International Journal of Construction Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10
Published: April 27, 2024
Language: Английский
Heliyon, Journal Year: 2022, Volume and Issue: 8(11), P. e11382 - e11382
Published: Nov. 1, 2022
The COVID-19 pandemic had brought changes to individuals, especially in consumer behavior. As the government of different countries has been implementing safety protocols mitigate spread virus, people became apprehensive about traveling and going out. This paved way for emergence third-party logistics (3PL). Statistics have proven rapid escalation regarding use 3PL various countries. study utilized Artificial Neural Network Random Forest Classifier validate justify factors that affect intention selecting a service provider during integrating Service Quality Dimensions Pro-Environmental Theory Planned Behavior. findings this revealed attitude is most significant factor affects consumers' behavioral intention. Other such as customer satisfaction, perceived value, environmental concern, assurance, responsiveness, empathy, reliability, tangibility, control, subjective norm, authority support, are all contributing Machine learning algorithms, specifically ANN RFC, resulted be reliable predicting they obtained accuracy rates 98.56% 93%. Results presented attitude, assurance by 3PL, concerns were highly influential choosing package carrier. It was seen would encouraged providers if demonstrate availability catering customers' needs. Subsequently, must assure convenience before, during, after providing ensure continuous patronage consumers. considered first machine ensemble measure logistic sector. framework, analysis tools, could extended applied among other intentions transportation worldwide. Managerial insights discussed.
Language: Английский
Citations
40
Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 4760 - 4760
Published: March 7, 2023
Online presence is fast becoming a marketing hub for contemporary businesses. Often known as digital marketing, the phenomenon offers several opportunities to Small and medium enterprises (SMEs) are using their online launch stern competitive promotions interact with consumers. Against backdrop of competition, being utilized drive sustainable strategies SMEs. This study leverages theory planned behavior explore impact adoption on growth SMEs in Ghana. Using structured questionnaire SmartPLS version 3.3 data analysis, 533 owners/managers Ghana were drawn administer questionnaire. Our findings suggest that, while attitudes toward did not influence intention use perceived control subjective norms found affect individuals’ intentions marketing. Additionally, results proved direct positive link between actual behavioral Finally, relationship SMEs’ was also proven positive, affirming that significantly improved developing countries. contributes multiplicity factors tendencies managers firms quest adopt platforms enhance growth. The study’s serve guidelines prospective adopters they develop sustainability strategies.
Language: Английский
Citations
34
Sustainability, Journal Year: 2022, Volume and Issue: 14(23), P. 16041 - 16041
Published: Dec. 1, 2022
The need for chemistry-related professionals has been evident with the rise of global issues such as pandemic and warming. Studies have indicated how an increase in amount should start within classroom setting, enhancing interest motivation students to pursue higher education related field. This study aimed evaluate predict factors affecting STEM students’ future intention enroll courses. Through use machine learning algorithms a random forest classifier artificial neural network, total 40,782 datasets were analyzed. Results showed that attitude toward chemistry perceived behavioral control represent most influential factors, followed by autonomy affective behavior. demonstrated interest, application real life, development knowledge skills are key indicators would lead positive pursuing course education. is first analyzed intentions using algorithm ensemble. methodology results may be applied extended among other human factor studies worldwide. Lastly, presented discussion analysis considered universities their strategies across different countries.
Language: Английский
Citations
38
International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(11), P. 6732 - 6732
Published: May 31, 2022
Mental health problems have emerged as one of the biggest in world and countries that has been seen to be highly impacted is Philippines. Despite increasing number mentally ill Filipinos, it most neglected country. The purpose this study was determine factors affecting perceived usability mobile mental applications. A total 251 respondents voluntarily participated online survey we conducted. structural equation modeling artificial neural network hybrid applied (PRU) such social influence (SI), service awareness (SA), technology self-efficacy (SE), usefulness (PU), ease use (PEOU), convenience (CO), voluntariness (VO), user resistance (UR), intention (IU), actual (AU). Results indicate VO had highest score importance, followed by CO, PEOU, SA, SE, SI, IU, PU, ASU. Having application available accessible made users perceive beneficial advantageous. This would lead continuous usage patronage application. result highlights insignificance UR. first considered evaluation can people who disorders symptoms, even government agencies. Finally, results could extended among other health-related applications worldwide.
Language: Английский
Citations
32
Sustainability, Journal Year: 2022, Volume and Issue: 14(16), P. 10424 - 10424
Published: Aug. 22, 2022
The COVID-19 pandemic affected tourists’ traveling behavior and resulted in the stoppage of Bali’s tourism growth. Hence, this study aimed to determine factors that influence Indonesians travel Bali during by utilizing extended theory planned (TBP) approach. A total 269 respondents participated survey answered forty (40) questions developed from seven (7) latent variables. Structural equation modeling (SEM) specified hedonic motivation had highest direct effect on tourist intention, followed attitude, safety protocols. Meanwhile, social media influence, perceived behavioral control, subjective norms were insignificant intention pandemic. These findings contributed proposed strategies increased number local international tourists. Since stabilize sector improve economy Bali, government stakeholders benefit results.
