ORCID Profile
0000-0003-3535-9657
Current Organisation
Yuan Ze University
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Publisher: Elsevier BV
Date: 03-2021
Publisher: MDPI AG
Date: 27-08-2021
DOI: 10.3390/HEALTHCARE9091115
Abstract: Icons have been widely utilized to describe and promote COVID-19 prevention measures. The purpose of this study was to analyze the preference and subjective design features of 133 existing icons associated with COVID-19 prevention measures published by the health and medical organizations of different countries. The 133 icons represent nineteen different function names, such as “Wash Hands” and “Wear Face Mask”. A total of 57 participants were recruited to perform two different tests: ranking test and subjective rating test. The ranking test was conducted to elicit the preference ranking of seven icon designs representing each function name. It was followed by a subjective rating test using 13 semantic scales on the two most preferred icons to analyze their perceived quality. Spearmen correlation was applied to derive the possible correlations between users’ rankings and the semantic scales, and Friedman’s test was also performed to determine the true difference between ranking in terms of each semantic scale to provide a fully meaningful interpretation of the data. Generally, findings from the current study showed that the image presented in the icon is the key point that affects the icons’ perceived quality. Interestingly, Spearman’s correlation analysis between preference ranking and semantic scales showed that vague–clear, weak–strong, incompatible–compatible, and ineffective–effective were the four strongest semantic scales that highly correlated with the preference ranking. Considering the significant relationships between the semantic distances and the functions, images depicted in an icon should be realistic and as close as possible to its respected function to cater to users’ preferences. In addition, the results of Spearman’s correlation and Friedman’s test also inferred that compatibility and clarity of icon elements are the main factors determining a particular icon’s preferability. This study is the first comprehensive study to evaluate the icons associated with the COVID-19 prevention measures. The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures. Furthermore, the approach can also be applied and extended for evaluating other medical icons.
Publisher: MDPI AG
Date: 21-09-2021
DOI: 10.3390/SU131810481
Abstract: The COVID-19 pandemic has had a great impact on the fitness centers industry. The purpose of this study is to analyze the preference of gym-goers on fitness centers in the Philippines during the COVID-19 pandemic by utilizing a conjoint analysis approach. One thousand gym-goers voluntarily participated in this study and answered 22 queries created from the orthogonal design. The results indicated that Price was the highest attribute considered (21.59%), followed by Ventilation (17.56%), Service (16.59%), Trainer (14.63%), Payment Method (11.95%), Operating Hours (8.90%), and Login (8.70%). The results also indicated that comfort, security, and fitness center services were the main aspects that gym-goers would consider as their main preference. The study highlighted how gym-goers are sensitive to the price set by the fitness centers. Moreover, due to the COVID-19 pandemic, ventilation and size are considered highly important attributes among gym-goers. Comfort, safety, and security are the main consideration to have sustainable fitness centers during and even after the COVID-19 pandemic. The outcome of this study may benefit fitness centers and increase their business market by considering the preference of customers. Finally, the result of this study can be utilized by fitness centers to promote a generalized fitness center for gym-goers of different generations, statuses, and even socioeconomic status during and even after the COVID-19 pandemic.
Publisher: Elsevier BV
Date: 06-2021
Publisher: MDPI AG
Date: 17-11-2022
DOI: 10.3390/SU142215288
Abstract: 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 ided 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.
Publisher: MDPI AG
Date: 26-07-2021
DOI: 10.3390/SU13158339
Abstract: The decline of enrollees for industrial engineering during the COVID-19 pandemic and the increasing demand for professional industrial engineers should be explored. The purpose of this study was to determine the preference of industrial engineering students of different educational levels on online learning during the COVID-19 pandemic. Specifically, this study utilized conjoint analysis with orthogonal design considering seven attributes: delivery type, layout, term style, final requirements, Coursera requirements, seatwork and practice sets, and platforms. Among the attributes, 20 stimuli were created through SPSS and were answered voluntarily by 126 respondents utilizing a 7-point Likert Scale. The respondents were comprised of 79 undergraduate, 30 fully online master’s degree, and 17 master’s and doctorate degree students collected through purposive s ling. One university from the two available universities that offer all educational levels of IE in the Philippines was considered. The results showed that undergraduate students considered the final requirements with multiple-choice as the highest preference, followed by non-modular term style, and no seatwork and practice sets. In addition, fully online master’s degree students considered delivery type with the mix as the highest preference, followed by layout, and no seatwork and practice sets. Finally, master’s and doctorate degree students considered final requirements with publication as the highest preference, followed by no seatwork and practice sets, and mix delivery type. The students are technologically inclined, want to learn at their own pace, know where and how to get additional online learning materials, but still need the guidance of teachers rofessors. The results would help contribute to the theoretical foundation for further students’ preference segmentation, specifically on online learning during the COVID-19 pandemic worldwide. Moreover, the design created could be utilized for other courses in measuring students’ preference for online learning even after the COVID-19 pandemic.
