• Journal of the Korean Society of Systems Engineering
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• v.16 no.2
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• pp.38-46
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• 2020

The accurate measurement of critical heat flux (CHF) in flow boiling is important for the safety requirement of the nuclear power plant to prevent sharp degradation of the convective heat transfer between the surface of the fuel rod cladding and the reactor coolant. In this paper, a System Engineering approach is used to develop a model that predicts the CHF using machine learning. The model is built using artificial neural network (ANN). The model is then trained, tested and validated using pre-existing database for different flow conditions. The Talos library is used to tune the model by optimizing the hyper parameters and selecting the best network architecture. Once developed, the ANN model can predict the CHF based solely on a set of input parameters (pressure, mass flux, quality and hydraulic diameter) without resorting to any physics-based model. It is intended to use the developed model to predict the DNBR under a large break loss of coolant accident (LBLOCA) in APR1400. The System Engineering approach proved very helpful in facilitating the planning and management of the current work both efficiently and effectively.

• Journal of Distribution Science
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• v.19 no.9
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• pp.5-17
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• 2021

Purpose: As mobile devices are commonly used and contact-free services are widespread due to the COVID-19 pandemic in the recent distribution environment, this study suggests retail strategies for consumers using high-speed railways. To this end, we analyzed how consumer perception on technologies necessary for use of mobile apps is related to the attitude that drives consumers to continue using the app services. Research design, data and methodology: Based on the extended unified theory of technology acceptance and use of technology model by Venkatesh, Morris, Davis and Davis (2003), we added variables proposed by existing theories that studied the technology acceptance model from multiple perspectives and empirically analyzed the relationship between user satisfaction and use intention with structural equation modeling. Results: As expected, factors necessary for the use of app services such as performance expectancy, social influence, price value, facilitating conditions, security, and aesthetics had positive effects on user satisfaction, whereas the effect of effort expectancy on user satisfaction was rejected. And user satisfaction was found to have a significant effect on intention to use. Conclusions: The results provide implications that strategic retail management of the above factors can motivate passengers to continuously use high-speed railways.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.217-227
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• 2022

The main purpose of this study is to analyze the adoption and use of mobile banking by university students and its potential determining factors. This study comprises 259 completed questionnaires answered through an online survey method. The respondents are Mongolian university students who have experience in using mobile banking applications. Young adults rely heavily on technology and are more likely to adopt mobile banking applications; however, there is limited research on the acceptance and use of mobile banking applications among this cohort, particularly from the perspective of Central Asian developing economies. Through using the SmartPLS 3.3 software, confirmatory factor analysis was conducted to evaluate the construct and structural equation modeling. The main results indicate that performance expectancy, effort expectancy, social influence, and facilitating conditions are the main constructs related to mobile banking technology acceptance; perceived security positively impacts perceived trust. Moreover, perceived trust is the construct of the use of mobile banking technology by the university students who responded to the questionnaire. However, the relationship between perceived risk and use behavior was not accepted.

• Journal of Information Science Theory and Practice
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• v.10 no.3
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• pp.24-39
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• 2022

Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

• Clinical and Experimental Reproductive Medicine
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• v.47 no.4
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• pp.245-262
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• 2020

In recent years, nanotechnology has revolutionized global healthcare and has been predicted to exert a remarkable effect on clinical medicine. In this context, the clinical use of nanomaterials for cancer diagnosis, fertility preservation, and the management of infertility and other pathologies linked to pubertal development, menopause, sexually transmitted infections, and HIV (human immunodeficiency virus) has substantial promise to fill the existing lacunae in reproductive healthcare. Of late, a number of clinical trials involving the use of nanoparticles for the early detection of reproductive tract infections and cancers, targeted drug delivery, and cellular therapeutics have been conducted. However, most of these trials of nanoengineering are still at a nascent stage, and better synergy between pharmaceutics, chemistry, and cutting-edge molecular sciences is needed for effective translation of these interventions from bench to bedside. To bridge the gap between translational outcome and product development, strategic partnerships with the insight and ability to anticipate challenges, as well as an indepth understanding of the molecular pathways involved, are highly essential. Such amalgamations would overcome the regulatory gauntlet and technical hurdles, thereby facilitating the effective clinical translation of these nano-based tools and technologies. The present review comprehensively focuses on emerging applications of nanotechnology, which holds enormous promise for improved therapeutics and early diagnosis of various human reproductive tract diseases and conditions.