Language: Английский
Citations
28
Sustainability, Journal Year: 2022, Volume and Issue: 14(18), P. 11329 - 11329
Published: Sept. 9, 2022
Volcanic eruption activity across the world has been increasing. The recent of Taal volcano and Mt. Bulusan in Philippines affected several people due to lack resources, awareness, preparedness activities. disrupts sustainability a community. This study assessed people’s for volcanic using machine learning ensemble. With high accuracy prediction from ensemble random forest classifier (93%) ANN (98.86%), it was deduced that media, as latent variable, presented most significant factor affecting eruption. evident community urged find related information about warnings media sources. Perceived severity vulnerability led very preparedness, followed by intention evacuate. In addition, proximity, subjective norm, hazard knowledge significantly preparedness. Control over individual behavior positive attitude effect on It could be posited government’s effective mitigation action plan would adhered when disasters, such eruptions, persist. threat climate change, there is need reevaluate plans. findings provide evidence community’s resilience adoption sustainable methodology provided application assessing human factors natural disasters. Finally, results this applied extended other disasters worldwide.
Language: Английский
Citations
28
World Electric Vehicle Journal, Journal Year: 2023, Volume and Issue: 14(8), P. 227 - 227
Published: Aug. 18, 2023
In developed or first-world countries, hybrid cars are widely utilized and essential in technological development reducing carbon emissions. Despite that, developing third-world countries such as the Philippines have not yet fully adopted a means of transportation. Hence, Sustainability Theory Planned Behavior (STPB) was integrated with UTAUT2 framework to predict factors affecting purchasing intentions Filipino drivers toward cars. The study gathered 1048 valid responses using convenience snowball sampling holistically measure user acceptance through twelve latent variables. Machine Learning Algorithm (MLA) tools Decision Tree (DT), Random Forest Classifier (RFC), Deep Neural Network (DLNN) were anticipate consumer behavior. final results from RFC showed an accuracy 94% DLNN 96.60%, which able prove prediction significant factors. Perceived Environmental Concerns (PENCs), Attitude (AT), Behavioral Control (PBC), Performance Expectancy (PE) observed be highest This is one first extensive studies utilizing MLA approach drivers’ tendency acquire vehicles. study’s can adapted by automakers car companies for devising initiatives, tactics, advertisements promote viability utility vehicles Philippines. Since all proven significant, future investigations assess only behavioral component but also sustainability aspect individual STPB framework.
Language: Английский
Citations
14
International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(13), P. 7979 - 7979
Published: June 29, 2022
With the constant mutation of COVID-19 variants, need to reduce spread should be explored. MorChana is a mobile application utilized in Thailand help mitigate virus. This study aimed explore factors affecting actual use (AU) through machine learning algorithms (MLA) such as Random Forest Classifier (RFC) and Artificial Neural Network (ANN). An integrated Protection Motivation Theory (PMT) Unified Acceptance Use Technology (UTAUT) were considered. Using convenience sampling, total 907 valid responses from those who answered online survey voluntarily gathered. 93.00% 98.12% accuracy RFC ANN, it was seen that hedonic motivation facilitating conditions very high AU; while habit understanding led AU. It when people understand impact causes pandemic's aftermath, its severity, also see way it, would lead usage system. The findings this could used by developers, government, stakeholders capitalize on using health-related applications with intention increasing usage. framework methodology presented evaluate technologies. Moreover, developing trends MLA for evaluating human behavior-related studies further justified study. suggested assess behavior technology worldwide.
Language: Английский
Citations
22
Nuclear Engineering and Technology, Journal Year: 2022, Volume and Issue: 55(3), P. 908 - 918
Published: Nov. 21, 2022
The Saudi National Atomic Energy project aims to adopt peaceful nuclear technologies and be part of the country's energy mix. As emerging energy, it is essential understand public concerns acceptability as well factors influencing acceptance develop policy implement programs. purpose this study analyze attitudes among Arabian citizens by utilizing protection motivation theory planned behavior. A total 1,404 participants answered a questionnaire which was distribute convenience sampling approach. Structural Equation Modeling framework constructed analyzed behavior toward building first Nuclear Power Plant (NPP). Before analyzing data, model validated. research concluded that benefits power plants were in determining people's NPPs. Surprisingly, effect perceived found higher than risks acceptance. Furthermore, public's participation revealed NPPs location has significant impact on their Based finding, several implementations suggested. Finally, study's results would benefit scholars, government agencies, business sector Arabia worldwide.
Language: Английский
Citations
22
Sustainability, Journal Year: 2022, Volume and Issue: 14(19), P. 12202 - 12202
Published: Sept. 26, 2022
Typhoon Rai (202122) was one of the most devastating natural disasters globally, and Philippines is country that heavily hit by this super typhoon. This study examined preparedness Filipinos using a novel framework considering ergonomic domains disaster knowledge. A total 414 in eight regions affected typhoon answered online questionnaire distributed through social media sites convenience sampling approach. Ergonomic-based indicators for physical, cognitive, macro-ergonomics were analyzed simultaneously with disaster-knowledge such as awareness, adaptation, risk perception. The results from partial least square structural equation modeling (PLS-SEM) artificial neural network (ANN) showed physical ergonomics are key factors affecting perceived (202122). Moreover, perception also found to positively influence respondents’ preparedness, while awareness influenced adaptation findings revealed residents highly exposed locations must practice preparation evacuation ahead time. could be utilized educate local communities about importance emergency response options during lessen damage risks associated it. Academicians planners may extend investigate role knowledge developing systems increase resilience strengthening management knowledge, reinforcing coordination, communication among communities, decreasing occupational dangers, improving processes improve efficiency effectiveness.
Language: Английский
Citations
21