Abstract
The article presents raw inferential statistical data related to understanding the positive security behaviors of smart device users in Indonesia, which was used to determine whether the studied variables were direct or mediating factors. The factors explored include government efforts, technology provider support, privacy concerns, trust, perceived behavioral control, attitudes, and subjective norms. The theory of planned behavior was adopted to develop the proposed model for implementing positive security behaviors. Structured questionnaires were distributed via an online survey to consumers currently using a smartphone or using a smartphone and some other smart device. Furthermore, the respondents were from 19 provinces in Indonesia. The quantitative research method was used to analyze the data. Reliability and validity were confirmed. Structural equation modeling (SEM) using the Smart PLS software version 3 was used to present data. SEM path analysis identified estimates of the relationships of the primary constructs in the data. The outcomes obtained from this dataset demonstrate a direct influence between government efforts, privacy, and perceived behavioral control and performing positive security behaviors. Other variables had positive and significant influences on implementing positive security behaviors, indicating their roles as mediation variables. This data is useful for reference and consideration in the improvement of smart device users’ security behaviors. This data can also provide valuable insights to countries with characteristics that are similar to those of Indonesia.
Highlights
Data accessibilityComputer science (general) Information system Table Chart Figure The researchers developed a questionnaire that included demographic data and research questions related to the variables being investigated, which were factors, such as government efforts, technology provider support, trust, and privacy, as well as attitudes, subjective norms, and perceived behavioral control
Data modeling positive security behavior implementation among smart device users in Indonesia: A partial least squares structural equation modeling approach (PLS-Structural equation modeling (SEM))
The article presents raw inferential statistical data related to understanding the positive security behaviors of smart device users in Indonesia, which was used to determine whether the studied variables were direct or mediating factors
Summary
Computer science (general) Information system Table Chart Figure The researchers developed a questionnaire that included demographic data and research questions related to the variables being investigated, which were factors, such as government efforts, technology provider support, trust, and privacy, as well as attitudes, subjective norms, and perceived behavioral control. The data was acquired by distributing the questionnaire as an online survey to individuals who use a smartphone and individuals who use a smartphone and some other smart device in some regions in Indonesia. The data presents how government efforts, technology provider support, trust, privacy concerns, attitudes, subjective norms, and perceived behavioral control impact smart device users’ positive security behaviors. This information is useful because it can serve as a reference and be considered in the development of measures to improve smart device users’ security behaviors.
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