Evaluating factors influencing customers' intention to eat Korean cuisine "Samgyeopsal" in the Philippines: A structural equation model forest classifier approach.

Samgyeopsal has become a widely popular cuisine in the Philippines since 2014. The rise of Samgyeopsal is evident worldwide as it is available in countries such as the United States, Northern, and Southern Asia. This study aimed to explore the intention to eat Samgyeopsal during the COVID-19 pandemic utilizing structural equation modeling and random forest classifier. With a total of 1014 responses collected online, the result showed that utilitarian and hedonic motivation, Korean influence, and attitude led to very high actual behavior in east Samgyeopsal in the Philippines. Moreover, subjective norm, perceived behavioral control, and intention led to significant results influencing intention to actual behavior. Lastly, the COVID-19 safety protocol showed the least significant result. This study is the first study that evaluated the intention of consumers to eat Samgyeopsal in the Philippines during the COVID-19 pandemic. The results of this study would be beneficial to Korean BBQ restaurateurs and the further development of their marketing strategies even in other countries. Finally, the model construct of this study can be extended and applied in evaluating the consumers' eating intention toward other varieties of food or cuisines worldwide.

The effects of communication, empathy, encouragement, growth, and rewards on employee performance: A structural equation modeling approach.

BACKGROUND: Improving employee performance has been crucial in different organizations for it reflects the company's product and service quality. OBJECTIVE: The purpose of this study was to determine the factors affecting employee performance in the engineering and technology department in the Philippines during the COVID-19 pandemic. METHODS: The effects of these factors such as communication, empathy, encouragement, growth and rewards to employee performance were analyzed. RESULTS: Structural equation modeling (SEM) revealed that among the five factors, the encouragement, growth, and rewards were found to have a significant effect on employee performance in the engineering and technology department. Surprisingly, communication and empathy were found to have no significant effect to employee performance. CONCLUSIONS: This was the first study that investigated the factors affecting employee performance in the engineering and technology department in the Philippines during the COVID-19 pandemic. The results could serve as a guideline for the management under this type of department. The framework could also be helpful for sustaining the elevated performance of the employees in the engineering and technology department.

Consumer preference analysis on the attributes of samgyeopsal Korean cuisine and its market segmentation: Integrating conjoint analysis and K-means clustering.

Samgyeopsal is a popular Korean grilled dish with increasing recognition in the Philippines as a result of the Hallyu. The aim of this study was to analyze the preferability of Samgyeopsal attributes which includes the main entree, cheese inclusion, cooking style, price, brand, and drinks using Conjoint Analysis and market segmentation using k-means clustering. A total of 1018 responses were collected online through social media platforms by utilizing a convenience sampling approach. The results showed that the main entrée (46.314%) was found to be the most important attribute, followed by cheese (33.087%), price (9.361%), drinks (6.603%), and style (3.349%). In addition, k-means clustering identified 3 different market segments: high-value, core, and low-value consumers. Furthermore, this study formulated a marketing strategy that focused on enhancing the choice of meat, cheese, and price based on these 3 market segments. This study has significant implications for enhancing Samgyeopsal chain businesses and helping entrepreneurs with consumer preference on Samgyeopsal attributes. Finally, conjoint analysis with k-means clustering can be utilized and extended for evaluating food preferences worldwide.

Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation

Online food delivery service (OFDS) has been widely utilized during the new normal of the COVID-19 pandemic, especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of the COVID-19 pandemic in Indonesia by utilizing the extended theory of planned behavior (TPB) approach. A total of 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that hedonic motivation (HM) was found to have the highest effect on customer satisfaction, followed by price (P), information quality (IQ), and promotion (PRO). Interestingly, this study found out that usability factors, such as navigational design (ND) and perceived ease of use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.

