W. R. Fitriani, Ikut Tri Handoyo, Puji Rahayu, D. I. Sensuse
{"title":"Intention to use smart city system based on social cognitive theory","authors":"W. R. Fitriani, Ikut Tri Handoyo, Puji Rahayu, D. I. Sensuse","doi":"10.1109/ICACSIS.2016.7872747","DOIUrl":null,"url":null,"abstract":"Through a mobile application to respond citizen's grievance/complain, called QLUE, the government of Jakarta, Indonesia, begins to implement smart city concepts. However, QLUE usage and adoption level is still low compared to the number of population. Therefore, this study examined the determinants of citizen's behavioral intention to use smart city system (QLUE) based on the extended social cognitive theory (SCT) model. Data collection was conducted using questionnaire to QLUE users. The adopted model was examined using Partial-Least Square (PLS). The results showed that behavioral intention to use QLUE is positively influenced by affect and social influence. On other hand, the negative relationship between anxiety and behavioral intention is not supported in this study. Limitations and implications of the study are also presented.","PeriodicalId":267924,"journal":{"name":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS.2016.7872747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Through a mobile application to respond citizen's grievance/complain, called QLUE, the government of Jakarta, Indonesia, begins to implement smart city concepts. However, QLUE usage and adoption level is still low compared to the number of population. Therefore, this study examined the determinants of citizen's behavioral intention to use smart city system (QLUE) based on the extended social cognitive theory (SCT) model. Data collection was conducted using questionnaire to QLUE users. The adopted model was examined using Partial-Least Square (PLS). The results showed that behavioral intention to use QLUE is positively influenced by affect and social influence. On other hand, the negative relationship between anxiety and behavioral intention is not supported in this study. Limitations and implications of the study are also presented.