ABSTRACT
The onset of the COVID-19 pandemic has prompted nations globally to adopt lockdown policies, resulting in a substantial shift in people's travel behavior. This pandemic has influenced micro-mobility, an emerging urban transportation mode, including in the Philippines. However, a limited quantifiable study is dedicated to understanding the evolving micro-mobility use in response to the COVID-19 pandemic. This study aims to determine the impacts of the COVID-19 pandemic on our future intention to use micro-mobility, particularly e-scooters/bikes, and to explore how hedonic and environmental motivations influence the decision-making process of its adoption. An extended Theory of Planned Behavior (TPB) was employed, with 152 Filipinos answering an online questionnaire that was distributed using a convenience sampling approach. Structural Equation Modeling (SEM) showed that the COVID-19 pandemic emphasized the awareness of environmental issues and the negative impact of cars, thereby significantly influencing the usage intention of e-scooters/bikes. In addition, social norms and perceived behavioral control partially mediated the relationship between the COVID-19 pandemic and the intention to use micro-mobility. Meanwhile, the magnitude and significance of motivation variables were inconclusive, although they confirmed a positive relationship with attitude. The findings of this study could help provider firms and policymakers devise evidence-based policies concerning micro-mobility and promote its usage, particularly in developing countries.
ABSTRACT
Hotel is an essential establishment that can offer lodging to travellers and accommodation for meetings/events. However due to the instability of the market in hotel, in addition to the COVID-19 pandemic, there is an increase of competition in the industry. In order to cope with this problem, hotels tend to increase its quality and services in order to meet the ideal preference of the customer. The study aimed to determine the combination of hotel attributes that the customer deemed preferred using a Conjoint Analysis Approach. The study specifically utilized attributes like price, accessibility to nearest landmark, inclusivity of breakfast, amenities, and dining options. The results show that the price was the most preferred attributes by the customer (40.787%), followed by the inclusivity of breakfast (32.913%), accessibility to nearest landmark (15.433%), hotel amenities (8.504%), and the least preferred is the dining options (2.362%). The outcome will be beneficial to the hotel owners and manager on the customer preference on the attributes. © 2022 ACM.
ABSTRACT
Delivering a high service quality under the safety protocol of COVID-19 is very essential for the sustainable airport operations. The study was intended to determine the impact of COVID-19 on Airport Service Quality (ASQ), customer satisfaction, and travel intention by utilizing a structural equation modeling (SEM) approach. A total of 517 Filipinos voluntarily answered an online questionnaire that consists of 92 questions. SEM indicated that the security check, terminal facilities, and services had significant effects on perceived value which subsequently led to customer satisfaction. In addition, travel safety measures had direct effects on Filipinos' travel intention and customer satisfaction. Interestingly, service innovations had no significant impact on customer satisfaction but directly affected travel intention. By understanding the relationship between these factors, airport management could have better decision-making while efficiently and effectively utilizing the resources in these times of uncertainty. © 2022 IEEE.
ABSTRACT
Due to the COVID-19 pandemic, employees are required to respond to changes and conform to stringent safety laws and regulations. This study aimed to analyze the impact of the COVID-19 pandemic on the organizational commitment among employees in the semiconductor industry. A total of 272 employees working in the semiconductor industry answered a self-administered questionnaire that considered 51 questions, distributed online. Utilizing Structural equation modeling (SEM), the results showed that the COVID-19 was found to have a significant direct effect on employees' perceived job outcomes (PO) and a negative direct effect on job demands (JD). Moreover, PO had a positive effect on job motivation (JM) and job satisfaction (JS). Subsequently, JM presented a significant positive direct effect on JS, while JD showed a negative effect on JS. Lastly, JS showed a significant positive direct effect on organizational commitment (OC). Intriguingly, an indirect effect of PO on JS was seen. This study is one of the first studies that analyzed the organization commitment among semiconductor workers during the COVID-19 pandemic. This paper could be utilized as a foundation to enhance organizational commitment, particularly in the semiconductor industry worldwide. © 2022 IEEE.
ABSTRACT
Medical wastes bring probable hazards and public risks if not handled correctly, especially during the covid-19 pandemic. Waste management costs are rising due to continues devastation of covid-19 virus. Increased care and handling processes have been implemented to avoid further spreading the infection while ensuring the proper disposal. Given this, medical waste related to covid-19, including other wastes generated by medical facilities, requires delicate integration into the waste management process thru a reverse logistics network for cost-efficient collection, processing, and transport style. Using AMPL software as solving tool, this paper was designed to utilize a mixed-integer linear programming model of a reverse logistics network to improve medical waste management by identifying the total minimum cost of the waste disposal cycle from Waste generating facilities, treatment facilities, and to the disposal factory. © 2022 ACM.
ABSTRACT
Distance learning has become the only solution for learning in the current Covid-19 pandemic outbreak. A more straightforward form of distance learning with the utilization of telepresence and cloud-based productivity tools was apparent in many institutions. The present study investigated this phenomenon and ask, “What factors affect students’ acceptance of distance learning during school closures due to COVID-19?”. An extended Unified Theory of Acceptance and Use of Technology was employed to answer the research question, with 156 students participating in the study. The result revealed that Effort Expectancy (EE) has the biggest effect on students’ acceptance of distance learning during school closures (β=0.372, p<0.001). Additionally, the extended variable of Socia l Presence (SP) was also showing great effects on students' acceptance (β=0.296, p<0.001). However, one of the UTAUT constructs, Facilitating Conditions, was found to have no effect on students' acceptance. Practical implications for schools and distance learning program managers were discussed to provide insight on improving a distance learning program. This study contributes to the body of knowledge on learning technologies as well as on how society, especially in the educational sector, should continue despite the current pandemic crisis. © Italian e-Learning Association.
ABSTRACT
—The Filipinos are current in lockdown that is to prevent the spreading of COVID-19 in the country. In this paper, we are focusing in determining the playtime and satisfaction of Gen Z-ers which were born from 1997 onwards who plays Mobile Legends: Bang Bang. In this paper, we utilize the Structural Equation Modelling (SEM) and applying the Self-Affirmation Theory (SAT) for the research framework of this study. The researchers gathered 257 valid participants in which most of them were high school and college students. We will see in the result section the factor loadings of our model wherein we found out that the impact of self-worth to playtime has the largest patch coefficient. Surprisingly, we also found out that there is no significant effect in the self-worth to satisfaction. We also showed here that the model fits our data giving the result of index is within the suggested values (GFI = 0.86, CFI = 0.92, AGFI = 0.82, TLI = 0.92, IFI = 0.93, RMSEA = 0.068, CMIN/DF = 2.9). © 2021, International Journal of Information and Education Technology. All rights reserved.