Determination of Factors Influencing the Behavioral Intention to Play 'Mobile Legends: Bang-Bang', during the COVID-19 Pandemic: Integrating UTAUT2 and System Usability Scale for a Sustainable E-Sport Business

The rise of mobile games during the COVID-19 pandemic era was evident, especially in Asia. One of the most popular online mobile games that has been evident across the world due to its live worldwide competition is 'Mobile Legends: Bang Bang';(MLBB). This study aimed to determine factors influencing the behavioral intention to play MLBB by utilizing the integrated model of UTAUT2 and System Usability Scale (SUS). A total of 507 MLBB players voluntarily answered an online questionnaire that consisted of 69 items. Through convenience sampling, the online survey was collected from November 2021-January 2022 from different social media platforms. Several factors such as hedonic motivation, effort expectancy, performance expectancy, perceived usefulness, security, perceived usability, facilitating conditions, social influence, habit, behavioral intention, and SUS were considered in this study. Using Structural Equation Modeling (SEM), results showed that habit was the most significant factor in behavioral intention, followed by perceived usability, facilitating conditions, social influence, and hedonic motivation. In addition, it was evident from the results that when the mobile application is free and resources are available, then continuous patronage of the mobile application will be considered. In-game resources may be capitalized on by developers after gaining these habits and hedonic motivations among users. This is the first study that evaluated MLBB by utilizing the integrated models of UTAUT2 and SUS during the COVID-19 pandemic. The results of this study could be beneficial for developers to entice users for team play and entertainment-based mobile applications. Finally, the model considered may be extended and applied to other mobile applications worldwide.

Using Online Grocery Applications during the COVID-19 Pandemic: Their Relationship with Open Innovation

This present research examines the behavioral intentions of Filipinos to use online grocery applications during the novel COVID-19 pandemic. The study proposes an integration of the health belief model (HBM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) to identify the factors affecting the acceptance and usage of Filipinos of online grocery applications in terms of the impact of health risk for COVID-19. To accurately measure the factors and their relationship to behavioral intentions and usage behavior, a questionnaire was developed and distributed to 373 residents in the Philippines. Partial least squares structural equation modeling (PLS-SEM) was applied as an analytical method for this study. The results revealed that performance expectancy, perceived benefits, perceived severity, and cues to action significantly influenced the behavioral intentions and usage of online grocery apps during the COVID-19 pandemic. The study's findings can be utilized as a theoretical framework for future researchers of consumer behavior;e-commerce developers;and grocery industry retailers, to enhance the innovation and services of online grocery applications. The results of this study may also be used and capitalized on by investors and managers to apply in strategizing when developing and marketing online grocery applications among consumers. Moreover, the framework of this study may be adopted and utilized by other online markets, even in different counties. Further theoretical and practical aspects are discussed in this paper.

Determination of factors influencing young adults' intention to have COVID-19 vaccine in the Philippines: An integration of Health Belief Model and the Theory of Planned Behavior.

Objectives: The COVID-19 pandemic continues to increase around the world and businesses and markets across the world significantly decreased. The purpose of this study was to determine the factors that affect the intention to be vaccinated for the COVID-19 vaccine among young Filipino adults by integrating the Health Belief Model and Extended Theory of Planned Behavior. Study design: A cross-sectional study design was utilized. Methods: Factors such as understanding of the COVID-19 vaccine, self-efficacy, cues to action, perceived barriers, perceived benefits, perceived side effects, perceived behavioral control, attitude, subjective norm, and intention to be vaccinated were analyzed by utilizing Structural Equation Modeling (SEM). Results: With 865 young Filipino adults who answered a self-administered survey, it was seen that Understanding of the COVID-19 vaccine has the highest direct significant effect on cues to action, followed by perceived barriers, and perceived benefits. Interestingly, the primary factor was Understanding COVID-19 vaccines which had an indirect significant effect on the intention to get vaccinated. This is because knowing what the vaccine is for, its effects, and the application would lead to the acceptance of the COVID-19 vaccine. Moreover, the impact of being known to have the COVID-19 vaccine would lead to the intention to get vaccinated. Conclusions: The findings of this study can be utilized especially by the government in developing strategies for encouraging people to take the COVID-19 vaccine. Finally, the model construct of the study can be applied to explore more factors that can affect the intention to be vaccinated with the COVID-19 vaccine and other vaccines people worldwide.

How Tourists Reacted to Ecotourism during COVID-19: Insights on Its Sustainability from a Multivariate Analysis Based on the Case of Banyuwangi

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.

Evaluating the influence of service quality, hedonic, and utilitarian value on shopper's behavioral intentions in urban shopping malls during the COVID-19 pandemic.

