Throughout the COVID-19 pandemic, students face intolerable mental and physical discomfort when taking online classes, directly impacting their learning motivation and academic performance. Related studies indicated that students had negative sentiments regarding online learning. This may be an alarming notion for students, particularly regarding their learning ability and participation in school. To overcome this nuisance, the primary objective of this study was to examine the factors affecting students’ learning motivation and academic performance during online learning using a novel framework of ergonomic appraisal. A total of 316 respondents answered the online questionnaire using a purposive sampling approach through social media platforms. Ergonomic-based indicators for physical, cognitive, and macro-ergonomics were analyzed simultaneously using partial least square structural equation modeling (PLS-SEM). The results showed that the design of the workstation, the use of LMS, access to technology, teaching delivery, temperature level, and visual learning style were found to significantly influence students’ learning motivation, which then impacts the student’s academic performance. Thus, it is essential for those who are facilitating distance learning to keep in mind the factors that could motivate the student. As a result, this paper becomes an avenue to help appropriately plan the course program to ensure its viability and productively engage the students since online learning is becoming increasingly necessary. Further, this article also provides recommendations and implications on assisting schools, educators, and students in aiding a student’s learning motivation and academic performance.

The large consumption of fast fashion brings many negative environmental impacts. Filipino consumers love and buy fast fashion because it is relatively cheap but trendy, and there are lots of fashionable designs to choose from. Despite the shortage in water supply and disposal issues of fast fashion, people still continue to purchase. The lack of awareness of consumers on sustainable fashion consumption led the researchers to conduct a study that aims to identify factors affecting Filipino consumers’ buying decisions on fast fashion using the combined theory of planned behavior, elaboration likelihood model, and hedonic motivation. A total of 407 participants were gathered through a convenience sampling approach, and the data collected were analyzed using structural equation modeling (SEM). The result shows that attitude towards fast fashion is the highest contributing factor to purchase intention. While social media positively affects purchase intention, sustainability advocacy negatively impacts the consumers’ intention to buy fast fashion. The awareness of sustainability leads to consumption reduction of fast fashion garments. Surprisingly, perceived product price and quality do not show a significant influence on purchase intention. Incorporating sustainability advocacy on social media may be a great strategy to encourage the sustainable consumption of fashion garments. The findings of this study could be a great tool to influence fashion companies and government institutions to promote sustainability awareness and transition marketing strategies to the sustainable consumption of fashion.

The COVID-19 pandemic recently swept the globe, and quarantine sadly compelled most businesses and employees to adapt to the sudden change. Because of this, the employee may face psychological risks like a change in lifestyle, tiredness, burnout, and a drop in job satisfaction. Establishing how each aspect is associated with the job satisfaction of supply chain workers in the Philippines is the main topic of this study. Purposive sampling via an online survey is the non-probability sample method used in this investigation. The target respondents are the logistics company’s employees. Google Forms were used to deliver the self-administered online survey questionnaire. The SEM model was assessed using the hypothesis test’s beta coefficient and R2 findings. The model was proven sufficient to explain or forecast the employee’s loyalty to the organization, stress at work, and job satisfaction. Results of the study revealed that organizational commitment (β = 0.716; p-value < 0.001) had the highest positive association with workers’ job satisfaction, while work stress proved to have a negative association with job satisfaction (β = −0.166; p-value = 0.039). Similarly, job characteristics (β = 0.684; p-value < 0.001) and job involvement (β = 0.189; p-value = 0.009) were also proved to have a strong positive association with organizational commitment, which in turn influences job satisfaction. Finally, lifestyle behavior was found to have a positive association with work stress (β = 0.467; p-value < 0.001) and job burnout (β = 0.369; p-value = 0.001), negatively influencing job satisfaction. As a result, this study can offer supply-chain company personnel more information on the effect of organization commitment, lifestyle behavior, work stress, and job burnout on job satisfaction, which is a key component of job sustainability. Companies must ensure that employees are treated well and meet their demands to promote a sustainable workplace.

Mental health problems have emerged as one of the biggest problems in the world and one of the countries that has been seen to be highly impacted is the Philippines. Despite the increasing number of mentally ill Filipinos, it is one of the most neglected problems in the country. The purpose of this study was to determine the factors affecting the perceived usability of mobile mental health applications. A total of 251 respondents voluntarily participated in the online survey we conducted. A structural equation modeling and artificial neural network hybrid was applied to determine the perceived usability (PRU) such as the social influence (SI), service awareness (SA), technology self-efficacy (SE), perceived usefulness (PU), perceived ease of use (PEOU), convenience (CO), voluntariness (VO), user resistance (UR), intention to use (IU), and actual use (AU). Results indicate that VO had the highest score of importance, followed by CO, PEOU, SA, SE, SI, IU, PU, and ASU. Having the mobile application available and accessible made the users perceive it as highly beneficial and advantageous. This would lead to the continuous usage and patronage of the application. This result highlights the insignificance of UR. This study was the first study that considered the evaluation of mobile mental health applications. This study can be beneficial to people who have mental health disorders and symptoms, even to health government agencies. Finally, the results of this study could be applied and extended among other health-related mobile applications worldwide.

Building Information Modeling (BIM) has emerged as a transformative tool in addressing sustainability challenges in the construction industry. While Building Information Modeling (BIM) has emerged as a transformative technology for advancing sustainability, its adoption in China faces significant challenges. This study integrated the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to analyze the factors influencing BIM adoption in green building projects in China. Data were collected from 588 Chinese practitioners and researchers through online and offline questionnaires using a purposive sampling method. The findings revealed that Perceived Environmental Concern, Behavioral Intention, and Perceived Behavioral Control were the most critical factors influencing BIM adoption in green buildings. Additionally, the study demonstrated that BIM system quality, information quality, and system services significantly influenced the perceived usability and ease of use of BIM systems, which were essential for shaping users' acceptance of the technology in green building applications. These findings highlighted the importance of addressing environmental awareness, fostering positive behavioral intentions, and ensuring adequate resources, technical support, and system optimization to enhance BIM implementation. This research provides actionable recommendations for improving BIM adoption in green buildings, contributing to sustainable practices within the construction industry. By aligning with China's carbon reduction goals, the study offers valuable insights to guide policymakers and industry stakeholders in promoting the broader adoption of BIM technology for sustainable development.

The Philippines is considered one of the most vulnerable and susceptible countries to the effects of natural disasters due to its location. Therefore, the country needs to be resilient to the natural calamities it faces yearly. The research aimed to determine the factors that affect the protective behavior of Filipinos during natural disasters by integrating protective motivation theory, the theory of planned behaviors, and ergonomic appraisals, and by adding variables such as knowledge and geographical perspectives. PLS-SEM was used to determine the significant factors that affect protective behavior. A questionnaire was developed and distributed to 302 Filipinos in the Philippines through a digital survey using Google forms. The analysis showed that the intention to prepare is the most significant factor affecting their protective behavior, followed by macro and physical ergonomics. Aside from this, attitudes, perceived severity, self-efficacy, response efficacy, response cost, and subjective norms were found to influence their intention to prepare significantly. Furthermore, understanding natural calamities significantly influences an individual’s perceived severity. However, the geographical perspective, perceived vulnerability, perceived behavioral control, and cognitive ergonomics were found to have an insignificant influence on protective behavior for natural calamities. The study findings could be used as a basis for household units or the national government to build disaster management plans and resilience programs. Aside from this, it can also be used by researchers as a basis for exploring other areas that may affect the protective behavior of individuals to prepare for natural calamities worldwide.