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The power plant accident is considered one of the man-made disasters in many developing countries, including the Philippines. This study aimed to identify the factors influencing behavioral-based safety (BBS) of coal-fired power plant workers which subsequently led to their active safety participation (SPT). In total, 201 coal-fired power plant workers in the Philippines answered the questionnaire consisting of 60 items using a purposive sampling approach. Partial least squares structural equation modeling (PLS-SEM) revealed that personal measures (PM) had significant effects on safety incentives (SI), safety management system (SMS) and safety perception (SP). SP also had significant effect on BBS which subsequently led to SPT. Finally, SMS had significant effect on safety culture (SC) which subsequently led to safety communication (SCM), BBS and SPT. This study is the first to explore BBS in the Philippine coal-fired power plant, and can positively reinforce SPT of workers in the coal-fired power plant industry.

Ecotourism is an alternative to conventional tourism where tourists can enjoy natural scenery by prioritizing conservation aspects as a form of expressing responsibility to the environment. There are several popular ecotourism sites in Indonesia, one of which is Banyuwangi Regency, which was the world winner of the 12th United Nations World Tourism Organization (UNWTO) awards. This study was conducted to analyze the factors that influence the behavioral intention of tourists to ecotourism at Banyuwangi Regency. By knowing the factors influencing behavioral intention, tourism managers and local governments can gain better insight into strategies that can be adopted to increase consumers’ positive intention toward ecotourism. This research was conducted with multivariate structural equation modeling (SEM), and twelve hypotheses were tested. A total of 344 respondents participated. Six accepted hypotheses were revealed. A positive and significant influence was found on the subjective norm and destination image variables on ecotourism behavioral intention. The analysis found a positive and significant effect between ecotourism self-identity and subjective norm variables. Other results found that the biosphere value had a positive and significant effect on the environmental attitude, and the future time perspective and destination image variables were found to have a positive and significant effect on the environmental concern variable. Most respondents in this study admitted that they are individuals who have a love for nature and are willing to dispose of their garbage in its proper place. Further theoretical and practical implications were described.

The COVID-19 pandemic has rapidly changed people’s lives, especially technological advancements. Most service industries have opted to adopt online payments since the pandemic happened. Electric utility companies are one of the major industries that utilize online payments as an alternative mode of payment to traditional cash payments to minimize person-to-person contact. The current study aimed to assess electric utility companies’ service quality and customer satisfaction to improve the payment system. The study was conducted in Occidental Mindoro Electric Cooperative, Inc. (OMECO), which utilized an online payment system due to COVID-19-protocol. The research model comprises 60 questionnaires with ten sections developed from the literature and distributed to 400 participants. The data were analyzed using the structural equation modeling and path analysis technique. The results showed that Online Payment Security had the most positive effect on service quality, thus affecting customer satisfaction. Moreover, tangibility, reliability, online payment method, and COVID-19-protocol positively affected service quality. While reliability, assurance, and empathy had a negative effect on the service quality of OMECO. Aligning with the result, OMECO was poorly evaluated by the participants in terms of empathy, assurance, responsiveness, and reliability. Moreover, the result of the study can be used by major electric companies to improve their service in terms of online payment. Finally, the current research is one of the first studies that integrate service quality and customer satisfaction while utilizing the structural modeling approach.

An online event, such as an online concert or online graduation, has been widely utilized as one of the solutions to connect people during the COVID-19 pandemic. The purpose of this study was to determine factors affecting behavioral intention to organize an online event during the COVID-19 pandemic by integrating Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Overall, 366 sets of data were collected from respondents through a convenience sampling approach from several social media platforms. They were asked to fill the online questionnaire which had 40 questions under 8 segments. Structural equation modeling (SEM) showed that hedonic motivation was found to have the strongest effect on attitude, which subsequently led to behavior intention. In addition, online event promotion and perceived usefulness were also found to have significant effects on attitude, which also subsequently led to behavior intention. This study is one of the first studies that explored the behavioral intention to utilize an online event during the COVID-19 pandemic. The findings would be beneficial mainly for online event organizers, particularly for enhancing the online event performance based on the contributing factors. Additionally, this study could act as a stepping stone to help future researchers understand online event better. Finally, the technology acceptance model and theory of planned behavior in this study can be extended for exploring the acceptance of an online event worldwide.

