Assessment of producer's perspective on the production of environmentally friendly fashion products: a case study in Indonesian natural dyes batik craftsmen.

Batik is well known as an intangible cultural heritage. In Indonesia, batik is produced in several areas, with its own characteristics. The batik production process goes through several stages, in which overall processes require the aid of chemicals. Conventionally, the batik production process results in environmental pollution due to direct waste disposal without any significant processing. Along with the increase in public awareness of environmental protection, the batik dyeing process currently backs to natural dyes. The study was conducted to examine the production intention of natural dyes batik. A total of 209 producers of natural dyed batik became respondents in this study. Data collection was carried out directly through filling out paper-based questionnaires as well as using online forms. The findings of this study revealed that producers' attitude and satisfaction gave significant positive influences on the production intention of natural dyes batik products. Moreover, the findings exhibited the significant effects of social value, quality value, and green value on the attitude and satisfaction of the producer. Attitude was also determined by economic value, but satisfaction was insignificantly affected by economic value. Production intention was strongly predicted by satisfaction and also determined by attitude. The results of this study support in enhancing the concept of natural dyes batik production, which also provide an important role toward sustainable production.

Data modeling positive security behavior implementation among smart device users in Indonesia: A partial least squares structural equation modeling approach (PLS-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. 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.

Data to model the effect of awareness on the success of IT Governance implementation: A partial least squares structural equation modeling approach (PLS-SEM).

This article presents raw inferential statistical data that determine the influence of awareness on the successful implementation of IT Governance. Data were collected from respondents in all regions of Indonesia. Quantitative research methods are used to analyze data. The structured questionnaire was distributed to respondents in all regions of Indonesia who understood the field of IT Governance whose reliability and validity were confirmed. Structural equation modeling (SEM) using Smart PLS software, version 3, is used to present data. SEM path analysis shows an estimate of the relationship of the main constructs in the data. The results obtained from this dataset show a positive relationship between Risk Management, IT Resources, Budget, Stakeholder Involvement, Policy, Business Strategy, Organization, Commitment, Competence, Communication to awareness and consciousness also has a significant influence on the success of IT Governance implementation. However, politics has proven to have a negative and insignificant influence on the awareness and success of implementing IT Governance.