• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.469-476
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• 2020

Modeling and Simulation (M&S) systems which deal with situational complexity often require human involvement due to the high-level decision-making that is necessary for ship movement, navigation, control center management, shipping company logistics, meteorological system information, and maritime transportation GIS. In order to properly simulate maritime traffic, it is necessary to accurately model the human decision-making process of the ship officer, including aspects of the ship officer's behavioral tendencies, personal navigation experience, and pattern of voyage errors, as this is the most accurate way in which to reproduce and predict realistic maritime traffic conditions. In this paper, which looks at agent-based maritime traffic simulation, we created a basic survey in order to conduct behavior analysis on ship operators' collision avoidance strategies. Using the information gathered throughout the survey, we developed an agent-based navigational behavior model which attempts to capture the behavioral patterns of a ship officer during an instance of ship collision. These results could be used in the future in further developments for more advanced maritime traffic simulation.

• Journal of the Korea Society for Simulation
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• v.20 no.3
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• pp.111-117
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• 2011

This paper suggests the passenger model considered evacuation behavioral characteristics on the passenger ship fire using a rules-based agent technique. The existing evacuation simulation system was modeled only passenger speed. The speed-based model considered passenger's physical characteristics, so it couldn't consider evacuation behavioral characteristics. For solving this problem, we modeled the passenger model using a rule-based agent applied evacuation behavioral characteristics. The rule-based agent consists of knowledge base and inference engine. In knowledge base, we represented evacuation behavioral characteristics, and chose the examples of the evacuation behavioral characteristics to show various patterns of behavior. And we simulated in the IMO MSC/Circ.1238 example 8 and we proved the simulation results could represent variety patterns of human behavior.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.5
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• pp.893-899
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• 2008

Behavioral level simulations of LDO voltage regulator and phase locked loop(PLL) are performed with CPPSIM, a behavioral-level simulation tool based on C language. The validity of the simulation tool is examined by modeling analog circuits and simulating the circuits. In addition, the designed PLL adopted digital architecture to possess advantages of digital circuits.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.317-333
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• 2022

Purpose - The purpose of this study is to investigate the interrelationships between visitor motivations, attitude, and behavioral intention toward the Harbin International Ice and Snow Festival, China. It is also to test moderating roles of gender and past travel experience between these factors. Design/methodology/approach - Data was collected from potential Chinese visitors, after which 420 usable surveys were processed. Findings - To investigate our hypotheses, we used descriptive, confirmatory factor analysis, and structural equation modeling. We found that aesthetic attractiveness, purchase of local products, and involvement had positive effects on attitude toward the festival. Attitude toward the festival had a significant effect on behavioral intention to visit. Finally, it was also found that gender and past travel experience significantly moderated the interrelationships between these factors. Research implications or Originality - Theoretical and managerial implications, as well as, suggestions for future research are discussed.

• Journal of the Korean Home Economics Association
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• v.42 no.2
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• pp.133-150
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• 2004

This study aimed to find the effect of parental experiences from the family-of-origin and childrearing behaviors on their children's behavioral problems, as well as if this path differed according to the child's gender. The subjects were 1247, 4/sup th/ and 5/sup th/ graders in eight elementary schools and their parents in Seoul, Pusan, and Daejon, Korea. The data were analyzed using the Structural Equation Modeling(SEM) to verify the theoretical models among the variables. The results showed differences between the father-child model and the mother-child model on the pathways of the impact of parental experiences from the family-of-origin upon the child's internalizing and externalizing behavioral problems through parental negative rejection and permission childrearing behaviors. Specifically, 1) the father-child model showed a gender difference on the pathways of the impact of the father's experiences from the family-of-origin upon the child's internalizing and externalizing behavioral problems through the father's rejection and permission childrearing behaviors; whereas, 2) The mother-child model showed no gender difference on the pathways of the impact of the mother's experiences from the family-of-origin upon the child's internalizing and externalizing behavioral problems through the mother's negative childrearing behaviors.

• Nutrition Research and Practice
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• v.5 no.2
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• pp.163-168
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• 2011

This study was conducted to evaluate recipients' perception of service quality, satisfaction, and behavioral intention in home delivered meals program in the US. Out of 398 questionnaires, 265 (66.6%) were collected, and 209 questionnaires (52.5%) were used for the statistical analysis. A Confirmatory Factor Analysis (CFA) with a maximum likelihood was first conducted to estimate the measurement model by verifying the underlying structure of constructs. The level of internal consistency in each construct was acceptable, with Cronbach's alpha estimates ranging from 0.7 to 0.94. All of the composite reliabilities of the constructs were over the cutoff value of 0.50, ensuring adequate internal consistency of multiple items for each construct. As a second step, a Meals-On-Wheels (MOW) recipient perception model was estimated. The model's fit as indicated by these indexes was satisfactory and path coefficients were analyzed. Two paths between (1) volunteer issues and behavioral intention and (2) responsiveness and behavioral intention were not significant. The path for predicting a positive relationship between food quality and satisfaction was supported. The results show that having high food quality may create recipient satisfaction. The findings suggest that food quality and responsiveness are significant predictors of positive satisfaction. Moreover, satisfied recipients have positive behavioral intention toward MOW programs.

