Rifki Nur Priyansyah, Ikhsan Fuady, Benazir Bona Pratamawaty
{"title":"Factors influencing acceptance of Indonesian contact tracing APP: Development of the technology acceptance model","authors":"Rifki Nur Priyansyah, Ikhsan Fuady, Benazir Bona Pratamawaty","doi":"10.14254/1795-6889.2023.19-2.7","DOIUrl":null,"url":null,"abstract":"Contact tracing apps for the COVID-19 have been broadly developed worldwide and Indonesia is no exception. The Indonesian application is called PeduliLindungi. This study aimed to provide a comprehensive understading of the public’s intention to use such applications by incorporating trust, trust in government, privacy concerns, and social influence variables as an extension to the technology acceptance model (TAM). A questionnaire was distributed online through social media to attain 371 participants among Indonesian inhabitants based on the convenience sampling method. Descriptive analysis and covariance-based structural equation modeling were used to analyze the data. The results indicated that intention was predicted well by trust, attitude, and social influence. Furthermore, trust in government played a role in predicting the application’s trustworthiness. The government and decision-makers should consider this observation in promoting the PeduliLindungi application, as it could increase its effectiveness.","PeriodicalId":37614,"journal":{"name":"Human Technology","volume":"34 15","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14254/1795-6889.2023.19-2.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Contact tracing apps for the COVID-19 have been broadly developed worldwide and Indonesia is no exception. The Indonesian application is called PeduliLindungi. This study aimed to provide a comprehensive understading of the public’s intention to use such applications by incorporating trust, trust in government, privacy concerns, and social influence variables as an extension to the technology acceptance model (TAM). A questionnaire was distributed online through social media to attain 371 participants among Indonesian inhabitants based on the convenience sampling method. Descriptive analysis and covariance-based structural equation modeling were used to analyze the data. The results indicated that intention was predicted well by trust, attitude, and social influence. Furthermore, trust in government played a role in predicting the application’s trustworthiness. The government and decision-makers should consider this observation in promoting the PeduliLindungi application, as it could increase its effectiveness.
期刊介绍：
Human Technology is an interdisciplinary, multiscientific journal focusing on the human aspects of our modern technological world. The journal provides a forum for innovative and original research on timely and relevant topics with the goal of exploring current issues regarding the human dimension of evolving technologies and, then, providing new ideas and effective solutions for addressing the challenges. Focusing on both everyday and professional life, the journal is equally interested in, for example, the social, psychological, educational, cultural, philosophical, cognitive scientific, and communication aspects of human-centered technology. Special attention shall be paid to information and communication technology themes that facilitate and support the holistic human dimension in the future information society.
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