Shopping malls are subjected to a lot of changes during the COVID-19 pandemic, especially in the Philippines. The objective of the study was to evaluate the influence of service quality, hedonic, and utilitarian value of malls on shopping mall goers' behavioral intentions during the COVID-19 pandemic. SERVQUAL five dimensions were utilized to represent the service quality aspect, while utilitarian and hedonic values are used to embody the shopping mall values among Filipino citizens. Additionally, we included convenience and social experience as part of our model, to which relationships were assessed toward the utilitarian and hedonic shopping mall values, respectively. An online survey was distributed and collected 519 valid responses among Filipino shopping mall goers. Using Structural Equation Modeling (SEM), results showed that for service quality aspect, tangibles, empathy, and assurance had significant effects on shopper's shopping mall satisfaction during the COVID-19 pandemic. On the other hand, both shopping mall values present positive effects on shopper's satisfaction on which utilitarian value gave the strongest influence in the overall model, followed by the hedonic value. Convenience and social experience also showed positive effects on utilitarian and hedonic values, respectively. The utilized extended framework from SERVQUAL dimensions and hedonic and utilitarian values to measure satisfaction and behavioral intentions was seen to be applicable to measure human behavior and lifestyle studies. Overall, the satisfaction from both service quality and shopping mall values aspect strongly influences shoppers' behavioral intention in going to the mall.

Plantitas/Plantitos Preference Analysis on Succulents Attributes and Its Market Segmentation: Integrating Conjoint Analysis and K-means Clustering for Gardening Marketing Strategy

Many people have switched to gardening as their new hobby during the COVID-19 pandemic, including Filipinos. With its increasing popularity, Filipinos called the new hobbyists 'plantitas';and 'plantitos';instead of the old-fashioned term 'plant people';. Among different plants, succulents are one of the most popular for plant lovers as they can thrive with even minimal care, making them suitable to be an indoor/outdoor plant. This study aims to determine the various preferences of plantitas and plantitos based on succulent attributes using a conjoint analysis approach, and to discover the market segments using a k-means clustering approach. The attributes presented in this study are the types of succulents, succulent variegation, price, size of the succulent (in terms of diameter), size of the pot, pot material, and payment method. The conjoint analysis results indicated that the price was the attribute that significantly affected consumer buying behavior, followed by the diameter size of the succulent. On the other hand, the k-means cluster analysis identified three customer segments based on the buying frequency of customers, namely high-value customers, core-value customers, and lower-value customers. A marketing strategy for succulent sellers was proposed based on these segmentations, particularly on how to gain and attract more customers. This study is one of the first studies that analyzed the preferences related to succulent attributes. Finally, the conjoint analysis approach and k-means clustering in this study can be utilized to analyze succulent preferences worldwide.

Choosing a package carrier during COVID-19 pandemic: An integration of pro-environmental planned behavior (PEPB) theory and service quality (SERVQUAL).

Sustainability and safety have become the two most important considerations of consumers of the current century. The limited movement of consumers and significant shift to online business as effects of the current health pandemic led to an increased demand for package delivery services worldwide. This study investigated the factors that influence the intention of consumers in the Philippines to choose a package delivery or carrying service during the COVID-19 pandemic using the integrated pro-environmental planned behavior (PEPB) theory and service quality (SERVQUAL). An online questionnaire was distributed as the instrument data collection, and 400 respondents who have utilized the package delivery service during the pandemic participated in the study. The theoretical model was examined using the partial least square structural equation modeling (PLS-SEM) with higher-order constructs. Testing the different parameters of structural model, measurement model, and the model fit presented values within the threshold. Moreover, the HTMT and Fornell & Larcker discriminant validity analysis was performed to determine the overall fit of the constructs of the model. These tests demonstrated the acceptability of the model. The findings revealed that perceived environmental concern, perceived authority support, subjective norm, attitude, service quality, customer perceived value, and customer satisfaction significantly influence the consumer's intention to choose a package delivery service during the pandemic. The consumers' perception of pro-environmental activities was also an essential contributor since perceived environmental concern and perceived authority support indirectly affect behavior intention. The findings contribute to developing and validating an integrated model on sustainability and service quality in package delivery services. The study also provides suggestions to service providers to ensure quality and safety on package delivery during the pandemic.

Determining factors affecting customer satisfaction of the national electric power company (MERALCO) during the COVID-19 pandemic in the Phillippines.