The COVID-19 pandemic has caused several developing countries to fall behind on vaccination at the onset of the pandemic, thus affecting the mobility of easing restrictions and lowering virus transmission. The current study integrated the Protection Motivation Theory (PMT) and extended the Theory of Planned Behavior (TPB) to evaluate factors affecting the perceived effectiveness of government response towards COVID-19 vaccination in Occidental Mindoro. A total of 400 respondents from the municipalities of Occidental Mindoro answered the online questionnaires, which contained 61 questions. This study outlined the relationship between the dependent and independent variables using structural equation modeling (SEM). The results indicated that knowledge of COVID-19 vaccination had significant direct effects on its perceived severity. Subjective standards had significant adverse effects on willingness to follow. In addition, perceived behavioral control was discovered to impact willingness to follow positively. It also showed that perceived government response was significantly affected by adaptive behavior and actual behavior regarding the perceived government response. Meanwhile, it was found that the perceived government response had significant effects on perceived effectiveness. The current study is one of the first to study the factors that affect the perceived effectiveness of government response toward COVID- 19 vaccination.

Due to the Philippines’ current condition in COVID-19, the Social Security System (SSS) has launched a mobile app as an intervention for walk-in appointments and another convenient way to exchange information. By integrating the extended Technology Acceptance Model (TAM) with the Theory of Planned Behavior (TPB), this study scrutinizes and investigates the various factors influencing the SSS mobile app’s accessibility. An online questionnaire composed of 60 items required at least 200 respondents. The researchers measured twelve latent variables, including social influence, awareness of service, computer self-efficacy, quality of internet connection, perceived ease of use, perceived usefulness, subjective norms, the impression of use, demographic, attitude towards using, behavioral intention to use, and actual use of SSS mobile app. The results of Structural Equation Modeling (SEM) indicated that awareness of service had a substantial direct influence on computer self-efficacy and perceived usefulness. In addition, computer self-efficacy had a substantial direct influence on the quality of internet connection and perceived ease of used, in which this perceived ease of use had a substantial direct influence on perceived usefulness and attitude toward using the mobile application. This study’s findings can be used to provide information on the key factors that have been identified as having a considerable effect on the app’s accessibility and further improving the overall service efficiency of the SSS mobile app. Finally, the study’s model construct will be valuable for researchers and other sectors investigating user–software interaction of applicable government or private service mobile applications.

The COVID-19 pandemic has resulted in the shift from face-to-face to fully online learning. The purpose of this study was to evaluate the preference of senior high school students on online learning attributes during the COVID-19 pandemic by utilizing a conjoint analysis approach. Six attributes which consist of delivery type, assigned tasks, evaluation, virtual laboratory, interface layout, and delivery platform were simultaneously analyzed through orthogonal design. A total of 1189 senior high school students were collected via purposive sampling approach through the social media platform. The respondents voluntarily participated and answered 29 stimuli with 2 holdouts generated by using SPSS 25 utilizing a 7-point Likert scale. The results indicated that evaluation was found to be the most significant attribute and followed by virtual laboratory, delivery type, and delivery platform. Interestingly, multiple choice evaluation, not requiring virtual laboratories, mixed delivery type (synchronous with recorded lectures), and MS Teams as delivery platform were considered as the keys for the preference. This study is the first study that utilized a conjoint approach to analyze the senior high school students' preference on the online learning attributes during the COVID-19 pandemic. Finally, the conjoint approach can be applied and extended to evaluate the online learning attributes globally by utilizing the attributes and design created in this study.

A stock is an investment wherein you purchase one of the company's stocks which by means is called a share. Most investors think that when they purchase a stock, it will go up the value. It will result also in to impact of an increase to the company's stocks as well. Because there are many stocks to check and invest in, the researcher chose the US stock market and considered in this study as a prime and one of the most powerful stock markets in the world. A so-called portfolio investment means a group of assets on which these are the chosen US companies. The goal of this study is to identify and look for a portfolio that outperforms benchmark markets (New York Stock Exchange, Dow Jones, and S&P 500) during the situation of pandemic Covid-19. The top 30 companies in the NYSE list are considered as the investment pool wherein some are tagged also as blue chips. From this, the researcher was able to develop and look for a portfolio that can outperform the markets during months between March to August 2020. Using the safety-first model to back-test, it was observed from the return statistics of the back-test period that a hopeful investor can outperform the benchmark markets during times of pandemic. Also, in these pandemic times, it is important for the investors to know the current situation and impact where their money is going and if it is advisable to invest. Also, it is obvious that when you are an investor, you should know when and where your money earned profit and have good investment options. It is important in this study to know what are the substantial risks during a pandemic and what could be the long-term strategy for your chosen stocks. For first time investors, this paper will help them assess their budget on stocks, where to invest their money, and the impact of a pandemic on their money.

This study provides the investigation of the safety-first model on the airlines and cruise ship companies listed in the NASDAQ Market. The researchers collected 701 historical data within these companies to estimate the future returns. Applying the SF model to conduct backtesting on the 200 trading covering days before and during the pandemic COVID-19. The study shows that having different parameters set by the researchers to consider from an investor who is most brave and most cautious, no portfolio gave good results compared to the benchmark market. The result section shows the summary wherein the results of these portfolios underperformed the market. This paper contributes with results and analysis on the tourism industry under the NASDAQ during the health crisis.