Publisher: MDPI AG
Date: 26-09-2021
DOI: 10.3390/SU131910669
Abstract: Online education has become the norm for higher education institutions (HEIs) during this COVID-19 pandemics. HEIs are required to implement a fully online learning system that is structured and readily accessible with the assistance of a learning management system (LMS), including in developing countries such as the Philippines. This study aims to assess factors that positively influence the perceived satisfaction of engineering students when using the LMS during the COVID-19 pandemic in the Philippines. Additionally, it aims to integrate two models: Task Technology Fit (TTF) and Technology Acceptance Model (TAM), with added variables such as the content of the learning management system, social presence, and social space. Upon deploying the convenience s ling, a total of 1011 engineering students responded in the online survey, which consisted of 81 questions. Structural equation modeling (SEM) showed that the Task Technology Fit was positively influenced by technology, in idual, and task characteristics. Moreover, behavioral intention to use LMS was positively influenced by perceived usefulness and perceived ease of use. Furthermore, Task Technology Fit had a significant direct effect on behavioral intention to use LMS, which subsequently led to perceived satisfaction. This study is among the first to explore factors affecting perceived satisfaction among engineering students in using the LMS in the Philippines during the COVID-19 pandemic. To evaluate the perceived satisfaction of students in using the learning management system, future works can be extended and the model can be applied in other countries.
Publisher: MDPI AG
Date: 15-06-2021
Abstract: Milk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar level, price range, brands, type of milk tea, cream cheese inclusion, and the amount of ice. Conjoint analysis with the orthogonal design was utilized to evaluate the preference of milk tea among consumers. The results showed that pearl size was the attribute most considered by consumers (29.137%), followed by sugar level (17.373%), the amount of ice (17.190%), the type of drink (13.421%), price (11.207%), and the least considered were cream cheese inclusion (9.525%) and the brands (2.147%). The findings of this study will be beneficial to milk tea firms about consumer preferences regarding the various attributes of milk tea. Finally, the result of this study could be applicable to different beverage-focused studies worldwide.
Publisher: MDPI AG
Date: 27-07-2021
DOI: 10.3390/SU13158365
Abstract: Online meeting platforms have been widely utilized during the COVID-19 pandemic due to the current shift from traditional learning. However, the acceptance of the different online meeting platforms for e-learning has been underexplored. The purpose of this study was to determine the factors for acceptance of an online learning platform among students during the COVID-19 pandemic. A total of 500 senior high school students voluntarily participated to answer constructs under the Extended Technology Acceptance Model (ETAM) and Delone and McLean IS Success Model. Several latent including user interface (UI), perceived ease of use (PEU), perceived usefulness (PU), information quality (IQ), system quality (SQ), behavioral intentions (BI), and actual use were analyzed by Structural Equation Modeling (SEM). The results indicated that PEU was found to have the greatest on actual use (AU), followed by UI and SQ towards PEU, which subsequently led to BI and AU. Finally, IQ was found to have a significant effect on PU, which led to BI and AU. The level of student acceptability considers the ease of use, user interface, system quality, information quality, leading to a positive behavioral intention for actual use. With that, it would be of best interest to consider the factors that would lead students towards accepting the platforms utilized and therefore the current education system. Moreover, this will lead to their acceptance and promote learning even with the COVID-19 pandemic. Finally, the model construct can be applied and utilized to analyze the online learning platforms in other countries.
Publisher: MDPI AG
Date: 30-08-2021
DOI: 10.3390/A14090259
Abstract: A two echelon distribution system is often used to solve logistics problems. This study considers a two-echelon distribution system in reverse logistics context with the use of drop box facility as an intermediary facility. An optimization model of integer linear programming is proposed, representing a two-echelon vehicle routing problem with a drop box facility (2EVRP-DF). The aim is to find the minimum total costs consisting of vehicle transportation costs and the costs to compensate customers who have to travel to access these intermediary facilities. The results are then compared to those of common practice in reverse logistics. In common practice, customers are assumed to go directly to the depot to drop their goods. In addition, this study analyzes the environmental impact by adding a component of carbon emissions emitted by the vehicles. A set of comprehensive computational experiments is conducted. The results indicate that the 2EVRP-DF model can provide optimal costs and lower carbon emissions than the common practice.
Publisher: MDPI AG
Date: 27-05-2021
Abstract: The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.