This study aimed to determine factors affecting customer satisfaction of national electric power companies during the COVID-19 pandemic by integrating SERVQUAL and Expectation-Confirmation Theory approaches. A total of 529 participants voluntarily participated and answered an online questionnaire of 49 questions. Structural equation modeling indicated that Tangibility, Empathy, and Responsiveness were positively related to Service Quality which subsequently led to Customer Expectation, Energy Consumption, and Perceived Performance (PE). In addition, a higher PE was positively related to Confirmation, which eventually led to Customer Satisfaction. It was evident that integrating SERVQUAL and ECT could holistically measure customer satisfaction among electricity service providers.

Factors Affecting Customer Satisfaction in Fast Food Restaurant 'Jollibee' during the COVID-19 Pandemic

Jollibee is one of the most widely known fast food in Filipino-based restaurants in the world. However, the COVID-19 pandemic has impacted restaurants across the world. The decrease in profit and dividend, and even closure of branches were evident. This study aimed to determine the relationships between Jollibee's price, food quality, culture/social influence, and service quality through the SERVQUAL dimensions on customer satisfaction during the COVID-19 pandemic using the structural equation modeling (SEM) approach. A total of 303 respondents were recruited using a purposive sampling approach to answer an online survey through social media platforms. This study found that among the factors mentioned, responsiveness, reliability, and assurance dimensions yielded to be statistically insignificant to the service quality. Due to the normal attributes the staff and restaurant have, the different factors were deemed insignificant. At the same time, the service quality was observed to have the largest significant direct relationship with customer satisfaction, followed by the cultural influence, food quality, COVID-19 protocols, and pricing. It was also seen that cleanliness and appearance, empathetic staff, food quality, price, and proper implementation of COVID-19 protocol prevention would lead to high levels of satisfaction among customers in Jollibee fast-food restaurant. Moreover, cultural/social influence has played a big role seeing that the indicators represent the feeling of belongingness since childhood. This study is the first study that analyzed the factors affecting the customer satisfaction of Jollibee. Finally, this study could be used as a basis for fast-food companies and service-related industries to increase its performance by enhancing customer satisfaction worldwide.

How the Education Industries React to Synchronous and Asynchronous Learning in COVID-19: Multigroup Analysis Insights for Future Online Education

The phenomenon of the COVID-19 pandemic requires prevention actions, such as social and physical distancing. In education, there is no choice but to adapt to online learning from traditional face-to-face learning. Online learning is divided into two approaches, namely synchronous and asynchronous learning. In practice, both synchronous and asynchronous learning have their respective advantages and disadvantages that can affect the efficiency and the effectiveness of online learning that are felt by students. The present study has analyzed students' acceptance of synchronous learning and asynchronous learning by comparing the results of the two approaches that were used in educational institutions. Data from 162 respondents in the synchronous and 147 asynchronous online learning surveys were obtained through distributing online questionnaires. The present research utilized multigroup partial least square-structural equation modeling (PLS-SEM) for data analysis. The results indicate that students' acceptance of synchronous online learning is influenced by the characteristics of the teachers, technological innovations, and the quality of the learning system. At the same time, the teacher characteristics, the organizational and technical support, technological innovations, and the trust affect the acceptance of asynchronous online learning. The R2 that was generated from the two groups was 58 percent and 62 percent for synchronous and asynchronous learning, respectively. The managerial implications that can be implemented are also described here in order to assist institutions in increasing the acceptance of synchronous and asynchronous online learning for future online education.

Assessing Service Quality and Customer Satisfaction of Electric Utility Provider's Online Payment System during the COVID-19 Pandemic: A Structural Modeling Approach

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.

How important is the tuition fee during the COVID-19 pandemic in a developing country? Evaluation of filipinos' preferences on public university attributes using conjoint analysis.

In a developing country like the Philippines, it is critical to understand the important factors which lead college students to their current colleges and universities, especially during the COVID-19 pandemic. This study utilized the conjoint analysis approach with an orthogonal design for evaluating understudy's inclination in choosing a college with the various attributes such as the tuition fee, distance or location, employability, academic reputation, recommended by friends and peers, recommended by family or relatives, and the availability to transfer was assessed. A total of 518 Filipino students studying at public and state universities participated in answering the 16 combined attributions about university preference using purposive sampling approach. Based on the utilities estimate, the most important attribute was the tuition fee of the preferred university with an importance value of about 32.839%, followed by the employability rate of the university with about 6% gap difference. The mid-concerned attributes were the distance/location with an estimated of 11.139%, recommendation of friends or peers with approximately 11.689% tying together, and the academic reputation with an estimated of 10.638%. The two least important attributes were identified to be the availability to transfer, having with only about 2.713%, and the recommendation of parents with only 2% difference at approximately 4.453%. The outcomes of this study can aid college chairmen and enrolment specialists tweak their advertising procedures by giving significant data to the chief gatherings engaged with settling college decision choices.

