and negative effects,all are all positive effects.Finally,in view of the adoption of VR safety experience training for construction enterprises,the paper puts forward relevant countermeasures and suggestions from the perspectives of construction enterprises,suppliers of VR products and the government.
Keywords/Search Tags:VR, Safety education and training, Influencing factors of adoption, UTAUT-TOE model, Structural equation model
PDF Full Text Request
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