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

German, Josephine D.; Redi, Anak Agung Ngurah Perwira; Prasetyo, Yogi Tri; Persada, Satria Fadil; Ong, Ardvin Kester S.; Young, Michael Nayat; Nadlifatin, Reny

doi:10.1016/j.jclepro.2022.131123

Cited by 84 publications

(148 citation statements)

References 100 publications

Supporting

Mentioning

140

Contrasting

Unclassified

Order By: Relevance

“…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

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

show abstract

“…Tejada and Punzalan (2012) believed that 5% error is the most optimal solution. Hence, this study incorporated the same principle and it was expected to collect at least 399 responses ( German et al, 2022 ). In conclusion, the form accumulated 505 participants who experienced riding PUB during the pandemic era in the Philippines.…”

Section: Methodsmentioning

confidence: 99%

“…On the other hand, TPB is considered one of the best predictors to understand people's intentions and alleged behavior ( Ajzen, 1991 ; German et al, 2022 ). Since passengers have their perceptions towards PUB, one's insight is most likely different from another passenger's.…”

Section: Introductionmentioning

confidence: 99%

Understanding the perceived behavior of public utility bus passengers during the era of COVID-19 pandemic in the Philippines: Application of social exchange theory and theory of planned behavior

Cahigas

Prasetyo

Persada

et al. 2022

Research in Transportation Business & Management

Self Cite

View full text Add to dashboard Cite

“…With that, the higher the number of respondents, the more generalizable the output would be ( Hair et al., 2010 ). In terms of generalizability, German et al. (2022) suggested to utilize the Yamane Taro formula for representation of the general public.…”

Section: Methodsmentioning

confidence: 99%

“…However, as suggested, the behavioral aspects should also be explored to analyze completely SCA. With that, TPB was considered as a framework that has been denounced as a model which completely analyze an individual's behavior ( German et al., 2022 ). Prasetyo et al.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Utilizing SEM-RFC to predict factors affecting online shopping cart abandonment during the COVID-19 pandemic

Ong

Dejucos

Rivera

et al. 2022

Heliyon

View full text Add to dashboard Cite

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

Cited by 84 publications

References 100 publications

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

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

Understanding the perceived behavior of public utility bus passengers during the era of COVID-19 pandemic in the Philippines: Application of social exchange theory and theory of planned behavior

Utilizing SEM-RFC to predict factors affecting online shopping cart abandonment during the COVID-19 pandemic

Contact Info

Product

Resources

About