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Ardvin Ong
School of Industrial Engineering and Engineering Management, Mapúa University, Manila, Philippines. 658 Muralla St.,Intramuros, Manila, 1002, Philippines

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Journal article
Published: 27 July 2021 in Sustainability
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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.

ACS Style

Yogi Prasetyo; Ardvin Ong; Giero Concepcion; Francheska Navata; Raphael Robles; Isaiash Tomagos; Michael Young; John Diaz; Reny Nadlifatin; Anak Redi. Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model. Sustainability 2021, 13, 8365 .

AMA Style

Yogi Prasetyo, Ardvin Ong, Giero Concepcion, Francheska Navata, Raphael Robles, Isaiash Tomagos, Michael Young, John Diaz, Reny Nadlifatin, Anak Redi. Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model. Sustainability. 2021; 13 (15):8365.

Chicago/Turabian Style

Yogi Prasetyo; Ardvin Ong; Giero Concepcion; Francheska Navata; Raphael Robles; Isaiash Tomagos; Michael Young; John Diaz; Reny Nadlifatin; Anak Redi. 2021. "Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model." Sustainability 13, no. 15: 8365.

Journal article
Published: 26 July 2021 in Sustainability
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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 sampling. 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/professors. 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.

ACS Style

Ardvin Ong; Yogi Prasetyo; Michael Young; John Diaz; Thanatorn Chuenyindee; Poonyawat Kusonwattana; Nattakit Yuduang; Reny Nadlifatin; Anak Redi. Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers. Sustainability 2021, 13, 8339 .

AMA Style

Ardvin Ong, Yogi Prasetyo, Michael Young, John Diaz, Thanatorn Chuenyindee, Poonyawat Kusonwattana, Nattakit Yuduang, Reny Nadlifatin, Anak Redi. Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers. Sustainability. 2021; 13 (15):8339.

Chicago/Turabian Style

Ardvin Ong; Yogi Prasetyo; Michael Young; John Diaz; Thanatorn Chuenyindee; Poonyawat Kusonwattana; Nattakit Yuduang; Reny Nadlifatin; Anak Redi. 2021. "Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers." Sustainability 13, no. 15: 8339.

Journal article
Published: 16 July 2021 in International Journal of Disaster Risk Reduction
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The lack of studies on Filipinos preparedness in natural calamities such as earthquakes, specifically “The Big One”, posed the necessity for researchers to assess the preparedness and disaster mitigation. This study aimed to assess the driving factors that significantly influence the intention to prepare among Filipinos for mitigation of The Big One earthquake. With the integration of Protection Motivation Theory and Extended Theory of Planned Behavior, the study considered 727 valid responses to measure the intention to prepare. Eight latent were measured namely: (1) perceived vulnerability, (2) perceived severity, (3) subjective norm, (4) perceived behavioral control, (5) attitude, (6) media, (7) understanding of The Big One, and (8) intention to prepare. By utilizing Structural Equation Modelling, it is found out that Media, Attitude, Perceived Severity and Subjective Norm are all key factors affecting the intention of the people to prepare for the Big One. Moreover, it was also found out that the Understanding of the Big One has an indirect effect on the intention to prepare. The findings of the study can be utilized by the government to make Filipinos for conducting preparedness and mitigation practices. Finally, the model construct of the study could also be utilized to evaluate other types of natural disasters worldwide.

ACS Style

Ardvin Kester S. Ong; Yogi Tri Prasetyo; Fae Coleen Lagura; Rochelle Nicole Ramos; Keenan Mark Sigua; Jomy Anne Villas; Michael Nayat Young; John Francis T. Diaz; Satria Fadil Persada; Anak Agung Ngurah Perwira Redi. Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction 2021, 63, 102467 .

AMA Style

Ardvin Kester S. Ong, Yogi Tri Prasetyo, Fae Coleen Lagura, Rochelle Nicole Ramos, Keenan Mark Sigua, Jomy Anne Villas, Michael Nayat Young, John Francis T. Diaz, Satria Fadil Persada, Anak Agung Ngurah Perwira Redi. Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction. 2021; 63 ():102467.

Chicago/Turabian Style

Ardvin Kester S. Ong; Yogi Tri Prasetyo; Fae Coleen Lagura; Rochelle Nicole Ramos; Keenan Mark Sigua; Jomy Anne Villas; Michael Nayat Young; John Francis T. Diaz; Satria Fadil Persada; Anak Agung Ngurah Perwira Redi. 2021. "Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior." International Journal of Disaster Risk Reduction 63, no. : 102467.

Journal article
Published: 15 June 2021 in Foods
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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.

ACS Style

Ardvin Ong; Yogi Prasetyo; Ma. Libiran; Yuanne Lontoc; Joyce Lunaria; Adelaine Manalo; Bobby Miraja; Michael Young; Thanatorn Chuenyindee; Satria Persada; Anak Perwira Redi. Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach. Foods 2021, 10, 1382 .

AMA Style

Ardvin Ong, Yogi Prasetyo, Ma. Libiran, Yuanne Lontoc, Joyce Lunaria, Adelaine Manalo, Bobby Miraja, Michael Young, Thanatorn Chuenyindee, Satria Persada, Anak Perwira Redi. Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach. Foods. 2021; 10 (6):1382.

Chicago/Turabian Style

Ardvin Ong; Yogi Prasetyo; Ma. Libiran; Yuanne Lontoc; Joyce Lunaria; Adelaine Manalo; Bobby Miraja; Michael Young; Thanatorn Chuenyindee; Satria Persada; Anak Perwira Redi. 2021. "Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach." Foods 10, no. 6: 1382.