Filipinos’ intention to participate in 2022 leyte landslide response volunteer opportunities: The role of understanding the 2022 leyte landslide, social capital, altruistic concern, and theory of planned behavior

Cahigas, Maela Madel L.; Prasetyo, Yogi Tri; Persada, Satria Fadil; Nadlifatin, Reny

doi:10.1016/j.ijdrr.2022.103485

Cited by 16 publications

(5 citation statements)

References 43 publications

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“…As a resulting behavior, people are inclined to seek social approval because they dislike being punished and abandoned [49]. Meanwhile, others use social pressure to contribute to goodness and encourage positivity [50].…”

Section: Features Affecting the Pub Passengers' Behaviorsmentioning

confidence: 99%

A Comprehensive Analysis of Clustering Public Utility Bus Passenger’s Behavior during the COVID-19 Pandemic: Utilization of Machine Learning with Metaheuristic Algorithm

et al. 2023

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Public utility bus (PUB) systems and passenger behaviors drastically changed during the COVID-19 pandemic. This study assessed the clustered behavior of 505 PUB passengers using feature selection, K-means clustering, and particle swarm optimization (PSO). The wrapper method was seen to be the best among the six feature selection techniques through recursive feature selection with a 90% training set and a 10% testing set. It was revealed that this technique produced 26 optimal feature subsets. These features were then fed into K-means clustering and PSO to find PUB passengers’ clusters. The algorithm was tested using 12 different parameter settings to find the best outcome. As a result, the optimal parameter combination produced 23 clusters. Utilizing the Pareto analysis, the study only considered the vital clusters. Specifically, five vital clusters were found to have comprehensive similarities in demographics and feature responses. The PUB stakeholders could use the cluster findings as a benchmark to improve the current system.

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Section: Features Affecting the Pub Passengers' Behaviorsmentioning

confidence: 99%

A Comprehensive Analysis of Clustering Public Utility Bus Passenger’s Behavior during the COVID-19 Pandemic: Utilization of Machine Learning with Metaheuristic Algorithm

et al. 2023

Self Cite

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“…Since online communities tend to invite new users, people are more likely to follow their peers [ 43 ]. Lastly, attitude is a two-way path because humans can either reflect positive or negative emotions [ 44 ]. Humans' positive attitudes are displayed after demonstrating the reflective needs and advantages of technology systems [ 25 ].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…This factor keeps NFT gamers engaged because they are eager to overcome online missions through their abilities. However, users must have grit and adequate technical knowledge [ 44 , 47 ]. These abilities refer to one's perceived behavioral control.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Factors Influencing Non-Fungible Tokens (NFT) Game Engagement during the COVID-19 pandemic: The Theory of Planned Behavior (TPB) and Hedonic Motivation System Adoption Model (HMSAM) Approach

Perez,

Prasetyo,

Cahigas

et al. 2023

Heliyon

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“…Subjective norm can influence an individual's decisions and behaviors, especially within complex social contexts (Fenitra et al 2023). For example, if the opinions or judgments of those around an individual lean negatively towards a certain behavior, it can affect that individual's decision not to undertake the desired action due to the risk of being perceived negatively by those in their immediate circle if they were to engage in the behavior (Mutybere et al 2023;Cahigas et al 2023).…”

Section: Subjective Normmentioning

confidence: 99%

Exploring Factors That Shape Indonesian’s Intentions to Purchase Herbal Medicine

Keni,

Wilson,

Dharmawan

2023

JBA

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The pharmaceutical industry has emerged as one of the most rapidly expanding sectors globally, and this trend holds true for Indonesia as well. Within this industry, a notably popular type of medication in Indonesia is herbal medicine. This variant of medicine is derived from traditional and natural ingredients, with minimal incorporation of chemical substances. To delve into this phenomenon, the present study aims to identify the factors influencing Indonesians' inclination and intention to purchase herbal medicine. To achieve this, the study integrates key variables from the original Theory of Reasoned Action (TRA) framework, namely attitude and subjective norm, along with an additional element – perceived value. The methodology employed involves a survey-based approach, utilizing questionnaires as the primary data collection tool among the chosen participants. The sampling method chosen is non-probability purposive sampling, ensuring that only individuals who meet the predetermined criteria participate – specifically, individuals who have acquired herbal medicines within the past 6 months. Employing a 7-point Likert scale, a total of 156 data points were amassed. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), with SmartPLS 4 software being the designated tool. Through the scrutiny of the data, the authors conclude that attitude, subjective norm, and perceived value significantly impact consumers' intention to purchase herbal medicine in Indonesia.

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Filipinos’ intention to participate in 2022 leyte landslide response volunteer opportunities: The role of understanding the 2022 leyte landslide, social capital, altruistic concern, and theory of planned behavior

Cited by 16 publications

References 43 publications

A Comprehensive Analysis of Clustering Public Utility Bus Passenger’s Behavior during the COVID-19 Pandemic: Utilization of Machine Learning with Metaheuristic Algorithm

A Comprehensive Analysis of Clustering Public Utility Bus Passenger’s Behavior during the COVID-19 Pandemic: Utilization of Machine Learning with Metaheuristic Algorithm

Factors Influencing Non-Fungible Tokens (NFT) Game Engagement during the COVID-19 pandemic: The Theory of Planned Behavior (TPB) and Hedonic Motivation System Adoption Model (HMSAM) Approach

Exploring Factors That Shape Indonesian’s Intentions to Purchase Herbal Medicine

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