Increasing environmental awareness among societies is motivating consumers to use green cosmetic products. Green skincare products are the fastest growing sector in the worldwide market compared with other green cosmetic products. However, compared with general cosmetic products, the market share of green cosmetic products in Indonesia is relatively low. The present research investigated consumers’ purchasing intentions toward green skincare products in Indonesia using the pro-environmental reasoned action (PERA) model. A total of 251 female consumers participated in this study. Structural equation modeling was conducted to reveal the relationships between the five factors in the PERA model. The results indicated that perceived authority support (PAS) has a positive effect on perceived environmental concern (PEC). PAS and PEC have positive effects on attitude (AT) and subjective norms (SN), and AT and SN have positive effects on behavioral intention (BI) to purchase green skincare products, with the key factor being attitude. The PERA model was able to describe 62.6% of the BI to purchase green skincare products. Green skincare companies are recommended to produce more green skincare products and market the products by involving public figures and emphasizing the green attributes. Furthermore, we recommend that green skincare companies produce quality and sustainable products using quality processes, and be involved in pro-environmental activity to increase consumer attention to the green skincare products.

The present research explores how the young people maximize their potential in learning based on their generation. The Generation Z is considered as the generation that is still in high school and college education, which made this generation dominated by internet of things. This research is needed to be conducted to minimize the gap between Generation X and Y as the teacher or content providers and Generation Z as the students. A measurement of Generation Z in accepting the technology on learning is conducted by using a behavioral model, namely a unified theory of acceptance and use of technology (UTAUT). A confirmatory factor analysis with structural equation model was conducted, and sampling of Generation Z respondents was performed. The total of 150 respondents’ data was analyzed. The result shows that most of the measured variables have the significant and positive correlations. Facilitation condition factor is explored to be the most dominated factor to affect the Generation Z behavior intention. Several practical implications are discussed.

An ecolabel product is an environmentally friendly substance that can be selected to maintain environmental sustainability. Both developed and developing regions are promoting the use of green products. The current study aimed to know the behavior intention on ecolabel product usage from citizens in developing and developed regions. The extended Theory of Planned Behavior, known as Pro-Environmental Planned Behavior Model (PEPB), was used as the assessment model. Two questionnaire surveys were conducted to extract the necessary information for analyzing user’s behavior intention in two different regions. Taiwan and Indonesia were selected as case studies of developed and developing regions, respectively. Structural Equation Modeling (SEM) was used to analyze the proposed model and the result reveals that the model explains 49% of behavior intention to use ecolabel product in Taiwan’s case and 72% in Indonesia’s case. The findings revealed that attitude (AT) is the key factor to determine the behavioral intention (BI) in both Taiwan and Indonesia. Several practical recommendations based on the finding can be considered as input for the governments and related agencies to persuade manufacturing companies to produce more ecolabel products. Increased citizens’ intention to use ecolabel products help the company to reach broader target market and provide incentives to manufacturing companies to produce more environmentally friendly 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.

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.

We consider the problem of utilizing the parcel locker network for the logistics solution in the metropolitan area. Two-echelon distribution systems are attractive from an economic standpoint, whereas the product from the depot can be distributed from or to intermediate facilities. In this case, the intermediate facilities are considered as locker facilities present in an accessible location in the vicinity of the final customers. In addition, the utilization of locker facilities can reduce the cost caused by the unattended deliveries. The problem is addressed as an optimization model that formulated into an integer linear programming model denoted as the two-echelon vehicle routing problem with locker facilities (2EVRP-LF). The objective is to minimize the cost of transportation with regards to the vehicle travelling cost, the intermediate facilities renting cost, and the additional cost to compensate the customer that needs to travel to access the intermediate facilities. Because of its complexity, a simulated annealing algorithm is proposed to solve the problem. On the other hand, the modelling approach can be conducted by generating two-phase optimization model approaches, which are the p-median problem and the capacitated vehicle routing problem. The results from both methods are compared in numerical experiments. The results show the effectiveness of 2EVRP-LF compared to the two-phase optimization. Furthermore, the simulated annealing algorithm showed an effective performance in solving 2EVRP-LF.