Suchergebnisse

The current diverse opportunities available worldwide have caused an increase in the pursuit of changing jobs in the Philippines for greener pastures, leading to a decrease in organization efficiency due to career shifts or intentions for shifting. With the evident movement of workers, this study aimed to establish a model for determining the factors that influence job-seeking Filipino workers to shift careers and seek greener pastures by holistically analyzing variables using the Theory of Planned Behavior and the Value-Belief-Norm. A total of 210 valid responses among employees who shifted careers were collected through online surveys via social media platforms using purposive sampling. Partial least square structural equation modeling as the main multivariate tool was utilized to assess the hypothesized relationships. The findings of this study revealed that self-transcendence values in shaping personal norms and ascription to responsibility affected the intention to career shift or greener pasture-seeking behavior. In addition, subjective norms affected attitude, while organizational commitment negatively affected intention for greener pastures. It was seen that the factors that affect intention behavior the most among Filipinos were better opportunities, financial stability, workplace environment, and work–life balance—a notion that connects with the Protestant Work Ethics. It was evident that self-perception of a better career, growth, and overall profit merged to influence the intention of a career shift. It could be suggested that job rotation and job enhancement may reduce these intentions and lead to satisfaction among employees. Moreover, job roles may be reevaluated to identify (dis)satisfaction among employees, so the spearheading team may evaluate what actions are needed. Enhancement of skills and development through seminars and training may also be considered.

Recreational facilities are widely regarded as one of the largest sources of and contributors to the tourism of countries worldwide. Given this, this study aimed to examine adults' general behavioral intentions and actual visitation to amusement and recreational facilities. A total of 1367 adult and young-adult Filipinos voluntarily answered a self-administered survey consisting of measure items drawing on the extended theory of planned behavior framework. Structural equation modeling was employed for the simultaneous analysis of all latent variables and their causal relationships, and the marketing mix greatly affected the hedonic motivation and perceived behavioral control, leading to an indirect effect on behavioral intentions and actual visitation. Subjective norms and attitudes also had a significant direct effect on behavioral intentions and indirect effects on actual visitation. Interestingly, the marketing mix prompted a higher significant effect than behavioral intentions on actual visitation. It was implied that consumers are going to recreational facilities and amusement parks when they can visit an area, access a location, participate in different activities, and have enough resources. Businesses may capitalize on this finding in promoting their amusement parks and recreational facilities. In addition, they may highlight their location and space because they are among the highly significant measured items that the participants noted. The results of this study provides insights into the strategies, individual behavior, and motivation aspects. Implications and managerial insights are provided for the study's adoption and extension worldwide.

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.

Mental health problems have emerged as one of the biggest problems in the world and one of the countries that has been seen to be highly impacted is the Philippines. Despite the increasing number of mentally ill Filipinos, it is one of the most neglected problems in the country. The purpose of this study was to determine the factors affecting the perceived usability of mobile mental health applications. A total of 251 respondents voluntarily participated in the online survey we conducted. A structural equation modeling and artificial neural network hybrid was applied to determine the perceived usability (PRU) such as the social influence (SI), service awareness (SA), technology self-efficacy (SE), perceived usefulness (PU), perceived ease of use (PEOU), convenience (CO), voluntariness (VO), user resistance (UR), intention to use (IU), and actual use (AU). Results indicate that VO had the highest score of importance, followed by CO, PEOU, SA, SE, SI, IU, PU, and ASU. Having the mobile application available and accessible made the users perceive it as highly beneficial and advantageous. This would lead to the continuous usage and patronage of the application. This result highlights the insignificance of UR. This study was the first study that considered the evaluation of mobile mental health applications. This study can be beneficial to people who have mental health disorders and symptoms, even to health government agencies. Finally, the results of this study could be applied and extended among other health-related mobile applications worldwide.

The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been progressing worldwide. To mitigate the COVID-19 contraction, different contact tracing applications have been utilized such as Thai Chana from Thailand. This study aimed to predict factors affecting the perceived usability of Thai Chana by integrating the Protection Motivation Theory and Technology Acceptance Theory considering the System Usability Scale, utilizing deep learning neural network and random forest classifier. A total of 800 respondents were collected through convenience sampling to measure different factors such as understanding COVID-19, perceived severity, perceived vulnerability, perceived ease of use, perceived usefulness, attitude towards using, intention to use, actual system use, and perceived usability. In total, 97.32% of the deep learning neural network showed that understanding COVID-19 presented the most significant factor affecting perceived usability. In addition, random forest classifier produced a 92% accuracy with a 0.00 standard deviation indicating that understanding COVID-19 and perceived vulnerability led to a very high perceived usability while perceived severity and perceived ease of use also led to a high perceived usability. The findings of this study could be considered by the government to promote the usage of contact tracing applications even in other countries. Finally, deep learning neural network and random forest classifier as machine learning algorithms may be utilized for predicting factors affecting human behavior in technology or system acceptance worldwide.

Mental health problems have emerged as one of the biggest problems in the world and one of the countries that has been seen to be highly impacted is the Philippines. Despite the increasing number of mentally ill Filipinos, it is one of the most neglected problems in the country. The purpose of this study was to determine the factors affecting the perceived usability of mobile mental health applications. A total of 251 respondents voluntarily participated in the online survey we conducted. A structural equation modeling and artificial neural network hybrid was applied to determine the perceived usability (PRU) such as the social influence (SI), service awareness (SA), technology self-efficacy (SE), perceived usefulness (PU), perceived ease of use (PEOU), convenience (CO), voluntariness (VO), user resistance (UR), intention to use (IU), and actual use (AU). Results indicate that VO had the highest score of importance, followed by CO, PEOU, SA, SE, SI, IU, PU, and ASU. Having the mobile application available and accessible made the users perceive it as highly beneficial and advantageous. This would lead to the continuous usage and patronage of the application. This result highlights the insignificance of UR. This study was the first study that considered the evaluation of mobile mental health applications. This study can be beneficial to people who have mental health disorders and symptoms, even to health government agencies. Finally, the results of this study could be applied and extended among other health-related mobile applications worldwide.

L'article questionne l'efficacité de la « justice transitionnelle » à travers l'exemple des ONG serbes. L'hypothèse retenue pose que les ONG, à partir de l'exemple des ONG serbes, fédérées autour d'un système transnational des droits de l'Homme, restent, malgré cela, en concurrence ou en discordance autour des questions mémorielles régionales, les unes avec les autres, ce qui aboutit à générer des nouveaux conflits dans les politiques de réconciliation. L'article s'interroge sur les difficultés des ONG à imposer leur justice transitionnelle face à la passivité de l'État serbe et à l'importance de leur dépendance aux bailleurs internationaux. Grâce aux pressions étrangères, elles peuvent influencer le gouvernement serbe. L'article montre toute l'ambiguïté pour ces ONG d'agir au nom des droits de l'Homme au niveau national tout en étant discordantes entre elles, imbriquées dans des relations internationales et dépendantes financièrement des donateurs internationaux.