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

Ong, Ardvin Kester S.; Prasetyo, Yogi Tri; Lagura, Fae Coleen; Ramos, Rochelle Nicole; Sigua, Keenan Mark; Villas, Jomy Anne; Young, Michael Nayat; Diaz, John Francis; Persada, Satria Fadil; Redi, Anak Agung Ngurah Perwira

doi:10.1016/j.ijdrr.2021.102467

Cited by 72 publications

(103 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For the incremental fit indices: Normed Fit Index (NFI), Tucker Lewis Index (TLI), and Comparative Fit Index (CFI) were measured. The results must be higher by 0.90 ( Diamantidis and Chatzoglou, 2019 ; Hair, 2010 ; Cheng et al, 2018 ) or closer to be considered a good model fit for the data collected ( Ong et al, 2021c ; de Oña et al, 2013 ). Moreover, the goodness of fit index was measured by Goodness of Fit Index (GFI) and Adjusted Goodness of Fit Index (AGFI) with greater than 0.90 thresholds to indicate a good model fit ( Diamantidis and Chatzoglou, 2019 ; Lin et al, 2019 ).…”

Section: Methodsmentioning

confidence: 94%

Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic

et al. 2022

Self Cite

View full text Add to dashboard Cite

The implementation of lockdown due to the COVID-19 pandemic has affected most businesses worldwide. The transportation business, specifically in the Philippines, has been heavily affected since only the healthcare and essential workers were allowed to leave their homes during the early stage of the pandemic. This paper aimed to explore the service quality of Public Utility Vehicles (PUV) in the Philippines during the COVID-19 pandemic utilizing the SERVQUAL dimensions. A total of 564 participants answered an online questionnaire using the convenience sampling approach, consisting of 58 questions. Structural equation modelling (SEM) was applied to derive the causal relationships between SERVQUAL dimensions, COVID-19 safety protocol, and customer satisfaction simultaneously. Out of the six dimensions, the SEM indicated that COVID-19 protocols, tangibility, and assurance variables were found to significantly affect PUV service quality and thus, customer satisfaction. This study is one of the first complete studies that analyzed the PUV service quality during the COVID-19 pandemic. The findings could provide the government with an evaluation of the compliance of PUVs to the imposed COVID-19 protocols. Furthermore, the framework of this study could also be applied and extended in evaluating PUV worldwide.

show abstract

Section: Methodsmentioning

confidence: 94%

Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…It was run by using AMOS 24. Following some previous studies [ 39 , 40 , 41 , 42 , 43 ], SEM could be used to assess human behavior when it comes to acceptance, intention, and usage. Behkami and Daim [ 44 ] used SEM to explore technology adoption among patient-centered medical homes.…”

Section: Methodsmentioning

confidence: 99%

Factors Affecting the Perceived Usability of the COVID-19 Contact-Tracing Application “Thai Chana” during the Early COVID-19 Omicron Period

Chuenyindee

Ong

Prasetyo

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

Thai Chana is one of the mobile applications for COVID-19 disease-control tracking, especially among the Thais. The purpose of this study was to determine factors affecting the perceived usability of Thai Chana by integrating protection motivation theory, the extended technology acceptance model, and the system usability scale. In all, 800 Thais participated and filled an online questionnaire with 56 questions during the early COVID-19 omicron period (15 December 2021 to 14 January 2022). Structural equation modeling (SEM) showed that the understanding of COVID-19 has significant effects on perceived severity and perceived vulnerability, which subsequently leads to perceived usefulness. In addition, perceived usefulness and perceived ease of use have significant direct effects on attitude, which subsequently leads to the intention to use, actual use, and perceived usability. This study is one of the first studies that have analyzed the mobile application for COVID-19 disease-control tracking. The significant and substantial findings can be used for a theoretical foundation, particularly in designing a new mobile application for disease-control tracking worldwide. Finally, protection motivation theory, the extended technology acceptance model, and the system usability scale can be used for evaluating other disease-control tracking mobile applications worldwide.

show abstract

“…According to Yakubu and Dasuki [15], the Structural Equation Modeling is a collection of methods and techniques that are commonly used to analyze and eventually explain the connection between multiple variables using a series of equations and computations. Additionally, SEM can analyze the most complex linkages between latent factors [46][47][48][49][50][51]. Because of this, SEM can be used for analyzing the factors on why the users use technology in the first place [52,53].…”

Section: Theoretical Contributionsmentioning

confidence: 99%

Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model

et al. 2021

Self Cite

View full text Add to dashboard Cite

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.

show abstract

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

Cited by 72 publications

References 69 publications

Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic

Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic

Factors Affecting the Perceived Usability of the COVID-19 Contact-Tracing Application “Thai Chana” during the Early COVID-19 Omicron Period

Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model

Contact Info

Product

Resources

About