Factors affecting perceived effectiveness of Typhoon Vamco (Ulysses) flood disaster response among Filipinos in Luzon, Philippines: An integration of protection motivation theory and extended theory of planned behavior

Kurata, Yoshiki; Prasetyo, Yogi Tri; Ong, Ardvin Kester S.; Nadlifatin, Reny; Chuenyindee, Thanatorn

doi:10.1016/j.ijdrr.2021.102670

Cited by 55 publications

(60 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PCR is defined as a combination of uncertainty and the severity of associated consequences [20]. Risk is often associated with the perceived possibility of impact or loss under uncertain circumstances [21,33]. Reducing risk and increasing confidence will have a significant impact on behavioral acceptance and continuous patronage [34].…”

Section: H6 Hb Has a Significant Direct Positive Effect On The Intent...mentioning

confidence: 99%

“…In addition, Viwattanakulvanid [14] presented how the country was able to create plans such as testing; developed methods of communication to reduce risks, and positively manage the likely increase in spread; and helped PMT is a theory utilized to measure the coping and fear appraisal of people, usually utilized for health-related behaviors [20]. Kurata et al [21] explained how PMT solely measures the perception of the risk and vulnerability of an individual. Studies such as that of van Bavel et al [22] have considered utilizing PMT to determine the minimization of exposure and risk in order to enhance online security behavior.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Yuduang

Ong

Prasetyo

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

COVID-19 contact-tracing mobile applications have been some of the most important tools during the COVID-19 pandemic. One preventive measure that has been incorporated to help reduce the virus spread is the strict implementation of utilizing a COVID-19 tracing application, such as the MorChana mobile application of Thailand. This study aimed to evaluate the factors affecting the actual usage of the MorChana mobile application. Through the integration of Protection Motivation Theory (PMT) and Unified Theory of Acceptance and Use of Technology (UTAUT2), latent variables such as performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), habit (HB), perceived risk (PCR), self-efficacy (SEF), privacy (PR), trust (TR), and understanding COVID-19 (U) were considered to measure the intention to use MorChana (IU) and the actual usage (AU) of the mobile application. This study considered 907 anonymous participants who voluntarily answered an online self-administered survey collected via convenience sampling. The results show that IU presented the highest significant effect on AU, followed by HB, HM, PR, FC, U, SEF, PE, EE, TR, and SI. This is evident due to the strict implementation of using mobile applications upon entering any area of the vicinity. Moreover, PCR was not seen to be a significant latent factor affecting AU. This study is the first to have evaluated mobile contact tracing in Thailand. The integrated framework can be applied and extended to determine factors affecting COVID-19 tracing applications in other countries. Moreover, the findings of this study could be applied to other health-related mobile applications worldwide.

show abstract

Section: H6 Hb Has a Significant Direct Positive Effect On The Intent...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Yuduang

Ong

Prasetyo

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study aimed to predict and classify factors affecting the actual usage of the Morchana COVID-19 contact tracing mobile application. In addition, the utilization of a machine learning algorithm (MLA) was considered to prove how it could be used to assess factors affecting human behavior following the suggestion and considered limitation of the traditional multivariate analysis such as SEM among several studies [19,20,[92][93][94]. MLA tools such as RFC and ANN have been utilized to assess significant factors and importance affecting the actual use of MorChana.…”

Section: Discussionmentioning

confidence: 99%

Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand

Ong

Prasetyo

Yuduang

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

With the constant mutation of COVID-19 variants, the need to reduce the spread should be explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread of the virus. This study aimed to explore factors affecting the actual use (AU) of the application through the use of machine learning algorithms (MLA) such as Random Forest Classifier (RFC) and Artificial Neural Network (ANN). An integrated Protection Motivation Theory (PMT) and the Unified Theory of Acceptance and Use of Technology (UTAUT) were considered. Using convenience sampling, a total of 907 valid responses from those who answered the online survey were voluntarily gathered. With 93.00% and 98.12% accuracy from RFC and ANN, it was seen that hedonic motivation and facilitating conditions were seen to be factors affecting very high AU; while habit and understanding led to high AU. It was seen that when people understand the impact and causes of the COVID-19 pandemic’s aftermath, its severity, and also see a way to reduce it, it would lead to the actual usage of a system. The findings of this study could be used by developers, the government, and stakeholders to capitalize on using the health-related applications with the intention of increasing actual usage. The framework and methodology used presented a way to evaluate health-related technologies. Moreover, the developing trends of using MLA for evaluating human behavior-related studies were further justified in this study. It is suggested that MLA could be utilized to assess factors affecting human behavior and technology used worldwide.

show abstract

“…Risk perception refers to the comprehensive evaluation of perceived probability and perceived consequences ( 6 ), which has emerged as the basis for exploring populations' response to hazards ( 7 , 8 ). This means that people must first perceive risk threats to them before considering or adopting protective behaviors ( 9 ), which has been emphasized in many research frameworks of disaster, such as protection motivation theory (PMT) ( 10 – 12 ), the motivation intention volition model (MIV) ( 6 , 13 ), the theory of planned behavior (TPB) ( 14 , 15 ), the theory of reasoned action (TRA) ( 16 , 17 ), etc. Individuals can further evaluate the overall threat and their coping behaviors through risk perception, which can determine their risk-response strategies ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

An empirical study of the effect of a flooding event caused by extreme rainfall on preventive behaviors against COVID-19

Liu

Lu²,

Zhang³

2022

Front. Public Health

View full text Add to dashboard Cite

Since the outbreak of COVID-19, wearing masks, vaccinations, and maintaining a safe distance has become social behaviors advocated by the government and widely adopted by the public. At the same time, unpredictable natural disaster risks brought by extreme climate change compound difficulties during epidemics and cause systemic risks that influence the existing pattern of epidemic prevention. Therefore, it is necessary to explore the effect of natural disaster risk caused by climate change on the response to outbreaks in the context of the COVID-19 epidemic. This study will focus on individual-level epidemic prevention behaviors, taking as an example the significant risk of severe destructive flooding caused by heavy rains in Henan, China, on July 20, 2021, which claimed 398 lives, to explore the effect of floods on the preventive behaviors of residents in the hardest hit areas against COVID-19. Through the multi-stage stratified random sampling of the affected residents in Zhengzhou, Xinxiang, Hebi, Luoyang, Anyang, and other cities in Henan Province, 2,744 affected people were surveyed via questionnaires. Through the linear regression model and moderating effect analysis, the study found that after floods, the individual's flood risk perception and response behaviors significantly correlated with the individual's prevention behaviors against COVID-19. Specifically, both flood risk perception and response behaviors strengthened the individual's prevention behaviors. Furthermore, the study also found that community risk preparation behavior and social capital can moderate the above relationship to a certain extent. The research can guide risk communication under the compound risk scenario and prevent risky public behavior under the consistent presence of COVID-19 in the community.

show abstract

Factors affecting perceived effectiveness of Typhoon Vamco (Ulysses) flood disaster response among Filipinos in Luzon, Philippines: An integration of protection motivation theory and extended theory of planned behavior

Cited by 55 publications

References 36 publications

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand

An empirical study of the effect of a flooding event caused by extreme rainfall on preventive behaviors against COVID-19

Contact Info

Product

Resources

About