Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach

German, Josephine D.; Ong, Ardvin Kester S.; Redi, Anak Agung Ngurah Perwira; Robas, Kirstien Paola E.

doi:10.1016/j.heliyon.2022.e11382

Cited by 31 publications

(60 citation statements)

References 86 publications

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“…Utilizing the Yamane Taro equation, the Philippines' total population is 62.6 million. At 95% confidence, 399 or roughly 400 respondents would suffice the generalizability [50]. The current study had 1014 respondents, which may be confidently a representation of the consumers.…”

Section: Participantsmentioning

confidence: 88%

“…It was also established that RFC shows only the highly significant factors affecting a subject matter. German et al [50] explained that mostly, RFC can suffice as support for SEM analysis since it provides insight into the significant latent variables relating to the dependent variables which may be significant due to the relative indirect effects but may not be evident. Similarly, German et al [50] showed the accuracy rates of different machine learning tools.…”

Section: Random Forest Classifiermentioning

confidence: 99%

“…German et al [50] explained that mostly, RFC can suffice as support for SEM analysis since it provides insight into the significant latent variables relating to the dependent variables which may be significant due to the relative indirect effects but may not be evident. Similarly, German et al [50] showed the accuracy rates of different machine learning tools. To which, neural networks may provide better accuracy rates, but would have higher standard deviation compared to RFC which shows the consistent output.…”

Section: Random Forest Classifiermentioning

confidence: 99%

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Evaluating factors influencing customers’ intention to eat Korean cuisine “Samgyeopsal” in the Philippines: A structural equation model forest classifier approach

Ong,

Prasetyo,

Manguray

et al. 2023

PLoS ONE

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Samgyeopsal has become a widely popular cuisine in the Philippines since 2014. The rise of Samgyeopsal is evident worldwide as it is available in countries such as the United States, Northern, and Southern Asia. This study aimed to explore the intention to eat Samgyeopsal during the COVID-19 pandemic utilizing structural equation modeling and random forest classifier. With a total of 1014 responses collected online, the result showed that utilitarian and hedonic motivation, Korean influence, and attitude led to very high actual behavior in east Samgyeopsal in the Philippines. Moreover, subjective norm, perceived behavioral control, and intention led to significant results influencing intention to actual behavior. Lastly, the COVID-19 safety protocol showed the least significant result. This study is the first study that evaluated the intention of consumers to eat Samgyeopsal in the Philippines during the COVID-19 pandemic. The results of this study would be beneficial to Korean BBQ restaurateurs and the further development of their marketing strategies even in other countries. Finally, the model construct of this study can be extended and applied in evaluating the consumers’ eating intention toward other varieties of food or cuisines worldwide.

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Section: Participantsmentioning

confidence: 88%

Section: Random Forest Classifiermentioning

confidence: 99%

Section: Random Forest Classifiermentioning

confidence: 99%

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Evaluating factors influencing customers’ intention to eat Korean cuisine “Samgyeopsal” in the Philippines: A structural equation model forest classifier approach

Ong,

Prasetyo,

Manguray

et al. 2023

PLoS ONE

Self Cite

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“…This part is allotted for the measurement of the coping and threat appraisal and usage of online groceries with the consideration of the COVID-19 pandemic. Each question utilized a 5-point Likert Scale [ 6 , 30 , 38 , 69 , 77 , 78 ].…”

Section: Methodsmentioning

confidence: 99%

“…Following different studies [ 38 , 78 ], the 21,261 data points underwent data cleaning using correlation analysis. A threshold of 0.20 correlation coefficient with p-value 0.05 was considered for significant indicators.…”

Section: Methodsmentioning

confidence: 99%

A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines

Gumasing,

Ong,

et al. 2023

Heliyon

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Determining tricycle service quality and satisfaction in the Philippine urban areas: A SERVQUAL approach

Ong

Prasetyo

Lagura

et al. 2023

Cities

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Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach

Cited by 31 publications

References 86 publications

Evaluating factors influencing customers’ intention to eat Korean cuisine “Samgyeopsal” in the Philippines: A structural equation model forest classifier approach

Evaluating factors influencing customers’ intention to eat Korean cuisine “Samgyeopsal” in the Philippines: A structural equation model forest classifier approach

A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines

Determining tricycle service quality and satisfaction in the Philippine urban areas: A SERVQUAL approach

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