Ecolabel products are one approach towards environmental sustainability. Ecolabel programs have been socialized by governments all over the world to reduce environmental harm caused by the daily life cycles of the products that citizens use. The present study was aimed at measuring citizens' behavior intention (BI) regarding ecolabel product usage. An extended theory of reasoned action (TRA), namely that of pro-environmental reasoned action (PERA), is used as the predictor model. A total of 213 questionnaire data, collected from citizens of Indonesia, was analyzed using structural equation modeling. The analysis results show that the PERA model is able to describe 68% of citizens' BI regarding ecolabel product usage. The analysis results also reveal that attitude is a key determinant factor. Several practical suggestions based on the results can be used as input for policy makers and company management to consider in their efforts to increase citizens' BI to use ecolabel products.

The present study was aimed at measuring citizens' behavior intention (BI) regarding mandatory and voluntary pro-environmental programs. Two pro-environmental activities, which consist of an environmental impact assessment (EIA) as a mandatory program and ecolabel products as a voluntary program, were predicted by a pro-environmental planned behavior (PEPB) model. A total of 240 questionnaire data on the EIA subject and 213 questionnaire data on the ecolabel subject were analyzed using structural equation modeling. The analysis results show that the PEPB model is able to describe 60% of BI regarding the EIA subject and 77% of citizen BI regarding the ecolabel product subject. Attitude (AT) was revealed to be the lowest direct influence factor of citizen BI regarding the EIA participation result. For the ecolabel products, AT was explored as the strongest factor. Practical suggestions described in this research can be used as a consideration for company management as well as for policy makers to formulate their efforts to improve citizen BI in order to support voluntary and mandatory pro-environmental programs.

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Working From Home (WFH) technologies has been used and discussed for a long time. The many positive benefits of WFH technologies, including its potential to create a more sustainable work activity, attracted many studies to gain a better understanding of this subject. This study is interested to understand the different factors, including environmental, influencing WFH technologies acceptance in this current shifting situation stimulated by the Covid-19 pandemic. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, employing Environmental Concern, was used. The model was assessed by using the structural equation model. The total of 172 respondents participated in this research. The total of 5 hypotheses was tested. The present study's model is able to predict 57.4% of WFH Technology acceptance. Finally, discussion and recommendations to businesses that are currently taking WFH measures during the Covid-19 pandemic were presented.

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