Determining Factors Affecting Behavioral Intention to Organize an Online Event during the COVID-19 Pandemic

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.

Investigating Factors Affecting Behavioral Intention among Gym-Goers to Visit Fitness Centers during the COVID-19 Pandemic: Integrating Physical Activity Maintenance Theory and Social Cognitive Theory

The COVID-19 pandemic has led to the closure of many fitness centers and has significantly affected the behavioral intentions of gym-goers. This study aimed to determine factors affecting the behavioral intentions of gym-goers regarding fitness centers during the COVID-19 pandemic in the Philippines by utilizing the Physical Activity Maintenance Theory within the framework of Social Cognitive Theory. A total of 1048 gym-goers voluntarily answered an online, self-administered survey comprising 68 questions. Structural Equation Modeling indicated that physical activity maintenance through understanding COVID-19 and self-motivation had the highest significant effect on behavioral intentions. Interestingly, life stress was found to have a significant negative direct effect on physical activity maintenance. The current study is one of the first to have analyzed factors affecting the behavioral intentions of gym-goers during the COVID-19 pandemic. Finally, the application of Physical Activity Maintenance Theory and Social Cognitive Theory in this study provided accurate predictors of behavioral intention. As a result, this integrated model could serve as a theoretical foundation that could be applied and extended to assess behavioral intentions among gym-goers during the COVID-19 pandemic worldwide.

Determining the Factors Affecting a Career Shifter's Use of Software Testing Tools amidst the COVID-19 Crisis in the Philippines: TTF-TAM Approach

The restrictions of the ongoing COVID-19 pandemic resulted in the downturn of various industries and in contrast a massive growth of the information technology industry. Consequently, more Filipinos are considering career changes to earn a living. However, more people still need to be upskilled. This study combines the extended Technology Acceptance Model and Task Technology Fit framework to determine factors affecting a career shifter's use of software testing tools and its impact on perceived performance impact amidst the COVID-19 pandemic in the Philippines. A total of 150 software testers voluntarily participated and accomplished an online questionnaire consisting of 39 questions. The Structural Equation Modeling and Deep Learning Neural Network indicated that Task Technology Fit had a higher effect on Perceived Performance Impact. Moreover, Task Technology Fit positively influenced Perceived Usefulness. Computer Self-Efficacy was a strong predictor of Perceived Ease of Use. Perceived Ease of Use confirmed the Technology Acceptance Model framework as a strong predictor of Actual System Use. Intention to Use, Perceived Usefulness, Actual Use, and Subjective Norm were also significant factors affecting Perceived Performance Impact. This study is the first to explore the career shifter's use of software testing tools in the Philippines. The framework would be very valuable in enhancing government policies for workforce upskilling, improving the private sector's training and development practices, and developing a more competitive software testing tool that would hasten users' adaptability. Lastly, the methodology, findings, and framework could be applied and extended to evaluate other technology adoption worldwide.

Factors Affecting Visiting Behavior to Bali during the COVID-19 Pandemic: An Extended Theory of Planned Behavior Approach

The COVID-19 pandemic affected tourists' traveling behavior and resulted in the stoppage of Bali's tourism growth. Hence, this study aimed to determine the factors that influence Indonesians to travel to Bali during the COVID-19 pandemic by utilizing the extended theory of planned behavior (TBP) approach. A total of 269 respondents participated in the survey and answered forty (40) questions developed from seven (7) latent variables. Structural equation modeling (SEM) specified that hedonic motivation had the highest direct effect on tourist traveling intention, followed by attitude, and COVID-19 safety protocols. Meanwhile, social media influence, perceived behavioral control, and subjective norms were insignificant to tourists' intention to travel during the COVID-19 pandemic. These findings contributed to the proposed strategies that increased the number of local and international tourists. Since this study aimed to stabilize the tourism sector and improve the economy in Bali, the government and tourism stakeholders benefit from the results.