Publisher: Elsevier BV
Date: 06-2022
Publisher: MDPI AG
Date: 28-12-2021
DOI: 10.3390/SU14010280
Abstract: Many developing countries on the equator, including Indonesia, have the potential for renewable and sustainable resources, such as solar energy. However, despite the enormous potential, the adoption level remains low. Previously, several studies discussed the potential, the feasibility, and the supporting policy of this technology, but none have been discussed from the customers’ perspective on a national scale. Therefore, this study attempts to determine the factors affecting the customers’ intention to use solar photovoltaics in Indonesia to develop a sustainable circular supply chain for renewable energy. This investigation was conducted based on integrating the unified theory of acceptance and use of technology 2 (UTAUT2) and the theory of planned behaviour (TPB). Furthermore, an online questionnaire was successfully distributed with a total of 208 participants. Structural equation modeling (SEM) was utilized to derive the causal relationships of the proposed hypotheses. The results indicated that price value (PV) has a positive relationship and a significant influence on attitude toward use (ATU), which leads to the behavioral intention (BI) to make the construct the most affecting factor. This is the first comprehensive study to analyze the intention to use rooftop solar panels based on the UTAUT2 and TPB framework. The successful approach to support photovoltaic use will bring less waste and strengthen the circular supply chain to support sustainable development.
Publisher: Vilnius Gediminas Technical University
Date: 04-2022
Abstract: In the service sector, such as tourism and hospitality, a traveler often tries to find information about their destination digitally, comparing it to alternatives available to have the best option. This demand businesses that are in the tourism and hospitality sector to advertise their destination more creatively and informatively, such as using a travel influencer. The present research was conducted to explore how the public adopts information advertised by a social media influencer that promotes travel or leisure places, better known as a travel influencer. The Information Adoption Model (IAM) was used to explore the factors that could affect people’s perception of Information Usefulness (IU), which then affects Information Adoption (IA). Several hypotheses that were built from the IAM theoretical framework were tested using Partial Least Square Structural Equation Modelling (PLS-SEM) with 150 people as respondents four out of the seven hypotheses were accepted. From the accepted hypotheses, it was revealed that more dimensions in the Source Credibility construct influence Information Usefulness compared to the dimensions from the Argument Quality constructs.
Publisher: ACM
Date: 27-04-2023
Publisher: ACM
Date: 27-09-2022
Publisher: Elsevier BV
Date: 12-2021
Publisher: MDPI AG
Date: 22-06-2021
DOI: 10.3390/HEALTHCARE9070780
Abstract: eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.
Publisher: MDPI AG
Date: 09-09-2022
DOI: 10.3390/SU141811329
Abstract: Volcanic eruption activity across the world has been increasing. The recent eruption of Taal volcano and Mt. Bulusan in the Philippines affected several people due to the lack of resources, awareness, and preparedness activities. Volcanic eruption disrupts the sustainability of a community. This study assessed people’s preparedness for volcanic eruption using a machine learning ensemble. With the high accuracy of prediction from the ensemble of random forest classifier (93%) and ANN (98.86%), it was deduced that media, as a latent variable, presented as the most significant factor affecting preparedness for volcanic eruption. This was evident as the community was urged to find related information about volcanic eruption warnings from media sources. Perceived severity and vulnerability led to very high preparedness, followed by the intention to evacuate. In addition, proximity, subjective norm, and hazard knowledge for volcanic eruption significantly affected people’s preparedness. Control over in idual behavior and positive attitude led to a significant effect on preparedness. It could be posited that the government’s effective mitigation and action plan would be adhered to by the people when disasters, such as volcanic eruptions, persist. With the threat of climate change, there is a need to reevaluate behavior and mitigation plans. The findings provide evidence of the community’s resilience and adoption of mitigation and preparedness for a sustainable community. The methodology provided evidence for application in assessing human behavior and prediction of factors affecting preparedness for natural disasters. Finally, the results and findings of this study could be applied and extended to other related natural disasters worldwide.
Publisher: International Association of Online Engineering (IAOE)
Date: 30-09-2019
DOI: 10.3991/IJET.V14I18.10973
Abstract: The negative effects of the usage of illegal software, especially in educational settings, concerns not only software developers but also educational institutions. This research papers investigated the factors contributing to the behavioral intention of Generation Z students' to comply with educational software anti-piracy laws. Using a framework that analyzes fear appeals, this research found that self-efficacy and response efficacy has a significant relationship with the behavioral intention of Generation Z's intention to comply with educational software anti-piracy laws. Several insights from practical and managerial perspectives are dis-cussed. Supporting the anti-piracy behavior will help the education field to be better in the future.
Location: Taiwan, Province of China
No related grants have been discovered for Yogi Tri Prasetyo.