• Journal of Environmental Science International
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• v.29 no.10
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• pp.961-968
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• 2020

This study aims to analyze the causality of placeness cognition which includes the place satisfaction, place attachment, place function, and behavioral intention of those who visit Suseong amusement park. A questionnaire survey was administered to 255 individuals who visited in Suseong amusement park. To conduct the analysis, six hypotheses were formulated and tested. While two hypotheses were statistically rejected, four hypotheses were accepted. First, place satisfaction was found to have a positive effect on place function (β=.577, p<0.001). Second, place attachment had a positive effect on behavioral intention (β=.450, p<0.001). Third, place function had a positive effect on behavioral intention (β=.247, p<0.05). Fourth, place function was found to have a positive effect on place attachment (β=.637, p<0.001). Unlike most existing research which has indicated that place satisfaction has a direct effect on behavioral intention this study suggests a that double mediating effect through place function and place attachment between place satisfaction and behavioral intention. In addition to increasing satisfaction through the environment of the Suseong Amusement Park, it is also necessary to improve the function of the place to ensure repeated visits from visitors.

• Journal of Distribution Science
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• v.17 no.5
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• pp.29-37
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• 2019

Purpose - This paper analyzes the effects of the SST characteristics at airports on behavioral intention through technology acceptance and customer satisfaction, and presents a strategic plan for introducing SSTs to airports providing differentiated services. Research design, data, and methodology - We examine the role of airport self-service characteristics and access the influence of the Technology Acceptance Model (TAM) on both customer satisfaction and behavioral intentions towards SSTs. To do this, a survey is conducted with passengers having used self-service technologies(SSTs) at Incheon International Airport. A total of 400 questionnaires are then analyzed using structural equation modeling. Results - According to the results, of the self-service characteristics, customer satisfaction and behavioral intention were affected by optimism through perceived ease of use, perceived usefulness, and perceived enjoyment and by innovativeness and insecurity through perceived ease of use. Conclusions - According to the results of the study, the purpose of using TBSS in the airport is to save time and convenience. Therefore, it is necessary to closely analyze the differences in technology acceptance by age and generation, increase user self-efficacy, increasing satisfaction through effective management of cognitive and emotional waiting time will have a positive impact on behavioral intentions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.939-950
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• 2021

The purpose of this research is to investigate the factors affecting Thai commercial bank users' behavioral intention towards QR code payment system via mobile banking applications. The researchers conducted the study based on quantitative research approach. Non-probability sampling method such as the quota and convenience sampling was applied as sampling technique. A self-administered questionnaire was distributed. The data was collected from 1,800 respondents living in Bangkok, who have had an experience with QR code payment system with the top-three mobile banking applications in Thailand. This study concentrates on confirmatory factor analysis and structural equation modeling as a statistical tool to examine the data, model accuracy, and influence of critical variables. In addition, the researchers applied the first-order and second-order techniques to examine the relationship between constructs. Adoption readiness and perceived risk were second-order constructs. The results reveled that compatibility has an impact on attitude towards QR code payment. Moreover, adoption readiness, compatibility, attitude, and personal innovativeness are statistically significant that impact behavioral intention towards QR code payment. The strongest antecedents of behavioral intention were compatibility, attitude, adoption readiness, and personal innovativeness, respectively. Surprisingly, perceived risk and perceived trust do not statistically have a significant impact on behavioral intention towards QR code payment.

• Educational Technology International
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• v.21 no.1
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• pp.1-29
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• 2020

Despite the existing body of literature focusing on the effects of one-to-one mobile technology integration in teaching and learning, research discussed that the determinants of mobile technology acceptance and use in secondary school settings are still unclear. Hence, this study examined the extent to which determinants influence high school students' behavioral intention to use one-to-one mobile technology for learning. The newly proposed model incorporated three additional constructs beyond those in the unified theory of acceptance and use of technology (UTAUT) model, including computer self-efficacy, attitude toward using technology and computer anxiety, as suggested by recent literature. Data were collected from 247 U.S. Midwestern high school students who participated in an online survey. Using a structural equation modeling approach, this study established construct validity for the nine-construct extended UTAUT model to assess high school students' intention to use mobile technology. The results of structural relations in the proposed model showed that their behavioral intention to use mobile technology was significantly predicted by social influence and attitude toward using technology. Also, their strong behavioral intention and facilitating conditions were associated with frequent use of mobile technology in learning. Discussion, implications, and conclusion were addressed in this study.