• Journal of Distribution Science
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• v.21 no.5
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• pp.31-41
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• 2023

Purpose: Electric vehicle (EV) technology started in 2015 in Thailand. The Thai Government has indicated that 30% of all cars produced in Thailand by 2025 will be EVs. Using EVs in Thailand will reduce road pollution and increase energy efficiency, especially in major cities. Hence, the adoption of EVs in the country has been promoted. This study pointed out that social influence, facilitating conditions, perceived enjoyment, environmental concern, attitude, and perceived behavioral control are key factors affecting the behavioral intention to adopt EVs among logistic and distribution firms in Thailand. Research design, data, and methodology: 500 top management, middle management and purchasing managers of logistic and distribution firms in Thailand are surveyed. The study employed judgmental, convenience, and snowball sampling. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) are the main statistical tools for data analysis. Results: The results show that all determinants impact customers' willingness to adopt EVs, except perceived enjoyment and environmental control. Conclusions: The study proposes to promote the incentives by decreasing electricity prices and endorsing EVs purchase to accelerate the adoption of EVs in Thailand. Therefore, future policies should focus on behavioral intention toward EVs amongst logistic and distribution firms for enhancing the future of mobility in Thailand.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.76-101
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• 2021

Digitalization and digital transformations have metamorphized the face of Financial Inclusion globally, more so, in cash obsessed economies like India. The purpose of our study is to empirically analyze the users' intention to adopt digital payment systems, post Demonetisation, during the COVID-19 pandemic in India. The conceptual framework for the study is based on the Unified Theory of Acceptance and Use of Technology (UTAUT) adoption model with added operationalized constructs of Perceived Risk and Stickiness to use Cash. A total of 326 respondents were surveyed using a pre-tested questionnaire during the Nationwide Lockdown 3.0 in India. These responses were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM) technique. The findings of the study revealed that performance expectancy and facilitating conditions directly influence the intention of individuals to use digital payment systems, whereas the effect of perceived ease of use on digital payment systems is mediated through the attitude towards the digital payment systems during COVID-19 pandemic situation. Implications of the proposed adoption model are discussed. This will enable the other developing economies to formulate a digital ecosystem, that is here to stay even after the pandemic.

• Asia pacific journal of information systems
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• v.32 no.3
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• pp.630-655
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• 2022

This paper examines the integrated QR code payment service (QRIS) adoption by retailers in Indonesia. Indonesia started its cashless journey in 2017 by using electric money in card form. As the country keeps developing, Indonesia has planned to integrate its payment towards a cross-border payment using QR codes by 2025 in the South East Asian region. Facing government vision, MSMEs that act as the significant economy wheel in Indonesia was required to be prepared to face the multi-cultural, multi-currency, and the new tech innovation for doing transactions. However, as a developing country, Indonesia faced significant problems with its infrastructure, which made it hard for merchants to access digital payment. As infrastructure was a common problem for developing countries, Indonesia also faced financial inclusion, lack of digital knowledge, a high amount of cash use, and socialization that made low digital payment penetration. Therefore, as there was a need to increase digital payment penetration for ASEAN integrated payment, this study found that merchant compatibility, facilitating conditions, trust, and relative advantages are drivers for MSMEs using this payment method. Further, this research provides propositions for banks, financial institutions, and governments to develop and evolve towards a cashless ecosystem, especially for a country lacking infrastructure.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.119-147
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• 2024

This study aims to analyze older adults's intention to use digital financial services. To verify the purpose, the '2022 Korean Senior Technology Acceptance Panel Survey' data were used. And a shortened Senior Technology Acceptance Model(STAM) reflecting the characteristics of older adults was applied. The results of Structural Equation Model analysis are as follows. First, the lower gerontechnology anxiety, the higher control beliefs reflecting perceived ease of use, self-efficacy and facilitating conditions and the intention to use digital financial services. Second, the health factor had a positive effect on the control beliefs. Third, the higher the control beliefs, the higher the attitudinal beliefs reflecting perceived usefulness and attitude and the intention to use digital financial services. Lastly, the higher attitudinal beliefs, the higher the intention to use digital financial services. The results suggest the need for interventions that can relieve gerontechnology anxiety and strengthen positive perceptions about control beliefs and attitudinal beliefs in order to increase older adults's intention to use digital financial services.